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MGSC 301 Ch1 (1)
Exam of 9 pages for the course MGSC at MGSC (MGSC 301 Ch1 (1))
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MGSC 301 Ch1numerical facts such as averages, medians, percentages, and maximums. - ANS-Statistics
Facts and figures collected, analyzed, and summarized for presentation and interpretation. -
ANS-Data
all the data collected in a particular study - ANS-Data Set
The entities on which data are collected - ANS-Elements
a characteristic of interest for the elements - ANS-Variable
The set of measurements obtained for a particular element - ANS-Observation
the scale of measurement for when the data for a variable consist of labels or names used to
identify an attribute of the element - ANS-nominal scale
A scale of measurement using ranks rather than actual numbers. - ANS-ordinal scale
a scale of measurement in which the intervals between numbers on the scale are all equal in
size - ANS-interval scale
A quantitative measurement scale in which the numerals have equal intervals and the value of
zero truly means "none" of the variable being measured. - ANS-ratio scale
data that can be grouped by specific categories - ANS-Categorical data
Data that use numeric values to indicate how much or how many - ANS-quantitative data
a variable with categorical data - ANS-Categorical variable
a variable with quantitative data - ANS-Quantitative variable
collected at the same or approximately the same point in time - ANS-Cross-sectional data
data collected over several time periods - ANS-Time series data
Methods to organize data into meaningful patterns and summaries. - ANS-Discriptive statistics
A population is the set of all elements of interest in a particular study - ANS-Population
, A sample is a subset of the population - ANS-Sample
process of conducting a survey to collect data for the entire population - ANS-Census
the process of conducting a survey to collect data for a sample - ANS-sample survey
The process of using data obtained from a sample to make estimates or test hypotheses about
the characteristics of a population. - ANS-statistical inference
the scientific process of transforming data into insight for making better decisions -
ANS-Analytics
The set of analytical techniques that describe what has happened in the past. - ANS-Descriptive
analytics
Analytical techniques that use models constructed from past data to predict the future or assess
the impact of one variable on another. - ANS-Predictive Analytics
The set of analytical techniques that yield a best course of action. - ANS-Prescriptive Analytics
larger and more complex data sets - ANS-Big Data
methods for developing useful decision-making information from large databases - ANS-data
mining
A graphical device for depicting categorical data that have been summarized in a frequency,
relative frequency, or percent frequency distribution - ANS-Bar chart
Labels or names used to identify categories of like items. - ANS-Categorical data
The value halfway between the lower and upper class limits. - ANS-Class midpoint
A tabular summary of data for two variables. The classes for one variable are represented by
the rows; the classes for the other variable are represented by the columns. -
ANS-Crosstabulation
A tabular summary of quantitative data showing the number of data values that are less than or
equal to the upper class limit of each class. - ANS-Cumulative frequency distribution
A tabular summary of quantitative data showing the percentage of data values that are less than
or equal to the upper class limit of each class. - ANS-Cumulative percent frequency distribution
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