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Question: A marriage counselor administered a test designed to measure overall contentment to 30 randomly selected married couples. The scores for each couple are given below. A higher number corresponds to greater contentment or happiness.
a. Test, at the 1% level of significance, the hypothesis that on average men and women are not equally happy in marriage.
b. Test, at the 1% level of significance, the hypothesis that on average men are happier than women in marriage.
The average expenditure on Valentine's Day was expected to be $100.89 (USA Today,| February 13, 2006). Do male and female consumers differ in the amounts they spend?
The number of degrees of freedom for the appropriate chi-square distribution in a test of independence is:
A survey of 120 high school students shows that 39 of them work over 20 hours per week during the school year. Does it demonstrate the conjecture that more than 25% of the high school students work over 20 hours per week during the school year?
Opinions on whether or not the legal drinking age should be lowered to 19 years old, collected from a random sample of parents of high school students in the state. Do a majority of adults in the state support lowering the drinking age to 19?
The sample mean and variance of this new variable are called y¯ and s2y, respectively. Use the definitions of sample means and variances (in summation notation) to prove the following statements.
Find the equation of the least squares regression line that models the relationship between square footage and rental amount and interpret the meaning of the coefficients.
If the test had been two-tail (i.e., 2000 versus ) instead of right-tail, would the p-value still be 0.012? If not, what would the p-value be? Explain.
Standard deviation of 8.3 minutes. Assuming normality, at the a = .05 level, is there enough evidence to show the mean oil change time is different?
Use linear regression analysis to compute the correlation between Wins and Salary. List the regression equation, and all associated regression output. At the .05 and .01 level of significance, is there a relationship between salary and winning?
For each of the two factors (age at first live birth and age at meno- pause), calculate the generalized odds and give your interpretation. How does this result compare with those in part (a)?
A student wants to send a bouquet of roses to her mother for Mother's Day. She can afford to buy only two types of roses and decides to randomly pick.
In problem, the coefficient of determination was found to be r2 = 0.09.10 What can you say about this regression, as far as its power to predict customer.
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