Abstract

Based on previous research, statistics anxiety towards statistics were discussed. There is a study about anxiety and attitude of graduate students in on-campus vs. online statistics courses, and student attitude toward statistics. To date, no one has seemed to examine anxiety toward statistics with regard to use of coding vs. noncoding software. The purpose of this study was to know the level of anxiety towards learning new statistical software. Responses from seventy-nine graduate students who have or had classes in the Applied Statistics Division were collected. The survey made for this study had a Likert scale that included three categories of interest: Learning Statistical Concepts, Learning Statistical Software, and Learning to Read/Interpret Results. Also, there were demographic characteristics considered as possible effective factors on the Likert scale. A repeated single measure was used for this study. The results showed software type, gender, and major are statistically significant indicating these factors impact the anxiety towards learning new statistical software.

Library of Congress Subject Headings

Math anxiety--Research; Statistics--Study and teaching--Public opinion; Statistics--Software--Public opinion; College students--Attitudes

Publication Date

8-2018

Document Type

Thesis

Student Type

Graduate

Degree Name

Applied Statistics (MS)

Department, Program, or Center

School of Mathematical Sciences (COS)

Advisor

Robert Parody

Advisor/Committee Member

Carol Marchetti

Advisor/Committee Member

Linlin Chen

Campus

RIT – Main Campus

Plan Codes

APPSTAT-MS

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