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A consumer advocate researches the length of life between two brands of refrigerators, Brand A and Brand B. He collects data on the longevity of 40 refrigerators for Brand A and repeats the sampling for Brand B. The data are measured in years.
a. Specify the competing hypotheses to test whether the average length of life differs between the two brands.
b. Using the appropriate commands in Excel, find the value of the test statistic. Assume that σ2A = 4.4 and σ2B = 5.2 . What is the p-value?
c. At the 5% significance level, what is the conclusion?
A company has set a goal of developing a battery that lasts over 5 hours in continuous use in a sample of 42 of these batteries the mean life time was 306.25 hours with a standard deviation of 29.31
This semester a sample of 45 students revealed an average cost of books of $395 per student. The Dean of Students believes that the costs are greater this semester. What is the test value for this hypothesis.
a researcher wantd to compare the pulse rate of identical twins to see wether there was any differece. eight sets of
Use a 95% confidence interval for multiple comparisons. Show your calculation by hand between Monday and Tuesday. Match your answer with Minitab output. Attach Minitab output.
according to most estimates 10 of the people in the general population are left-handed and 90 are right-handed. a
Test Scores: mean=100 variance = 225 Years of Service: mean=5 variance = 81 Of test scores and years of service, which measure has the greater dispersion?
At 95% confidence using the p- value approach, test the hypotheses. Let α = 0.1.
Determine the regression equation. Interpret the equation. Do more bidders tend to increase or decrease the amount of the winning bid?
Perform the sensitivity analysis for the COM-TECH case. Assume you are interested in following two probabilities: probability of receiving grant, and probability of high cellular R&D costs.
of 43 bank customers depositing a check 18 received some cash back. construct a 90 confidence interval for the
What is the mean number among 12 truthful persons who will be classied as deceptive? What is the standard deviation of this number?
The last sample showed a mean and standard deviation of 3.55 and 0.08 inches, respectively. Using α = 0.05, the appropriate decision is?
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