The number of chocolate chips in an 18-ounce bag of chocolate chip cookies is approximately normally distributed with mean 1252 and standard deviation 129 chips. (a) What is the probability that a randomly selected bag contains between 1100 and 1400 chocolate chips? (b) What is the probability that a randomly selected bag contains fewer than 1100 chocolate chips? (c) What proportion of bags contains more than 1225 chocolate chips? (d) What is the percentile rank of a bag that contains 1025 chocolate chips? LOADING... Click the icon to view a table of areas under the normal curve. Question content area bottom Part 1 (a) The probability that a randomly selected bag contains between 1100 and 1400 chocolate chips is enter your response here. (Round to four decimal places as needed.) Part 2 (b) The probability that a randomly selected bag contains fewer than 1100 chocolate chips is enter your response here. (Round to four decimal places as needed.) Part 3 (c) The proportion of bags that contains more than 1225 chocolate chips is enter your response here. (Round to four decimal places as needed.) Part 4 (d) A bag that contains 1025 chocolate chips is in the enter your response hereth percentile. (Round to the nearest integer as needed.)

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) The probability that a randomly selected bag contains between

1100

and

1400

chocolate chips is

enter your response here.

(Round to four decimal places as needed.)

Part 2

(b) The probability that a randomly selected bag contains fewer than

1100

chocolate chips is

enter your response here.

(Round to four decimal places as needed.)

Part 3

1225

chocolate chips is

enter your response here.

(Round to four decimal places as needed.)

Part 4

(d) A bag that contains

1025

chocolate chips is in the

enter your response hereth

percentile.

(Round to the nearest integer 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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