Writhe hypothesis test and the measure of effect sizewould appear in a research report.с.utcomeExercise GroStride Lengteffectmore likely to cheat than their less creative coun-terparts (Gino and Ariely, 2012). Participants in thestudy first completed creativity assessment question-naires and then returned to the lab several days laterfor a series of tasks. One task was ageneral knowledge test for which the participantscircled their answers on the test sheet. Afterward,they were asked to transfer their answers to a bubblesheets for computer scoring. However, the experi-11. Recent research has shown that creative people are222524ffect211726ord-241922Kersh2528tored23multiple-choiceen andandDo the results irty.ingffectstride length forwith α .05.menter admitted that the wrong bubble sheet hadbeen copied so that the correct answers weretill faintly visible. Thus, the participants had an13. McAllister et alhockey playersnedithopportunity to cheat and inflate their test scores.Higher scores were valuable because participantspaid based on the number of correct answers.However, the researchers had secretly coded theoriginal tests and the bubble sheets so that they couldmeasure the degree of cheating for each participant.Assuming that the participants were divided intotwo groups based on their creativity scores, thefollowing data are similar to the cheating scoresobtained in the study.sports to deterrduring one seare00mance. In thewerewere significacompared to ting table presein the study.lorieNoncontacedf1790ns gtSanlyLow CreativityParticipantsHigh CreativityParticipantsDTn = 27n = 27beobM = 4.78drodM = 7.41reCUHCO TO POowdoid SS 830SS 749.5cilou s1oilm051Oka. Use a one-tailed test with a = .05 to determinea. Are thewhether these data are sufficient to conclude thathigh creativity people are more likely to cheat thanpeople with lower levels of creativity.D. Compute Cohen's d to measure the size of theeffect.bgotact spcUse a cb. CompuaccounC. Write a sentence demonstrating how the resultsfrom the hypothesis test and the measure of effectsize would appear in a research report.14. In the Chaing that ha(Zhou, Vo12. Recent research has demonstrated that music-basednhYsical training for elderly people can improvegroup oparticipat

Question
Asked Nov 27, 2019
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Number 11

Wri
the hypothesis test and the measure of effect size
would appear in a research report.
с.
utcome
Exercise Gro
Stride Lengt
effect
more likely to cheat than their less creative coun-
terparts (Gino and Ariely, 2012). Participants in the
study first completed creativity assessment question-
naires and then returned to the lab several days later
for a series of tasks. One task was a
general knowledge test for which the participants
circled their answers on the test sheet. Afterward,
they were asked to transfer their answers to a bubble
sheets for computer scoring. However, the experi-
11. Recent research has shown that creative people are
22
25
24
ffect
21
17
26
ord-
24
19
22
Kersh
25
28
tored
23
multiple-choice
en and
and
Do the results ir
ty.
ing
ffect
stride length for
with α .05.
menter admitted that the wrong bubble sheet had
been copied so that the correct answers were
till faintly visible. Thus, the participants had an
13. McAllister et al
hockey players
ned
ith
opportunity to cheat and inflate their test scores.
Higher scores were valuable because participants
paid based on the number of correct answers.
However, the researchers had secretly coded the
original tests and the bubble sheets so that they could
measure the degree of cheating for each participant.
Assuming that the participants were divided into
two groups based on their creativity scores, the
following data are similar to the cheating scores
obtained in the study.
sports to deterr
during one sea
re
00
mance. In the
were
were significa
compared to t
ing table prese
in the study.
lorie
Noncontac
edf
1
7
90ns gt
San
ly
Low Creativity
Participants
High Creativity
Participants
DT
n = 27
n = 27
beob
M = 4.78
dr
od
M = 7.41
re
CUHCO TO PO
ow
doid SS 830
SS 749.5
cilou s
1oilm
05
1Ok
a. Use a one-tailed test with a = .05 to determine
a. Are the
whether these data are sufficient to conclude that
high creativity people are more likely to cheat than
people with lower levels of creativity.
D. Compute Cohen's d to measure the size of the
effect.
bgo
tact spc
Use a c
b. Compu
accoun
C. Write a sentence demonstrating how the results
from the hypothesis test and the measure of effect
size would appear in a research report.
14. In the Cha
ing that ha
(Zhou, Vo
12. Recent research has demonstrated that music-based
nhYsical training for elderly people can improve
group o
participat
help_outline

Image Transcriptionclose

Wri the hypothesis test and the measure of effect size would appear in a research report. с. utcome Exercise Gro Stride Lengt effect more likely to cheat than their less creative coun- terparts (Gino and Ariely, 2012). Participants in the study first completed creativity assessment question- naires and then returned to the lab several days later for a series of tasks. One task was a general knowledge test for which the participants circled their answers on the test sheet. Afterward, they were asked to transfer their answers to a bubble sheets for computer scoring. However, the experi- 11. Recent research has shown that creative people are 22 25 24 ffect 21 17 26 ord- 24 19 22 Kersh 25 28 tored 23 multiple-choice en and and Do the results ir ty. ing ffect stride length for with α .05. menter admitted that the wrong bubble sheet had been copied so that the correct answers were till faintly visible. Thus, the participants had an 13. McAllister et al hockey players ned ith opportunity to cheat and inflate their test scores. Higher scores were valuable because participants paid based on the number of correct answers. However, the researchers had secretly coded the original tests and the bubble sheets so that they could measure the degree of cheating for each participant. Assuming that the participants were divided into two groups based on their creativity scores, the following data are similar to the cheating scores obtained in the study. sports to deterr during one sea re 00 mance. In the were were significa compared to t ing table prese in the study. lorie Noncontac edf 1 7 90ns gt San ly Low Creativity Participants High Creativity Participants DT n = 27 n = 27 beob M = 4.78 dr od M = 7.41 re CUHCO TO PO ow doid SS 830 SS 749.5 cilou s 1oilm 05 1Ok a. Use a one-tailed test with a = .05 to determine a. Are the whether these data are sufficient to conclude that high creativity people are more likely to cheat than people with lower levels of creativity. D. Compute Cohen's d to measure the size of the effect. bgo tact spc Use a c b. Compu accoun C. Write a sentence demonstrating how the results from the hypothesis test and the measure of effect size would appear in a research report. 14. In the Cha ing that ha (Zhou, Vo 12. Recent research has demonstrated that music-based nhYsical training for elderly people can improve group o participat

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Expert Answer

Step 1

a.

The null and the alternative hypotheses used for testing are given below:

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The high creativity people are equally likely to cheat when compared to lower creativity people The high creativity people are more likely to cheat than the lower creativity people H 0 The degrees of freedom for the test is df (n-1)(n-) = 26 +26 =52 Thus, for a one tailed test with 0.05 level of significance and with 52 df, the critical value for t is 1.675

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Step 2

The pooled sample variance for these two samples is calculated:

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SS+SS df+df 749.5 830 26+ 26 =30.375 Thus, the pooled sample variance for these two samples is 30.375. The estimated standard error is, Sм-м;) п, п, 30.375 30.375 27 27 =1.5 Thus, the estimated standard error is 1.5.

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Step 3

The test statistic is c...

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(м, - м,)-(4 — ди.) t = S(M-м,) (7.41-4.78)-0 1.5 1.75 Thus, the test statistic is 1.75.

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