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Course Introduction Video

Course Syllabus

MA121: Introduction to Statistics

Course Introduction

Course Introduction Video

Course Syllabus

Unit 1: Statistics and Data

1.1: The Science of Statistics

1.2: Descriptive and Inferential Statistics

1.3: Types of Data and Their Collection

1.4: Graphical Methods for Describing Data

1.5: Measures of Central Tendency and Variability

1.6: Methods for Describing Relative Standing

1.7: Methods for Describing Bivariate Relationships

Unit 1 Assessment

Unit 2: Elements of Probability and Random Variables

2.1: Events, Sample Spaces, and Probability

2.2: Counting Rules

2.3: Common Discrete Random Variables

2.4: Normal Distribution

Unit 2 Assessment

Unit 3: Sampling Distributions

3.1: Sampling Distributions

3.2: The Sampling Distribution of Sample Mean

3.3: The Sampling Distribution of Pearson's r

3.4: The Sampling Distribution of the Sample Proportion

Unit 3 Assessment

Unit 4: Estimation with Confidence Intervals

4.1: Point Estimators and Their Characteristics

4.2: Confidence Intervals

4.3: Confidence Intervals for Correlation and Proportion

Unit 4 Assessment

Unit 5: Hypothesis Test

5.1: Setting Up Hypotheses

5.2: Interpreting Hypothesis Testing Results

5.3: Hypothesis Testing and Confidence Intervals

5.4: Testing Single Mean

5.5: Testing the Difference between Two Means

5.6: Chi-Square Distribution

5.7: Comparing the Proportions of Populations

Unit 5 Assessment

Unit 6: Linear Regression

6.1: Scatter Plot of Two Variables and Regression Line

6.2: Correlation Coefficient

6.3: Sums of Squares

6.4: Fitting the Model

6.5: Influential Observations

6.6: ANOVA

Unit 6 Assessment

Study Guide

Certificate Final Exam

Course Feedback Survey

Quizzes