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1. At the certain university, average cost of books per student was 400.00 last semester. In the sample of 40 students this semsester, their average cost was 340.00 with standard deviation of 80.00. Dean of students thinks that costs are greater this semester. Determine the test value for this hypothesis
A) 15.00B) 2.37C) 0.38D) 0.75
2. Medical researcher is interested in whether patient's left arms or right arms are longer. if 14 patients participate in this study (so that n left arms and n right arms are estimated), how many degrees of freedom must researcher use in her t-test critical value suppose that variances are equal?
A) 13B) 27C) 14D)26
The hypothesis is to be tested at the 5% level of significance. The critical value from the table equals:
Suppose that the population of heights of male college students is approximately normally distributed with mean m of 69.09 inches and standard deviation s of 4.71 inches.
In study of a clinical for an allergy drug 115 of the 204 subjects reported experiencing important relief from their symptoms.
Describe the use of normal probability plot to evaluate whether a set of data is normally distributed?
Effectiveness White flies are devastating California crops. An area infested with white flies is to be sprayed with a chemical which is known to be 98% effective for each application.
Where S, A, and R are measured in dollars per week. Vanguard's marketing director is comfortable using parameter estimates that are statistically significant at the 10% level or better.
A researcher wanted to determine the mean number of hours per week (Sunday through Saturday) the typical person watches television. Results from the Sullivan Statistics Survey indicate that s=7.5 hours
Determine 95% confidence interval for the population mean, based on the sample mean.
Search the Internet to find three applications of statistical concepts that you find interesting, that you encounter on a daily basis, or that you find in your profession.
Calculate the Coefficient of Skewness and the Coefficient of Variation for time spent working on QM.
Calculate the Pearson correlation for these data also determine whether there is a significant correlation among attitudes for husbands also wives.
The data show that 48 of the doctors picked Brand X. If these data are evaluated using a chi-square test for goodness of fit, what is the expected frequency for Brand X?
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