Chi-squared Flashcards

1
Q

What are the steps of analysis?

A

Obtain Data, from which we calculate…
. . .
A test statistic that represents the relationship of interest, which we compare to…
. . .
The distribution of that test statistic under the null hypothesis to get…
. . .
The probability p of getting a test statistic as large as the one we have (or larger) if the null hypothesis is true so that we can…
. . .
Evaluate our competing hypotheses using a previously decided 𝛼 level.

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2
Q

What are we calculating when we calculate a test statistic?

A

How different are the observed counts from the expected counts?

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3
Q

Define the term “Observed counts”

A

The number of occurrences in each category observed in the sample

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4
Q

Define the term “Expected counts”

A

The number of occurrences in each category expected under the null hypothesis

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5
Q

What is the 𝜒^2 distribution?

A

The sum of squared normal distributions

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6
Q

What two things do degrees of freedom determine?

A

The distribution’s shape and proportions

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7
Q

What does 𝜒^2 quantify?

A

How different a set of observed frequencies are from expected frequencies

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8
Q

What is a Goodness of Fit Test?

A

Tests whether a sample of frequency data came from a population with a specific, known distribution

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9
Q

What is continuous data?

A

Represent some measurement or score on a scale
Examples = Reaction time to press a button, mean anxiety score
Answers the question: how much?

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10
Q

What is categorical data?

A

Represent membership in a particular group or condition
Examples = control vs experimental group, year of uni
Answers the question: which one?

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11
Q

What is a statistical assumption?

A

A precondition that must be true in order for a statistical test to work as expected. If these assumptions are violated (i.e.not true), then the test may give inaccurate or misleading estimates or results.

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12
Q

What is an assumption of the chi-squared test?
What test do we use instead if this assumption is not met?

A

One of the assumptions of 𝜒^2 is that all expected frequencies are greater than 5
Otherwise this test can give you a drastically wrong answer
In this case, use Fisher’s exact test (fisher.test()) instead

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