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OPRE 3360 Exam 1 Questions With Complete Solutions

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OPRE 3360 Exam 1 Questions With Complete Solutions

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OPRE 3360
Course
OPRE 3360

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OPRE 3360 Exam 1 Questions With Complete Solutions

Bar Charts Correct Answers A graphical device for depicting
categorical data summarized in a frequency, relative frequency
or percent frequency distribution.

Categorical Data Correct Answers - referred to as qualitative
data
-labels/names used to identify an attribute of elements
- Uses either nominal or ordinal scale of measurement
- Appropriate statistical analysis are rather limited

Cross-Sectional Data Correct Answers data collected at the
same or approximately the same point in time.

Crosstabulation Correct Answers - A tabular summary of data
for 2 variables.
- Can be used for both categorical and quantitative data.
- The left and top margin labels define the classes for the 2
variables.

Cumulative Distributions Correct Answers - A variation of the
frequency distribution
- Uses same methods to determine:
> # of classes
> Class width
> Class Limits
- Displays the frequency of data items with values less than or
equal to the upper class limit of each class.

, Data Correct Answers the facts and figures collected, analyzed,
and summarized for presentation and interpretation.

Data Set Correct Answers All the data collected in a particular
study

Data Values Correct Answers number of elements x number of
variables

Detecting Outliers (Box Plot Method) Correct Answers -
Outlier limits determined using IQR

- Data outside the box of a distance of more than 1.5X the IQR
are considered Outliers

> lower limit: Q1 - 1.5(IQR)
> upper limit: Q3 + 1.5(IQR)

Detecting Outliers (Z-score Method) Correct Answers - a data
value with a z-score < -3 or > +3 might be considered an outlier.

Elements Correct Answers entities on which data is collected

Frequency Distribution (Quantitative data) Correct Answers 3
steps to define classes for frequency distribution using
quantitative data:
1) Determine # of non-overlapping classes
> as a general guideline use between 5-20 classes
2) Determine width of each class
> Approx. class width = (largest data value - smallest data
value)/ # of classes

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