QMB 3200 Exam
Data - ANS-facts and figures collected, analyzed, or summarized
Dataset - ANS-all the data collected in an analysis
Element - ANS-the entity on which data is collected
Variable - ANS-characteristic of interest of an element
Observation - ANS-all variables associated
Categorical - ANS-numeric or ordinal values of measurement
Quantitative - ANS-uses numeric measures
Cross Sectional - ANS-data collected at a similar point in time
Time Series - ANS-data collected over a series of time periods
Panel - ANS-combination of cross sectional and time series data
Descriptive Staistics - ANS-describes the data or variables
Population - ANS-set of all data/variables n statistical analysis
Sample - ANS-subset of the population
Statistical inference - ANS-uses data from a sample to make estimates and test
hypothesis about the characteristics of a population
Descriptive Analytics - ANS-describes what has happened in the past
Predictive Analytics - ANS-statistical models from he pas to predict the future or access
the impact of one variable on another
Prescriptive Analytics - ANS-uses models seeking to find an optimal solution (type of
optimization model)
, Volume - ANS-number of observations
Velocity - ANS-speed data is collected
Variety - ANS-forms of data are of different types
Veracity - ANS-reliability of the data generated
Data Mining - ANS-focuses on extracting predictive information from Big Data
Frequency Distribution - ANS-tabular summary of data showing the number of
observations in each of several non overlapping categories
Percent Frequency - ANS-relative frequency * 100
Relative Frequency - ANS-(frequency of class)/(n)
cumulative relative frequency - ANS-shows the proportion of items with values less than
or equal to the upper limit of each class
cumulative percentage - ANS-shows the percent of data with values less than or equal
to the upper limit
Crosstabulation - ANS-a tabular summary of data for two variables
Mean - ANS-average
=average(B:B)
Median - ANS-middle value
=median(B:B)
Mode - ANS-value with greatest frequency
=mode.sngl(B:B:)
Weighted Mean - ANS-used when observations have different weights
Geometric Mean - ANS-measure of location by finding the nth root of product of n
values
=geomean(C:C)
Data - ANS-facts and figures collected, analyzed, or summarized
Dataset - ANS-all the data collected in an analysis
Element - ANS-the entity on which data is collected
Variable - ANS-characteristic of interest of an element
Observation - ANS-all variables associated
Categorical - ANS-numeric or ordinal values of measurement
Quantitative - ANS-uses numeric measures
Cross Sectional - ANS-data collected at a similar point in time
Time Series - ANS-data collected over a series of time periods
Panel - ANS-combination of cross sectional and time series data
Descriptive Staistics - ANS-describes the data or variables
Population - ANS-set of all data/variables n statistical analysis
Sample - ANS-subset of the population
Statistical inference - ANS-uses data from a sample to make estimates and test
hypothesis about the characteristics of a population
Descriptive Analytics - ANS-describes what has happened in the past
Predictive Analytics - ANS-statistical models from he pas to predict the future or access
the impact of one variable on another
Prescriptive Analytics - ANS-uses models seeking to find an optimal solution (type of
optimization model)
, Volume - ANS-number of observations
Velocity - ANS-speed data is collected
Variety - ANS-forms of data are of different types
Veracity - ANS-reliability of the data generated
Data Mining - ANS-focuses on extracting predictive information from Big Data
Frequency Distribution - ANS-tabular summary of data showing the number of
observations in each of several non overlapping categories
Percent Frequency - ANS-relative frequency * 100
Relative Frequency - ANS-(frequency of class)/(n)
cumulative relative frequency - ANS-shows the proportion of items with values less than
or equal to the upper limit of each class
cumulative percentage - ANS-shows the percent of data with values less than or equal
to the upper limit
Crosstabulation - ANS-a tabular summary of data for two variables
Mean - ANS-average
=average(B:B)
Median - ANS-middle value
=median(B:B)
Mode - ANS-value with greatest frequency
=mode.sngl(B:B:)
Weighted Mean - ANS-used when observations have different weights
Geometric Mean - ANS-measure of location by finding the nth root of product of n
values
=geomean(C:C)
