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Consider the following sample data: 9.37, 13.04, 11.69, 8.21, 11.18, 10.41, 13.15, 11.51, 13.21, and 7.75. Is it reasonable to assume that this data is a sample from a normal distribution? Is there evidence to support a claim that the mean of the population is 10?
Do these data provide sufficient evidence to reject the claim made by Creative Good? Two sample F-test for the ratio of population variances
The time a cashier spends processing individual customer's order are independent random variables with mean 2.5 minute and standard deviation of 2.
Looking for a good original (yet cited) response to this definition. And if you can describe two common ones with an example for each that would be great.
RMS, Inc. produces three raw materials that are blended together (mixed together) to produce two products: a fuel additive and a solvent base.
a. Include a screen shot of your parent population and your two distributions of sample means here. b. How are your two distributions of sample means similar? How are they different?
Two impendent samples of signs 9 and 8 gave the sum of squares of deviation from their respective means as 160 and 91 can the samples be regarded as drawn from the normal population with equal variance
Let N(t) be the number of telephone calls received at an exchange in the interval [0,t]. We suppose that {N(t) t ≥ 0} is a Poisson process with rate λ = 10 per hour.
A student is selected at random from the class. What is the probability that the student is both a junior and an economics major?
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.
Calculate x2, s2 and s for the expense data. Show that the two different formulas for calculating s2 give the same result.
We have already been introduced to sensitivity analysis via the geometry of a simple example. We saw that the values of the decision variables and those of the slack and surplus variables remain unchanged even though some coefficients in the objec..
If the Pearson Correlation is 0.18, what do we get, what is the value called, and what does it tell us?
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