note: only need the answer for the last part about assumptions HersheyKiss Weightin Oz.Zach ,a Quality Process Engineer for Hershey Chocolates, pulled 16 random kisses fromproduction and recorded their weights as shown.Zach uses the production number for each kiss inproduction to ensure that all of the kisses in production have an equal chance of being selected inhis random number generator..1618.1607.1613.1607.1610.1611.1609.1597.1586.1604.1607.1606.1611.1620.1610.1609Zach would like to be 99% confident that the customers are getting at least the amount of chocolate inounces (oz) for which they are paying. ShowZach's null and alternate hypotheses, the significance leveland how he calculates his test statistic, t. Customers expect that the average weight of a kiss is .16 ozWhat are the assumptions for the t-testcould we check? (You do not need to actually perform the check)Discuss if each of these assumptions has been met and, if not, how

The sample of 16 kisses were pulled out from production.

Zach ,a Quality Process Engineer for Hershey Chocolates, pulled 16 random kisses from production and recorded their weights as shown.Zach 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.

Zach ,a Quality Process Engineer for Hershey Chocolates, pulled 16 random kisses from production and recorded their weights as shown.Zach 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.

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

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

note: only need the answer for the last part about assumptions

Hershey
Kiss Weight
in Oz.
Zach ,a Quality Process Engineer for Hershey Chocolates, pulled 16 random kisses from
production and recorded their weights as shown.Zach 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.
.1618
.1607
.1613
.1607
.1610
.1611
.1609
.1597
.1586
.1604
.1607
.1606
.1611
.1620
.1610
.1609
Zach 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. ShowZach'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
What are the assumptions for the t-test
could we check? (You do not need to actually perform the check)
Discuss if each of these assumptions has been met and, if not, how

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