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1) In a recent survey of 150 households, 54 had central air conditioning. Find a 96% confidence interval for the true percentage of all households that have central air conditioning. Write a sentence that interprets this interval.
2) A researcher wishes to estimate, with 95% confidence, the proportion of people who own a home computer. A previous study shows that 40% of those interviewed had a computer at home. Find the minimum sample size necessary if the researcher wants to be accurate within 2% of the true proportion.
Use the t test to determine whether the slope of the regression model is significant at α = 0.05.
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.
At the .05 significance level, is the number of units produced on the afternoon shift larger?
A researcher has a series of Likert-scale items and a measure of frequency of absenteeism. He uses each of the Likert-scaled items in a separate bivariate correlation with absenteeism without testing for the assumptions of linear relationships. Is th..
The scores of college-bound senior men on the math part of the SAT followed a normal distribution with mean 527 and standard deviation 116.
We are establishing a quality control program for a process and need to establish the mean and standard deviation for the process. The first 10 batches had samples of size 5 taken.
You are considering adding a new food product to your store for resale. Explain how many units of the new product should be purchased for resale.
Suppose that past data are not available for developing a planning value for p; therefore, you will use p = 0.050 for the planning average.
By using this data and incorporating seasonal effects, predict quarterly turnover for 2010.
To forecast attendance at an yearly tennis tournament a model has been developed that uses attendance from the previous year and the amount spent for advertising this year.
Find out coefficient of correlation between variables. Interpret the value.
Calculate the correlation coefficient. What is the coefficient of determination from these sample statistics? What does this coefficient indicate?
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