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Let X denote the number of times a certain numerical control machine will malfunction: 1, 2, or 3 times on any given day. Let Y denote the number of times a technician is called on an emergency call. Their joint probability distribution is given as
a) Evaluate the marginal distribution of X.
b) Evaluate the marginal distribution of V.
c) Find P(Y = 3 | X = 2).
If these answers were combined into single statistic, how could we explain sample space? Mention how many elements are in sample space?
Be certain to mention what inferential statistics is and why we use it, what is random sampling, which is statistical significance and why we test it.
Give a brief definition and an example of the following: a. Descriptive Statistics b. Inferential Statistics
Explain a scenario associated to final project in which you would utilize repeated-measures ANOVA. Explain a scenario associated to final project in which you would use MANOVA.
A random sample of n = 4 scores is selected from a population with µ = 80 and σ = 20. On average, how much difference would you expect between the sample mean and the population mean?
Record the tumor grade and whether the patient was still alive one year after surgery. University Hospital County Hospital Private Hospital Which hospital has the best record?
In the simplest way possible can some one provide me with the steps to find the square root of a number like 11.0554 that is not a perfect square.
For monthly volume of 300 tables, find out total cost, total revenue and profit.
If 15 golfers check in using this process, the expected number of players who will actually show up is ______; the variance for the number of players who actually show up is ______?
test the hypothesis that the mean μ = 100 against the alternative μ ≠ 100. Find the type II probability when the true mean heat evolved is 103.
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:
Does the normal distribution yield a good approximation of the actual results?
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