A. Construct a 95% confidence interval estimate of the mean cost of a meal for restaurants that have summated rating of 50B. Consttruct a 95% prediction interval of the cost pf a meal for an individual restaurant that has a summated rating of 50 A magazine collected the ratings for food, decor, service and the cost per person for a sample of 96 restaurants. They combined the ratings to create a summated rating and used that to predict the cost of a restaurant meal. The data are modeled by Y₁ = -25.468 +0.9712X₁,where X; is the summated ratings and Ỹ; is meal cost. For these data, Syx = 9.372, X=61.78, and h; = 0.039170 when X = 50. Complete parts (a) through (c).a. Construct a 95% confidence interval estimate of the mean cost of a meal for restaurants that have a summated rating of 50.SHYX=x; $(Type integers or decimals. Round to three decimal places as needed. Use ascending order.)C

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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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A. Construct a 95% confidence interval estimate of the mean cost of a meal for restaurants that have summated rating of 50

B. Consttruct a 95% prediction interval of the cost pf a meal for an individual restaurant that has a summated rating of 50

A magazine collected the ratings for food, decor, service and the cost per person for a sample of 96 restaurants. They combined the ratings to create a summated rating and used that to predict the cost of a restaurant meal. The data are modeled by Y₁ = -25.468 +0.9712X₁,
where X; is the summated ratings and Ỹ; is meal cost. For these data, Syx = 9.372, X=61.78, and h; = 0.039170 when X = 50. Complete parts (a) through (c).
a. Construct a 95% confidence interval estimate of the mean cost of a meal for restaurants that have a summated rating of 50.
SHYX=x; $
(Type integers or decimals. Round to three decimal places as needed. Use ascending order.)
C

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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