1. A light-bulb manufacturer advertises that the average life
for its light bulbs is 900 hours.
A random sample of 8 of its light bulbs resulted in the following
lives in hours:
995 590 910 539
916 728 664 693
At the 0.01 significance level, test the claim that the sample is from a population with a mean life of 900 hours.
a. P-value = 0.979, reject alternative claim
b. P-value = 0.042, reject alternative claim
c. P-value = 0.979, fail to reject null claim
d. P-value = 0.021, reject null claim
e. P-value = 0.042, fail to reject null claim
2. In a sample of 74 adults selected randomly from one town, it is found that 9 of them have been exposed to a particular strain of the flu. Using P-value, test the claim that the population proportion of all adults in the town that have been exposed to this strain of the flu is greater than 0.10. Use a 0.01 significance level and determine conclusion.
a. P-val = 0.732, reject the alternative hypothesis
b. P-val = 0.535, reject the alternative hypothesis
c. P-val = 0.268, fail to reject the null hypothesis
d. P-val = 0.732, fail to reject the alternative hypothesis
e. P-val = 0.535, fail to reject the null hypothesis
f. P-val = 0.268, reject the null hypothesis
3. An article in a journal claims that 37% of American fathers take no responsibility for child care. Using P-value approach and a 0.10 significance level, test the claim using a random sample of 254 fathers, of which 82 did not help with child care.
a. P-value = 0.059; reject H0
b. P-value = 0.940; reject H1
c. P-value = 0.119; fail to reject H0
d. P-value = 0.119; reject H0
e. P-value = 0.059; fail to reject H0
f. P-value = 0.940; fail to reject H1
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