Week 10 Reflections_Annisa Ardiani
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New York University *
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Subject
Statistics
Date
Feb 20, 2024
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Annisa Ardiani -
aa11561@nyu.edu
- Statistical Measurements, Analysis, and Research
Reflection Week 10
Now that we have learned about three hypothesis tests, for your group
project
do
you
anticipate
a
multivariate
analysis?
Will
there
be
an
opportunity for a Chi Square Test, T-Test or a One Way Anova? Reflect --
What informs your thinking?
Some
of
my
group’s
data
processing
will
use
multivariate
analysis
using
Chi-Square Test and One Way ANOVA. My group will not use T-Test because all
of our nominal and ordinal data questions provide more than two answer choices
(non-binary).
These are several examples of multivariate analysis that use those testing;
1. Chi-Square Test
a. The difference in reason for using X (nominal) by the frequency of
using X (ordinal, as the options are never to daily)
b. The difference factors in trusting information from X (nominal) by age
group (ordinal & factorial)
c. The difference factors in trusting information from X (nominal) by
awareness of the new bluecheck mark policy (ordinal & factorial)
2. One Way ANOVA
a. The difference in the decision not using X due to bluecheck mark
policy (interval) by age group (ordinal & factorial)
b. The difference in the decision following an account due to bluecheck
mark (interval) by factors in trusting information from X (nominal &
factorial)
c. The difference in the perception of the importance of social media
platforms being transparent in their verification policies by factors in
trusting information from X (nominal & factorial)
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