constantly and the number of miles before the transmission fails is recorded. The auto maker claims that the transmissions can run constantly for over 150,000 miles before failure. The results of the sample are given below. Miles (1000s of miles) Mean 150.7 Variance 4.661 Observations 46 Hypothesized Mean 150 df 45 t Stat 2.185 p= Ex: 1.234 P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail Confidence Level(95.0%) 0.641 0.017 1.679 0.034 2.014 Ex: 1.234 What condition is met for the use of at-distribution? The population is stated to be not skewed. -

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Author:Amos Gilat
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Chapter1: Starting With Matlab
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An auto maker is interested in information about how long transmissions last. A sample of transmissions are run
constantly and the number of miles before the transmission fails is recorded. The auto maker claims that the
transmissions can run constantly for over 150,000 miles before failure. The results of the sample are given below.
Miles (1000s of miles)
150.7
Mean
Variance
4.661
Observations
46
Hypothesized Mean
150
df
45
t Stat
2.185
p= Ex: 1.234
0.017
P(T<=t) one-tail
t Critical one-tail
P(T<nt) two-tail
t Critical two-tail
1.679
0.034
Ex: 1.234 -
2.014
Confidence Level(95.0%) 0.641
What condition is met for the use of a t-distribution? The population is stated to be not skewed. -
Transcribed Image Text:An auto maker is interested in information about how long transmissions last. A sample of transmissions are run constantly and the number of miles before the transmission fails is recorded. The auto maker claims that the transmissions can run constantly for over 150,000 miles before failure. The results of the sample are given below. Miles (1000s of miles) 150.7 Mean Variance 4.661 Observations 46 Hypothesized Mean 150 df 45 t Stat 2.185 p= Ex: 1.234 0.017 P(T<=t) one-tail t Critical one-tail P(T<nt) two-tail t Critical two-tail 1.679 0.034 Ex: 1.234 - 2.014 Confidence Level(95.0%) 0.641 What condition is met for the use of a t-distribution? The population is stated to be not skewed. -
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