Exam 11: Testing for Significance: the Chi-Square Test

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The larger the value of Chi-square value, the smaller the probability.

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The Chi-square test is designed to be used with

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Observed frequencies in Chi-square refers to

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Nonparametric statistics are called that because they

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Chi-square gets its name because of the fact that the O - E differences are squared.

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Assumptions of the Chi-square test include

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Chi-square is a measure of the cumulative differences between what we expect to get and what we really get.

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If you have a 2x2 table and a small number of cases, the best choice of statistic below is:

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Expected values are used in cells because they

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If a null relationship exists in a crosstabulation table

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If you have a 2x2 table, the number of degrees of freedom is

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Because sample size affects probability levels, never use a measure of significance to mean strength of relationship.

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Degrees of freedom in a Chi-square test refers to the total number of cases divided by the number of cells in a table.

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Larber values of Chi-square indicate bigger differences.

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Fisher's Exact Test is expressly designed for large samples that Chi-square cannot handle.

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Chi-square is very sensitive to violations of its assumptions.

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Which of the following statistics can be used to determine whether or not there is a statistically significant relationship between two variables in a 2x3 crosstabulation table?

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The larger the value of chi-square:

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Which of the following can cause problems in the accurate interpretation of Chi-square?

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Interval-level data is particularly appropriate for Chi-square because it is less likely to violate assumptions.

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