1 for specific request mail
IS 310 Business Statistics (Presentations) Questions |
Accurate & Verified Answers to Pass Actual Exam
Data
Ans: facts and figures collected, analyzed, and summarized for
presentation and interpretation
Elements
Ans: entities on which data are collected
Assignment Expert
variable
Ans: any characteristic or property recorded for each element
Guru01 - Stuvia
data set
Ans: consists of all the data collected for a particular study
total number of date values = number of elements X number of variables
2026
observation
©
Ans: complete set of information obtained for a particular element
Categorical Data
Ans: Data that consists of names, labels, or other nonnumerical values
nominal and ordinal
Nominal Data
Ans: categorical data; cannot be ranked
Ordinal Data
Ans: categorical data; order is meaningful
Quantitative Data
Ans: numerical data
, 2 for specific request mail
interval and ratio
Interval Data
Ans: quantitative data
no true zero point (ex. temperature)
Ratio scale
Ans: quantitative data
true zero point (ex. income)
Assignment Expert
Cross-sectional data
Ans: collected at the same or approximately the same point in time
Guru01 - Stuvia
Time series data
Ans: collected over several time periods
2026
Observational Study
Ans: no attempt is made to control or influence the variables of interest
©
experiment
Ans: conducted under controlled conditions
Descriptive statistics
Ans: tools used to organize , summarize and simplify large sets of raw
data, providing meaningful insights at a glance
Statistical inference
Ans: process of using data obtained from a sample to make estimates
and test hypotheses about the characteristics of a population
, 3 for specific request mail
Population
Ans: the set of all elements of interest in a particular study. For example
- "every voter in a country"
Sample
Ans: a smaller, manageable subset of the population used for data
collection
Analytics
Ans: scientific process of transforming data into insight for making
better decisions
Assignment Expert
(descriptive, predictive, prescriptive)
Guru01 - Stuvia
Big data
Ans: refers to vastly large and rapidly growing datasets collected from
diverse sources such as social media, sensors, and online transactions
2026
Three Vs of Big Data
Ans: Volume: the extremely large amount of available data
©
(millions/billions of records)
velocity: the speed at which data is collected and processed
variety: different data types - numerical, text, images, and more.
Data warehousing
Ans: process of capturing, storing, and maintaining data
Data mining
Ans: help develop useful decision-making information from large
databases
IS 310 Business Statistics (Presentations) Questions |
Accurate & Verified Answers to Pass Actual Exam
Data
Ans: facts and figures collected, analyzed, and summarized for
presentation and interpretation
Elements
Ans: entities on which data are collected
Assignment Expert
variable
Ans: any characteristic or property recorded for each element
Guru01 - Stuvia
data set
Ans: consists of all the data collected for a particular study
total number of date values = number of elements X number of variables
2026
observation
©
Ans: complete set of information obtained for a particular element
Categorical Data
Ans: Data that consists of names, labels, or other nonnumerical values
nominal and ordinal
Nominal Data
Ans: categorical data; cannot be ranked
Ordinal Data
Ans: categorical data; order is meaningful
Quantitative Data
Ans: numerical data
, 2 for specific request mail
interval and ratio
Interval Data
Ans: quantitative data
no true zero point (ex. temperature)
Ratio scale
Ans: quantitative data
true zero point (ex. income)
Assignment Expert
Cross-sectional data
Ans: collected at the same or approximately the same point in time
Guru01 - Stuvia
Time series data
Ans: collected over several time periods
2026
Observational Study
Ans: no attempt is made to control or influence the variables of interest
©
experiment
Ans: conducted under controlled conditions
Descriptive statistics
Ans: tools used to organize , summarize and simplify large sets of raw
data, providing meaningful insights at a glance
Statistical inference
Ans: process of using data obtained from a sample to make estimates
and test hypotheses about the characteristics of a population
, 3 for specific request mail
Population
Ans: the set of all elements of interest in a particular study. For example
- "every voter in a country"
Sample
Ans: a smaller, manageable subset of the population used for data
collection
Analytics
Ans: scientific process of transforming data into insight for making
better decisions
Assignment Expert
(descriptive, predictive, prescriptive)
Guru01 - Stuvia
Big data
Ans: refers to vastly large and rapidly growing datasets collected from
diverse sources such as social media, sensors, and online transactions
2026
Three Vs of Big Data
Ans: Volume: the extremely large amount of available data
©
(millions/billions of records)
velocity: the speed at which data is collected and processed
variety: different data types - numerical, text, images, and more.
Data warehousing
Ans: process of capturing, storing, and maintaining data
Data mining
Ans: help develop useful decision-making information from large
databases
