According to the chart below how do you find a 95% confidence interval for the mean miles per gallon for this vehicle? ardcdn.com/blackboard.learn.xythos.prod/5a32badd47960/4485055?X-Blackboard-Expiration=1613444-2 / 2100%4. Computers in some vehicles calculate various quantities related to performance. One of these is fuelefficiency, or gas mileage, usually expresses as miles per gallon (mpg). For one vehicle equipped in thisthe milesway,per gallon were recorded each time the gas tank filled, and the computer was then reset.Here are the mpg values for a random sample of 20 of these records:41.550.736.637.334.245.048.043.247.742.243.244.648.446.446.839.937.343.544.343.3Find a 95% confidence interval for u, the mean miles per gallon for this vehicle.

From the provided sample observations, Mean miles per gallon (μ)=∑Xin ,where Xi is the…

Answered: 4. Computers in some vehicles calculate…

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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According to the chart below how do you find a 95% confidence interval for the mean miles per gallon for this vehicle?

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2 / 2
100%
4. Computers in some vehicles calculate various quantities related to performance. One of these is fuel
efficiency, or gas mileage, usually expresses as miles per gallon (mpg). For one vehicle equipped in this
the miles
way,
per gallon were recorded each time the gas tank filled, and the computer was then reset.
Here are the mpg values for a random sample of 20 of these records:
41.5
50.7
36.6
37.3
34.2
45.0
48.0
43.2
47.7
42.2
43.2
44.6
48.4
46.4
46.8
39.9
37.3
43.5
44.3
43.3
Find a 95% confidence interval for u, the mean miles per gallon for this vehicle.

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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