Present the results using APA format. What does the conclusions mean in general terms? Statistics Viewernsform InsertFormat Analyze Graphs Utilities Extensions WindowHelpT-TestGroup StatisticsmMeanStd. Deviation Std Error MeangenderSalary1 male216216.28571003.26159218.92963female214190.4286813.48175177.51627Independent Samples Testt-test for Equality of MeansLevene's Test for Equality of VariancesSignificanceStd ErrorOne-Sided p Two-Sided p Mean Difference2025.85714DifferencedfSig190F281 85494<001<0017 1887. 18840Salary1 Equal variances assumed1.774< 0012025 85714281 8549438 362<001Equal variances not assumedIndependent Samples Effect Sizes95% Confidence IntervalUpnerLowerStandardizeraUnicode ON Classic H 5.24, W 8.89 inPoint EstimateS:59 PMIBM SPSS Statistics Prsessor is ready79°F3/4/2022(Σ)here to search

Introduction: The results of an independent samples t-test are given

Answered: T-Test Group Statistics gender Salary1…

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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Present the results using APA format. What does the conclusions mean in general terms?

Statistics Viewer
nsform Insert
Format Analyze Graphs Utilities Extensions Window
Help
T-Test
Group Statistics
m
Mean
Std. Deviation Std Error Mean
gender
Salary1 male
21
6216.2857
1003.26159
218.92963
female
21
4190.4286
813.48175
177.51627
Independent Samples Test
t-test for Equality of Means
Levene's Test for Equality of Variances
Significance
Std Error
One-Sided p Two-Sided p Mean Difference
2025.85714
Difference
df
Sig
190
F
281 85494
<001
<001
7 188
7. 188
40
Salary1 Equal variances assumed
1.774
< 001
2025 85714
281 85494
38 362
<001
Equal variances not assumed
Independent Samples Effect Sizes
95% Confidence Interval
Upner
Lower
Standardizera
Unicode ON Classic H 5.24, W 8.89 in
Point Estimate
S:59 PM
IBM SPSS Statistics Prsessor is ready
79°F
3/4/2022
(Σ)
here to search

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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