Stats 3
Ho: Gender and type of stop are independent. Ha: Gender and type of stop are not independent.
At a stop sign, some drivers come to a full stop, some come to a `rolling stop' (not a full stop, but slow down), and some do not stop at all. We would like to test if there is an association between gender and type of stop (full, rolling, or no stop). We collect data by standing a few feet from a stop sign and taking note of type of stop and the gender of the driver. What are the hypotheses for testing for an association between gender and type of stop?
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For a given degrees of freedom, the larger the chi-square statistic, the ________________ evidence there is to reject the null hypothesis.
Small values of the chi squared test statistic reflect significant differences between observed and expected frequencies.
Which of the following is NOT true for conducting a hypothesis test for independence between the row variable and column variable in a contingency table?
you have made a calculation error; chi-square values cannot be negative.
You obtain a sample chi-square test statistic of -5.49. On the basis of this value, you know that
No, in a chi squared-distribution, all chi squared-values are greater than or equal to 0.
Can a critical value for the chi squared-test be negative? Explain.
Small values of the chi squared test statistic would lead to a decision to reject the null hypothesis.
In a Chi-Square test, which of the following is NOT true?
4
The degrees of freedom for a 3 x 3 cross-tabulation table for the chi-square test of independence equal
False, the null is status quo and assumes no difference exists between our observations and expectations.
The null hypothesis for all chi-square tests assumes the observed data (frequencies) in a sample is different from what we expect of a given population.
examine relationships between two categorical variables.
The purpose of a Chi-Square test is to
When all observed counts are the same as their expected counts.
When will a chi-square statistic be 0?
