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A researcher conducted a study that examined the proportion of high school students who cheated on tests at least twice during the past year. Included in that study were the results for both 2002 and 2004. A reported 9054 out of 24,142 students said they cheated at least twice in 2004. A reported 5784 out of 12,121 students said they cheated at least twice in 2002.
a. Provide an estimate for the difference between these two proportions.
b. Provide a 90% confidence interval for the difference between these two proportions.
find the value of the test statistic z in the given situation. the claim is that less that 12 of all adults in the us
A coin was flipped 100 times and came up heads 59 times and tails 41 times. The expected outcome was to land on heads or tails 50 times each.
Assume that the event "Mary takes Mathematics 23 and Government 35" is more likely than the event "Mary takes Mathematics 23." Why are we not making this fallacy here?
The company has evidence that its line produces %0.9 of noncorforming items. What is the probability that an item selected for inspection is classified as defective?
Use regression analysis to investigate the relationship between value and income. Discuss your findings. Use regression analysis to investigate the relationship between value and revenue. Discuss your findings.
Suppose that 245 such companies are selected independently and at random. What is the probability that 191 companies in the sample electronically monitor their employees?
Also, the sample data appear to have a bell-shaped distribution. Construct the 95% confidence interval for the mean time spent on paperwork by all managers.
A sample of 420 families revealed the following. At the 0.05 significance level, is there a difference in the proportion of customers that prefer each day of the week?
If the supplier selects the pairs of earrings at random, what is the chance that the jewelry store gets exactly two sets of platinum pairs?
Are there any high leverage points or extraordinarily influential points? Briefly justify your answer. I. The Variance inflation factors are below. Are there any problems of multicollinearity?
The reason why we finish our calculation by dividing range by 4 is that in most data sets 95% of the data values fall within two standard deviations of the mean.
A local grocery store wants to estimate the mean daily number of gallons of milk sold to customers. Assume the number of gallons sold follows the normal distribution with a population standard deviation of 5.10 gallons.
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