A researcher is interested in whether people will show different amounts of cognitive dissonance when viewing images of animals in distress vs. images of humans in distress. The researcher collects data from N = 12 people and randomly assigns six people to an Animal Distress condition and six different people to a Human Distress condition. Participants were shown 20 images superimposed onto one of 4 color backgrounds (i.e., red, yellow, green, and blue) and were asked to report the color behind each image as quickly as possible using keys on a keyboard. Participants in the Animal Distress condition were shown 20 images of animals in distress and participants in the Human Distress condition were shown 20 images of humans in distress. Cognitive dissonance was measured using the number of errors made in identifying background colors. The data were as follows: Animal Distress: 8, 6, 7, 8, 5, 9 Human Distress: 3, 2, 4, 1, 2, 2
A researcher is interested in whether people will show different amounts of cognitive dissonance when viewing images of animals in distress vs. images of humans in distress. The researcher collects data from N = 12 people and randomly assigns six people to an Animal Distress condition and six different people to a Human Distress condition. Participants were shown 20 images superimposed onto one of 4 color backgrounds (i.e., red, yellow, green, and blue) and were asked to report the color behind each image as quickly as possible using keys on a keyboard. Participants in the Animal Distress condition were shown 20 images of animals in distress and participants in the Human Distress condition were shown 20 images of humans in distress. Cognitive dissonance was measured using the number of errors made in identifying background colors. The data were as follows: Animal Distress: 8, 6, 7, 8, 5, 9 Human Distress: 3, 2, 4, 1, 2, 2
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Problem 1P
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A researcher is interested in whether people will show different amounts of cognitive dissonance when viewing images of animals in distress vs. images of humans in distress. The researcher collects data from N = 12 people and randomly assigns six people to an Animal Distress condition and six different people to a Human Distress condition. Participants were shown 20 images superimposed onto one of 4 color backgrounds (i.e., red, yellow, green, and blue) and were asked to report the color behind each image as quickly as possible using keys on a keyboard. Participants in the Animal Distress condition were shown 20 images of animals in distress and participants in the Human Distress condition were shown 20 images of humans in distress. Cognitive dissonance was measured using the number of errors made in identifying background colors. The data were as follows:
Animal Distress: 8, 6, 7, 8, 5, 9
Human Distress: 3, 2, 4, 1, 2, 2
Transcribed Image Text:M
SD
n
tobs
Report all values (except p-values) to TWO decimal places.
SE Difference
=
p-value
Animal Distress
d =
95% CI around mean difference =
Human Distress
3 decimal places
Complete the APA report.
Report all values to TWO decimal places.
). This difference
Results
=
On average, individuals who viewed images of animals in distress committed more errors (M
compared to individuals who viewed images of humans in distress (M =
statistically significant, t
Also, the 95% CI around the difference between the two means
=
р
.05.
include zero, [
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Transcribed Image Text:n
tobs
Report all values (except p-values) to TWO decimal places.
SE Difference
p-value
O
d =
0.73
a
95% CI around mean difference =
3 decimal places
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