Answered: Let's use SPSS to run a one-sample…

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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Let's use SPSS to run a one-sample t-test! Imagine that you are interested in whether the number of hours students in a statistics course work each week differs from the average number of hours reported by the general student body at ASU. Thankfully, you have a data set that consists of information from students in a statistics course, including how many hours they work each week ("workhours"). You also happen to know that the average number of hours worked each week by the general student population at ASU is 25. Use the data provided to conduct a one sample t-test in SPSS comparing the sample data to the population mean.. The dependent variable for your test should be "workhours".

Based on your output, the average number of hours worked each week by a sample is ________ . Enter your answer rounded to two decimal places (i.e., 10.01, not 10.1, not 10.0, not 10.010).

SPSS Assignment: Trying out the t-Test
The following output shows the results of a one-sample t-test with the variable
"workhours". The test value is set to 25.
One-Sample Statistics
Std. Error
Mean
Deviation
workhours
133
23.86
16.388
1.421
One-Sample Test
Test Value = 25
95% Confidence Interval of
Sig. (2
Mean
Difference
1.
Oper
workhours
132
-1.135
-3.95
The output below shows the results of a one-sample t-test with the variable
"workhours", The test value is set to 35.
One-Sample Test
Test Value 35
95% Confidence Interval of
the Difference
Sig. (2-
SMean
Difference
Lower
Upper
IP
workhours
-7.836
-8.32
ZET
000
the questions in this assignment! Please keep in mind that you still need to watch the tutoria
he assignment instructions/questions in order to know how to interpret the output and what w

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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