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To decrease the amount of time it takes to deliver packages, a delivery company purchased computer software that finds the optimal route for making deliveries based upon the input of the package destinations. In the past the average amount of time it took to complete deliveries was 9.4 hours with a standard deviation of 0.8 hours. Since purchasing the software the average delivery time over twenty delivery days was 8.6 hours. At the 0.05 level of significance, test whether the software package has reduced the average time it takes to complete deliveries.
A random sample of 16 ages is drawn from the population, and we find the sample mean of these observations to be μ = 8.76. What is the value of the test statistic?
Explain in words general pattern of correlation is statistically important.
Find out the mean, median and mode for the given data
What is the probability that a student who has failed the test came from the South District?
Plot the control limits for the mean outside diameter and the range.
At.01 significance level, is there difference in mean number of times men and women order take-out dinners in month? Determine the p -value?
Hypothesis test for the difference between two means - To make the data comparable, certain features, such as the deductible amount and limits of liability, are standardized.
Find the sample mean and sample standard deviation for the amount of unspent money returned at the end of the day.
Random number generation based on discrete distribution and evaluate the average queue length, waiting time, and percentage utilization for each system.
Advertisers need to know which age groups are likely to see their ads. Purchasers of 120 copies of Cosmopolitan are shown by age group Perform the chi-square test for a uniform distribution at α = .01
Discuss how to perform a test of hypothesis to determine whether the variances of two populations are equal. Include a discusssion of why the larger sample variance is placed in the numerator in the Test Statistic for comparing two variances.
Sketch density curves that might explain distributions with fallowing shapes: symmetric, but with two peaks( i.e., two strong clusters of observations)
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