A population of values has a normal distribution with μ=76.2μ=76.2 and σ=62.5σ=62.5. You intend to draw a random sample of size n=106n=106.Find P70, which is the score separating the bottom 70% scores from the top 30% scores.P70 (for single values) = Find P70, which is the mean separating the bottom 70% means from the top 30% means.P70 (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.

Name: A population of values has a normal distribution with μ=76.2μ=76.2 and
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Description: A population of values has a normal distribution with μ=76.2μ=76.2 and σ=62.5σ=62.5. You intend to draw a random sample of size n=106n=106.Find P70, which is the score separating the bottom 70% scores from the top 30% scores.P70 (for single values) =

Given: n=106, μ=76.2 and σ=62.5. a)For a single value, the z-score isz=x-μσ From the given…

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=76.2μ=76.2 and σ=62.5σ=62.5. You intend to draw a random sample of size n=106n=106.

Find P₇₀, which is the score separating the bottom 70% scores from the top 30% scores.
P₇₀ (for single values) =

Find P₇₀, which is the mean separating the bottom 70% means from the top 30% means.
P₇₀ (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.

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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