Match the Functions

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Sección 5. Capítulo 7

Learning Statistics with Python

1. Basic Concepts

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

This section will help us deal with the first real statistical case: finding confidence intervals. It requires knowledge of NumPy, pandas, Matplotlib, and Seaborn library to calculate math formulas and build visualization! To encourage you to pass this section, I want to point out that you will run across a small amount of theory but a significant amount of practice!

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

An inseparable part of a data analyst's life is conducting hypothesis testing. After completing this section, you will understand the idea behind testing in statistics and will be able to conduct a t-test using Python.

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