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A certain car model has a mean gas mileage of 29 miles per gallon (mpg) with a standard deviation of 5 mpg. A pizza delivery company buys 38 of these cars. What is the probability that the average mileage of the fleet is greater thatn 27.8 mpg?
Ask them if they would be comfortable with a woman asking them out for a date. If the claim made by the study was true, what is the probability that: At most 4 men would say no?
Looking for 1-2 paragraphs per question with explanations and an example to help illustrate them. I get the basic idea of each question, but I would like something more illustrative to nail down the topics
bachelor's degrees; and of 75 male nurses, 34 had bachelor's degrees. If a nurse is selected at random, and the probability that the nurse is? A female nurse with a bachelor's degree.
exploratory data analysis.a. perform exploratory data analysis on all variables in the data set. realizing that you
A player of a video game is confronted with a series of opponents and has an 80% probability of defeating each one. Success with any opponent is independent of previous encounters. The player continues to confront opponents until defeated.
The important thing is having a reason for picking the model that you decide on. You should choose a model for overall characteristics like a high R^2 value. Y
suppose that we want to estimate the proportion of recipes in the better homes and gardens new cook book that do not
assume that the significance level is a0.05. use the given information to find the p value and the critical values.
q1. following are the total scores of three subjects of seventy four year 8 students from a highschool.10nbspnbsp 1 4 6
for a distribution of scores x40 corresponds to a z-score of z -1.00 and x 42 corresponds to a z-score of z -.50. what
The article should include a margin of error and confidence interval. Discuss the subject matter in the article, and interpret the results and what the confidence interval and margin of error mean as they apply to the specific subject matter.
When is regression used? What are the assumptions of Linear Regression? What is correlation? How does it differ from regression? What is the interpretation of the correlation coefficient?
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