Try out our new practice tests completely free!

Statistics

Bookmark

## Quiz 16 : Chi-Square Tests

To compute a pooled sample proportion, each of the sample proportions is weighted by the size of the population from which the sample was selected.
Free
True False

False

The degrees of freedom for in a test of independence involving a contingency table with 10 rows and 11 columns are 90.
Free
True False

True

One hundred people were sampled from each of three populations and asked a question.The responses are shown in the table: If the three populations represented here contain the same proportion of yes responses, we would have expected to see 23.33 yes responses in each sample.
Free
True False

True

The degrees of freedom for a test of independence involving a contingency table with 10 rows and 8 columns are 63.
True False
In a chi-square calculation involving 6 independent terms (that is, with df = 6), there is a 5% probability that the result will be less than 1.635.
True False
Two hundred items were sampled from each of two recent shipments.The results are shown in the table: If the two shipments contain the same proportion of defective items, we would have expected to see 14 defective items in each sample.
True False
The table-based approach to testing for differences in population proportions yields more accurate results than the squared standardized normal random variable approach.
True False
Samples of equal size have been selected from each of three populations, producing sample proportions of 0.4, 0.3, and 0.5.To compute a pooled sample proportion, we can compute the simple average of the three sample proportions.
True False
Samples of equal size have been selected from each of three populations, producing sample proportions of 0.4, 0.3, and 0.5.To compute a pooled sample proportion, each of the sample proportions is weighted by size of the population from which the sample was selected.
True False
The degrees of freedom for test of independence involving a contingency table with 12 rows and 12 columns are 144.
True False
In a chi-square distribution, 2 is the sum of squared standardized normal random variables with degrees of freedom equal to the number of independent terms included in the sum.
True False
In a chi-square test of proportion differences, we will reject the "all proportions are equal" null hypothesis if the p-value for the chi-square statistic is less than the significance level for the test.
True False
Samples of equal size have been selected from each of three populations, producing sample proportions of 0.5, 0.7, and 0.6.The pooled sample proportion would be 0.65.
True False
The degrees of freedom in a goodness of fit test for a multinomial distribution with 5 categories are 4.
True False
In a chi-square calculation involving 5 independent terms (that is, with df = 5), there is a 5% probability that the result will be greater than 16.750.
True False
The degrees of freedom in a goodness of fit test for a multinomial distribution with 5 categories are (5 − 2) = 3.
True False