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A market research agency would like to estimate the proportion of Canadian households owning a personal computer. What minimum sample size will be required if they want to be 99% confident that the sample proportion will not differ from the true population proportion by more than 5%?
Four brands of light bulbs are being considered for use in the final assembly area of the Saturn plant in Spring Hill, Tennessee. The director of purchasing asked for samples of 100 from each manufacturer.
Which two types of probability sampling are best suited for business research and statistical data analysis, and why?
A manufacturer wants to increase the absorption capacity of a sponge. Based on past data, the average sponge could absorb 3.5 ounces.
Now assume institutional cache is used. Hit rate for cache is 0.6. Determine the total average response time.
Use value you found in part a to find out degree of confidence for interval 65.65
A group of 47 randomly selected students have a mean score of 20.2 with a standard deviation of 4.6 on a placement test. Construct a 90% confidence interval for the mean score, , of all students taking the test.
A sample of 46 bars is taken and their mean length is determined to be 51 centimeters with a standard deviation of 3.6 centimeters. Using a .01 significance level, test the retailers claim that the population mean is less than 50 centimeters.
Consumers reported on average 1.7 problems per vehicle with a popular make and model of a 2006 car. We randomly select a vehicle of the same make, model, and year.
Test whether there is difference in the two population mean. Use p-value approach
Thus, the first question he examines is as follows: Is there a difference in the number of points students earned on their educational statistics pretests and posttests?
Find a 95 percent confidence interval for the population mean concentration of uric acid in this patients blood. The concentration of uric acid in this patient's blood.
Of 260 females, 224 answered yes. Construct a contingency table to evaluate the probabilities. What is the probability that a respondent chosen at random:
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