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.

Given μ=41.6 and σ=42.6, n=146 We want to find the 53% Percentile

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

See similar textbooks

Related questions

Concept explainers

Question

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.

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.

Expert Solution

Trending now

This is a popular solution!

Step by step

Solved in 2 steps

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

$Point Estimation, Limit Theorems, Approximations, and Bounds$

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.

Similar questions