Stats 101
73 videos • 28,818 views • by Equitable Equations
Your first college-level statistics course, all in tasty bite-size pieces.
1
Population, Sample, Parameter, Statistic
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2
Types of Data
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3
Tidy data
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4
Experiments and Observational Studies
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5
Introduction to Statistical Sampling
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6
Bias and Variability in Statistics
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7
Constructing Frequency Distributions
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8
Histograms, Frequency Polygons, and Ogives
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9
Your First RStudio Session
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10
Data visualization with R in 36 minutes
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11
Stem-and-Leaf Plots
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12
Stem-and-Leaf Plots in R
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13
Describing Data Qualitatively
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14
Understanding Mean, Median, and Mode
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15
Sample Variance and Standard Deviation
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16
Percentiles and Quantiles in R
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17
Z-Scores
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18
The Five-Number Summary and the 1.5 x IQR Test for Outliers
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19
Boxplots
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20
Probability Experiments, Outcomes, Events, and Samples Spaces
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21
The Addition Rule for Probabilities
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22
Factorials, Permutations, and Combinations
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23
Conditional Probability and the Multiplication Rule
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24
An Introduction to Random Variables
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25
Working with Discrete Random Variables
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26
Discrete random variables: mean, sd, and variance
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27
Bernoulli Trials and The Binomial Distribution
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28
Binomial Calculations in R
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29
The Uniform Distribution
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30
Continuous Random Variables
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31
The Normal Distribution
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32
The Standard Normal Distribution
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33
Computing normal probabilities: examples
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34
Inverse Normal Calculations
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35
Inverse Normal Calculations Using R
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36
Sampling Distributions
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37
The central limit theorem
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38
Calculating Probabilities Using the Central Limit Theorem: Examples
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39
Introducing Confidence Intervals
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40
Confidence Intervals for the Mean - Example
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41
Confidence Intervals and Sample Size
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42
Confidence Intervals and the Central Limit Theorem
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43
Confidence Intervals Using the t-Distribution
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44
Using R to Calculate in the t-Distribution
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45
Confidence Intervals in R
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46
Confidence Intervals for Proportions
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47
Confidence Intervals for Proportions: Examples
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48
Introduction to Hypothesis Testing
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49
Statistical Significance
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50
Hypothesis Testing: One- and Two-Sided Alternatives
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51
Hypothesis Testing: Example
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52
Type I and Type II Errors in Significance Tests
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53
Hypothesis testing using critical regions
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54
Hypothesis Testing with the t-Distribution
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55
Significance Testing with the t-Distribution: Example
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56
Hypothesis testing in R
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57
Hypothesis Testing for Proportions
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58
Hypothesis Testing for Proportions: Example
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59
Introduction to Scatterplots
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60
Scatterplots and Correlation
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61
Introduction to Linear Regression
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62
Using Regression Lines to Make Predictions
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63
Simple linear regression in R
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64
Outliers: Leverage, Discrepancy, and Influence
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65
R^2: the Coefficient of Determination
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66
Understanding the chi-squared distribution
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67
Chi-Squared Calculations in R
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68
Goodness-of-Fit Testing
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69
Chi-Squared Goodness-of-Fit Testing in R
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70
Chi-Squared Testing for Independence in R
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71
Goodness of fit testing with R: example
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72
Simpson's paradox
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73
ANOVA in R
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