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In a sample of 20 men, the mean height was 178 cm. In a sample of 30 women, the mean height was 164 cm. What was the mean height for both groups put together?
Prepare a mixed integer programming model for this problem.
Given this, compute the following probabilities for demand during lead time(DDLT).
For the most recent year available the mean annual cost to attend a private university in the US was $26,889. Assume the distribution of annual costs follows a normal probability distribution and the standard deviation is $4,500. 95% of all studen..
Graph the least-squares line on your scatter diagram. Be sure to use the point (x, y) as one of the points on the line.
Assume that two samples are independent simple random samples selected from normally distributed populations. Use a 0.05 significance level to test the claim that male and female biology students speak the same mean number of words in a day.
The random variable x is known to be uniformly distributed between 70 and 90. The probability of x having a value between 80 to 95 is
For following set of scores, prepare a frequency distribution, a histogram, and a stem-and-leaf display for each variable. Also calculate the mean, the median and the standard deviation of each score.
Find out the decision strategy company must follow, expected value of strategy, and maximum amount the company must pay market research firm for survey results.
An advantage of the permutation test over the t test for a difference in means, can Permutation tests be used for tests when we believe the two populations differ under the null hypothesis.
How large a sample is required if the 97 percent level of confidence is used and the estimate is to be within $2,500? The standard deviation is $16,000.
At α = 0.10 test the claim that there is a difference in means of the salaries. (a) State the Hypotheses: (b) Compute the Test statistic: (Round off correctly)
In a large western university, 15% of the students are graduate students. If a random sample of 20 students is selected, what is the probability that the sample contains:
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