Chemistry Tutor - Getting Your Teachers Feedback

Chemistry Tutor - Getting Your Teacher's FeedbackSince so many people are looking for a chemistry tutor, it is important to get an assessment of their level of knowledge. That is the reason why, in Grantham, teachers have always placed stress on feedback during test-taking. However, you should not be afraid to give your feedback directly to the tutor.You have to explain your knowledge about the subject to the tutor as well as explain the reasons why you choose the particular tutor in Grantham. You can express your doubts in writing to the tutor. Another tip is to use different vocabulary words when discussing your understanding. This will help the tutor to clarify what he is talking about.If you find it difficult to give your feedback, you can use video and other forms of feedback like audio recording. You can also discuss your understanding in written form with the tutor. It is important to be honest about what you know and what you do not know in case you are being talked down to b y the tutor.At this stage, you also need to write down your answers if you can remember them. All those questions asked in front of the tutor will be very helpful in the evaluation process. You can ask your teacher and the tutor for feedback to get the points correct.In Grantham, there are two ways of assessing your test results. You can either ask the teacher directly or you can contact a tutor to get the results. The former option is easy but you need to talk to the tutor.If you find that the tutor is not helpful, you can go back to the teacher and ask them for further help. One more tip is to discuss your problem with the teacher. It is also important to ask for a fresh tutor if you are not satisfied with the results.Getting a tutor in Grantham is an important lesson that every student needs to learn. However, you should learn to trust the tutor that you have hired. Otherwise, you could end up with a waste of time and money.

7 Tips to Settle in at College

7 Tips to Settle in at College Tips From an Orange County College Tutor: How to Settle in at College Tips From an Orange County College Tutor: How to Settle in at College Freshmen are just starting to settle in on campus and are figuring out what’s working and what’s not. There are so many things that new college students have to deal with and it’s important to be able to focus on academics. There are a few things that freshmen can do to start adjusting. 1 Make yourself comfortable Dorms are not nearly as nice as the comfort of home but most new college students live in them anyways. It’s important for students to have as much comfort as possible when settling in to the college environment. In addition to making their room nicer, students should make sure they have comfortable clothes and shoes that are appropriate for the season. Freshmen will have plenty of walking to do during their first year so they should consider practicalities over fashion. 2 Create an excellent note-taking system University-level courses are entirely overwhelming and totally different than high school courses. It’s very easy to get confused and forget which notes went with which topics or assignments. Students who are highly organized are more likely to keep assignments separate and recall which items are due for which course. Note-taking is a huge part of the college experience and, whether typed on a tablet or written on paper, it’s essential to success (READ: 5 Things to Consider if you are Applying to Graduate Schools). 3 Squeeze in study time During the first year of college, most students have yet to find how best to fill all of those free minutes in between classes. Although it’s important to make new friends and explore campus, especially in the beginning, students can use those valuable minutes here and there as part of their study routine. A half hour here and 90 minutes there can make a big difference when it comes to getting important assignments completed on time. 4 Make study-minded friends One of the best ways to get distracted during the first term at college is to make friends who don’t value academics and learning. Regardless of your particular major, it’s a great idea to make friends with other students who want to perform well in classes and spend free time studying. When students join a study group or even just hang around with responsible peers, they are more likely to value their own education and make it through the first year without any problems. 5 Think minimalist Clutter isn’t in any way helpful when it comes to adjusting to college life. Whether a student has piles of stuff lying around the dorm room or an overloaded back pack, tons of extra stuff can be a huge distraction. It’s better for new students to think minimalist and streamline their lifestyle. If students can get themselves organized, they have a better chance of focusing on assignments and avoiding unnecessary distraction. 6 Share responsibilities Once freshmen have met peers who are focused on education, they can start sharing responsibilities. Study skills and organization are a lot easier to accomplish when shared. New students are encouraged to work as a team and figure out who has skills in particular areas. Many students feel the need to go it alone and this can be detrimental to their academic life as well as their general well being. Sharing responsibilities can make college life easier overall. 7 Join a social club or organization One of the biggest non-academic issues when starting college is adjusting to a new social life. Most students have had the same close friends for at least four years and they are now in a situation where they have to make a whole new group of friends almost overnight. Although all students are in the same situation, not everyone will have an easy time of it. One of the best ways to meet friends with shared interests is to join a social club on campus. Students will basically have a dozen new acquaintances in a matter of hours (READ: 5 Ways to Transition Back to College). In Short Although adjusting to college life is one of the biggest changes young people will ever make, there are several things they can do to make the transition easier. Whether they are dealing with academic or social issues, students are better off in the company of peers than to try to achieve everything on their own. Start the academic year off strong with the help of an Orange County private college tutor. Call us for details! All blog entries, with the exception of guest bloggers, are written by Tutor Nerds. Are you an education professional? If so, email us at pr@tutornerds.com for guest blogging and collaborations. We want to make this the best free education resource in SoCal, so feel free to suggest what you would like to see us write.

4 Tips to Follow for a Positive Work-Life Balance

4 Tips to Follow for a Positive Work-Life Balance via Pixabay 1. Leave Your Work at Work As much as you want to impress your boss with your work ethic, it is important to separate home from work in order to achieve positive work-life balance. When you end your day at the office, make sure to  end your day  at  the office. That is, turn off your email and dont answer your phone unless you know are expecting something important to happen outside of normal hours. By doing so, you will allow your brain to decompress and recoup after a long day. When you do not think about work 24/7, you will be able to go to work each morning with a fresh perspective on problems. You will also be more sociable in your home life if you are not staring at your phone or laptop the whole time. In a world where we are always tethered, it is even more important that you find a way to take time away from the work tether when you are out with friends. Additionally, if your job involves you working from home, then you should try to develop a specific workspace separate from the rest of your house. Id eally, this would be an entirely separate room; but if that is not possible, dedicate a desk or table to work only; and, above all, do not work from bed. Similarly, you should leave most of home at home. That is, when you are at your desk, whether in the office or at home, you should avoid texting outside friends or family unless for emergency purposes. Leaving social aside will allow you to be more productive and efficient during your work hours, and it will allow you to be  more  sociable later on in the day, when you can celebrate your achievements. 2. Exercise Spending time outside of work by doing something active will also lead to a positive work-life balance. This could be going for a run, doing yoga, walking the dog...anything that gets you moving. When you exercise before leaving for work in the morning or right when you get home at the end of the day, you release stress endorphins, which will bring more clarity and peace to your lifestyle. When life is moving at 900mph, finding time to dedicate to personal health is even more crucial. via Pixabay 3. Set a Structure Set goals and deadlines for any work-related projects. Owning a planner will help a lot with positive work-life balance. By keeping a relatively-strict schedule, you will refrain from becoming overwhelmed to the point that you cannot leave your work at the office; and it will also allow for more opportunity for you to not think about work  all  the time and thus enjoy hanging out with friends and family. At the same time, a schedule will make you stay on track so that you can impress your boss with efficiency and maybe get things done ahead of time. Along with this time-management skill (which hopefully college taught you some of) for a positive work-life balance comes the idea to start small. Whether this is on the work side, or the life side, if you have something you want to change, dont try to do it in one drastic jump. Instead, make little adjustments to your standard schedule, and once you successfully make one adjustment, start to make another. Build slowly, and you will succe ed! 4. Take Breaks When it is time for lunch at work, actually take your lunch break. Even if your bring your own food, leave your desk and find somewhere else to eat (kitchen, patio..etc). You could also go for a walk during this time or do a complete exercise regiment depending on your time schedule. Taking the time to walk away from a project, get some nourishment, and talk to other people, will allow you to come back refreshed for the second half of the day. Of course, you do not want to take too many breaks and be unproductive, as this will lead to lack of success both in and out of the workplace (i.e. your structure will be gone), but a few breaks can go a long way towards a positive work-life balance. If nothing else from these tips, take this one to heart. If you want to have a positive work-life balance,    listen to your mind and body.  Your body knows what is best for you, and it will tell you when you are doing too much or too little. No one else can tell you what is best for you than you. So, when you are feeling overtired, not yourself, or lethargic, look back on your days and see how you can adjust by way of the above tips.

Sky Avenues International Montessori Kindergarten

Sky Avenues International Montessori Kindergarten Sky Avenues International Montessori Kindergarten Sky Avenues International Kindergartens is committed to the service of the community, understanding that children are the major contributors to our future society. We strive together with the family and society beyond to create educational and personal excellence for the future harmony of our world. As Fujian Provinces first and only Internationally Licensed kindergarten, we are incredibly proud of our group of schools.Opened in 2013, Sky Avenues International Kindergarten has rapidly grown from one classroom with just a few children to todays 3 kindergartens 300 children from 0-6 years old. More and more families are understanding the importance of a natural, organic, happy, holistic and respectful learning environment for their children. When this is married with English language immersion taught by trained, native English speaking teachers, we have a school that brings world education to the children of Xiamen. We currently follow 2 curriculums: an interdisciplinary programme that merges the best of many programmes world-wideand the child-centred, mixed-age Montessori early years curriculum. View our Brochure

Understanding Chemistry Tutors

Understanding Chemistry TutorsWhether you are a complete novice or an expert student, when it comes to applying for a chemistry tutor in Northridge, Los Angeles, the first thing that you should do is to become familiar with all the requirements that will be included in your application. When you have understood all the information, the only thing left is to apply and find out if you qualify for the position.A good chemistry tutor in Northridge can be a very useful asset to your schooling and career. This is why it is essential to make sure that you are hiring a professional individual. It is also important to understand that you need to pay attention to the qualifications that you are getting for your hire, so that you do not miss any opportunities to learn something new.It is important that you must learn some basic chemistry skills for this will go a long way. These can include chemical equations, units, acid and base, and reactions. All these concepts are very important for chemis try and you will have to be taught all of them before you can start working with an actual teacher. The better you know what you need to know, the more you will be able to provide excellent tutoring.You will also need to make sure that you have the proper materials on hand, when it comes to lessons that involve the learning of new concepts. If there is a need for a student to come up with their own calculations, then you will have to have calculators and laboratory kits that can help you with this. You should also have the materials necessary for the demonstration, which is something that is very important to the tutors.While applying for this position, you will need to have access to a website. This is needed to give you the ability to collect all the necessary details on your application. The website must have a link to the online application, so that you will have a means of submitting your application to the teachers who have been approved.The online application form is simple a nd easy to fill out. It will ask you to give as much information as possible and if you have a little bit of knowledge about the subject, this will be easier for you to answer. Be sure to read all the questions carefully and understand the consequences of the answers you provide.Fill out the online application form as quickly as possible because there is no time for mistakes. If you fill out the application on time, it will help to save the teachers from having to go through your application again, so that they can do their own due diligence.

How To Hire The Best Tutors For Your Students

How To Hire The Best Tutors For Your StudentsThe reputation of tutoring companies in Boston has been hurt by the government and by people who try to use the federal grant money in order to cheat students. Many schools have been struggling because of this, so it's very important for them to make sure that they are hiring the right tutors for the right students. If you're an educator or a student yourself and would like to become part of a tutoring company, there are some things that you can do to ensure that you are providing the best quality of tutoring possible.There is a big difference between being a teacher and being a tutor. Teachers are supposed to set goals and teach the students how to achieve them. Tutors are supposed to help the students understand the concept of their objectives and have the ability to help the students get where they need to be. These two professions are very different, but sometimes we don't take the time to realize that they are so much alike.The bigges t problem with many students is that they are not willing to take on new tasks in order to succeed. They don't see the value in a class and just want to go home and relax. The more time that they spend with you, the more they'll learn and the more motivated they'll be to get better.One of the biggest causes of low grade point averages and even failing classes are when students start to drop out. It's a huge problem, because once they've dropped out, it's pretty hard to re-teach them. It's also hard to find a place to send them because they don't have a good grade point average.So when you're looking to start a tutoring company, you need to look for the best of the best tutors in the Boston area. Check the accreditation status of the tutoring company. The company should have been accredited by an accrediting agency and also should have a positive feedback from a previous client.You can also check if the tutoring is relevant to the area that you're working in. For example, if you're i n the medical field, you wouldn't want to hire someone to help you with your math problems. You want to hire someone who specializes in the health field, and you will probably need someone who has already had experience working with patients and understanding what they need to do.Finding new tutors in Boston can be quite challenging, but it is essential if you want to provide the best tutoring possible. Use these tips to make sure that you're providing your students with the best possible education possible.

What are Descriptive Statistics

What are Descriptive Statistics Analyse Data Like a Pro ChaptersThe Origin of StatisticsTypes of Statistical AnalysisTips and Tricks for Learning Applied StatisticsFrom collecting the perfect sample size to ensuring the integrity of your statistical interpretation, understanding all the components of statistics can be difficult to navigate. In a world where knowing and using statistics is becoming ever more relevant in policies, social movements and more, it can be helpful to learn or recap some of the basics. Here’s everything you need to know about descriptive statistics!Being able to accurately interpret data is an essential statistics skill AisvaryaData Analysis Teacher 5.00 (4) £25/h1st lesson free!Discover all our tutors AdeyemiData Analysis Teacher 5.00 (4) £25/h1st lesson free!Discover all our tutors AdenikeData Analysis Teacher 5.00 (4) £25/h1st lesson free!Discover all our tutors GokhanData Analysis Teacher 5.00 (4) £30/h1st lesson free!Discover all our tutors OlawaleData Analysis Teacher £12/h1st lesson free!Discover all our tutors ThanushanData Analysis Teacher 5.00 (4) £25/h1st lesson free!Discover all our tutors AisvaranData Analysis Teacher 5.00 (4) £25/h1st lesson free!Discover all our tutors Muhammad umairData Analysis Teacher 5.00 (2) £100/h1st lesson free!Discover all our tutorsThe Origin of StatisticsUsing bit data analysis and statistical methods to understand the world around us may seem like a 20th century invention. While the statistical inference that statisticians conduct in the present day are much more powerful with statistical software and programs, the work of the statistician is one of the oldest trades on the planet.While the intricacies of Bayesian statistics or understanding categorical data deserve a lengthier explanation in the context of the evolution of statistical data and analysis, you can get the basics by looking at the origin of statistics in a nutshell.While statistical inference intersects a plurality of other modern disciplines, such as biostatistics or business analytics, it started as a way to order or register the phenomena of early humans. Recording and analysing the movements or agriculture, astrology or commerce to improve sanitary, food and economic conditions were all ways our ancestors used inferential and descriptive statistics.Types of Statistical AnalysisAttempting to define a domain like mathematical statistics, whose uses are ubiquitous, can be like trying to find a needle in the dark - especially if that needle happens to be as headache inducing as probability theory. Here to alleviate the confusion behind all things probability and statistics is someone who initially detested anything having to do with statistical analysis.Admittedly, the jargon attached to statistical theory can get scary: ordinal and categorical data, sample data, population mean, percentile, Markov chain.Behind the complex terminology, however, are concepts that are actually quite simple at their base. If you’re studying statistics, you will li kely be taught Bayesian statistics, which uses a probability distribution in order to test a null hypothesis against an alternative hypothesis. In layperson’s terms, Bayesian statistics makes assumptions about raw data to construct hypotheses and then tests whether those hypotheses are likely or not for that given set of data. Before diving further into prediction analysis and common statistical techniques, it can be helpful to start with the common ways in which you can use data visualization to analyse qualitative and quantitative data.Descriptive StatisticsAnyone who’s had to produce a histogram, pie or bar chart for class or work â€" congratulations, you’ve participated in one of the most common ways data scientists conduct statistical analyses. Descriptive statistics are measures of central tendency and variance, which translates into measuring data by the average and how far away particular points are from that average. Measures of central tendency can include metrics li ke:       Sample mean       Median       ModeMeasures of variability, or dispersion, include things like:       Variances       Covariance       Standard deviationWhile this may sound like an overly simplified process, conducting exploratory analysis with descriptive statistics is an integral part of every study design. Before the mathematician or data scientists concerns themselves with multivariate linear regression or constructing a confidence interval with estimators, they have to know what their data contains.You can complete a statistical data analysis with just descriptive statistics and their visualizations. One of the most beautiful examples of this dates back to the 1850s, when Florence Nightingale produced her infamous “coxcomb” pie chart in order to extract vital information on mortality during the Crimean War. At a time when women in the field were virtually non-existent, Nightingale paved the way for innovative, under-represented groups in statistics.Se emingly similar statistics can have wildly different impacts on policyAnother important aspect of generating descriptive statistics is that many statistics or regression models necessitate certain assumptions in order for the them to be valid. While these assumptions vary from model to model, the most common requirement is that the data be normally distributed. A normal distribution is a probability curve that follows the central limit theorem. The majority of data normally doesn’t follow a normal distribution, which is why you’ll see many statisticians transform their dependent variables or independent variable.Using software like SPSS, R or excel â€" anyone can easily extract these metrics of central tendency and dispersion from the data. If the data is normally distributed, these metrics become extremely powerful. In finance, for example, the distribution of the data and the percentile under which certain prices or stocks fall under are used in order to understand the advanta ges or risks of potential trade deals.Common Descriptive Statistics ProblemsAs you’ve probably noticed by now, descriptive statistics is very distinct from the other main branch of statistics: inferential statistics. While inferential statistics uses the data to try to make predictions about the populations using statistical models, descriptive statistics merely describes what is actually in the data.Using descriptive statistics to analyse categorical and numerical, observational data is a type of statistical methodology that people utilize when they want to, for example:       Determine what percentage of their customers are young adults       Want to know what the distribution of grades in a university       Need to understand the effect size between two patient groups in a trialThis type of analysis, as opposed to regression analysis or ANOVA is typically called univariate analysis because it tends to analyse only one variable at a time.Descriptive Statistics ExampleWhile aspects of statistics like chi-square analysis, confidence intervals, or the correlation coefficient can be very enlightening â€" sometimes, all you need are descriptive statistics. Take the following numbers into account:       Mean: 30       Standard Deviation: 4Let’s say these numbers pertain to a set of data on your class’ test scores. You want to understand how the class performed but aren’t sure how to set up your experimental design. Assuming the data follow a normal distribution, we know that 68% of scores are within one standard deviation of the mean, 95% are within two standard deviations and 99% are within three.Without using statistical significance, randomization, or the least squares method, you are able to figure out that 95% of the class scored between 22 and 38 points where:       The lower bound: 30 â€" (2 * 4)       The upper bound: 30 + (2 * 4)Another statistical giant in the realm of descriptive analysis is correlation, which is a number that desc ribes the relationship between two variables. While you probably already know this, make sure that you fully understand the difference between correlation and causality. Correlation is a mathematical tool to understand how changes in one variable relates to changes in another, while causality is the notion that the changes in one variable causes changes in another.If you’ve ever heard a mathematician joke, then you’ll definitely appreciate the common example statisticians give when elucidating the correlation-does-not-equal-causality point. Take, for example, hand size and age. If you were to plot a sample of people from various ages, you would likely see a relationship where the bigger the hand size, the bigger the age as well. While there is clearly a correlation, or relationship, between hand size and age, there is unlikely to be any causality. If there were, this would mean that, were your hands to get smaller or disappear, you would either regress in age or die, respectivel y.Inferential StatisticsMoving onto the other main branch of statistics, inferential statistics is what people normally think of when they call up images of statistics. Relying on probability theory to create statistical models to draw inferences or calculate an estimator on one dependent variable or more, inferential statistics can be hard to define. However, the most important characteristics of inferential statistics can be boiled down to one sentence: the branch uses sample data on a population to make predictions outside that data set.Distributions and probability can be taught at a young ageTips and Tricks for Learning Applied StatisticsFrom binomial distributions and outliers to finding the perfect parametric test, understanding or remembering all of statistic’s components is an impossible feat. However, there are plenty of ways to either learn or improve your statistic skills.Getting Statistics Help OnlineUse the many websites online dedicated towards explaining statistica l concepts like a random variable or analysis of variance. Here are some of the best tutorial or troubleshooting guides online:Towards Data ScienceTutorials PointHow to Find a Tutor in StatisticsIf you prefer one-on-one help, make sure to check out Superprof’s community of over 140,000 maths teachers in the UK. From probability to regression, you can try a lesson for the average price of 10 pounds an hour! What are Descriptive Statistics Analyse Data Like a Pro ChaptersThe Origin of StatisticsTypes of Statistical AnalysisTips and Tricks for Learning Applied StatisticsFrom collecting the perfect sample size to ensuring the integrity of your statistical interpretation, understanding all the components of statistics can be difficult to navigate. In a world where knowing and using statistics is becoming ever more relevant in policies, social movements and more, it can be helpful to learn or recap some of the basics. Here’s everything you need to know about descriptive statistics!Being able to accurately interpret data is an essential statistics skill AisvaryaData Analysis Teacher 5.00 (4) £25/h1st lesson free!Discover all our tutors AdeyemiData Analysis Teacher 5.00 (4) £25/h1st lesson free!Discover all our tutors AdenikeData Analysis Teacher 5.00 (4) £25/h1st lesson free!Discover all our tutors ThanushanData Analysis Teacher 5.00 (4) £25/h1st lesson free!Discover all our tutors GokhanData Analysis Teacher 5.00 (4) £30/h1st lesson f ree!Discover all our tutors OlawaleData Analysis Teacher £12/h1st lesson free!Discover all our tutors AisvaranData Analysis Teacher 5.00 (4) £25/h1st lesson free!Discover all our tutors Muhammad umairData Analysis Teacher 5.00 (2) £100/h1st lesson free!Discover all our tutorsThe Origin of StatisticsUsing bit data analysis and statistical methods to understand the world around us may seem like a 20th century invention. While the statistical inference that statisticians conduct in the present day are much more powerful with statistical software and programs, the work of the statistician is one of the oldest trades on the planet.While the intricacies of Bayesian statistics or understanding categorical data deserve a lengthier explanation in the context of the evolution of statistical data and analysis, you can get the basics by looking at the origin of statistics in a nutshell.While statistical inference intersects a plurality of other modern disciplines, such as biostatistics or business analytics, it started as a way to order or register the phenomena of early humans. Recording and analysing the movements or agriculture, astrology or commerce to improve sanitary, food and economic conditions were all ways our ancestors used inferential and descriptive statistics.Types of Statistical AnalysisAttempting to define a domain like mathematical statistics, whose uses are ubiquitous, can be like trying to find a needle in the dark - especially if that needle happens to be as headache inducing as probability theory. Here to alleviate the confusion behind all things probability and statistics is someone who initially detested anything having to do with statistical analysis.Admittedly, the jargon attached to statistical theory can get scary: ordinal and categorical data, sample data, population mean, percentile, Markov chain.Behind the complex terminology, however, are concepts that are actually quite simple at their base. If you’re studying statistics, you will li kely be taught Bayesian statistics, which uses a probability distribution in order to test a null hypothesis against an alternative hypothesis. In layperson’s terms, Bayesian statistics makes assumptions about raw data to construct hypotheses and then tests whether those hypotheses are likely or not for that given set of data. Before diving further into prediction analysis and common statistical techniques, it can be helpful to start with the common ways in which you can use data visualization to analyse qualitative and quantitative data.Descriptive StatisticsAnyone who’s had to produce a histogram, pie or bar chart for class or work â€" congratulations, you’ve participated in one of the most common ways data scientists conduct statistical analyses. Descriptive statistics are measures of central tendency and variance, which translates into measuring data by the average and how far away particular points are from that average. Measures of central tendency can include metrics li ke:       Sample mean       Median       ModeMeasures of variability, or dispersion, include things like:       Variances       Covariance       Standard deviationWhile this may sound like an overly simplified process, conducting exploratory analysis with descriptive statistics is an integral part of every study design. Before the mathematician or data scientists concerns themselves with multivariate linear regression or constructing a confidence interval with estimators, they have to know what their data contains.You can complete a statistical data analysis with just descriptive statistics and their visualizations. One of the most beautiful examples of this dates back to the 1850s, when Florence Nightingale produced her infamous “coxcomb” pie chart in order to extract vital information on mortality during the Crimean War. At a time when women in the field were virtually non-existent, Nightingale paved the way for innovative, under-represented groups in statistics.Se emingly similar statistics can have wildly different impacts on policyAnother important aspect of generating descriptive statistics is that many statistics or regression models necessitate certain assumptions in order for the them to be valid. While these assumptions vary from model to model, the most common requirement is that the data be normally distributed. A normal distribution is a probability curve that follows the central limit theorem. The majority of data normally doesn’t follow a normal distribution, which is why you’ll see many statisticians transform their dependent variables or independent variable.Using software like SPSS, R or excel â€" anyone can easily extract these metrics of central tendency and dispersion from the data. If the data is normally distributed, these metrics become extremely powerful. In finance, for example, the distribution of the data and the percentile under which certain prices or stocks fall under are used in order to understand the advanta ges or risks of potential trade deals.Common Descriptive Statistics ProblemsAs you’ve probably noticed by now, descriptive statistics is very distinct from the other main branch of statistics: inferential statistics. While inferential statistics uses the data to try to make predictions about the populations using statistical models, descriptive statistics merely describes what is actually in the data.Using descriptive statistics to analyse categorical and numerical, observational data is a type of statistical methodology that people utilize when they want to, for example:       Determine what percentage of their customers are young adults       Want to know what the distribution of grades in a university       Need to understand the effect size between two patient groups in a trialThis type of analysis, as opposed to regression analysis or ANOVA is typically called univariate analysis because it tends to analyse only one variable at a time.Descriptive Statistics ExampleWhile aspects of statistics like chi-square analysis, confidence intervals, or the correlation coefficient can be very enlightening â€" sometimes, all you need are descriptive statistics. Take the following numbers into account:       Mean: 30       Standard Deviation: 4Let’s say these numbers pertain to a set of data on your class’ test scores. You want to understand how the class performed but aren’t sure how to set up your experimental design. Assuming the data follow a normal distribution, we know that 68% of scores are within one standard deviation of the mean, 95% are within two standard deviations and 99% are within three.Without using statistical significance, randomization, or the least squares method, you are able to figure out that 95% of the class scored between 22 and 38 points where:       The lower bound: 30 â€" (2 * 4)       The upper bound: 30 + (2 * 4)Another statistical giant in the realm of descriptive analysis is correlation, which is a number that desc ribes the relationship between two variables. While you probably already know this, make sure that you fully understand the difference between correlation and causality. Correlation is a mathematical tool to understand how changes in one variable relates to changes in another, while causality is the notion that the changes in one variable causes changes in another.If you’ve ever heard a mathematician joke, then you’ll definitely appreciate the common example statisticians give when elucidating the correlation-does-not-equal-causality point. Take, for example, hand size and age. If you were to plot a sample of people from various ages, you would likely see a relationship where the bigger the hand size, the bigger the age as well. While there is clearly a correlation, or relationship, between hand size and age, there is unlikely to be any causality. If there were, this would mean that, were your hands to get smaller or disappear, you would either regress in age or die, respectivel y.Inferential StatisticsMoving onto the other main branch of statistics, inferential statistics is what people normally think of when they call up images of statistics. Relying on probability theory to create statistical models to draw inferences or calculate an estimator on one dependent variable or more, inferential statistics can be hard to define. However, the most important characteristics of inferential statistics can be boiled down to one sentence: the branch uses sample data on a population to make predictions outside that data set.Distributions and probability can be taught at a young ageTips and Tricks for Learning Applied StatisticsFrom binomial distributions and outliers to finding the perfect parametric test, understanding or remembering all of statistic’s components is an impossible feat. However, there are plenty of ways to either learn or improve your statistic skills.Getting Statistics Help OnlineUse the many websites online dedicated towards explaining statistica l concepts like a random variable or analysis of variance. Here are some of the best tutorial or troubleshooting guides online:Towards Data ScienceTutorials PointHow to Find a Tutor in StatisticsIf you prefer one-on-one help, make sure to check out Superprof’s community of over 140,000 maths teachers in the UK. From probability to regression, you can try a lesson for the average price of 10 pounds an hour!