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For one consumer product the mean dollar sales per retail outlet last year in a sample of 15 was $3,425 with a standard deviation of $500. For a second product the mean dollar sales per outlet in a sample of 12 stores was $3,250 with a standard deviation of $375. The sales amounts per outlet are approximately normally distributed for both products and the variances are assumed to be equal. Using a 1% level for the type I error, test the hypothesis that there is no difference between the mean dollar sales for the two products. Determine the rejection region.
What is our decision regarding the differences between the observed and expected frequencies if the critical value of chi-square is 9.488 and the computed value is 6.079?
Failure times for a randomly failing component are 3.3, 14.3, 27.1, 41.3, and 92.2 hours. Find the MTTF and standard deviation using: a) moment estimation. b) maximum likelihood estimation.
At the .10 significance level you will test to determine if there has been an increase in selling time. Is this a 1 or 2 tail test?
Use frequency distribution to create a probability distribution, determine the (b) mean,(c) variance.
A shop manual gives 6.5 hours as the average time required to perform a 30,000 mile major maintenance service on a Porsche 911. Last month a mechanic performed 11 such services, and his required times were as follows.
(a) Use the steps of hypothesis testing, (b) figure the effect size for the study; and (c) explain your answers to (a) and (b) to someone who has never had a course in statistics.
As the Marketing Director of Harley-Davidson, you need to determine what your customers would like in the next model. You put a survey on the Harley Web site. Is this a good frame from which to select your sample? Explain.
Company wishes to exceed on-time rate of competitors at new hub. Hundreds of flights arrive at location daily. Determine the main advantages and disadvantages of employing sampling in application?
Find the probability that he will answer all 10 questions correctly.
A study was recently done in which 500 people were asked to point out their choices for one of three products. Following table illustrates the breakdown of responses by gender of the respondents.
It is known that 6.3 percent of students who applied to UTC were not accepted. Determine the highest score of those who were denied acceptance?
Compute the indicated confidence interval for the differenciate in proportions. Suppose that the samples are independent and that they have been randomly selected.
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