A population of values has a normal distribution with μ = 198.8 and σ = 95.8. You intend to draw a random sample of size n = 235.Find the probability that a sample of size n = 235 is randomly selected with a mean greater than 206.9.P(M > 206.9) = [ ]Enter your answers as numbers accurate to 4 decimal places. Answers obtained using exact z-scores or z-scores rounded to 3 decimal places are accepted.

Suppose the variable of interest is x.It is given that; x follows normal distribution with mean of µ…

Answered: A population of values has a normal…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A population of values has a normal distribution with μ=41.6 and σ=42.6. You intend to draw a random sample of size n=146.Find P53, which is the score separating the bottom 53% scores from the top 47% scores.P53 (for single values) = Find P53, which is the mean separating the bottom 53% means from the top 47% means.P53 (for sample means) = Enter your answers as numbers accurate to 1 decimal place. Answers obtained using exact z-scores or z-scores rounded to 3 decimal places are accepted.
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A population of values has a normal distribution with u = 36 and o = 31.3. You intend to draw a random sample of size n = 12. Please answer the following questions, and show your answers to 1 decimal place. Find the value separating the bottom 11% values from the top 89% values. Find the sample mean separating the bottom 11% sample means from the top 89% sample means.
A population of values has a normal distribution with µ = 24.8 and o = 79.8. You intend to draw a random sample of size n = 142. Please answer the following questions, and show your answers to 1 decimal place. Find the value separating the bottom 10% values from the top 90% values. Find the sample mean separating the bottom 10% sample means from the top 90% sample means.
A population of values has a normal distribution with μ=179.5 and σ=47.2 You intend to draw a random sample of size n=77. Please answer the following questions, and show your answers to 1 decimal place.Find the value separating the bottom 13% values from the top 87% values. Find the sample mean separating the bottom 13% sample means from the top 87% sample means.
A population of values has a normal distribution with μ=67.9μ=67.9 and σ=44.8σ=44.8. You intend to draw a random sample of size n=17n=17.Find the probability that a single randomly selected value is greater than 94
A population of values has a normal distribution with μ=74.1μ=74.1 and σ=17.3σ=17.3. A random sample of size n=73n=73 is drawn. Find the probability that a sample of size n=73n=73 is randomly selected with a mean greater than 78.4. Round your answer to four decimal places. P(M>78.4)=P(M>78.4)=
We are given a normally distributed random variable X with µ = 75 and σ = 5. Find P (X > 85). 2.Find k such as P(X<k) = 0.997. Interpret your result. 3.Find the two values where the middle 68.27% of the distribution of X lie.
A population of values has a normal distribution with μ=94.9 and σ=63. You intend to draw a random sample of size n=189. Please show your answers as numbers accurate to at least 3 decimal places.Find the probability that a single randomly selected value is greater than 93.1. Find the probability that a sample of size n=189 is randomly selected with a mean greater than 93.1.
Roy and Jennie are looking for a company to help plan their wedding. Company A charges an amount based on the cost function, C=Vn+F, where C is the total cost, V is the variable cost, F is the fixed cost, and n is the number of people who attend the wedding. Suppose n is a random variable with a mean of 47 and a standard deviation of 8. Also V=40 and F=2500. (Round your answers to the nearest dollar.) (a) What is the mean for the total cost? (b) What is the standard deviation for the total cost?
The probability of a given score range is 0.4821. The bottom of the score range is the average (z=0). What is the z-score for the upper end of the distribution?
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