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Learning Statistics with Python

Sample vs PopulationSample vs Population

In this course, we will work with Seaborn visualization and manipulate datasets using pandas and NumPy. Therefore, to succed in this course, I strongly recommend taking the following courses:

Understanding statistics will expand your horizons and allow you to recognize statistical patterns and work with data. Let's begin with the fundamental definitions: sample and population.

Sample vs Population

Population

The population is a set of identical items in our study of interest.

Sample

A 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

PopulationSample
Example:All the students in the classTop 5 students in the class
Example:All students graduated from university100 random students graduated from university

Select an example of a sample:

Selecciona la respuesta correcta

¿Todo estuvo claro?

Sección 1. Capítulo 1
course content

Contenido del Curso

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 ValueDescriptive Statistics Quiz

2. Mean, Median and Mode with Python

Examine the DatasetCalculating Mean and Median Values with PythonStatistics with pandasCalculate the Mean and Median Salary

3. Variance and Standard Deviation

Population VarianceSample VarianceCalculate Variance with PythonStandard deviationStandard Deviation with PythonCalculating Variance and Standard Deviation

4. Covariance vs Correlation

CovarianceCorrelationSelect All Possible ValuesCalculate Covariance and Correlation

5. Confidence Interval

Explore the Data SetConfidence IntervalCalculating Confidence Interval with PythonConfidence Interval Width QuizCalculate 95% Confidence IntervalAdvanced Confidence Interval Calculation with PythonMatch the Functions

6. Statistical Testing

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

Learning Statistics with Python

Sample vs PopulationSample vs Population

In this course, we will work with Seaborn visualization and manipulate datasets using pandas and NumPy. Therefore, to succed in this course, I strongly recommend taking the following courses:

Understanding statistics will expand your horizons and allow you to recognize statistical patterns and work with data. Let's begin with the fundamental definitions: sample and population.

Sample vs Population

Population

The population is a set of identical items in our study of interest.

Sample

A 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

PopulationSample
Example:All the students in the classTop 5 students in the class
Example:All students graduated from university100 random students graduated from university

Select an example of a sample:

Selecciona la respuesta correcta

¿Todo estuvo claro?

Sección 1. Capítulo 1
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