The mean incubation time of fertilized eggs is19days. Suppose the incubation times are approximately normally distributed with a standard deviation of1day.(a) Determine the13thpercentile for incubation times.(b) Determine the incubation times that make up the middle39%. LOADING...Click the icon to view a table of areas under the normal curve.(a) The13thpercentile for incubation times is1818days.(Round to the nearest whole number as needed.)(b) The incubation times that make up the middle39%arenothingtonothingdays.(Round to the nearest whole number as needed. Use ascending order.)

We define the standard random variable Z as

Answered: The mean incubation time of fertilized…

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

The mean incubation time of fertilized eggs is

days. Suppose the incubation times are approximately normally distributed with a standard deviation of

day.

(a) Determine the

13th

percentile for incubation times.

(b) Determine the incubation times that make up the middle

39%.

Click the icon to view a table of areas under the normal curve.

(a) The

13th

percentile for incubation times is

1818

days.

(Round to the nearest whole number as needed.)

(b) The incubation times that make up the middle

39%

are

nothing

days.

(Round to the nearest whole number as needed. Use ascending order.)

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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