The weight of tomatoes chosen at random from a bin at the farmer’s market follows a Normal Distribution with mean u= 10 ounces and standard deviation o = 1 ounce. Suppose we pick two tomatoes at random from the bin and find their total weight T. The random T is : The weight of tomatoes chosen at randomfrom a bin at the farmer's market follows aNormal distribution with mea 10 ounceand standard deviation ơ =1oce. Supposwe pick two tomatoes at random from thebin and find their total weight T. The randorvariable T is(Hint: Think of the tomatoes as coming fromtwo different distributions.)A. Normal, with µ, = 20 ounces and a, = 1.41ounces (Go to Question #2)B.Normal, with µ, = 10 ounces and o, =ounce (Go to Question #1)%3D3DC. Normal, with u, = 20 ounces and o, = 2ounces (Go to Question #3)3D2%3DD. Normal, with u, = 10 ounces and o, = 2ounces (Go to Question #4)=D2

Answered: The weight of tomatoes chosen at random…

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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The weight of tomatoes chosen at random from a bin at the farmer’s market follows a Normal Distribution with mean u= 10 ounces and standard deviation o = 1 ounce. Suppose we pick two tomatoes at random from the bin and find their total weight T. The random T is :

The weight of tomatoes chosen at random
from a bin at the farmer's market follows a
Normal distribution with mea 10 ounce
and standard deviation ơ =1oce. Suppos
we pick two tomatoes at random from the
bin and find their total weight T. The randor
variable T is
(Hint: Think of the tomatoes as coming from
two different distributions.)
A. Normal, with µ, = 20 ounces and a, = 1.41
ounces (Go to Question #2)
B.Normal, with µ, = 10 ounces and o, =
ounce (Go to Question #1)
%3D
3D
C. Normal, with u, = 20 ounces and o, = 2
ounces (Go to Question #3)
3D2
%3D
D. Normal, with u, = 10 ounces and o, = 2
ounces (Go to Question #4)
=D2

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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