What is the appropriate decision rule?
A) Reject H0 if t statistic > t,n-1
B) Reject H0 if t statistic < -tn-1,/2 or > tn-1,/2
C) Reject H0 if t statistic = t,n-1
D) Reject H0 if t statistic < -t,n-1
Q. 2When testing the strength of the relationship between two variables, the alternate hypothesis is H1 ; 0.
Indicate whether the statement is true or false
Q. 3In reference to the Durbin-Watson statistic d and the critical values dLand d, which of the following statements is false?
A) If d < dL, we conclude that positive first-order autocorrelation exists
B) If d > dU, we conclude that there is not enough evidence to show that positive first-order autocorrelation exists
C) If d > 4 - dL, we conclude that there is negative autocorrelation.
D) If d lies in between dL and dU, we conclude that there is no evidence of first-order autocorrelation.
Q. 4Give some real life examples of the use of chi-square tests using contingency tables.
What will be an ideal response?
Q. 5The standard error of the mean is also called sampling error.
Indicate whether the statement is true or false
Q. 6An example of ratio data would be ________.
A) classifying students by college majors
B) rating a book as poor, good, or very good
C) organizing material costs by cost per unit
D) classifying stores by sales in dollars
Q. 7In regression models, multicollinearity arises when the:
A) dependent variables are highly correlated with one another.
B) independent variables are highly correlated with one another.
C) independent variables are highly correlated with the dependent variable.
D) error terms do not have the same variance.
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