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You are provided with the heights of male and female participants:
Male Female 64.00 67.00 72.00 62.00 71.00 61.00 71.00 61.00 69.00 65.00 67.00 64.00 69.00 63.00 75.00 64.00
Using the above database, compute a t-test comparing males' and females' heights. You must determine which type of t-test to compute. Write a short interpretation of the results.
A safety engineer claims that only 40% of all workers wear safety helmets when they eat lunch at the workplace. Assuming that his claim is right, find the probability that at most 4 out of 6 workers randomly chosen will be wearing their helmets wh..
Determine the typical seasonal patterns for sales using the ratio-to-moving-average method. Project the sales for 2004, and then seasonally adjust each quarter.
After performing a two sample t-test, you see a p-value of 0.0355. Of the following, which is the appropriate conclusion?
Millie and Senta Meter have recently taken Pre and Post test in achievement. The test were normally distributed. Millie's percentile rank changed from 57.93 to 77.34. Senta's changed from 1.07 to 4.95.
A sample of 12 homes sold last week in St Paul, Minnesota, is selected. The results are shown below and create a scatterplot. Insert the trendline into the graph and show the regression equation.
Using What's Best! (or Solver) determine the least-cost shipping schedule, where each of three (3) hardware vendors provide up to two hundred (200) units and each of six (6) buyers demand one hundred (100) units.
Conduct post hoc comparisons with the LSD method. Which groups differ significantly at α = 0.05?
a) Compute a 95% Confidence Interval for the true population proportion of successes. b) Based on this analysis can you conclude that the new system meets the requirement? Explain your conclusion.
Using the original data, estimate the population standard deviation with 90% probability.
A contractor developed a multiplicative time series model to predict the number of contracts in future quarters, using quarterly data on number of contracts during the 3-year period from 1996 to 1998.
Suppose that Total Revenue = 200Q and Total Cost = 80 + 50Q where Q, the quantity sold, is a random variable with expected value 20 and variance 4.
You took the standard deviation of 4.5 minutes from a commuting friend and believe that that is the standard deviation for the area. Prepare a 95% confidence interval for the true average commuting time.
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