Introduction to Statistics
5.0
(1)
20 learners
What you'll learn
This course includes
- 14.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 63 lessons • 14.5 hours of video
Introduction to Statistics
63 lessons
• 14.5 hours
Introduction to Statistics
63 lessons
• 14.5 hours
- IntroStats 1.1 - Introduction and Overview of Statistics 14:22
- IntroStats 1.2 - Data Types and Levels of Measurement 16:05
- IntroStats 2.1 - Frequency Tables 15:08
- IntroStats 2.2 - Frequency and Relative Frequency Tables 12:59
- IntroStats 2.3 - Histograms and Relative Frequency Histograms 14:44
- IntroStats 2.4 - Cumulative Frequency Tables, Ogives, Bar Charts 12:09
- IntroStats 2.5 - Pie Chart, Time Series, and Stem and Leaf Plots 10:21
- IntroStats 3.1 - Measures of Central Tendency: Mode, Median, Mean 16:22
- IntroStats 3.2 - Measures of Variation: Range, Standard Deviation, and Variance 16:55
- IntroStats 3.3 - Introduce the Coefficient of Variation (CV) and an example 10:48
- IntroStats 3.4 - Chebyshev's Theorem 11:32
- IntroStats 3.5 - Percentile, quartiles and 5 number summary 09:49
- IntroStats 3.6 - Boxplots (Box & Whisker Plots): Create & Interpret 10:21
- IntroStats 4.1: Scatter Diagrams and Correlation coefficient: general concepts 15:02
- IntroStats 4.2: Calculation of Correlation Coefficient 18:17
- IntroStats 4.3 - Correlation Examples 12:26
- IntroStats 4.4 - Linear Regression 13:06
- IntroStats 4.5 - Linear Regression con'd 13:00
- IntroStats 5.1 - Basic Probability 11:16
- IntroStats 5.2 - Tree Diagram Example 15:58
- IntroStats 5.3 - Sampling with Replacement; Independent & Dependent Events 15:16
- IntroStats 5.4 - Conditional Probability & Multiplication Rule 15:28
- IntroStats 5.5 - Probability Calculations & Polygraph example 20:55
- IntroStats 5.6 - Addition Rule 26:44
- IntroStats 5.7 - Permutations and Combinations 23:12
- IntroStats 6.1a - Discrete Probability Distributions Part 1 11:40
- IntroStats 6.1b - Discrete Probability Distributions Part 2 13:50
- IntroStats 7.1 - Normal Distribution 11:29
- IntroStats 7.2a - Standard Normal Distribution 13:44
- IntroStats 7.2b - Standard Normal Distribution 12:20
- IntroStats 7.2c - Standard Normal Distribution 12:46
- IntroStats 7.2d - Standard Normal Distribution 09:50
- IntroStats 7.2e - Standard Normal Distribution 08:39
- Introductory Statistics L24 Part c Section 7.3 Part 6 Finding two raw scores if given a probability 21:07
- Introductory Statistics L26 Part c Section 7.5 Part 5 CLT Examples 23:09
- Introductory Statistics Lecture 26.5a Section 7.6 Part 1 The Normal Approximation to the Binomial 15:23
- Introductory Statistics Lecture 26.5b Section 7.6 Part 2 The Normal Approximation to the Binomial 12:49
- Introductory Statistics Lecture 26.5c Section 7.6 Part 3 The Normal Approximation to the Binomial 04:01
- Introductory Statistics L27a Sect 8.1 Part 1 Confidence Intervals for the mean when sigma is known 13:55
- Introductory Statistics Section 8.1 Part a Rev. 1 Confidence Interval for mu when sigma known Part 1 20:42
- Introductory Statistics L27b Sect. 8.1 Part 2 Confidence Intervals for the Mean when Sigma is Known 15:05
- Introductory Statistics Section 8.1 Part b Rev. 1 CI for mu when sigma is known Part 2 10:54
- Introductory Statistics L27c Section 8.1 Part 3 CI's for the Mean when Sigma is Known 13:51
- Introductory Statistics L28a Section 8.1 Part 4 CI's for the Mean when Sigma is Known 09:29
- Introductory Statistics L28 Part b Section 8.1 Part 5 CI's for the Mean When Sigma is Known 08:44
- Introductory Statistics L28 Part c Section 8.1 Part 6 CI's for the Mean when Sigma is Known 09:33
- Introductory Statistics L29 Part a Section 8.1 Part 7 Sample Size Determination 09:17
- Introductory Statistics L29 Part b Section 8.1 Part 8 Sample Size Determination Continued 10:09
- Introductory Statistics Section 8.1 Part c Rev. 1 Calculate Sample Size Part 3 13:08
- Introductory Statistics L30a Section 8.2 Part 1 Confidence Interval for Mean when Sigma is Unknown 12:06
- Introductory Statistics L31 Section 8.2 Part 2 CI for Mean when Sigma Unknown 18:08
- Introductory Statistics L32 Part a Section 8.2 Part 3 CI for Mean when Sigma Unknown 11:49
- Introductory Statistics L32 Part b Section 8.2 Part 4 CI for Mean when Sigma is Unknown 07:26
- Introductory Statistics L33 Section 9.1 Part 1 Hypothesis Tests 14:17
- Introductory Statistics L34 Section 9.1 Part 2 Hypothesis Test for Mean when Sigma is Known 16:15
- Introductory Statistics L35 Section 9.1 Part 3 Hypothesis Tests for Mean when Sigma is Known 13:26
- Introductory Statistics L36 Section 9.2 Part 1 Hypothesis Test for the Mean when Sigma is not Known 14:54
- Introductory Statistics L37 Sect 9.2 Part 2: Hypothesis Tests for the Mean when Sigma is Not Known 15:33
- Introductory Statistics L38 Sect. 9.2 Part 3 Review: Hypothesis Test for Mean when Sigma is Unknown 12:37
- Introductory Statistics L39 Section 9.2 Part 4 Hypothesis Tests for Mean When Sigma is Unknown 16:35
- Introductory Statistics L40 Section 9.2 Part 5 Hypothesis Tests for the Mean when Sigma is NOT known 16:37
- Introductory Statistics L41 Section 9.2 Part 6 Hypothesis Tests for Mean when Sigma is Not Known 14:12
- Introductory Statistics L42 Section 9.2 Part 7 Hypothesis Tests for the Mean when Sigma is Not Known 14:32
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