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34) Suppose you want to test H0: u 46 and Ha: u > 46. What will result if we conclude that the mean is greater

34) Suppose you want to test H0:u 46 and Ha:u> 46. What will result if we conclude that the mean is greater than 46 when its true value is really 51?

Select one:

a.None of the above is correct.

b.We have made a Type II error.

c.We have made a correct decision.

d.We have made a Type I error.

35) The actual voltages of power packs labeled as 12 volts are as follows: 11.77, 11.90, 11.64, 11.84, 12.13, 11.99, and 12.77. A 99% confidence interval for the mean voltage of the power packs is from ________ to ________.

Select one:

a.11.4853; 12.5261

b.12.6367; 13.0891

c.11.6367; 12.0891

d.10.6367; 11.0891

36) The least squares criterion is to

Select one:

a.Minimize sum of square due to regression (SSR)

b.Minimize total sum of square (SST)

c.Minimize sum of square due to error (SSE)

d.All of the given options

37) The owner of a local nightclub has recently surveyed a random sample ofn= 101 customers of the club. She would like to determine whether or not the mean age of her customers is greater than 25. If so, she plans to alter the entertainment to appeal to an older crowd. If not, no entertainment changes will be made. Suppose she found that the sample mean was 25.55 years and the sample standard deviation was 4 years. If she wants to have a level of significance at 0.10, what decision should she make?

Select one:

a.Reject H0.

b.Reject Ha.

c.Do not reject H0

d.We cannot tell what her decision should be from the information given.

38) The production line for Sensodyne toothpaste is designed to fill tubes with a mean weight of 6 oz. Assume that a sample of 25 toothpaste tubes provides a sample mean of 6.1 oz. The population standard deviation is believed to be 0.2 oz. The 95% confidence interval for population mean is

Select one:

a.6.01976 to 6.17929

b.6.03420 to 6.16580

c.6.02076 to 6.17924

d.6.02160 to 6.17840

39) Theresultsof the simple linear regression are provided below:

Estimated Bank's charges = -700 + 20Sales revenue.

Interpret the estimated intercept

Select one:

a.For every $1 increase in sales revenue, we expect a service charge to decrease $700.

b.There is no practical interpretation since a sales revenue of $0 is a nonsensical value.

c.All companies will be charged at least $700 by the bank.

d.About 95% of the observed service charges fall within $700 of the least squares line.

40) The t distribution

Select one:

a.assumes the population is not normally distributed and approaches the normal distribution as the sample size decreases.

b.assumes the population is not normally distributed.

c.approaches the normal distribution as the sample size decreases.

d.None of these given options.

41) Total Sum of Square (SST) and Sum of Square due to Error (SSE) for a model involving two independent variables and 10 observations are 6724 and 626, respectively. Compute adjusted R square

Select one:

a.0.900

b.0.880

c.0.944

d.0.907

42) What is residuals (error) sum of square

Select one:

a.difference between observed value and estimated value of Y

b.difference between estimated value of Y and mean value of Y

c.difference between observed value and mean value of Y

d.None of the given options are correct

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