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Course Content

Learning Statistics with Python

1. Basic Concepts

Sample vs PopulationTypes of StatisticsTypes of DataMean ValueMedian ValueMedian Value of the Even Number of ValuesMean or MedianMode ValueChallenge

2. Mean, Median and Mode with Python

Examine the DatasetCalculate Mean and Median Values with PythonStatistics with pandasChallenge

3. Variance and Standard Deviation

Population VarianceSample VarianceCalculate Variance with PythonStandard deviationStandard Deviation with PythonChallenge

4. Covariance vs Correlation

CovarianceCorrelationChallenge 1Challenge 2

5. Confidence Interval

Explore the Data SetConfidence IntervalCalculating Confidence Interval with PythonChallenge 1Challenge 2Calculating Confidence Interval with PythonChallenge

6. Statistical Testing

What is t-testHypothesest-test MathematicallyOne-Tailed And Two-Tailed Testt-test AssumptionsPerforming a t-test in PythonChallengePaired t-test

Learning Statistics with Python

Sample VarianceSample Variance

Now let's delve into sample variance. The definition is similar to that of population variance, but the formula differs.

Formula

Sample Variance

Look at the example of variance rounded to two decimal points for the column 'salary_in_usd':

salaries_distribution

The variance of the column 'salary_in_usd' is 5034932663.18

Variance Key Note

We can see that the variance of the 'salary_in_usd' column is quite substantial. The values in this column are spread out a lot.

Note

The greater the variance, the more the values are scattered.

question-icon

Select the one with lower variance from the graphs with an equal number of observations and identical mean values.

Select the correct answer

Everything was clear?

Section 3. Chapter 2