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

Advanced Confidence Interval Calculation with Python

If we are working with a small distribution (size less than or equal to 30) that approximates the normal distribution, we will use t-statistics.

How to calculate the confidence interval?

We use the t.interval() function from scipy.stats for the Student's T distribution.
As mentioned earlier, alpha represents the confidence level.
df stands for the number of degrees of freedom.
loc represents the mean.
sem represents the standard error of the sample.

Degrees of Freedom

Degrees of freedom are the number of independent information elements used to estimate a parameter.

The formula for degrees of freedom is N - 1, where N is the sample size.

Feel free to adjust the alpha parameter and observe the resulting changes.

¿Todo estuvo claro?

Sección 5. Capítulo 6

Contenido del Curso

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 Select All Possible Values 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

Learning Statistics with Python

Advanced Confidence Interval Calculation with Python

If we are working with a small distribution (size less than or equal to 30) that approximates the normal distribution, we will use t-statistics.

How to calculate the confidence interval?

We use the t.interval() function from scipy.stats for the Student's T distribution.
As mentioned earlier, alpha represents the confidence level.
df stands for the number of degrees of freedom.
loc represents the mean.
sem represents the standard error of the sample.

Degrees of Freedom

Degrees of freedom are the number of independent information elements used to estimate a parameter.

The formula for degrees of freedom is N - 1, where N is the sample size.

Feel free to adjust the alpha parameter and observe the resulting changes.

¿Todo estuvo claro?

Sección 5. Capítulo 6