Past records suggest that the mean annual income, μ1 , of teachers in state of California is less than or equal to the mean annual income, μ2 , of teachers in Oregon. In a current study, a random sample of 15 teachers from California and an independent random sample of 15 teachers from Oregon have been asked to report their mean annual income. The data obtained are as follows: Annual income in dollars California 48229, 53822, 32332, 36364, 46245, 41174, 42025, 43534, 53966, 52196, 51406, 39206, 47518, 42845, 51406 Oregon 39025, 51343, 47184, 35344, 42147, 32373, 47491, 38279, 35083, 45550, 50013, 42055, 42517, 36796, 44464 The population standard deviation for mean annual income of teachers in California and in Oregon are estimated as 6100 and 6200 , respectively. It is also known that both populations are approximately normally distributed. At the 0.01 level of significance, is there sufficient evidence to reject the claim that the mean annual income of teachers in state of California is less than or equal to the mean annual income of teachers in Oregon? Perform a one-tailed test. The null hypothesis: H0: The alternative hypothesis: H1: The type of test statistic: (Choose one)ZtChi squareF The value of the test statistic:(Round to at least three decimal places.) The p-value:(Round to at least three decimal places.) Can we reject the claim that the mean annual income of teachers from California is less than or equal to the mean annual income of teachers from Oregon? Yes No

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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Past records suggest that the mean annual income,

μ1

, of teachers in state of California is less than or equal to the mean annual income,

μ2

, of teachers in Oregon. In a current study, a random sample of

teachers from California and an independent random sample of

teachers from Oregon have been asked to report their mean annual income. The data obtained are as follows:

Annual income in dollars

California

48229, 53822, 32332, 36364, 46245, 41174, 42025, 43534, 53966, 52196, 51406, 39206, 47518, 42845, 51406

Oregon

39025, 51343, 47184, 35344, 42147, 32373, 47491, 38279, 35083, 45550, 50013, 42055, 42517, 36796, 44464

The population standard deviation for mean annual income of teachers in California and in Oregon are estimated as

6100

and

6200

, respectively. It is also known that both populations are approximately normally distributed. At the

0.01

level of significance, is there sufficient evidence to reject the claim that the mean annual income of teachers in state of California is less than or equal to the mean annual income of teachers in Oregon? Perform a one-tailed test.


The null hypothesis:	H0:
The alternative hypothesis:	H1:
The type of test statistic:	(Choose one)ZtChi squareF

The value of the test statistic: (Round to at least three decimal places.)
The p-value: (Round to at least three decimal places.)
Can we reject the claim that the mean annual income of teachers from California is less than or equal to the mean annual income of teachers from Oregon?	Yes	No

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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