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 Statistics13:21
- Statistics - 1.2 Classifying Data14:50
- Statistics - 1.3.1 Introduction to Statistical Studies08:29
- Statistics - 1.3.3 Experiments12:25
- Statistics - 1.3.2 Observational Studies12:47
- Statistics - 1.4 Critiquing a Published Study06:00
- Statistics - 2.1 Frequency Distributions19:33
- Statistics - 2.2.1 Displaying Qualitative Data09:55
- Statistics - 2.2.2 Displaying Quantitative Data13:30
- Statistics - 2.3 Analyzing Graphs06:28
- Statistics - 3.1 Measures of Center20:05
- Statistics - 3.2.1 Measures of Spread or Dispersion16:13
- Statistics - 3.2.2 Empirical Rule and Chebyshev's Theorem10:43
- Statistics - 3.3.1 Measures of Relative Position16:02
- Statistics - 3.3.2 Box Plots and the 5-Number Summary13:05
- Statistics - 3.3.3 Intro to Z-Scores12:17
- Statistics - 4.1 Intro to Probability20:07
- Statistics - 4.2 Addition Rule for Probability20:33
- Statistics - 4.3 Multiplication Rule for Probability16:08
- Statistics - 4.4 Permutations and Combinations19:28
- Statistics - 4.5 Probability and Counting Practice21:06
- Statistics - 5.1.1 Expected Value of Discrete Probability Distributions16:38
- Statistics - 5.1.2 Variance and Standard Deviation of Discrete Probability Distributions05:38
- Statistics - 5.2 The Binomial Distribution22:13
- Statistics - 5.3 The Poisson Distribution12:18
- Statistics - 5.4.1 The Hypergeometric Distribution12:18
- Statistics - 5.4.2 Binomial, Poisson or Hypergeometric?06:10
- Statistics - 6.1 The Normal Distribution and Z-Scores11:54
- Statistics - 6.2 Area Under a Normal Distribution19:53
- Statistics - 6.3 Probabilities in a Normal Distribution18:23
- Statistics - 6.4 Z-Scores in Reverse16:47
- Statistics - 6.5 Approximating a Binomial Distribution With a Normal Distribution18:15
- Statistics - 7.1 The Central Limit Theorem09:30
- Statistics - 7.2 The Central Limit Theorem with Means25:16
- Statistics - 7.3 The Central Limit Theorem with Proportions15:10
- Statistics - 8.1.1 An Introduction to Confidence Intervals08:46
- Statistics - 8.1.2 Estimating Population Means (𝜎 known)19:39
- Statistics - 8.1.3 Calculations With Estimating Population Means - 𝜎 known08:20
- Statistics - 8.2 Student's t-Distribution13:18
- Statistics - 8.3 Estimating Population Means (𝜎 Unknown)15:01
- Statistics - 8.4.1 Estimating Population Proportions11:40
- Statistics - 8.4.2 Calculations With Estimating Population Proportions09:00
- 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 Proportions09:50
- Statistics - 10.1.1 Introduction to Hypothesis Testing19:55
- Statistics - 10.1.2 Writing Hypotheses07:17
- Statistics - 10.1.3 Interpreting Conclusions to Hypothesis Tests05:05
- Statistics - 10.1.4 Errors in Hypothesis Testing07:57
- Statistics - 10.2.1 Hypothesis Testing for Population Means (σ known) - Right-Tailed20:05
- Statistics - 10.2.2 Hypothesis Testing for Population Means (σ known) - Left-Tailed08:33
- Statistics - 10.2.3 Hypothesis Testing for Population Means (σ known) - 2-Tailed13:00
- Statistics - 10.3.1 Hypothesis Testing for Population Means (σ unknown) - 1-Tailed20:56
- Statistics - 10.3.2 Hypothesis Testing for Population Means (σ unknown) - 2-Tailed09:03
- Statistics - 10.4.1 Hypothesis Testing for Population Proportions - 1-Tailed17:21
- Statistics - 10.4.2 Hypothesis Testing for Population Proportions - 2-Tailed09:11
- Statistics - 11.1.1 Hypothesis Testing for 2 Sample Means (σ known) - 1-Tailed22:31
- Statistics - 11.1.2 Hypothesis Testing for 2 Sample Means (σ known) - 2-Tailed08:46
- Statistics - 11.2.1 Hypothesis Testing for 2 Sample Means (σ unknown) - Unequal Variances12:34
- Statistics - 11.2.2 Hypothesis Testing for 2 Sample Means (σ unknown) - Equal Variances13:50
- Statistics - 11.3 Hypothesis Testing for 2 Sample Means - Paired15:41
- Statistics - 11.4 Hypothesis Testing for 2 Sample Proportions23:54
- Statistics - 12.1.1 Scatter Plots and Correlation19:06
- Statistics - 12.1.2 Determining Statistical Significance for the Pearson Correlation Coefficient16:58
- Statistics - 12.2.1 The Least Squares Regression Line (LSRL)11:01
- Statistics - 12.2.2 Predicting With and Interpreting Values of the LSRL09:39
- Statistics - 12.2.3 Creating and Analyzing a Linear Regression Model05:29
- Statistics - 12.3.1 Prediction Intervals for Linear Regression16:00
- Statistics - 12.3.2 Confidence Intervals for 𝛽0 and 𝛽105:09
- Statistics - 12.4 Multiple Regression09:39
