Statistics Tutorial

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Welcome to this introductory course in Statistics.

This course serves as an excellent primer to Data Analytics.

Learn Statistics

We have created 36 tutorial pages for you to learn more about some of the most important concepts in Statistics.

Basic ConceptsIntroduction 
Gathering Data
 
Describing Data
 
Making Conclusions
 
Prediction
 
Populations
 
Parameters
 
Study Types
 
Sample Types
 
Data Types
 
Measurement Levels
Descriptive StatisticsDescriptive Statistics
 
Frequency Tables
 
Histograms
 
Bar Graphs
 
Pie Charts
 
Box Plots
 
Average
 
Mean
 
Median
 
Mode
 
Variation
 
Range
 
Quartile & Percentile
 
Interquartile Range
 
Standard Deviation
Inferential StatisticsStatistical Inference
 
Normal Distribution
 
Standard Normal
 
T-Distribution
 
Estimation
 
Proportion Estimation
 
Mean Estimation
 
Hypothesis Testing
 
Testing Proportion
 
Testing Mean

Learning by Examples

In our "Try it Yourself" editor, you can use Python modules and R code, and modify the code to see the result.

Example

With Python use the NumPy library mean() method to find the mean of the values 4,11,7,14:

import numpy

values = [4,11,7,14]

x = numpy.mean(values)

print(x)

Try it Yourself »

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