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How healthy are the employees at Direct Marketing Industry? A random sample of 14 employees was taken, and the number of days each was absent for sickness was recorded during a 1-year period. The sample mean was 6.1 days with a standard deviation of 4.3 days. Create a 95% confidence interval for the population mean days absent for sickness based on this sample. Select the answer closest to your results.
Give three logically possible directions of casualty, indicating for each direction whether it is a reasonable explanation for the correlation in light of the variables involved (and why).
Perform hypothesis testing on one variable's data.
Does the normal distribution yield a good approximation of the actual results?
Evaluate the performance of this decision.
Find the mean, median, mode, and midrange for these data.
Compute the variance and standard deviation of the number that will arrive within two days.
Determine the z values for 29 and 34 hours. What percent of the garages take between 32 hours and 34 hours to erect?
Given that P (A) = 0.7, P (B) = 0.5, and P (A B) = 0.8. Find the following probabilities:
A sample of 50 provided a sample mean of 14.15. The population standard deviation is 3.
At 95% level of confidence, can we conclude that the babies using the Gibbs product gained less weight?
Point out your final decision concerning hypothesis test and compute p-value for test.
As it is a 2 _ 2 table, try also two-tailed two-sample z test for ð1 = ð2 and verify that z2 is same as your chi-square statistic. Which test do you favour? Describe why?
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