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Statistics By Jim

Making statistics intuitive

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Hypothesis Testing

How to Analyze Likert Scale Data

By Jim Frost 144 Comments

How do you analyze Likert scale data? Likert scales are the most broadly used method for scaling responses in survey studies. Survey questions that ask you to indicate your level of agreement, from strongly agree to strongly disagree, use the Likert scale. The data in the worksheet are five-point Likert scale data for two groups [Read more…] about How to Analyze Likert Scale Data

Filed Under: Hypothesis Testing Tagged With: assumptions, choosing analysis, conceptual

Chi-Square Test of Independence and an Example

By Jim Frost 85 Comments

The Chi-square test of independence determines whether there is a statistically significant relationship between categorical variables. It is a hypothesis test that answers the question—do the values of one categorical variable depend on the value of other categorical variables? This test is also known as the chi-square test of association.
[Read more…] about Chi-Square Test of Independence and an Example

Filed Under: Hypothesis Testing Tagged With: analysis example, interpreting results

Hypothesis Testing and the Mythbusters: Are Yawns Contagious?

By Jim Frost 3 Comments

When it comes to hypothesis testing, statistics help you avoid opinions about when an effect is large and how many samples you need to collect. Feelings about these things can be way off—even among those who regularly perform experiments and collect data! These hunches can lead you to incorrect conclusions. Always perform the correct hypothesis tests so you understand the strength of your evidence.

[Read more…] about Hypothesis Testing and the Mythbusters: Are Yawns Contagious?

Filed Under: Hypothesis Testing Tagged With: analysis example, interpreting results

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