Week 10 Reflections_Annisa Ardiani

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New York University *

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MISC

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Statistics

Date

Feb 20, 2024

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pdf

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1

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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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