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1
Introduction
2
What are T distributions
3
Formula for T distributions
4
Example
5
Confidence Interval
6
T Table
7
T Values
8
Dependent Samples
9
Independent Samples
10
Hypothesis
11
Hypothesis Testing
12
Hypothesis Errors
Description:
Learn how to calculate Student's T Distributions, interpret T Tables, understand Degrees of Freedom, and perform Hypothesis Testing in this comprehensive statistics tutorial. Explore the differences between Independent and Dependent Samples, and gain practical knowledge on applying these concepts. Dive deep into T distributions, their formulas, and real-world examples. Master the use of Confidence Intervals and T Values in statistical analysis. Understand the fundamentals of Hypothesis Testing, including various types of hypotheses and potential errors. This tutorial provides a thorough explanation of these essential statistical concepts, complete with Python code examples to help you build your own statistics module for practical applications.

Statistics Tutorial - T Distribution and Hypothesis Testing

Derek Banas
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