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The "average" is a commonly reported statistic. This single bit of information can be very informative or very misleading, with the mean and median being the two most commonly reported.
The mean is a useful measure, but it can be misleading. Describe a circumstance when the mean is very useful as the average and a circumstance when the mean is very misleading as the average.
Compute the appropriate Test Statistic to test null hypothesis that mean of population is 4.3 against alternative hypothesis μ ≠ 4.3.
Find out the probability that the return for common stocks will be more than 0%.
A 95% confidence interval for the proportion of all adults who bought a lottery ticket in the past year is (assume Gallup used an SRS)
At the .05 level of significance, is there evidence of a difference in variability in the shipping time between the two outlets? What decision should the carpet manufacturer make?
Then estimate demand again with a weighted moving average in which sales in the most recent year are given a weight of 2 and sales in the other two years are each given a weight of 1.
If the population standard deviation is s = 10, is the sample sufficient to demonstrate a significant effect? Again, assume a two-tailed test with a = 0.05.
Solve different inventory control problems using an appropriate OR method.
Suppose that X1,..,Xn form a random sample from the normal distribution with unknown mean M and unknown standard deviation S, and let m and s denote the MLEs of M and S. for the sample size n=17, find a value of k such that P(m > M +ks) = 0.95
It is not unusual for a battery to have life span that is more than 2470 hours as the z-score is within 2 standard deviations of mean.
You are considering adding a new food product to your store for resale. Explain how many units of the new product should be purchased for resale.
Run a multiple regression and interpret all the findings, R 2 , F, IV coefficients, and the intercept. Then in paragraph format, identify and report the following:
Number of rescue calls received by rescue squad in city follows a Poisson distribution with mu = 2.83 per day. Squad can handle at most four calls a day. Determine the probability that squad will be able to handle all calls on a particular day?
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