Business Analytics using R Programming MCQs

Multiple Choice Questions 48 Pages

Savitribai Phule Pune University

Data Analytics

Contributed by

Nidhi Chand

DNYANSAGAR INSTITUTE OF MANAGEMENT AND RESEARCH

Prof. Dhananjay Bhavsar www.dimr.edu.in

Specialization : Business Analytics
Course Code : 205 Course Name: Business Analytics using R Programming
MCQ
Sr
No
Question
Answer
1
Which of these measures are used to analyse the central tendency of data?
a. Mean and Normal Distribution
b. Mean, Median and Mode
c. Mode, Alpha & Range
d. Standard Deviation, Range and Mean
e. Median, Range and Normal Distribution
B
2
Five numbers are given: (5, 10, 15, 5, 15). Now, what would be the sum of
deviations of individual data points from their mean?
A) 10 B)25 C) 50 D) 0 E) None of the above
D
3
A test is administered annually. The test has a mean score of 150 and a
standard deviation of 20. If Ravi’s z-score is 1.50, what was his score on the
test?
A) 180 B) 130 C) 30 D) 150
E) None of the above
A
4
Business intelligence (BI) is a broad category of application programs which
includes _____________
a) Decision support b) Data mining c) OLAP
d) All of the mentioned

A
5
Point out the correct statement.
a) OLAP is an umbrella term that refers to an assortment of software
applications for analyzing an organization’s raw data for intelligent decision
making
b) Business intelligence equips enterprises to gain business advantage from
data
c) BI makes an organization agile thereby giving it a lower edge in today’s
evolving market condition
d) None of the mentioned
A
6
BI can catalyze a business’s success in terms of _____________
a) Distinguish the products and services that drive revenues
b) Rank customers and locations based on profitability
c) Ranks customers and locations based on probability
d) All of the mentioned

d
7
Which of the following areas are affected by BI?
a) Revenue b) CRM c) Sales d) All of the mentioned
D
8
1. Business intelligence (BI) is a broad category of application programs which
D
Page 1
DNYANSAGAR INSTITUTE OF MANAGEMENT AND RESEARCH

Prof. Dhananjay Bhavsar www.dimr.edu.in

includes _____________
a) Decision support b) Data mining c) OLAP
d) All of the mentioned

9
Which of the following measures of central tendency will always change if a
single value in the data changes?
A) Mean B) Median C) Mode D) All of these
A
10
Strong assessment items are made up of five elements:
1. a) Standard b) Stimulus
2. c) Stem d) Key
3. e) Distractors

A
11
4. A good question is --------------- It focuses on recall of only the material covered
in your lesson and aligns well with the overall learning objectives
5. a) relevant. b) clear c) concise d) purpose

B
12
6. A good question is framed in a-----------, easily understandable language,
without any vagueness. Students should understand what is wanted from the
question even when they don’t know the answer to it.
7. a) clear b) relevant c) concise d) purpose

A
13
A good question is usually crisp and----------. It omits any unnecessary
information that requires students to spend time understanding it correctly.
The idea is not to trick learners but assess their knowledge.
a) concise b) clear c) relevant d) purpose
A
14
1. _____ programming language is a dialect of S.
a) B b) C c) R d) K

C
15
Point out the WRONG statement?
a) Early versions of the S language contain functions for statistical modeling
b) The book Programming with Data by John Chambers documents S version of
the language
c) In 1993 Bell Labs gave StatSci (later Insightful Corp.) an exclusive license to
develop and sell the S language
d) The book Programming with Data by IBM documents S version of the
language

C
16
In 1991, R was created by Ross Ihaka and Robert Gentleman in the Department
of Statistics at the University of _________
a) John Hopkins
b) California
c) Harvard
d) Auckland

D
Page 2
DNYANSAGAR INSTITUTE OF MANAGEMENT AND RESEARCH

Prof. Dhananjay Bhavsar www.dimr.edu.in

17
Point out the wrong statement?
a) R is a language for data analysis and graphics
b) K is language for statistical modelling and graphics
c) One key limitation of the S language was that it was only available in a
commercial package, S-PLUS
d) C is a language for data and graphics

A
18
Business analytics results in which of these?
a. Evidence Based Decisions
b. Data Driven Decisions
c. Better Decisions
d. All of these are correct
D
19
Which one of the following is not a type of Business Analytics?
a. Descriptive Analytics
b. Diagnostic Analytics
c. Predictive Analytics
d. Performance Analytics
D
20
What will be the output of the following R code snippet?
> paste("a", "b", se = ":")
a) “a+b”
b) “a=b”
c) “a b :”
d) none of the mentioned
D
21
Point out the correct statement?
a) In R, a function is an object which has the mode function
b) R interpreter is able to pass control to the function, along with arguments that
may be necessary for the function to accomplish the actions that are desired
c) Functions are also often written when code must be shared with others or the
public
d) All of the mentione
D
22
The __________ function returns a list of all the formal arguments of a function.
a) formals()
b) funct()
c) formal()
d) fun()
A
23
What will be the output of the following R code snippet?
> f <- function(num = 1) {
+ hello <- "Hello, world!\n"
A
Page 3
DNYANSAGAR INSTITUTE OF MANAGEMENT AND RESEARCH

Prof. Dhananjay Bhavsar www.dimr.edu.in

+ for(i in seq_len(num)) {
+ cat(hello)
+ }
+ chars <- nchar(hello) * num
+ chars
+ }
> f()
a)
Hello, world!
[1] 14
b) Hello, world!
[1] 15
c) Hello, world!
[1] 16
d) Error
24
Point out the wrong statement?
a) A formal argument can be a symbol, a statement of the form ‘symbol =
expression’, or the special formal argument
b) The first component of the function declaration is the keyword function
c) The value returned by the call to function is not a function
d) Functions are also often written when code must be shared with others or the
public
A
25
You can check to see whether an R object is NULL with the _________ function.
a) is.null()
b) is.nullobj()
c) null()
d) as.nullobj()
A
26
Which of the following code will print NULL?
a) > args(paste)
b) > arg(paste)
A
Page 4
DNYANSAGAR INSTITUTE OF MANAGEMENT AND RESEARCH

Prof. Dhananjay Bhavsar www.dimr.edu.in

c) > args(pastebin)
d) > arg(bin)
27
What will be the output of the following R code snippet?
> paste("a", "b", sep = ":")
a) “a+b”
b) “a=b”
c) “a:b”
d) a*b
A
28
What will be the output of the following R code snippet?
> f <- function(a, b) {
+ print(a)
+ print(b)
+ }
> f(45)
a) 32
b) 42
c) 52
d) 45
A
29
What will be the output of the following R code snippet?
> f <- function(a, b) {
+ a^2
+ }
> f(2)
a) 4
b) 3
c) 2
d) 5
A
30
Which of the following is a base package for R language?
a) util
b) lang
c) tools
d) All of the above
C
Page 5
DNYANSAGAR INSTITUTE OF MANAGEMENT AND RESEARCH

Prof. Dhananjay Bhavsar www.dimr.edu.in

31
R comes with a ________ to help you optimize your code and improve its performance.
a) Debugger
b) Monitor
c) Profiler
d) None of the above

A
32
debug() flags a function for ______ mode in R mode.
a) debug
b) run
c) compile
d) None of the above
B
33
______ suspends the execution of a function wherever it is called and puts the function
in debug mode
a) recover()
b) browser()
c) Both of the above
C
34
A matrix is ___dimensionsinal rectangular data set?
a) 5
b) 4
c) 3
d) 2
D
35
The _____ function takes a vector or other objects and splits it into groups determined
by a factor or list of factors.
a) apply()
b) split()
c) isplit()
d) mapply()
B
36
lapply function takes___ arguments in R language
a) 1
b) 3
c) 4
d) 5
C
37
____is used to apply a function over subsets of a vector
a) apply()
d
Page 6
DNYANSAGAR INSTITUTE OF MANAGEMENT AND RESEARCH

Prof. Dhananjay Bhavsar www.dimr.edu.in

b) lapply()
c) mapply()
d) tapply()
a)
38
_______applies a function over the margins of an array
a) apply()
b) lapply()
c) tapply()
d) mapply()
A
39
____function is same as lapply() in R
b) apply()
c) lapply()
d) sapply()
e) tapply()

C
40
_______ loop over a list and evaluate a function on each element
a) apply()
b) lapply()
c) sapply()
d) tapply()
A
41
__________ is proprietary tool for predictive analytics.
a) R
b) SAS
c) SSAS
d) SPSS

B
42
Data frames can be converted to a matrix by calling data._______
a) matr()
b) mat()
c) matrix()
d) None of the above

C
43
Which of the following method make a vector of repeated values?
a) rep()
b) data()
b
Page 7
DNYANSAGAR INSTITUTE OF MANAGEMENT AND RESEARCH

Prof. Dhananjay Bhavsar www.dimr.edu.in

c) view()
d) None of the above

44
R objects can have attributes, which are like ________ for the object
a) metadata
b) features
c) expressions
A
45
Attributes of an object (if any) can be accessed using the ______ function.
a) objects()
b) attrib()
c) attributes()
C
46
_________ involves predicting a response with meaningful magnitude, such as quantity
sold, stock price, or return on investment.
a) Regression
b) Clustering
c) Summarization
A
47
________ provides needed string operators in R
a) str
b) forcast
c) stringr
C
48
______ splits a data frame and results in an array (hence the da). Hopefully, you’re
getting the idea here.
a) apply
b) daply
c) stats
B
49
System.time function returns an object of class _______ which contains two useful bits
of information.
a) debug_time
b) procedure_time
c) proc_time
C
50
Which of the following will start the R program?
a) $ R
b) & R
a
Page 8
DNYANSAGAR INSTITUTE OF MANAGEMENT AND RESEARCH

Prof. Dhananjay Bhavsar www.dimr.edu.in

c) Rb

Unit 2
1
The third step in decision making process is
a linear predictions
b dependent predictions
c making predictions
d independent predictions
C
2
The decision making step, which consists of organization goals, predicting
alternatives and communicating goals is called
a organization
b alternation
c planning
d valuing
C
3
The fourth step in decision making process is
a linear correlation
b making decisions
c implement decisions
d evaluate performance

B
4
The costs that behaves as irrelevant costs in process of decision making are
classified as
a past costs
b future costs
c expected costs
d sunk costs
A
5
Which of these is not a topic covered in a typical Business Analyst Aptitude
Test?
a. Analytical Thinking c. Data Interpretation
b. Listening Skills d. Risk Management
D
6
If the test should be 30 minutes, Analytical Thinking is taken in how many
minutes?
a. 5 c. 10
b. 7 d. 15

C
7
Primary objective of a business analyst is to help businesses implement
a. Business systems
b. Business solutions
c. Technology systems
d. Technology solutions

B
8
Which business professional performs cost-benefit analyses of existing and
potential customers
a) Marketer
b) Financial Analyst
C
Page 9
DNYANSAGAR INSTITUTE OF MANAGEMENT AND RESEARCH

Prof. Dhananjay Bhavsar www.dimr.edu.in

c) Business Analyst
d) Sales Representative
9
8. 1. A Use Case is a set of steps, typically defining interactions between a role,
True of False
9. a. True
b. False

A
10
Any fact that the solution can assume to be true when the use case begins is
what?
a. A win
b. A Failure
c. A success
d. A Precondition
C
11
A State Diagram is used for what?
a. Which Events cause a transition between states
b. Which events cause a success between states
c. Allowable behaviour
d, All
D
12
A Solution Requirement is comprised of two types of requirements what are
they?
a, Functional
b. Hard
c. Existing
d. Non-Functional
A
13
Which of the following is used for Statistical analysis in R language?
a) Studio
b) RStudio
c) Heck
B
14
R functionality is divided into a number of ________
a) Packages
b) Functions
c) Domains
A
15
Which of the following is an example of vectorized operation as far as subtraction is
concerned?

> x <- 1:4
> y <- 6:9
a) x+y
b) x-y
b
Page 10

Business Analytics using R Programming MCQs

Business Analytics using R Programming MCQs

Download this file to view remaining 38 pages