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The new director of special programs in XYZ Corporation felt the customers were waiting too long to receive and complete forms needed to enroll in special programs. After collecting some data, Ms. Jones determined the mean wait time was 28 minutes. She felt this time period was excessive and she instituted new procedures to streamline the process. One month later, a sample of 127 customers was selected. The mean wait time recorded was 26.9 minutes and the standard deviation of the sampling was 8 minutes. Using the .02 level of significance, conduct a five-step hypothesis testing procedure to determine if the new processes significantly reduced the wait time.
For following two regressions describe and interpret major parts from regression output. write down the difference between two regressions?
Compute the mean number and median number of apples in a bag.
Compute the skewness for your data set using Pearson's
He randomly samples 45 oil wells throughout the United States and determines the mean output to be 10.7 barrels per day with a standard deviation of 1.3 barrels. Test the researcher's claim at the .025 level of significance.
The Wilcoxon signed rank statistic, The mean for the Wilcoxon signed rank test and The P-value for the Wilcoxon signed rank test
While dealing with 16 students, suppose that the alternative hypothesis has been one-sided and that it was set as Ha :
What is the 90% confidence interval estimate of the difference between two population means.
The following data from a sample of 100 families show the record of college attendance by fathers and their oldest sons: in 22 families, both father and son attended college; in 31 families, neither father nor son attended college; in 12 families,..
For the mold described in (g), can you find the probability that it's COST value will exceed $150,000? If yes, obtain this probability. If no, why not?
There is no proof the new policy is more effective, but we cannot finish the policy has no effect on smog. Interpretation of P-value for the given context.
Variance of 4.2 and mean of 23.2 were calculated. Find out 95% confidence interval on mean and standard deviation. Describe any potential problems with this analysis.
Develop 3 regression models to forecast selling price based upon each of other factors individually. Which of these is best?
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