Which of the following statements is true of Group 1’s mean FIQ score?Group of answer choices:1. Group 1’s mean FIQ score is not significantly different from Group 2’s mean FIQ score2. Group 1’s mean FIQ score is significantly different from Group 2’s mean FIQ score3. Group 1’s mean FIQ score is significantly higher than Group 2’s mean FIQ score4. Group 1’s mean FIQ score is significantly lower than Group 2’s mean FIQ score5. None of the above OnewayDescriptivesWAIS-R full scale IQ95% Confidence Interval forMeanPost Hoc TestsMeanStd. DeviationStd. ErrorLower BoundUpper BoundMinimumMaximum5-25 Years185107.1511.946.878105.41108.887714626-59 YearsMultiple Comparisons380108.4012.840.659107.11109.707315060-92 Years185112.4012.052.886110.65114.1581143Dependent Variable: WAIS-R full scale IQTotal750109.0812.572459108.18109.9873150LSDMeanDifference (I-J)95% Confidence IntervalANOVA(1) Subjects age in years(J) Subjects age in yearsStd. ErrorSig.Lower Bound Upper BoundWAIS-R full scale IQSum of5-25 Years26-59 Years-1.2571.115.260-3.44.93SquaresdfMean SquareFSig.60-92 Years-5.2541.293<.001-7.79-2.72Between Groups2905.50221452.7519.398<.00126-59 Years5-25 Years1.2571.115.260-.933.44Within Groups115472.857747154.58260-92 Years-3.997"1.115<.001-6.19-1.81Total118378.35974960-92 Years5-25 Years5.2541.293<.0012.727.79ANOVA Effect Sizes26-59 Years3.9971.115<,0011.816.19Point95% Confidence Interval*. The mean difference is significant at the 0.05 level.EstimateLowerUpperWAIS-R full scale IQ Eta-squared.025.006.049Epsilon-squared.022.004.046Omega-squared Fixed-.022.004.046effectOmega-squared.011.002.024Random-effecta. Eta-squared and Epsilon-squared are estimated based on the fixed-effect model.

The provided table displays the results of Post Hoc tests conducted on different age groups' mean…

Answered: Which of the following statements is…

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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Question

Which of the following statements is true of Group 1’s mean FIQ score?

Group of answer choices:

1. Group 1’s mean FIQ score is not significantly different from Group 2’s mean FIQ score

2. Group 1’s mean FIQ score is significantly different from Group 2’s mean FIQ score

3. Group 1’s mean FIQ score is significantly higher than Group 2’s mean FIQ score

4. Group 1’s mean FIQ score is significantly lower than Group 2’s mean FIQ score

5. None of the above

Oneway
Descriptives
WAIS-R full scale IQ
95% Confidence Interval for
Mean
Post Hoc Tests
Mean
Std. Deviation
Std. Error
Lower Bound
Upper Bound
Minimum
Maximum
5-25 Years
185
107.15
11.946
.878
105.41
108.88
77
146
26-59 Years
Multiple Comparisons
380
108.40
12.840
.659
107.11
109.70
73
150
60-92 Years
185
112.40
12.052
.886
110.65
114.15
81
143
Dependent Variable: WAIS-R full scale IQ
Total
750
109.08
12.572
459
108.18
109.98
73
150
LSD
Mean
Difference (I-
J)
95% Confidence Interval
ANOVA
(1) Subjects age in years
(J) Subjects age in years
Std. Error
Sig.
Lower Bound Upper Bound
WAIS-R full scale IQ
Sum of
5-25 Years
26-59 Years
-1.257
1.115
.260
-3.44
.93
Squares
df
Mean Square
F
Sig.
60-92 Years
-5.254
1.293
<.001
-7.79
-2.72
Between Groups
2905.502
2
1452.751
9.398
<.001
26-59 Years
5-25 Years
1.257
1.115
.260
-.93
3.44
Within Groups
115472.857
747
154.582
60-92 Years
-3.997"
1.115
<.001
-6.19
-1.81
Total
118378.359
749
60-92 Years
5-25 Years
5.254
1.293
<.001
2.72
7.79
ANOVA Effect Sizes
26-59 Years
3.997
1.115
<,001
1.81
6.19
Point
95% Confidence Interval
*. The mean difference is significant at the 0.05 level.
Estimate
Lower
Upper
WAIS-R full scale IQ Eta-squared
.025
.006
.049
Epsilon-squared
.022
.004
.046
Omega-squared Fixed-
.022
.004
.046
effect
Omega-squared
.011
.002
.024
Random-effect
a. Eta-squared and Epsilon-squared are estimated based on the fixed-effect model.

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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