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 A. If the chocolate is too heavy, Jason will need to pay Hershey's distributor a small overage fee. Test again at the a =.01 level of significance whether or not the chocolate is on weight or heavy. Assuming a null hypothesis that the chocolate is on weight (µ = .16 oz) versus the alternate hypothesis that it is overweight (u > .16 oz), set up the hypothesis and test using a one sample t-test. Show the t-score. Interpret the p-value. Assuming that the sample is normal and random, does production need to pay an overage to the distributor ?

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 A. If the chocolate is too heavy, Jason will need to pay Hershey's distributor a small overage fee. Test again at the a =.01 level of significance whether or not the chocolate is on weight or heavy. Assuming a null hypothesis that the chocolate is on weight (µ = .16 oz) versus the alternate hypothesis that it is overweight (u > .16 oz), set up the hypothesis and test using a one sample t-test. Show the t-score. Interpret the p-value. Assuming that the sample is normal and random, does production need to pay an overage to the distributor ?

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

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
A. If the chocolate is too heavy, Jason will need to pay Hershey's distributor a small overage
fee. Test again at the a =.01 level of significance whether or not the chocolate is on weight or
heavy. Assuming a null hypothesis that the chocolate is on weight (u = .16 oz) versus the
alternate hypothesis that it is overweight (u > .16 oz), set up the hypothesis and test using a one
sample t-test. Show the t-score. Interpret the p-value. Assuming that the sample is normal and
random, does production need to pay an overage to the distributor ?

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