Two popular brands of tires for tractor-trailers are the Puma and the Eternal. Ann is a buyer for a major shipping company and wants to determine if there is any difference between the two brands of tire in the mean distance (in thousands of km) driven on them before they need to be replaced. In the company's testing lab, Ann tests a random sample of 14 Puma tires and a random sample of 15 Eternal tires. (These samples are chosen independently.) For the Puma tires, the sample mean distance (in thousands of km) until they would need to be replaced is 54.71 with a sample variance of 5.95. For the Eternal tires, the sample mean distance (in km) until they would need to be replaced is 50.21 with a sample variance of 37.75. Assume that the two populations of distances driven are approximately normally distributed. Can Ann conclude, at the 0.05 level of significance, that there is a difference between the population mean of the distances (in thousands of km) driven on Puma tires before they need to be replaced and the population mean of the distances (in thousands of km) driven on Eternal tires before they need to be replaced? Perform a two-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.) (a) State the null hypothesis Ho and the alternate hypothesis H₁. Ho :O H₁ :0 (b) Determine the type of test statistic to use. Degrees of freedom: (c) Find the value of the test statistic. (Round to three or more decimal places.) 3 μ |x 4 O S 00 Р 00 0<0 O

MATLAB: An Introduction with Applications
6th Edition
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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(a) State the null hypothesis H and the alternate hypothesis H₁.
H₂:0
H₁ : :0
(b) Determine the type of test statistic to use.
Degrees of freedom:
(c) Find the value of the test statistic. (Round to three or more decimal places.)
0
(d) Find the two critical values. (Round to three or more decimal places.)
and 0
t
(e) At the 0.05 level of significance, can Ann conclude that there is a difference
between the mean distance (in thousands of km) driven on Puma tires before
they need to be replaced and the mean distance (in thousands of km) driven
on Eternal tires before they need to be replaced?
Yes No
C
C
Transcribed Image Text:(a) State the null hypothesis H and the alternate hypothesis H₁. H₂:0 H₁ : :0 (b) Determine the type of test statistic to use. Degrees of freedom: (c) Find the value of the test statistic. (Round to three or more decimal places.) 0 (d) Find the two critical values. (Round to three or more decimal places.) and 0 t (e) At the 0.05 level of significance, can Ann conclude that there is a difference between the mean distance (in thousands of km) driven on Puma tires before they need to be replaced and the mean distance (in thousands of km) driven on Eternal tires before they need to be replaced? Yes No C C
Two popular brands of tires for tractor-trailers are the Puma and the Eternal. Ann is a buyer for a major shipping company and wants to determine if there is any
difference between the two brands of tire in the mean distance (in thousands of km) driven on them before they need to be replaced.
In the company's testing lab, Ann tests a random sample of 14 Puma tires and a random sample of 15 Eternal tires. (These samples are chosen independently.)
For the Puma tires, the sample mean distance (in thousands of km) until they would need to be replaced is 54.71 with a sample variance of 5.95. For the Eternal
tires, the sample mean distance (in km) until they would need to be replaced is 50.21 with a sample variance of 37.75.
Assume that the two populations of distances driven are approximately normally distributed. Can Ann conclude, at the 0.05 level of significance, that there is a
difference between the population mean of the distances (in thousands of km) driven on Puma tires before they need to be replaced and the population mean of
the distances (in thousands of km) driven on Eternal tires before they need to be replaced?
Perform a two-tailed test. Then complete the parts below.
Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.)
(a) State the null hypothesis H and the alternate hypothesis H₁.
H₂ : O
H₁ :0
(b) Determine the type of test statistic to use.
t
▼
Degrees of freedom:
(c) Find the value of the test statistic. (Round to three or more decimal places.)
0
μ
|x
X
9.
O
#0
S
00
P
<Q
00
0=0 OSO 020
0<0 0>0
Transcribed Image Text:Two popular brands of tires for tractor-trailers are the Puma and the Eternal. Ann is a buyer for a major shipping company and wants to determine if there is any difference between the two brands of tire in the mean distance (in thousands of km) driven on them before they need to be replaced. In the company's testing lab, Ann tests a random sample of 14 Puma tires and a random sample of 15 Eternal tires. (These samples are chosen independently.) For the Puma tires, the sample mean distance (in thousands of km) until they would need to be replaced is 54.71 with a sample variance of 5.95. For the Eternal tires, the sample mean distance (in km) until they would need to be replaced is 50.21 with a sample variance of 37.75. Assume that the two populations of distances driven are approximately normally distributed. Can Ann conclude, at the 0.05 level of significance, that there is a difference between the population mean of the distances (in thousands of km) driven on Puma tires before they need to be replaced and the population mean of the distances (in thousands of km) driven on Eternal tires before they need to be replaced? Perform a two-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.) (a) State the null hypothesis H and the alternate hypothesis H₁. H₂ : O H₁ :0 (b) Determine the type of test statistic to use. t ▼ Degrees of freedom: (c) Find the value of the test statistic. (Round to three or more decimal places.) 0 μ |x X 9. O #0 S 00 P <Q 00 0=0 OSO 020 0<0 0>0
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