Applied Statistics (Entire Course)
4.0
(3)
21 learners
What you'll learn
This course includes
- 16.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 72 lessons • 16.5 hours of video
Applied Statistics (Entire Course)
72 lessons
• 16.5 hours
Applied Statistics (Entire Course)
72 lessons
• 16.5 hours
- Statistics - 1.1 Intro to Statistics 13:21
- Statistics - 1.2 Classifying Data 14:50
- Statistics - 1.3.1 Introduction to Statistical Studies 08:29
- Statistics - 1.3.3 Experiments 12:25
- Statistics - 1.3.2 Observational Studies 12:47
- Statistics - 1.4 Critiquing a Published Study 06:00
- Statistics - 2.1 Frequency Distributions 19:33
- Statistics - 2.2.1 Displaying Qualitative Data 09:55
- Statistics - 2.2.2 Displaying Quantitative Data 13:30
- Statistics - 2.3 Analyzing Graphs 06:28
- Statistics - 3.1 Measures of Center 20:05
- Statistics - 3.2.1 Measures of Spread or Dispersion 16:13
- Statistics - 3.2.2 Empirical Rule and Chebyshev's Theorem 10:43
- Statistics - 3.3.1 Measures of Relative Position 16:02
- Statistics - 3.3.2 Box Plots and the 5-Number Summary 13:05
- Statistics - 3.3.3 Intro to Z-Scores 12:17
- Statistics - 4.1 Intro to Probability 20:07
- Statistics - 4.2 Addition Rule for Probability 20:33
- Statistics - 4.3 Multiplication Rule for Probability 16:08
- Statistics - 4.4 Permutations and Combinations 19:28
- Statistics - 4.5 Probability and Counting Practice 21:06
- Statistics - 5.1.1 Expected Value of Discrete Probability Distributions 16:38
- Statistics - 5.1.2 Variance and Standard Deviation of Discrete Probability Distributions 05:38
- Statistics - 5.2 The Binomial Distribution 22:13
- Statistics - 5.3 The Poisson Distribution 12:18
- Statistics - 5.4.1 The Hypergeometric Distribution 12:18
- Statistics - 5.4.2 Binomial, Poisson or Hypergeometric? 06:10
- Statistics - 6.1 The Normal Distribution and Z-Scores 11:54
- Statistics - 6.2 Area Under a Normal Distribution 19:53
- Statistics - 6.3 Probabilities in a Normal Distribution 18:23
- Statistics - 6.4 Z-Scores in Reverse 16:47
- Statistics - 6.5 Approximating a Binomial Distribution With a Normal Distribution 18:15
- Statistics - 7.1 The Central Limit Theorem 09:30
- Statistics - 7.2 The Central Limit Theorem with Means 25:16
- Statistics - 7.3 The Central Limit Theorem with Proportions 15:10
- Statistics - 8.1.1 An Introduction to Confidence Intervals 08:46
- Statistics - 8.1.2 Estimating Population Means (𝜎 known) 19:39
- Statistics - 8.1.3 Calculations With Estimating Population Means - 𝜎 known 08:20
- Statistics - 8.2 Student's t-Distribution 13:18
- Statistics - 8.3 Estimating Population Means (𝜎 Unknown) 15:01
- Statistics - 8.4.1 Estimating Population Proportions 11:40
- Statistics - 8.4.2 Calculations With Estimating Population Proportions 09:00
- Statistics - 9.1 Comparing Two Population Means (𝜎 Known) 19:45
- Statistics - 9.2.1 Comparing Two Population Means (𝜎 Unknown, Unequal Variances) 14:37
- Statistics - 9.2.2 Comparing Two Population Means (𝜎 Unknown, Equal Variances) 13:37
- Statistics - 9.3 Comparing Two Population Means (𝜎 Unknown, Dependent/Paired) 12:10
- Statistics - 9.4 Comparing Two Population Proportions 09:50
- Statistics - 10.1.1 Introduction to Hypothesis Testing 19:55
- Statistics - 10.1.2 Writing Hypotheses 07:17
- Statistics - 10.1.3 Interpreting Conclusions to Hypothesis Tests 05:05
- Statistics - 10.1.4 Errors in Hypothesis Testing 07:57
- Statistics - 10.2.1 Hypothesis Testing for Population Means (σ known) - Right-Tailed 20:05
- Statistics - 10.2.2 Hypothesis Testing for Population Means (σ known) - Left-Tailed 08:33
- Statistics - 10.2.3 Hypothesis Testing for Population Means (σ known) - 2-Tailed 13:00
- Statistics - 10.3.1 Hypothesis Testing for Population Means (σ unknown) - 1-Tailed 20:56
- Statistics - 10.3.2 Hypothesis Testing for Population Means (σ unknown) - 2-Tailed 09:03
- Statistics - 10.4.1 Hypothesis Testing for Population Proportions - 1-Tailed 17:21
- Statistics - 10.4.2 Hypothesis Testing for Population Proportions - 2-Tailed 09:11
- Statistics - 11.1.1 Hypothesis Testing for 2 Sample Means (σ known) - 1-Tailed 22:31
- Statistics - 11.1.2 Hypothesis Testing for 2 Sample Means (σ known) - 2-Tailed 08:46
- Statistics - 11.2.1 Hypothesis Testing for 2 Sample Means (σ unknown) - Unequal Variances 12:34
- Statistics - 11.2.2 Hypothesis Testing for 2 Sample Means (σ unknown) - Equal Variances 13:50
- Statistics - 11.3 Hypothesis Testing for 2 Sample Means - Paired 15:41
- Statistics - 11.4 Hypothesis Testing for 2 Sample Proportions 23:54
- Statistics - 12.1.1 Scatter Plots and Correlation 19:06
- Statistics - 12.1.2 Determining Statistical Significance for the Pearson Correlation Coefficient 16:58
- Statistics - 12.2.1 The Least Squares Regression Line (LSRL) 11:01
- Statistics - 12.2.2 Predicting With and Interpreting Values of the LSRL 09:39
- Statistics - 12.2.3 Creating and Analyzing a Linear Regression Model 05:29
- Statistics - 12.3.1 Prediction Intervals for Linear Regression 16:00
- Statistics - 12.3.2 Confidence Intervals for 𝛽0 and 𝛽1 05:09
- Statistics - 12.4 Multiple Regression 09:39
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