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Statistics Tutorial
- Stat HOME
- Stat Introduction
- Stat Gathering Data
- Stat Describing Data
- Stat Making Conclusions
- Stat Prediction & Explanation
- Stat Populations & Samples
- Stat Parameters & Statistics
- Stat Study Types
- Stat Sample Types
- Stat Data Types
- Stat Measurement Levels
Descriptive Statistics
- Stat Descriptive Statistics
- Stat Frequency Tables
- Stat Histograms
- Stat Bar Graphs
- Stat Pie Charts
- Stat Box Plots
- Stat Average
- Stat Mean
- Stat Median
- Stat Mode
- Stat Variation
- Stat Range
- Stat Quartiles and Percentiles
- Stat Interquartile Range
- Stat Standard Deviation
Inferential Statistics
- Stat Statistical Inference
- Stat Normal Distribution
- Stat Standard Normal Distribution
- Stat Students T-Distribution
- Stat Estimation
- Stat Population Proportion Estimation
- Stat Population Mean Estimation
- Stat Hypothesis Testing
- Stat Hypothesis Testing Proportion
- Stat Hypothesis Testing Mean
Stat Reference
Statistics
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.
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Basic Concepts
IntroductionLearning 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)
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