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Q1) Which of following is valid probability value for discrete random variable?
a) 0.22
b) 1.01
c) -.75
d) All of the above
e) None of the above
Q2) The J.O. Supplies Company purchases calculators from Korean supplier. Probability of defective calculator is 10%. If 15 calculators are chosen at random, determine the probability that 3 or more of calculators will be defective?
Q3) Of all individual tax returns, 37% include errors made by taxpayer. If IRS examiners are allotted randomly selected returns in batches of 12, determine mean and standard deviation for number of erroneous returns per batch.
a) µ=2.80, σ=1.67
b) µ =4.44, σ =1.67
c) µ =4.44, σ =2.80
d) µ =2.80, σ =2.10
Q4) Assume that airplane engine will fail, when in flight, with probability 1-p independently from engine to engine; assume that airplane will make a successful flight if at least 50% of its engines remain operative. For what values of p four-engine plane is preferable to two-engine plane? Describe your selection for probability distribution.
At 0.05 level of significance, is there evidence that proportion of claims processed under this new system is higher than article reported for previous system?
Construct appropriate control charts for before and after introduction of the new pathway. Discuss process stability and the results.
If the basket ball player is a 74% free throw shooter, then, on average, how many free throws will he or she make in a game with eight free throw attempts?
The average age of the students in the sample was 23 with a standard deviation of 3.5: a) Formulate the hypotheses for this problem.
Find the probability that a women develops breast cancer given that she has a family history of breast cancer._____________
What kind of statistical test best did you use?
Explain the logic of what you have done, writing as if you are speaking to someone who has never heard of correlation (but who does understand the mean, deviation scores, and hypothesis testing);
Find the value for the correlation coefficient r.
Find out sample correlation coefficients of (I) age with dry weight, and (2) age with log 10 dry weight. Interpret your results.
What would you recommend Taylor do to cut back its labor cost? (Illustrate using an ABC plan.)
How large a sample would be necessary to estimate the population proportion with a margin of error of 0.05 at 95% confidence?
Some of the factors affect statistical power for a one sample t test. How does statistical power change (increase or decrease) for each of the following changes?
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