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A jewelry supplier has a supply of pairs of earrings of which 10% are platinum pairs. A jewelry store orders five sets of earrings from this supplier. 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?
Given a p-cap of 0.16, n = 100, construct a Confidence Interval of 95%. What does the Range created mean? What happends if n changes to 10? What does the new Range mean?
Let x be amount of May rainfall in local area, and suppose that x is uniformly distributed over interval three to six inches. Write down the formula for probability curve of x.
How large a sample is needed to estimate the true proportion of home owners who have vegetable gardens to within 5% with 98% confidence?
Test the following hypotheses using the Traditional Method. You must show all the steps involved and the final statement must be phrased appropriately for the problem.
Determine the probability that between 5 and 10 minutes will pass between successive occurrences.
Suppose you know that the distribution of sample proportions of nonresidents in samples of 200 students is normal with a mean of 0.04 and a standard deviation of 0.03.
Find a 90% confidence interval for the population mean salary of such personnel. What is the margin of error.
Conduct a mini-meta-analysis. There is really no such thing as a mini-meta-analysis, but you don't have time to conduct a full meta-analysis.
The company believes that it averages about the same weight per bag in each of two production lines. To test this idea, they will perform a hypothesis test to compare the two lines at the alpha level of 0.05. State the null and alternative hypothe..
Give an example for each of the following distributions, binomial, hypergeometric, and Poisson. Explain the differences and different characteristics.
Some people who bought X-game gaming systems complained about having received defective systems. The industry standard for such systems has been 98% non-defective systems.
Recent medical research demonstrated there is a strong (r=.60) correlation between the excessive weight and incidences of breast cancer. How can we interpret this statement?
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