a) The parameter of interest is [Select] >) The null hypothesis Ho : µ alternative hypothesis Ha: C) The observed value is [Select ] ox = [Select] " [Select] 13 [Select] and the ~ Normal(μz

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Chapter1: Combinatorial Analysis
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A pit crew claims that its mean pit stop time (for 4 new tires and
fuel) during an auto race is different than 13 seconds. A random
sample of 40 pit stop times has a sample mean of 12.9 seconds
and a population standard deviation of 0.3 second. Let a = 1%.
Answers should be based on Rguroo-> mean inference -> one
population output.
a) The parameter of interest is [Select]
b) The null hypothesis Ho: μ [Select]
alternative hypothesis Ha:μ ‡ 13
c) The observed value is [Select]
[Select]
ox
= [Select]
d) The researcher can reject the null for < [Select]
and > [Select]
Region Graph")
e) P(type I error)= [Select]
and the
.~ Normal(μ=
=
~)
. (Rguroo: Details->choose "Critical
f) The probability of observing a value more extreme than already
observed in the direction of the alternative is
P-value = 2P(< 12.9)
[Select]
g) Result: [Select]
Transcribed Image Text:A pit crew claims that its mean pit stop time (for 4 new tires and fuel) during an auto race is different than 13 seconds. A random sample of 40 pit stop times has a sample mean of 12.9 seconds and a population standard deviation of 0.3 second. Let a = 1%. Answers should be based on Rguroo-> mean inference -> one population output. a) The parameter of interest is [Select] b) The null hypothesis Ho: μ [Select] alternative hypothesis Ha:μ ‡ 13 c) The observed value is [Select] [Select] ox = [Select] d) The researcher can reject the null for < [Select] and > [Select] Region Graph") e) P(type I error)= [Select] and the .~ Normal(μ= = ~) . (Rguroo: Details->choose "Critical f) The probability of observing a value more extreme than already observed in the direction of the alternative is P-value = 2P(< 12.9) [Select] g) Result: [Select]
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