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Suppose a study is constructed to test a claim, at a 0.05 signifigance level that a population proportion is 40%.
A simple random sample of 750 subjects has a proportion of 42%.
Determine the test statistic, critical value z = + or -, determine the p value.
Compute the probability which we will get the sample mean greater than 21; which is , compute P(x > 21). Compute the probability that we will get the sample mean less than 19.385; that is, compute P(x
The post anesthesia care area (recovery room) at St. Luke's Hospital in Maumee, Ohio was recently enlarged. The hope was that with the enlargement the mean number of patients per day would be more than 25.
Mean score on 10 item test for all students enrolled in a Traditional course was 9.64. A random sample of 41 students in Project Course is given same test
1. What do discrete random variables describe? 2. Explain joint probability. 3. Explain conditional probability.
Carry out a test of hypothesis on each of regression coefficients. Could you delete any of the variables?
Calculate the control limits for a c chart when Ubar = 3.0%, n = 60, and you collect one sample per hour for 40 hours of production. (2 sets of control limits required, x bar and range)
A 6-sided die is rolled and depending on the result a ball is then chosen from one of three boxes. If the roll results in a 1 a ball is drawn from box A
A medical school claims that more than 28% of its students plan to go into general practice. It is found that among a random sample of 130 of the school's students, 32% of them plan to go into general practice. Find the P-value for a test of the s..
Utilizing a binominal experiment, that is each trail can be reduced to two outcomes, construct a binomial distribution.
Critically discuss some reasons that business outputs vary? For example why does production output vary? Explain the difference between common causes of variation and special causes of variation.
From the given probability distribution finite the mean and standard deviation.
Probability using discrete distribution.The probability distribution for the random variable x follows.
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