The effectiveness of a new bug repellent is tested on 17 subjects for a 10 hour period. (Assume normally distributed population.) Based on the number and location of the bug bites, the percentage of surface area exposed protected from bites was calculated for each of the subjects. The results were as follows: T = 92, 8 = 12 The new repellent is considered effective if it provides a percent repellency of at least 90. Using a = 0.01, construct a hypothesis test with null hypothesis μ = 90 and alternative hypothesis > 90 to determine whether the mean repellency of the new bug repellent is greater than 90 by computing the following: (a) the degree of freedom (b) the critical t value (c) the test statistics

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The effectiveness of a new bug repellent is tested on 17 subjects for a 10 hour period. (Assume normally distributed population.) Based on the
number and location of the bug bites, the percentage of surface area exposed protected from bites was calculated for each of the subjects. The
results were as follows:
x = 92, 8 = 12
The new repellent is considered effective if it provides a percent repellency of at least 90. Using a = 0.01, construct a hypothesis test with null
hypothesis 90 and alternative hypothesis μ > 90 to determine whether the mean repellency of the new bug repellent is greater than 90 by
computing the following:
=
(a) the degree of freedom
(b) the critical t value
(c) the test statistics
Transcribed Image Text:The effectiveness of a new bug repellent is tested on 17 subjects for a 10 hour period. (Assume normally distributed population.) Based on the number and location of the bug bites, the percentage of surface area exposed protected from bites was calculated for each of the subjects. The results were as follows: x = 92, 8 = 12 The new repellent is considered effective if it provides a percent repellency of at least 90. Using a = 0.01, construct a hypothesis test with null hypothesis 90 and alternative hypothesis μ > 90 to determine whether the mean repellency of the new bug repellent is greater than 90 by computing the following: = (a) the degree of freedom (b) the critical t value (c) the test statistics
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