Part a)
Claim : Tires of company A outlast the tires of company B by more than 10000 miles
H0: µA - µB = 10000
Ha : µA - µB > 10000
We can find the sample means and sample sd of the given data set using excel functions =AVERAGE(data set column range )
and =STDEV.S( data set column range ) respectively.
So sample mean for company A =
1 = 56064.66
sample SD for company A = S1 =2748.69
sample size for company A = n1 = 40
sample mean for company B =
2 = 45724.64
sample SD for company B = S2 = 3176.60
sample size for company B = n2 = 32
We can use the Ti-84 calculator to find the Test statistic and p value :
Press STAT ---> Scroll to TESTS --> Select 2-sample T test and hit enter

Then select Stats and hit enter. then plug the values accordingly
While entering the value for
1 subtract 10000 , since
we have difference µA
- µB = 10000
So plug
1 = 46064.66

Select the sign at Ha , for pooled : select Yes and hit enter
Then scroll to calculate and hit enter


So Test statistic = 0.49
P-value = 0.3140
Conclusion : As p-value is greater than α =( 0.05) , we fail to reject H0
Part b) we are asked to find 98% confidence interval for µA - µB
We can use function 2- sample T Interval in TI-84 calculator .
Press STAT ---> Scroll to TESTS --> scroll down to 2-sample T Interval and hit enter.

Then select Stats and hit enter. then plug the values accordingly
For confidence interval plug the calculated value
of
1
= 56064.66

Plug C- Level = 0.98 and for pooled : select Yes and hit enter
Then scroll to calculate and hit enter


Therefore 98% confidence interval for µA - µB is ( 8676.6 , 12003 )
Prob1 Company A 52098.70805 50981.26776 59275.73435 53082.52597 53886.08272 51668.41772 53138.68242 54356.09171 59544.14955 53937.52316 56636.40834 54516.06871 56651.47495...
3. Suppose that we are testing Ho: u = 80 vs. Ha: u <80 at the .05 level and we are going to collect 10 pieces of data and o=1.2. Determine the probability of Type Il error for the alternative kl. = 79.25. ANSWER 4. Company A claims that their tires outlast the tires of Company B by more than 12.000 miles. We feel certain that Il = 62,000 ,- 5,100. Data for Company A is collected and summarized: Company...
4B. Company C claims that their process is more consistent than Company D. Data from the two companies is collected and stored in the Assignment 3A Minitab Worksheet. Test the claim at the .05 level, not assuming normal. Ho: Test Statistic: Ha: p-value to 5 decimal places: Conclusion: Fail to Reject Ho Reject Ho Conclusion in words: Company C Company D 124.937 124.929 125.013 124.830 124.976 124.763 125.121 124.989 125.010 125.097 125.098 124.984 124.913 125.084 125.009 125.152 125.085 124.987 125.037...
1. An automobile tire manufacturer would like to claim that the tread life (in miles) of a certain type of tire is greater than 30,000 miles. Assuming a normal population with 1500 miles answer the following for a test of the hypotheses Ho :-30,000 versus Ha : μ > 30,000 a) Ifa -.01 specify the rejection region as an inequality involving the value of the test statistic b) Based on a sample size of n 25, the corresponding rejection region...
A TV ad claims that a certain brand of tire has an average lifetime of more than 60,000 miles. Suppose you plan to test this claim by taking a sample of tires and put them to test. The correct set of hypotheses to set up is: Ho: μ 60,000 and Ha: μ>60,000 Ho: μ 60.000 and HA:μ> 60,000 Ho: μ-60,000 and HA: μ 60,000 Ho: μ+60,000 and HA: μ > 60,000 n. A. B. C. D.
n. A TV ad claims that a certain brand of tire has an average lifetime of more than 60,000 miles. Suppose you plan to test this claim by taking a sample of tires and put them to test. The correct set of hypotheses to set up is: A. Ho: H560,00 B. Ho:»-60,000 C. D, Ho: μ-60000 and and and and H: 60,000 HA:p>60,00 HA: μ-60,000 HA: μ>60,000 Ho: μ-60,000 Show transcribed image text Expert Answer o
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