Q1) Smaller the p-value in test of hypothesis, the more important the results are.
a) True
b) False
Q2) Industrial supplier has shipped truckload of Teflon lubricant cartridges to aerospace customer. Customer has been assured that mean weight of these cartridges is in excess of 11 ounces printed on each cartridge. To check this claim, sample of n = 15 cartridges are arbitrarily chosen from shipment and carefully weighed. Summary statistics for sample are: x-bar = 11.13 ounces, s = .15 ounce. To find out whether supplier's claim is true, let the test, H0: µ = 11 vs. Ha: µ> 11, where µ is true mean weight of cartridges. Ciompute the value of test statistic.
a) 0.867
b) 1.300
c) 3.357
d) 13.000
Q3) Business college computing centre wishes to find out proportion of business students who have laptop computers. If proportion exceeds 35%, then lab will scale back a proposed enlargement of its facilities. Assume 300 business students were arbitrarily sampled and 85 have laptops. Determine rejection region for corresponding test using α = .10.
a) Reject H0 if z > 1.645 or z < -1.645.
b) Reject H0 if z > 1.28.
c) Reject H0 if z < -1.28.
d) Reject H0 if z = 1.28.
Q4) Company claims that 9 out of 10 doctors (i.e., 90%) suggest its brand of cough syrup to their patients. To test this claim against alternative that actual proportion is less than 90%, a random sample of 100 doctors was selected which resulted in 86 who point to that they recommend this cough syrup. Test statistic in this problem is approximately:
a) -1.33
b) -0.83
c) -0.99
d) 1.33