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The branch manager of a pet supply store wants to study characteristics of customers of his store. In particular, he decides to focus on two variables: the amount of money spent by customers and whether the customers own only one cat.
1. If he wants to have 95% confidence of estimating the true population mean amount spent in his store within ± $1.50 and the standard deviation is assumed to be $10, what sample size is needed with calculations?
2. If he wants to have 90% confidence of estimating the population proportion of customers who own only a cat to within ± 0.045, what sample size is needed with calculations?
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Compute a 95% confidence interval for the mean difference in the percentage of bone loss between two groups.
We desire to test at 0.05 level of significance whether modification increases the life of battery. What is our decision rule? Reject null hypothesis if calculated t is less than 1.96.
The use of linear regression is a critical tool for a manager's decision-making ability. Please carefully read the example below and try to answer the questions in terms of the problem context.
How large a sample is required to estimate the mean speed with a margin of error equal to 2 miles per hour with 90% confidence?
A 56-question multiple choice test has 4 possible answers for each question and a student chooses the answers to each problem at random. A student selects 16 correct answers.
This sample group has errors with a standard deviation of 54.7ft. At the 5% level of significance, test that the new population has errors with a standard deviation equal to 43.7ft.
The new study is going to use the confidence level of 90%. The estimator or appreciative must be in 1% of the population proportion. Which is the necessary size of the sample?
The error between the sample mean and the population mean for a sample of n = 16 is 5 points and the error between a sample men and population mean for a sample of n = 100 is 2 points. Explain the difference in the standard error for the two sampl..
Describe the error in the conclusion. Given: There is a linear correlation between the number of cigarettes smoked and the pulse rate. As the number of cigarettes increases the pulse rate increases. Conclusion: Cigarettes cause the pulse rate to i..
What control limits should be applied to his sample?
The student with the 92 found a grading error on her exam and her correct grade was 95. There were no other grading errors. After correcting this student's paper, the five number summary for the midterm exam will be
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