If two variables have a statistically significant relationship that does not necessarily mean the two variables have a relationship of practical importance. Describe how this could happen.
Q. 2A __________ test is a statistical procedure that is used to determine whether or not there is a relationship between two categorical variables.
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Q. 3A measure of how unlikely the test statistic would be if the null hypothesis were true is the __________.
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Q. 4Which of the following statements is not true about the chi-square statistic for a 2 x 2 contingency table?
a. If it is greater than 3.84, reject the null hypothesis and accept the alternative hypothesis.
b. If it is greater than 3.84, the relationship in the table is considered to be statistically significant.
c. 95 of the tables for sample data from populations in which there is no relationship will have a chi-square statistic of 3.84 or greater.
d. All of the above are true.
Q. 5Which of the following statements is true about chi-square tests?
a. A large chi-square test statistic results in a large p-value.
b. A large p-value means that there is a good chance that the relationship is statistically significant.
c. If the two variables are not related in the population, then less than 5 of the samples you could ever take would give you a test statistic of 3.84 or larger.
d. All of the above.
Q. 6Using the criterion of .05, which of the following results allows a researcher to conclude that a relationship between two categorical variables is statistically significant?
a. p-value = .04
b. p-value = .50
c. p-value = .95
d. None of the above.
Q. 7The __________ hypothesis is usually written to express the fact that nothing is happening.'
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Q. 8Another name for the alternative hypothesis is the __________ hypothesis.
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