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Exam (elaborations)

MGSC 291 Exam 1 (Walters) QUESTIONS WITH ANSWERS

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MGSC 291 Exam 1 (Walters) QUESTIONS WITH ANSWERS










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Uploaded on
November 11, 2025
Number of pages
10
Written in
2025/2026
Type
Exam (elaborations)
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Questions & answers

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MGSC 291 Exam 1 (Walters) QUESTIONS |\ |\ |\ |\ |\ |\




WITH ANSWERS |\




Descriptive Statistics - CORRECT ANSWERS ✔✔Collecting,
|\ |\ |\ |\ |\ |\


summarizing, and presenting data |\ |\ |\




Inferential Statistics - CORRECT ANSWERS ✔✔drawing
|\ |\ |\ |\ |\ |\


conclusions about a population based on sample data from that
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\


population


Parameter - CORRECT ANSWERS ✔✔a number used to describe a
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\


population


Statistic - CORRECT ANSWERS ✔✔a number calculated from a
|\ |\ |\ |\ |\ |\ |\ |\ |\


sample and is used to estimate the parameter
|\ |\ |\ |\ |\ |\ |\




Time Series - CORRECT ANSWERS ✔✔variables that are measured
|\ |\ |\ |\ |\ |\ |\ |\


at regular intervals over time (hourly, daily, weekly, monthly,
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\


quarterly, annual...) |\




Cross-Sectional Data - CORRECT ANSWERS ✔✔several variables |\ |\ |\ |\ |\ |\ |\


are all measured at the same time point (or time frame)
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\




Big Data - CORRECT ANSWERS ✔✔Data warehouses that have
|\ |\ |\ |\ |\ |\ |\ |\ |\


grown enormously in size, with the use of powerful computers,
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\

, the information contained in them is accessible and used to help
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\ |\


make decisions |\




Discrete variables - CORRECT ANSWERS ✔✔jumps between
|\ |\ |\ |\ |\ |\ |\


possible values |\




continuous variable` - CORRECT ANSWERS ✔✔another possible |\ |\ |\ |\ |\ |\ |\


value between any two values |\ |\ |\ |\




Nominal variables - CORRECT ANSWERS ✔✔categorical variables
|\ |\ |\ |\ |\ |\ |\


for which the categories do not have a natural ordering
|\ |\ |\ |\ |\ |\ |\ |\ |\




Ordinal Variables - CORRECT ANSWERS ✔✔categorical variables
|\ |\ |\ |\ |\ |\ |\


for which the categories have a natural ordering
|\ |\ |\ |\ |\ |\ |\




boxplots - CORRECT ANSWERS ✔✔For quantitative data
|\ |\ |\ |\ |\ |\ |\




works for small to large datasets
|\ |\ |\ |\ |\




plots the five number summary
|\ |\ |\ |\ |\




great for side-by-side comparisons
|\ |\ |\




R code for boxplots - CORRECT ANSWERS ✔✔boxplot()
|\ |\ |\ |\ |\ |\ |\




Histogram - CORRECT ANSWERS ✔✔medium to large quantitative|\ |\ |\ |\ |\ |\ |\


datasets
|\ |\




Bins touch |\ |\

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