Statistics Course: An Overview of what is covered in our Statistics Video Tutorials! Complete Statistics Course: 👍🏼 Best Statistics with R Programming Language Videos:
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▶︎ Here we present an overview of the topics covered in most Intro Statistics courses and explain how they all these statistical concepts are connected.
▶︎ In our statistic course video tutorials we will present all of the ideas that were overviewed in this video, in more detail. we go through multiple examples and explain concepts step by step.
Topics covered include: Standard Deviation, Normal Distribution, Standard Error of the Mean, Confidence Interval, Hypothesis Testing, t-Distribution, Margin of Error, Bootstrapping and Resampling, Type I and Type II Errors in Hypothesis Testing, Bivariate Analysis, Paired t-Test, Wilcoxon Signed-Rank Test, ANOVA, Chi Square Test, Risk Ratio and Odds Ratio, Simple Linear Regression, R Squared, Permutation Tests and more, all with examples.
▶︎ The goal is to paint a big picture of the general concepts in this introductory statistics course, and how they all tie together, without getting bogged down in the details.
► ► Watch More:
► Statistics Course (Complete Series):
►Data Science with R(Complete Series):
►Getting Started with R (Series 1):
►Graphs and Descriptive Statistics in R (Series 2):
►Probability distributions in R (Series 3):
►Bivariate analysis in R (Series 4):
►Linear Regression in R (Series 5):
►ANOVA Concept and with R
►Hypothesis Testing:
►Linear Regression Concept and with R Lectures
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Our Team:
Content Creator: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC.
Producer and Creative Manager: Ladan Hamadani (B.Sc., BA., MPH)
These videos are created by #marinstatslectures to support some statistics courses at The University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials for Health Science Research), although we make all videos available to the everyone everywhere for free.
Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn!
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