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