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Assume that the following four examines were tested as part of a large group that had a normally curved distribution.
There were 37 students in the class.
Heather: Z = 1.05 Becky: Z = 1.10 Jerry: Z = 2.75 Sheldon: Z = .35
1. Approximately how many students in the group would score lower than Heather?
2. Approximately how many students in the group would have scored higher than Sheldon?
3. Approximately how many students in the group would have scored between Heather and Becky?
4. Which of these students probably occurred most frequently in the entire group's distribution?
Would you expect the mean absolute percentage error to be more than or less than 0.25? Describe.
Below are the sample times in minutes. At the .05 significance level, can we conclude that there is a difference in their mean times?
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?
You find that a random sample of five microwave ovens has a mean repair cost of $75 and a standard deviation of $12.50. At α = 0.01, do you have enough evidence to support the repairer's claim?
Recent actual and forecasted data for product XYZ is given in the following table.
Use population distribution to determine expected juror frequencies. Test researcher's claim at a = 0.01.
Write up your results by using scientifically recognized form.
Be sure the appropriate assumptions and conditions are satisfied before you proceed.
Determine the probability of examining a sample mean weight from any 20 women chosen from this population that is less than S (your sample mean) by using population standard deviation?
For the 20 test scores shown, find the percentile rank for a score of 86.
Enter data into SPSS (use two columns: one for coding {0, 1, 2, 3, 4, 5} and one for DV)
Probability depends on normal distribution. If a random sample of nine 18 year old men is selected illustrate what is the probability that the mean height
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