Below are the SPSS results of a one-sample t-test. Use the SPSS results to answer Questions 3 and 4.One-Sample Statistics NMeanStd. DeviationStd. Error MeanIncrFed$, 11 prgms11395.5762.453( a ) One-Sample Test Test Value = 5tdfSig. (2-tailed)Mean Difference95% Confidence Interval of the DifferenceLowerUpperIncrFed$, 11 prgms( b )( c ).0005.576.4333.7186Replace “a,” “b,” and “c” in the tables above with the correct values. (Note that the population mean is 5.) Round to the third decimal place.At the .05 level of significance (two-tailed test), do we reject the null hypothesis?

Let xi; (i=1,2,...,n) be the random sample of size n from the normal population with mean μ and…

Answered: Below are the SPSS results of a…

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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Below are the SPSS results of a one-sample t-test. Use the SPSS results to answer Questions 3 and 4.

One-Sample Statistics
	N	Mean	Std. Deviation	Std. Error Mean
IncrFed$, 11 prgms	1139	5.576	2.453	( a )

One-Sample Test
	Test Value = 5
t	df	Sig. (2-tailed)	Mean Difference	95% Confidence Interval of the Difference
Lower	Upper
IncrFed$, 11 prgms	( b )	( c )	.000	5.576	.4333	.7186

Replace “a,” “b,” and “c” in the tables above with the correct values. (Note that the population mean is 5.) Round to the third decimal place.

At the .05 level of significance (two-tailed test), do we reject the null hypothesis?

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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