If you like, please find our e-Book here: datatab.net/statistics-book

00:02 Statistics deals with the collection, analysis, and presentation of data. 02:48 Descriptive and Inferential Statistics 08:08 Understanding the difference between standard deviation and variance 10:47 Contingency table helps analyze relationship between two categorical variables 16:01 Hypothesis testing and P value 18:28 Interpreting P-values and Types of Errors 23:16 Understanding levels of measurement is crucial for data analysis 25:43 Different levels of measurement in data science 30:37 Measurement of interval level and true zero point in statistics 33:08 Levels of measurement in statistics 38:24 Understanding the T Test in Data Science 40:52 T Test answers if study duration of men and women is significantly different 45:37 Determining if null hypothesis is rejected using critical T value 48:03 Interpreting t-test results for independent samples 53:03 Using ANOVA for analyzing differences between groups 55:27 Understanding null and alternative hypothesis in population mean comparison 1:00:31 Two-way Anova tests the effects of two independent variables on a dependent variable. 1:03:03 Two-way Anova can answer three main questions about the factors' impact on the dependent variable. 1:07:49 Conducting two-way ANOVA for testing the influence of drug type and gender on blood pressure reduction. 1:10:10 Variance in a Two-Way Analysis of Variance 1:15:12 Calculating F values for factor A, B, or interaction 1:17:40 Repeated measures Anova tests for significant differences in dependent samples 1:22:29 How to calculate and interpret analysis of variance with repeated measures 1:24:50 ANOVA with repeated measures and Bonferroni post hoc test 1:29:44 Calculating F value and P value in ANOVA analysis 1:32:13 Comparing cholesterol levels across different diets and time points 1:36:57 Testing assumptions in ANOVA 1:39:20 Understanding hypothesis testing in Data Science 1:44:12 Nonparametric tests have fewer assumptions than parametric tests 1:46:47 Using rankings for Spearman's correlation and conducting T tests for independent samples 1:51:41 Analytical tests for normal distribution involve several procedures and interpreting the P value 1:54:16 P value is influenced by sample size 1:59:27 Lavine's test is used to test assumptions for hypothesis tests. 2:02:08 Testing for Equality of Variances and Nonparametric Methods 2:07:00 Interpreting Mann-Whitney U test results 2:09:36 Calculating man with U test and P value calculation 2:14:39 Wilcoxon test compares ranks of dependent samples 2:17:13 Calculation of Wilcoxon Test for rank sums 2:22:26 The cral Wallis test is a non-parametric counterpart of the single factor analysis of variance 2:24:47 Usage and assumptions of Crosstab Volis Test 2:30:05 Friedman test for analyzing differences between dependent samples 2:32:34 Dependent samples in statistics 2:37:28 Performing nonparametric test for analyzing response time differences 2:40:08 Analyzing response time differences at different time points 2:45:17 Kai Square test measures relationship between variables 2:47:44 Understanding Chi-Square Test Results 00:00 Understanding correlation analysis 2:55:39 Understanding Pearson correlation coefficient 3:01:01 Understanding Pearson and Spearman correlations in Data Science 3:03:28 Explaining the calculation of Spearman correlation using ranks 3:08:43 Correlation coefficient analysis and testing 3:11:14 Calculating Pearson correlation for nominal variables 3:16:04 Causality vs Correlation 3:18:39 Negative correlation implies lower body temperature with more head lice and higher body temperature with fewer head lice. 3:23:44 Regression analysis is crucial for predicting outcomes based on various factors. 3:26:17 Logistic regression is used for categorical dependent variables like yes or no. 3:31:16 Linear regression models help estimate relationships between variables. 3:33:44 Understanding error in regression models like Epsilon 3:38:51 Understanding the correlation in linear regression 3:41:21 Understanding F test in data analysis 3:46:23 Check for linear relationship and normal distribution in regression model 3:48:45 Multicollinearity can lead to unstable regression models 3:53:49 Interpreting regression coefficient for gender 3:56:30 Creating dummy variables from categorical data 4:01:28 Logistic regression estimates the probability of occurrence of a particular characteristic 4:04:02 Logistic Regression ensures values between 0 and 1 for predictions 4:09:17 K-means clustering algorithm steps 4:11:45 Determining optimal number of clusters using elbow method

The world is still exists because of people like you. Thanks a ton for this lecture. God bless you.

Das ist ein ganz ganz tolles Video. Ich nehme gerade meinen ersten Statistik Kurs in Psych und war endlos verzweifels. Danke vielmals.

I just compelted less than 4 minutes of the entire 4 hours video and found that I'm already in love with the trainers explanation, classification of learning and the courage she gave before hand. I love this and will watch for the NeXT 2 years in my M.Sc (Applied Statistics). More comments on the fly. I love Statistics.

It is something very special that you have created to educate us. Absolutely Great Efforts. Thank you very much.

The best lectures on Statistics I have listened to ever. Your voice, pace, method and content is fantastic. Thank you so much! I will listen to your lectures more than once. So much to learn in a pleasant and enjoyable way.

I think you have saved my project. I cannot thank you enough! Keep going with the video!

you are one of the best teacher on internet

Right now I'm at the reading 15 minutes and 41 seconds. The trainer is saying about Hypothesis Tests and Various types of Hypothesis tests. I love this video.

A comprehensive and clear concepts illustrated teaching video of statistics. Thank you so much for producing it.

It helps a lot! Thanks!! we may come from different countries, speak different languages, not knowing each others, but what you have been doing means that humanity is still exist. Love from Indonesia!! You make another friend from Indonesia🤝

I love your simple presentations!

A heart felt thank you from Ethiopia!

Thanks for the enlightenment, one of the best video on statistics so far

You have produced something truly unique in order to teach us. Absolutely Great Efforts. Many thanks for it.

The lecture was really very organized, and it even seemed that every single item of information had been put in place with great thought. What's more, the high level of engagement has captured viewers by making difficult concepts easily apprehensible, thus encouraging active participation. Thank You!

Outstanding work! Absolutely to-the-point and simple to understand. Grateful!

Thanks for your videos. It’s a cool intro with your voice and presentation clear and well explanation ❤

Explanation of regression is absolutely amazing. Thanks 😊

Splendid, I'll save this video in my playlist and share it with friends. My plan 30 mins per day till I digest and understand all statistics ❤❤

I needed this for my PhD thesis. Thank you. I need to abdorb incrementally 😊

Very simple and excited video. Thanks alot 😊😊

Well explained the essentials of the concepts and principles of statistics and related subjects. Thanks for posting this important and informative lesson!

Thank you so much for making it so simple and digestible! Really liked it!

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I like the way you explaining. you are far more better than my National Institute of Technology, Trichy professors. thanks you for this video.👍

At last, a clear and simple tutorial. Thank you very much

Thank you very much for your work!!!❤️

This is precious. Tks a lot

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thank you tonsssssssssssssssssss. God bless You, for explaining so simply - with animations.

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This is really a good tutorial into the subject

Thank you so much for this lecture

Thank you so much for this 🙏 very very grateful

Thanks for the incredible works!

Great tutorial! Very well explianed!

Not gonna lie, just trying to refresh some stuff and ive been on ur channels all afternoon! take my upvote

Thank you from the bottom of my heart!

Thank you so much for this video

Thank You! This is a great help for board exam preparation for psychometrician!, so, helpful❤

I am preparing for CHDA (Certified Health Data Analyst) certification and I found this is most useful for me to prepare for the exam. Thank you so much! It was we presented and explained very well.

Thank you very much for such a great tutorial. Complex topics very easily explained❤❤

Outstanding, many thanks!

I am greatful to this good and elaborate explanation of statistics. This is Gem in my oncoming research work analysis for my MSc. Immunology. Thank you mum.

I am a statistics student, and I learned a lot of info thinks ❤❤

Really Don’t know How to Thank You❤❤.But You have Opened my eyes in a very meaningful way.Never the statistics was so much fun for me.I was always struggling in Data analysis.

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Thank you so much.

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Great video 👍🏻

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thank you for this

You teach better than my professors at my university

Very thankful

Hi DATAtab your explanation is good & Nice.

Excellent .

Awesome, it's totally usefull. Thanks a bunch Miss

Thank you for this tutorial

Thank you so much for this!! Super helpful. Love from India❤

Hello, Dear, I joined your channel recently and your videos are helpful for statistics. I love your brief description with great examples and clear explanations. But now I want to ask one question and I hope, you will clarify it. The question is "What is the difference between multivariable and multivariate analysis".

Brilliant as usual ❤

The lecture was certainly very valuable and excellent, but the presentation was amazing. Can you tell me about the program used in this presentation work?

This is wonderful thanks, I'm going to enjoy in half hour chunks also - I'm a physics teacher but I am enjoying being reminded about this content. By the way what do you use for your graphics they are super? I would like to do a similar thing for making physics revision videos for my students.

U are awesome in teaching and in ur attitude 😊😊

Thank you...just bought the book.

well done !

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The lecture is very helpful in all aspects. Thank you.

Informative videos

This is too good to be true!

Wow....4 hours video and for the first time the German accent doesn't scare me

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epic video, I will be binch watching soon 🙂

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I am trying to get into data science with R programming and I found your video so far great and highly informative. Do you have a future plan to make videos about data science in detail such as probability, machine learning, data visualization and etc thanks. I'm Yehualashet from Ethiopia.

You are great thanks

This lecture clearly is for non mathematicians. In the last century I learned all this in school, but even with mathematical proofs which were all left out here.

Wow..... This is pretty deep dive.

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Can you bring Probability course also that will include from basic to advanced ❤???

DESCRIPTIVE AND INFERENTIAL STATS EXPLAINED IN FULL

You should do one course for how to use Stats in Finance & specially in understanding markets.

Thank you for making stats this simple, how can I perform Fisher exact test using this software.

Thank you so much

The hypothesis testing and confidence intervals that we estimate from a sample and generalize to a population is an inductive process. However, the internal procedure of these statistical processes is deductive, as we make several assumptions and then deduce our conclusions, right?

Ого, невероятно понятно, спасибо

روعه 😮❤❤