Learning Statistics with Python

Course Content

Learning Statistics with Python

Learning Statistics with Python

1. Basic Concepts

Sample vs Population Types of Statistics Types of Data Mean Value Median Value Median Value of the Even Number of Values Mean or Median Mode Value Descriptive Statistics Quiz

2. Mean, Median and Mode with Python

Examine the Dataset Calculating Mean and Median Values with Python Statistics with pandas Calculate the Mean and Median Salary

3. Variance and Standard Deviation

Population Variance Sample Variance Calculate Variance with Python Standard Deviation Standard Deviation with Python Calculating Variance and Standard Deviation

4. Covariance vs Correlation

Covariance Correlation Covariance and Correlation Quiz Calculate Covariance and Correlation

5. Confidence Interval

Explore the Data Set Confidence Interval Calculating Confidence Interval with Python Confidence Interval Width Quiz Calculate 95% Confidence Interval Advanced Confidence Interval Calculation with Python Match the Functions

6. Statistical Testing

What is t-test Hypotheses t-test Mathematically One-Tailed And Two-Tailed Test t-test Assumptions Performing a t-test in Python Conduct a t-test Paired t-test

Types of Data

With the basics covered, it's time to explore the different data categories used in statistics and how they guide analysis.

Now consider a sample of people described by two variables:

Number of teeth;
Height.

The number of teeth is considered a discrete variable because teeth are counted in whole numbers, and you cannot have a fractional or decimal part of a tooth. Each individual has a specific, countable number of teeth, and the count is a distinct and separate value.

In contrast, height is considered a continuous variable because it can take on any value within a certain range, and there is an infinite number of values in the interval between any two values of heights.

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Section 1. Chapter 3

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