Chapter 12 Flashcards

1
Q

What is the minimum level of measurement for chi-squared?

A

Nominal (can do all of them)

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2
Q

What is meant by inferential statistics?

A
  • statistical method used to draw conclusions or make inferences about a larger population based on data collected from a smaller sample of that population, essentially allowing researchers to make predictions or generalizations about a group
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3
Q

What is the meaning for the test of independence?

A

Look at two categorical variables at a time. Test for associations (how alike they are) between the variables. Determines if the sample distribution in the first variable are different than the categories in the second variable

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4
Q

What is the meaning for the goodness of fit test?

A

Look at one categorical variable at a time, and it determines if the sample distribution across the categorical variable differs from the hypothesized distribution (theoretically, or based on population values)

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5
Q

What is the alternate hypothesis for the goodness of fit test?

A

HA: Observations are not equally distributed across categories

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6
Q

What is the null hypothesis for the goodness of fit test?

A

H0: Observations are equally distributed across categories

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7
Q

What is the null hypothesis for the for the test of independence?

A

H0: The distribution of observations is independent for the two variables

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8
Q

What is the alternate hypothesis for the test of independence?

A

HA: The distribution of observations is not independent for the two variables

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9
Q

When should you retain (i.e., fail to reject) the null hypothesis for the chi-squared test based on p-values and alpha values

A

fail to reject the null hypothesis if the p-value is greater than or equal to alpha

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10
Q

When should you reject the null hypothesis for the chi-squared test based on p-values and alpha values?

A

reject the null hypothesis if the calculated p-value is less than your chosen alpha level (significance level)

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