*MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.*

#### Class Deals by MOOC List - Click here and see Udacity's Active Discounts, Deals, and Promo Codes.

*MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.*

NOTE: This course has been divided into two courses: Descriptive and Inferential Statistics. If you are new to statistics, we recommend taking these courses instead.

### What You Will Learn

**LESSON 1**

Introduction to Statistics and Methods

- Intro to statistical research methods

- Frequency Distributions & Visualizing data

**LESSON 2**

Describing Data

- Central Tendency

- Variability

**LESSON 3**

Normal Distribution Analysis

- Standardized Scores (z-scores)

- Probability and the Normal Distribution

- Sampling Distributions

**LESSON 4**

Foundations of Inferential Statistics

- Estimation

- Hypothesis Testing

**LESSON 5**

Comparing Means

- t-tests

- One-way ANOVA

**LESSON 6**

Correlation, Regression, and Non-Parametrics

- Correlation

- Regression

- Chi-Squared Tests

**Prerequisites and Requirements**

It sounds strange to say, but math is not the focus of this class. To do well, however, it is necessary to have a basic understanding of proportions (fractions, decimals, and percentages), negative numbers, basic algebra (solving equations), and exponents and square roots.

**Why Take This Course**

- The applications of statistics to everyday life

- Methods for acquiring data through observation and experimentation

- To organize and describe quantitative and categorical forms of data

- Anticipating patterns using basic probability and sampling

- Statistical inference through estimation and hypothesis testing

- Correlation and simple regression

- Ways of describing the strength of relationships between variables

*MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.*