STATISTICS.docx - Google Docs+A docs.google.com/document/d/1Xgqq34HC4kub_OY7HprnxliVKF2wTIZI/editeconds agoВ IU AE E11++1I 16I 77. A distribution is given with random variables X = 5, 6, 7, 8, 9. The probabilities are asfollows; P(5) =0.2, P(6)=0.25, P(7)=0.38, P(8)=0.1, P(9)=0.07.Find the mean, variance, and standard deviation of this distribution.3:20 AMP Type here to searchW36°F Mostly clear12/15/2021II!!!IIlilı

From the given information, X=5,6,7,8,9 P(5)=0.2 P(6)=0.25 P(7)=0.38 P(8)=0.1 P(9)=0.07 That is,…

Answered: 7. A distribution is given with random…

MATLAB: An Introduction with Applications

6th Edition

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Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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The average grade in an exam is 68 and the standard deviation is 8. A grade (C) will be given between 45% and 64% of the grades received by the students. Find the required grade for the student to get (C). (Assume that the distribution of the notes is normally distributed.)
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The average grade in an exam is (65 + N) and the standard deviation is 8. A grade (C) will be given between 45% and 64% of the grades received by the students. Find the required grade for the student to get (C). (Assume that the distribution of the notes is normally distributed.)
Gas mileage of vehicles follows a normal curve. A Ford Escape claims to get 25 mpg highway, with a standard deviation of 1.6 mpg. A Ford Escape is selected at random. (a) What is the probability that it will get more than 28 mpg? 1b. Suppose the test scores among a set of first year nursing students are normally distributed with a mean of 500 and a standard deviation of 100. If a student nurse scores a 700, what would be her z-score?
When should a s distribution be used? When there are how many cases in a sample? When should a t distribution be used? When there are how many cases in a sample?
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7. A distribution is given with random variables X = 5, 6, 7, 8, 9. The probabilities are as follows; P(5) =0.2, P(6)=0.25, P(7)=0.38, P(8)=0.1, P(9)=0.07. Find the mean, variance, and standard deviation of this distribution.