Solve the following. Show your complete solution.The in-city gasoline mileage per gallon was computed for two economy automobiles, each for 40 tanks of gasoline. The mean and standard deviation of the mile per gallon readings were given in the following table. Find a 90% confidence interval for the difference in mean miles per gallon for the two automobiles. Interpret your result. The in-city gasoline mileage per gallon was computed for two economy automobiles, each for 40tanks of gasoline. The mean and standard deviation of the mile per gallon readings were given inthe following table. Find a 90% confidence interval for the difference in mean miles per gallon forthe two automobiles. Interpret your result.Automobile 1X₁= 22.3S₁ = 1.1Automobile 2X₂= 25.1$₂=1.3

From the provided information, n1=40x1=22.3s1=1.1n2=40x2=25.1s2=1.3 Confidence level = 90%

Answered: The in-city gasoline mileage per gallon…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Question

Solve the following. Show your complete solution. The in-city gasoline mileage per gallon was computed for two economy automobiles, each for 40 tanks of gasoline. The mean and standard deviation of the mile per gallon readings were given in the following table. Find a 90% confidence interval for the difference in mean miles per gallon for the two automobiles. Interpret your result.

The in-city gasoline mileage per gallon was computed for two economy automobiles, each for 40
tanks of gasoline. The mean and standard deviation of the mile per gallon readings were given in
the following table. Find a 90% confidence interval for the difference in mean miles per gallon for
the two automobiles. Interpret your result.
Automobile 1
X₁= 22.3
S₁ = 1.1
Automobile 2
X₂= 25.1
$₂=1.3

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 + ...

Expert Solution