Sample vs Population

Understanding statistics will expand your horizons and allow you to recognize statistical patterns and work with data. The first fundamental definitions: sample and population.

Population: is a set of identical items in our study of interest.
Sample: is a subset of the population which is intended to capture the characteristics of the population (however, it might not always accurately reflect characteristics of the population due to its quality).

Sample vs Population: Example

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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

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

Sample vs Population

Understanding statistics will expand your horizons and allow you to recognize statistical patterns and work with data. The first fundamental definitions: sample and population.

Population: is a set of identical items in our study of interest.
Sample: is a subset of the population which is intended to capture the characteristics of the population (however, it might not always accurately reflect characteristics of the population due to its quality).