Microsoft excel was used on a set of data involving the number of defective items found in a random sample of 46 cases of light bulbs produced during a morning shift at a plant. a manager wants to know if the mean number of defective bulbs per case is over 20 during the morning shift. she will make her decision using a test with a level of significance of 0.10. the following information was extracted from the microsoft excel output for the sample of 46 cases:
n = 46; arithmetic mean = 28.00; standard deviation = 25.92; standard error = 3.82;
null hypothesis: h0 : %u03bc %u2264 20.000; %u03b1 = 0.10; df = 45; t test statistic = 2.09;
one-tail test upper critical value = 1.3006; p-value = 0.021; decision = reject.
referring to information above, what critical value should the manager use to determine the rejection region?
a) 1.3011
b) 1.3006
c) 0.6800
d) 1.6794