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The weights of unicorns are given have a mean of 1000 and a standard deviation of 25. What is the probability that the average weight of 25 randomly selected unicorns is less than 1012.5 pounds?
Provide a business example that you can apply regression to. State the null and alternative hypothesis using the appropriate phrasing for the type of regression chosen.
If the probability is f(x) that a product fails the xth time it is being used, that is, on the xth trial, then its failure rate at the xth trial is the probability that it will fail on the xth trial given that it has not failed on the first x - 1 ..
Find the test statistic, p-value and critical value and state a final conclusion. Sample data: n=40, mean of the values in a sample = 117, assume that the standard deviation = 14 and the significance level = 0.05
consider the height of a person as a random variable. some possible random variables include time a person wakes up in
Heights of a man distribution with a mean of 173cm and standard deviation of 5cm,using the empirical rule what is the percentage of the men between the following values.round to one decimal place
A researcher had the idea that background music might enhance performance on a math test and that the effect of music might depend on whether an individual is a music lover or not.
If current assets and current liabilities are expected to grow with sales, what amount of additional funds will Wall-E need from external sources
Write a paragraph of explanation for the supporters profile that can be understood by students who haven't studied statistics. Begin the paragraph with appropriate details about how the data were gathered.
1. of 25 members of a senior honors engineering society 18 are men and 7 are women. the advisor chooses 4 of them to be
Current dividend yield (DIV1/P0) is 6.00%, the expected price per share of the company in one year (t = 1) is closest to?
A student applying the first differences transformations in (12.29a, b) found that several values equaled zero but that the corresponding Y: values were nonzero. Does this signify that the first differences transformations are not appropriate for..
Prove that if X1 and X2 are jointly normally distributed random variables whose correlation coefficient vanishes then X1 and X2 are independent.
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