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Hypothesis Testing
Free

Hypothesis Testing

In this course, you will learn about hypothesis testing, used for validating dataset hypotheses, along with techniques to test a hypothesis.

  • Hypothesis testing
  • One-tailed and two-tailed tests of hypothesis
  • Type I and type II errors
  • Decision rule, power of test and confidence intervals
  • Using z-value and p-value
  • Tests concerning population mean
  • Tests concerning equality of population mean
  • Tests concerning the mean difference of populations
  • Tests concerning variance of population
  • Non-parametric tests

Lessons

01

What is Hypothesis Testing

Start
02

Test Statistic, Type I and type II Errors, and Significance Level

Start
03

Decision Rule in Hypothesis Testing

Start
04

p-Value in Hypothesis Testing

Start
05

Selecting the Appropriate Test Statistic

Start
06

Hypothesis Testing with t-statistic

Start
07

Hypothesis Testing with z-statistic

Start
08

Tests Concerning Differences in Means

Start
09

Paired Comparision Tests - Mean Differences When Populations are Not Independent

Start
10

Hypothesis Tests Concerning Variances

Start
11

Chi-square Test – Test for value of a single population variance

Start
12

F-test - Test for the Differences Between Two Population Variances

Start
13

Non-parametric Tests

Start

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Resources

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Quizzes

1
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