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I would be grateful if someone could explain to me how to use the chi-squared test to determine whether two sets of random variables generated using the random function on a computer are independent.
In other words, could you generate two sets of random numbers (of length, say, 50) and set out the calculations in detail to determine whether the random variables are independent using chi-squared.
Determine a 90% confidence interval for the mean weight of all university male first-year students.
A five-star hotel accepts 100 room reservations daily. For each reservation accepted, there is a 7% chance that the guest will not arrive.
It takes between 6 to 7.5 hours to drive from Panama City to Boquete, and the drive time is uniformly distributed.
Consider the following two economic characteristics with two possible outcomes each: employment (increase, decrease) and economic trend (positive, negative).
What is the value of the coefficient of Blue Collar in your equation? What is the lower limit of the 95% CI for this coefficient? What is the upper limit of the 95% CI for this coefficient?
For each, draw the histogram of the sampling distribution of bar(y). Which sampling distribution has the smaller variance, and why?
Find the best point estimate of the mean salary of all NCAA football coaches.
Suppose that 50 identical batteries are being tested. After 8 hours of continuous use, assume that a given battery is still operating with a probability of 0.70 and has failed with a probability of 0.30.
A frequency distribution was developed. The lower endpoint of the first class is 9.30, and the midpoint is 9.35. what is the upper endpoint of this class?
There are 8 members on the board of directors. If the board must form a committee of 6 members, how many different ways may the committee be selected from among the 8 board members?
P(A 1 )= .20, P(A 2 ), and P(A 3 )= .40. P(B 1 I A 1 ) = .25. P(B 1 I A 2 ) = .05. P(B 1 I A 3 )=.10. Use Bayes' theorem to determine P(A 3 I B 1 )
The random variable x has a normal distribution with mean=30 and standard deviation=30, find the probability that x assumes a value more than two standard deviations from its mean. more than three standard deviations from the mean.
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