Refer to the accompanying data set of mean drive-through service times at dinner in seconds at two fast food restaurants. Construct a 90% confidence interval estimate of the mean drive-through service time for Restaurant X at dinner, then do the same for Restaurant Y. Compare the results Click the icon to view the data on drive-through service times. Construct a 90% confidence interval of the mean drive-through service times at dinner for Restaurant X O sec

Refer to the accompanying data set of mean drive-through service times at dinner in seconds at two fast food restaurants. Construct a 90% confidence interval estimate of the mean drive-through service time for Restaurant X at dinner, then do the same for Restaurant Y. Compare the results Click the icon to view the data on drive-through service times. Construct a 90% confidence interval of the mean drive-through service times at dinner for Restaurant X O sec

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

Refer to the accompanying data set of mean drive-through service times at dinner in seconds at two fast food restaurants. Construct a 90% confidence interval estimate of the mean drive-through service time for Restaurant X at dinner, then do the same for Restaurant Y. Compare the results
Click the icon to view the data on drive-through service times.
Construct a 90% confidence interval of the mean drive-through service times at dinner for Restaurant X
O sec <u<O sec
(Round to one decimal place as needed.)
Construct a 90% confidence interval of the mean drive-through service times at dinner for Restaurant Y.
Osec <u«O sec
(Round to one decimal place as needed.)
Compare the results.
O A. The confidence interval estimates for the two restaurants overlap, so there does not appear to be a significant difference between the mean dinner times at the two restaurants.
OB. The confidence interval estimates for the two restaurants do not overlap, so it appears that Restaurant X has a faster mean service time than Restaurant Y.
OC. The confidence interval estimates for the two restaurants do not overlap, so there does not appear to be a significant difference between the mean dinner times at the two restaurants.
OD. The confidence interval estimates for the two restaurants overlap, so it appears that Restaurant Xhas a faster mean service time than Restaurant Y.

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