Assume that the amounts of weight that male college students gain during their freshman year are normally distributed with a mean ofμ=1.2kg and a standard deviation ofσ=4.8kg. Complete parts (a) through (c) below. Question content area bottomPart 1a. If 1 male college student is randomly selected, find the probability that he gains between0kg and3kg during freshman year. The probability is0.24490.2449.(Round to four decimal places as needed.)Part 2b. If25male college students are randomly selected, find the probability that their mean weight gain during freshman year is between0kg and3kg. The probability isenter your response here.(Round to four decimal places as needed.)

Given information- Population mean, µ = 1.2 kg Population standard deviation, σ = 4.8 kg Let, X be…

Answered: Assume that the amounts of weight that…

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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Question content area bottom

Part 1

a. If 1 male college student is randomly selected, find the probability that he gains between

kg and

kg during freshman year.

The probability is

0.24490.2449.

(Round to four decimal places as needed.)

Part 2

b. If

male college students are randomly selected, find the probability that their mean weight gain during freshman year is between

kg and

kg.

The probability is

enter your response here.

(Round to four decimal places as needed.)

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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