5. In recent years there has been a great deal of research demonstrating gender discrimination in science, technology, engineering and math (STEM) fields. In one experiment, for example, faculty members viewed an application for a laboratory manager position. The applications were identical except that half had a traditionally male name (John) and half had a traditionally female name (Jennifer). In addition, half of the faculty participants were from STEM fields and half were from non-STEM fields. The faculty were asked to rate the competence of the applicants on a 6-point scale, with 1 indicating a lower rating. Group means are presented below, along with an incomplete summary table. After completing the table, write a conclusion about the outcome of the experiment. Source Gender of applicant Male Female Between Treatments Gender of applicant Discipline of rater A x B interaction Total Within treatments SS 320 80 576 Discipline of Faculty Rater STEM M = 4.80 M = 4.02 MS 20 1.25 Non-STEM M = 4.54 M = 4.55 F
5. In recent years there has been a great deal of research demonstrating gender discrimination in science, technology, engineering and math (STEM) fields. In one experiment, for example, faculty members viewed an application for a laboratory manager position. The applications were identical except that half had a traditionally male name (John) and half had a traditionally female name (Jennifer). In addition, half of the faculty participants were from STEM fields and half were from non-STEM fields. The faculty were asked to rate the competence of the applicants on a 6-point scale, with 1 indicating a lower rating. Group means are presented below, along with an incomplete summary table. After completing the table, write a conclusion about the outcome of the experiment. Source Gender of applicant Male Female Between Treatments Gender of applicant Discipline of rater A x B interaction Total Within treatments SS 320 80 576 Discipline of Faculty Rater STEM M = 4.80 M = 4.02 MS 20 1.25 Non-STEM M = 4.54 M = 4.55 F
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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
Transcribed Image Text:Conclusion:

Transcribed Image Text:5. In recent years there has been a great deal of research demonstrating gender discrimination in
science, technology, engineering and math (STEM) fields. In one experiment, for example,
faculty members viewed an application for a laboratory manager position. The applications were
identical except that half had a traditionally male name (John) and half had a traditionally female
name (Jennifer). In addition, half of the faculty participants were from STEM fields and half
were from non-STEM fields. The faculty were asked to rate the competence of the applicants on a
6-point scale, with 1 indicating a lower rating. Group means are presented below, along with an
incomplete summary table. After completing the table, write a conclusion about the outcome of
the experiment.
Source
Gender of applicant
Male
Female
Between Treatments
Gender of applicant
Discipline of rater
A x B interaction
Within treatments
Total
SS
320
80
576
Discipline of Faculty Rater
STEM
M = 4.80
M = 4.02
df
MS
20
1.25
Non-STEM
M = 4.54
M = 4.55
F
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