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Boundless Statistics
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Chapter 14

A Closer Look at Tests of Significance

Book Version 1
By Boundless
Boundless Statistics
Statistics
by Boundless
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Section 1
Which Test?
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Descriptive or Inferential Statistics?

Descriptive statistics and inferential statistics are both important components of statistics when learning about a population.

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Hypothesis Tests or Confidence Intervals?

Hypothesis tests and confidence intervals are related, but have some important differences.

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Quantitative or Qualitative Data?

Different statistical tests are used to test quantitative and qualitative data.

One, Two, or More Groups?

Different statistical tests are required when there are different numbers of groups (or samples).

Section 2
A Closer Look at Tests of Significance
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Was the Result Significant?

Results are deemed significant if they are found to have occurred by some reason other than chance.

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Data Snooping: Testing Hypotheses Once You've Seen the Data

Testing hypothesis once you've seen the data may result in inaccurate conclusions.

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Was the Result Important?

The results are deemed important if they change the effects of an event.

The Role of the Model

A statistical model is a set of assumptions concerning the generation of the observed data and similar data.

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Does the Difference Prove the Point?

Rejecting the null hypothesis does not necessarily prove the alternative hypothesis.

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Other Hypothesis Tests
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Chapter 14
A Closer Look at Tests of Significance
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