Independent random samples were selected from population 1 and population 2. The following information was obtained from these samples: Population 1Population 2Sample Size 3838Sample Mean24.322.9Sample Std. Deviation 3.83.3 b) Can you be 95% confident that there is a difference in the means of the two populations?

Use the independent two sample t test

Answered: Independent random samples were…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section: Chapter Questions

Problem 8SGR

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Independent random samples were selected from population 1 and population 2. The following information was obtained from these samples:

	Population 1	Population 2
Sample Size	38	38
Sample Mean	24.3	22.9
Sample Std. Deviation	3.8	3.3

b) Can you be 95% confident that there is a difference in the means of the two populations?

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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