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The following data represent scores of 50 students in the applied business statistics test.
72 72 93 70 59 78 74 65 73 8057 67 72 57 83 76 74 56 68 6774 76 79 72 61 72 73 76 67 4971 53 67 65 100 83 69 61 72 6865 51 75 68 75 66 77 61 64 74
a. Prepare the frequency distribution table and the frequency histogram for this data set.
b. Compute the sample mean, sample median X(M), sample range, and sample variance.
c. Does the data set represent a sample or a population? If it is a sample, describe the population from which it has been drawn.
For a sample of 11 independent observations from a normal distribution of unknown μ and unknown variance σ 2 , the sample mean is 74.6 and sample variance is 2.2. What is the lower point of the 90% confidence interval for μ?
What maximum variance of the raw score population could you have and still be able to reject the null hypothesis of μ = 20 (α = .05), if the sample size is 100 and the sample mean is 22?
Prepare tables of descriptive statistics (mean, median, Quartiles, IQR, and Standard Deviation) by firm for net profit margin (PROFITS). Discuss.
Plot the control limits for the mean outside diameter and the range.
How many days should be considered if a 95 percent confidence is used and the estimate is to be within one hundred dollars?
Select the level of significance, and determine critical, ZCR value.
the population mean of monthly wages of all college graduates under age of 30. Interpret your answer in the context of the problem.
What is the distribution of X? State its mean and variance.
Paul has calculated the indifference probability for the lottery having a payoff of $160K with probability p and -$80K with probability (1-p) as follows:
Recognize and describe potential threats (up to 3) to internal validity.
Identify the type of sampling (random, systematic, convenience, stratified, cluster) used when a sample of people who smoke is obtained as described below.
The hypothesis is to be tested at the 5% level of significance. The critical value from the table equals:
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