Subject: Mathematics    / Statistics
Question
Question 1.1.For a one sample confidence interval, if the interval contains the population mean, the corresponding t-test will have a statistically significant result – rejecting the null hypothesis.
(Points : 1)
True
False

Question 2.2.While rejecting the null hypothesis for the goodness of fit test indicates that distributions differ, rejecting the null for the test of independence means the variables interact.
(Points : 1)
True
False

Question 3.3.A contingency table is a multiple row and multiple column table showing counts in each cell.
(Points : 1)
True
False

Question 4.4.For a one sample confidence interval, the interval is calculated around the calculated sample mean.
(Points : 1)
True
False

Question 5.5.Having expected frequencies of 5 or less in a Chi Square test can increase the likelihood of a type I error – wrongly rejecting the null hypothesis.
(Points : 1)
True
False

Question 6.6.The degrees of freedom for the goodness of fit test equals
(Points : 1)
k-1, where k equals the number of cells.
(number of rows-1)*(number of columns-1)
(number of rows)*(number of columns)
k, the number of cells in the table.

Question 7.7.For a one sample confidence interval, the interval is calculated around the estimated population or standard.
(Points : 1)
True
False

Question 8.8.The null hypothesis for the test of independence states that no correlation exists between the variables.
(Points : 1)
True
False

Question 9.9.The chi square test is very sensitive to small differences in frequency distributions.
(Points : 1)
True
False

Question 10.10.The chi square test measures differences in frequency counts rather than measures differences (such as done in the t and ANOVA tests).

(Points : 1)
True
False

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