Business Analytics Exam | Verified Exam Questions and Answers | Latest
Updated Study Material 2026
Question:
Descriptive Statistics
Answer:
Aggregating and summarizing data
Question:
Inferential Statistics
Answer:
Using data collected from a small group to
draw conclusion about a larger group
Question:
Nominal
Answer:
A qualitative variable for which there is no
meaningfulordering, or ranking, of the categories
Question:
Ordinal
Answer:
qualitative variable for which there is a meaningful
ordering,or ranking, of the categories
Question:
how make nominal variable in r
Answer:
factor(c('Germany','India','USA','India', 'USA'))
Question:
how to make ordinal variable in r
Answer:
C=ordered(c('Bad','Good','Neutral','Bad', 'Good'), levels = c("Bad", "Neutral", "Good"))
, Question:
Parameters
Answer:
Measures used to describe the population
Question:
Statistics
Answer:
Measures used to describe the population
Question:
Types of Descriptive Statistics
Answer:
Measures of central tendency
(univariate)
Question:
Measures of dispersion (univariate)
Measures of skewness (univariate)
Measures of dependence (bivariate)
library in r for mode
Answer:
modeest
Question:
how to calc mode in r
Answer:
mlv(Data, method = 'mfv')
Question:
Range
Answer:
The spread, or the distance, between the lowest and
Updated Study Material 2026
Question:
Descriptive Statistics
Answer:
Aggregating and summarizing data
Question:
Inferential Statistics
Answer:
Using data collected from a small group to
draw conclusion about a larger group
Question:
Nominal
Answer:
A qualitative variable for which there is no
meaningfulordering, or ranking, of the categories
Question:
Ordinal
Answer:
qualitative variable for which there is a meaningful
ordering,or ranking, of the categories
Question:
how make nominal variable in r
Answer:
factor(c('Germany','India','USA','India', 'USA'))
Question:
how to make ordinal variable in r
Answer:
C=ordered(c('Bad','Good','Neutral','Bad', 'Good'), levels = c("Bad", "Neutral", "Good"))
, Question:
Parameters
Answer:
Measures used to describe the population
Question:
Statistics
Answer:
Measures used to describe the population
Question:
Types of Descriptive Statistics
Answer:
Measures of central tendency
(univariate)
Question:
Measures of dispersion (univariate)
Measures of skewness (univariate)
Measures of dependence (bivariate)
library in r for mode
Answer:
modeest
Question:
how to calc mode in r
Answer:
mlv(Data, method = 'mfv')
Question:
Range
Answer:
The spread, or the distance, between the lowest and