1.Jason, a Quality Process Engineer'for Hershey Chocolates, pulled 16 random kisses from production and recorded their weights as shown. Jason uses the production number for each kiss in production to ensure that all of the kisses in production have an equal chance of being selected in his random number generator. Hershey Kiss Weight in Oz. 1618 1607 1613 1607 1610 1611. 1609 1597 1586 1604 1607 1606 1611 1620 1610 1609 D: Jason would like to be 99% confident that the customers are getting at least the amount of chocolate in ounces (oz) for which they are paying. Show Jason's null and alternate hypotheses, the significance level and how he calculates his test statistic, t. Customers expect that the average weight of a kiss is .16 oz E: What are the assumptions for the t-test in part D ? Discuss if each of these assumptions has been met and, if not, how could we check ? (You do not need to actually perform the check for the purposes of this exam.) F: Shall Jason assume that today's chocolate is heavy enough or shall he add kisses to each bag ? (Interpret the hypothesis test in part D.

1.Jason, a Quality Process Engineer'for Hershey Chocolates, pulled 16 random kisses from production and recorded their weights as shown. Jason uses the production number for each kiss in production to ensure that all of the kisses in production have an equal chance of being selected in his random number generator. Hershey Kiss Weight in Oz. 1618 1607 1613 1607 1610 1611. 1609 1597 1586 1604 1607 1606 1611 1620 1610 1609 D: Jason would like to be 99% confident that the customers are getting at least the amount of chocolate in ounces (oz) for which they are paying. Show Jason's null and alternate hypotheses, the significance level and how he calculates his test statistic, t. Customers expect that the average weight of a kiss is .16 oz E: What are the assumptions for the t-test in part D ? Discuss if each of these assumptions has been met and, if not, how could we check ? (You do not need to actually perform the check for the purposes of this exam.) F: Shall Jason assume that today's chocolate is heavy enough or shall he add kisses to each bag ? (Interpret the hypothesis test in part D.

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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Concept explainers

Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.

Question

1.Jason, a Quality Process Engineer'for Hershey Chocolates, pulled 16 random kisses from
production and recorded their weights as shown. Jason uses the production number for each
kiss in production to ensure that all of the kisses in production have an equal chance of being
selected in his random number generator.
Hershey
Kiss Weight
in Oz.
.1618
1607
1613
1607
1610
1611
1609
1597
1586
1604
1607
1606
1611
1620
1610
1609
D: Jason would like to be 99% confident that the customers are getting at least the amount of
chocolate in ounces (oz) for which they are paying. Show Jason's null and alternate
hypotheses, the significance level and how he calculates his test statistic, t. Customers expect
that the average weight of a kiss is .16 oz
E: What are the assumptions for the t-test in part D ? Discuss if each of these assumptions has
been met and, if not, how could we check ? (You do not need to actually perform the check for
the purposes of this exam.)
F: Shall Jason assume that today's chocolate is heavy enough or shall he add kisses to each
bag ? (Interpret the hypothesis test in part D.

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