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In a manufacturing process, we are interested in measuring the average length of a certain type of bolt. Past data indicates that the standard deviation is .25 inches. How many bolts should be sampled in order to make us 95% confident that the sample mean bolt length is within .02 inches of the true mean bolt length?
If the true mean for Saturday sales is now $4500, what is the probability of accepting the (false) null hypothesis.
What is the appropriate procedure to test for a significant in different means between the 2 age groups. What is the p-value corresponding to your this answer and compute a 95% CI for the difference in means between the two groups.
Identity Probability Distributions. In this exercise, determine whether a probability distribution is given. In the case where a probability distribution is not described
Would it be appropriate to say the coefficient of determination (R-squared) is the proportion of variation in Y due to the variation within each of the categories of X?
Define the variable - the weight in pounds - it is a dependent variable. Find the mean, median, mode, variance, and standard deviation for your data.
The 30 members of an orchestra were asked how many instruments each could play. The results are set out in the frequency distribution. Calculate the mean number of instruments played:
MATH1550H: Assignment: Question: what is the least number of applicants that should be interviewed so as to have at least 50% chance of finding one such secretary?
A sample of 140 golfers showed that their average score on a particular golf course was 93.38 with a standard deviation of 4.36. Answer each of the following (show all work and state the final answer to at least two decimal places.):
"If you took 40 employees at random from the corporation, there is a pretty good chance the average number of days absent would be 12 or more. That's what happened to us-chance variation." Is this a good defense? Justify your answer.
Compute the pdf of continuous random variable Z where Z = X + Y and X is a continuous random variable uniformly distributed on [0, 2] and Y is a continuous random variable uniformly distributed on [0, 4]. Assume that X and Y are independent.
Find a 95% confidence interval for the population mean selling price of all homes in this neighborhood.
A foreman for a firm admits that on 10% of his shifts he forgets to shut off the machine. This causes the machine to overheat and the probability that a defective mold will be produced during the early morning run increases from 2% to 20%.
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