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EDD 8050: EDD-FPX 8050 #2 | Applying Descriptive Statistics Template - 2026 Update

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EDD 8050: EDD-FPX 8050 #2 | Applying Descriptive Statistics Template - 2026 Update

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Applying Descriptive Statistics Template









Applying Descriptive Statistics Template

Classification of Five Variables

, 2


​ The five variables selected for this descriptive analysis represent the four levels of

measurement and provide the Board of Trustees with comprehensive insights into the university

community. The first variable, Gender Identity, is a nominal variable that categorizes respondents

into distinct groups (man, woman, transgender, non-binary/non-conforming, or prefer not to

disclose) without any inherent order. The second variable, SleepyAtWork (likelihood of feeling

sleepy or falling asleep at work or in class), is an ordinal variable measured on a 5-point Likert

scale (Very unlikely, Unlikely, As likely as unlikely, Likely, Very likely) that reflects ranked

responses but does not assume equal intervals between categories. The third variable, Age (in

years), is an interval/ratio variable that provides continuous numerical data about respondent

ages with a true zero point and equal intervals between values. The fourth variable, BMI (Body

Mass Index), is an interval/ratio variable representing a continuous measure of body composition

with meaningful intervals and ratios. The fifth variable, FoodEmotions (agreement with "I use

food to cope with emotions"), is an ordinal variable measured on a 5-point Likert scale (Strongly

disagree, Disagree, Neutral, Agree, Strongly Agree) that assesses stress-coping behaviors related

to emotional eating.

Descriptive Data Analysis

Variable 1: Gender Identity (Nominal)

Frequency Table Output:

Gender Identity Frequency Percent Valid Cumulative

Percent Percent


Man 71 33.2% 33.2% 33.2%


Woman 110 51.4% 51.4% 84.6%

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