1) Is the test significant?A. Unable to determineB. No, p = .448C. Yes, p = <. 001D. Yes, p = .448 2) In order to determine where the main mean differences lie, the researcher would also need to conduct a ____?A. CorrelationB. MANOVAC. post-hoc analysisD. t-test Researchers examined whether playingmotion-sensing versus non-motionsensing games would affect hostility.Participants were randomly assigned toone of four conditions: motion aggressivegame (boxing), motion non-aggressivegame (rafting), non-motion aggressivegame (boxing/control), and non-motionnon-aggressive game (uno/control).Participants played the game and werethen asked to fill in a 20-item wordfragment task (for example, the wordfragment h_t could be completed as hitor hat).Tests of Between-Subjects EffectsDependent Variable: number of aggressive wordsSourceType II Sum ofdfMean SquareSig.Partial EtaSquares312.887SquaredCorrected ModelInterceptCondition3104.29620.262.0004483637.74713637.747706.725.000.904312.8873104.29620.262.000448Error386.050755.147Total4295.00079Corrected Total698.93778a. R Squared = .448 (Adjusted R Squared = 426)

Given that Test analysed table is given We have to answer the following questions : 1) Is the…

Answered: 1) Is the test significant? A. Unable…

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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Related questions

Question

1) Is the test significant?

A. Unable to determine

B. No, p = .448

C. Yes, p = <. 001

D. Yes, p = .448

2) In order to determine where the main mean differences lie, the researcher would also need to conduct a ____?

A. Correlation

B. MANOVA

C. post-hoc analysis

D. t-test

Researchers examined whether playing
motion-sensing versus non-motion
sensing games would affect hostility.
Participants were randomly assigned to
one of four conditions: motion aggressive
game (boxing), motion non-aggressive
game (rafting), non-motion aggressive
game (boxing/control), and non-motion
non-aggressive game (uno/control).
Participants played the game and were
then asked to fill in a 20-item word
fragment task (for example, the word
fragment h_t could be completed as hit
or hat).
Tests of Between-Subjects Effects
Dependent Variable: number of aggressive words
Source
Type II Sum of
df
Mean Square
Sig.
Partial Eta
Squares
312.887
Squared
Corrected Model
Intercept
Condition
3
104.296
20.262
.000
448
3637.747
1
3637.747
706.725
.000
.904
312.887
3
104.296
20.262
.000
448
Error
386.050
75
5.147
Total
4295.000
79
Corrected Total
698.937
78
a. R Squared = .448 (Adjusted R Squared = 426)

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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