Solve for Ethe mean of the sample data is 1246.9and standard deviation is 101.6 In an advertising campaign, a snack company claimed that every 18-ounce bag of its cookies contained at least 1000 chocolate chips. Two statisticians attempted to verify the claim. The accompanyingdata represent the number of chips in an 18-ounce bag of the company's cookies based on their study Complete parts (a) through (e)Click here to view the chocolate chip data table.Click here to view the standard normal distribution table (page 1)_Click here to view the standard normal distribution table (page 2).for the distribution of chips in a bag of cookies.A.900ObservedvalueT1200 1500 1800B.The probability is(Round to three decimal places as needed)600Observedvalue1000 1400 1800Observedvalue1000 1400 1800 2200(d) Using the normal model from part (c), find the probability that an 18-ounce bag of chips selected at random contains at least 1000 chips.The probability is 993(Round to three decimal places as needed)(e) Using the normal model from part (c), find the probability that an 18-ounce bag of chips selected at random contains between 1300 and 1400 chipsD.ObservedvalueFARE HUA900 1200 1500 1800 Chocolate Chip Data Table10831097110211181131113611371139115611641182118711971202121312161217121812211232123912441247125412661275127712921292129413021323134813591359137814001416144415181I

We have given thatMean() = 1246.9standard deviation () = 101.6

Answered: (Round to three decimal places as…

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

Solve for E

the mean of the sample data is 1246.9

and standard deviation is 101.6

In an advertising campaign, a snack company claimed that every 18-ounce bag of its cookies contained at least 1000 chocolate chips. Two statisticians attempted to verify the claim. The accompanying
data represent the number of chips in an 18-ounce bag of the company's cookies based on their study Complete parts (a) through (e)
Click here to view the chocolate chip data table.
Click here to view the standard normal distribution table (page 1)_
Click here to view the standard normal distribution table (page 2).
for the distribution of chips in a bag of cookies.
A.
900
Observed
value
T
1200 1500 1800
B.
The probability is
(Round to three decimal places as needed)
600
Observed
value
1000 1400 1800
Observed
value
1000 1400 1800 2200
(d) Using the normal model from part (c), find the probability that an 18-ounce bag of chips selected at random contains at least 1000 chips.
The probability is 993
(Round to three decimal places as needed)
(e) Using the normal model from part (c), find the probability that an 18-ounce bag of chips selected at random contains between 1300 and 1400 chips
D.
Observed
value
FARE HUA
900 1200 1500 1800

Chocolate Chip Data Table
1083
1097
1102
1118
1131
1136
1137
1139
1156
1164
1182
1187
1197
1202
1213
1216
1217
1218
1221
1232
1239
1244
1247
1254
1266
1275
1277
1292
1292
1294
1302
1323
1348
1359
1359
1378
1400
1416
1444
1518
1
I

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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