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Statistics Tutorial - T Distribution and Hypothesis Testing

Offered By: Derek Banas via YouTube

Tags

Statistics & Probability Courses Data Analysis Courses Python Courses Hypothesis Testing Courses Confidence Intervals Courses Statistical Inference Courses Degrees of Freedom Courses Probability Theory Courses t-Distribution Courses

Course Description

Overview

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.

Syllabus

Introduction
What are T distributions
Formula for T distributions
Example
Confidence Interval
T Table
T Values
Dependent Samples
Independent Samples
Hypothesis
Hypothesis Testing
Hypothesis Errors


Taught by

Derek Banas

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