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The length of the snake Vipera bertis (X), measured in centimeters, is assumed to be normally distrubuited with mean 63 and variance 22. The weight (Y) is measured on grams, can be calculated by using Y= -300 + 7x. a) Compute the probability that the length of a randomly selected snake is less than 53 centimers. b) Identify the name of the distribution and parameters for Y. c) Calculate c such that P(|Y- 141|) > .204 For a) I got P(Z> 10/sqrt(22)) = .0166 For b) I said the distrubution is standard normal and Y~N(741,1078) For c) I'm not sure how to do. I got P(c- 600/ sqrt(1078) < Z < -c - 600/sqrt(1078))
Comment on the production control situations depicted by the four control charts shown on the following page, and state what action, if any, would be necessary in each case.
1 labforensic collection and analysis of persistent datawrite up your lab experience including the necessary steps
What is the probability in the sample?
Carry out a validation study, an I/O psychologist is developing a regression equation from data collected from those hired two years ago.
Where y∗i = a1 · yi + a2, for i = 1, ..., n, and a1 and a2 are known positive constants?
what is the point estimate for the mean hospital cost for victims who wore seat belts and construct and interpret 99percent conf interval estimate for the mean hospital costs for accident victims who wore seatbelts.
Write your own newspaper article for the study with at least one appropriate table or graph.
1. a university has been tracking the percentage of alumni giving to its annual fund each for the past 10 years. the
Calculate the regression equation for this data
The expected value is within one standard deviation of themean(so you must calculate both the standard deviation and expected value for your game).
A worker at Disneyworld in Orlando is assigned the task of getting 100 guests to complete a survey about their experience at the park. Suppose each individual guest that the worker asks will agree to complete the survey with a probability of 0..
Plot each of the predictors against the response. Plot the predictors against each other. The purpose here is to get a graphical idea of the relationships in the data.
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