Using a sample size of 450 dogs, the confidence interval below is based on the average number of minutes a dog exercises in a day.98% confidence interval: 55 to 65 minutesWhat is the correct interpretation of this interval? 2% of the sample of dogs gets between 55 and 65 minutes of exercise. 98% of the sample of dogs get between 55 and 65 minutes of exercise. None are correct. If the sampling procedure were repeated many times, 98% of the sample means would be between 55 and 65. If the sampling procedure were repeated many times, 98% of the resulting confidence intervals would contain the population mean number of minutes of exercise.

Answered: Using a sample size of 450 dogs, the…

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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Using a sample size of 450 dogs, the confidence interval below is based on the average number of minutes a dog exercises in a day.

98% confidence interval: 55 to 65 minutes

What is the correct interpretation of this interval?

		2% of the sample of dogs gets between 55 and 65 minutes of exercise.
		98% of the sample of dogs get between 55 and 65 minutes of exercise.
		None are correct.
		If the sampling procedure were repeated many times, 98% of the sample means would be between 55 and 65.
		If the sampling procedure were repeated many times, 98% of the resulting confidence intervals would contain the population mean number of minutes of exercise.

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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