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Exploratory Data Analysis

Total questions: 20

Worksheet time: 10mins

Name
Class
Date
1.

What is the role of exploratory graphs in data analysis?

a)
  • Axes, legends, and other details are clean and exactly detailed.

b)
  • They are typically made very quickly.

c)
  • They are made for formal presentations.

d)
  • Only a few are constructed.

2.

If I want to save a plot to a PDF file, which of the following is a correct way of doing that?

a)
  • Construct the plot on the PNG device with png(), then copy it to a PDF with dev.copy2pdf().

b)
  • Construct the plot on the screen device and then copy it to a PDF file with dev.copy2pdf()

c)
  • Open the screen device with quartz(), construct the plot, and then close the device with dev.off().

d)
  • Open the PostScript device with postscript(), construct the plot, then close the device with dev.off().

3.

Data Analysis is a process of?

a)

inspecting data

b)

cleaning data

c)

transforming data

d)

All of the options

4.

How many main statistical methodologies are used in data analysis?

a)

2

b)

3

c)

4

d)

5

5.

In descriptive statistics, data from the entire population or a sample is

summarized with ?

a)

integer descriptors

b)

floating descriptors

c)

numerical descriptors

d)

decimal descriptors

6.

Which of the following is true about hypothesis testing?

a)

answering yes/no questions about the data

b)

estimating numerical characteristics of the data

c)

describing associations within the data

d)

modeling relationships within the data

7.

Which of the following is true about exploratory data analysis?

a)

answering yes/no questions about the data

b)

estimating numerical characteristics of the data

c)

describing associations within the data

d)

modeling relationships within the data

8.

Which of the following is true about regression analysis?

a)

answering yes/no questions about the data

b)

estimating numerical characteristics of the data

c)

describing associations within the data

d)

modeling relationships within the data

9.

Text Analytics, also referred to as Text Mining?

a)

TRUE

b)

FALSE

c)

Can be TRUE or FALSE

d)

Cannot say

10.

Data Analytics uses ---------- to get insights from data

a)

Statistical figures

b)

Numerical aspects

c)

Statistical methods

d)

None of the mentioned above

11.

Linear regression analysis is used to predict the value of a variable based on

the value of another variable

a)

TRUE

b)

FALSE

12.

___ are used when we want to visually examine the relationship between

two quantitative variables

a)

Bar graph

b)

Scatter plot

c)

Line graph

d)

Pie chart

13.

A graph that uses vertical bars to represent data is called a ____

a)

Bar graph

b)

Scatter plot

c)

Line graph

d)

Pie chart

14.

For each value of the ___, the distribution of the dependent variable must

be normal

a)

Independent variable

b)

Depended variable

c)

Intermediate variable

d)

None of the given

15.

If the populations mean return is equal to zero, then it is called as ...............

a)

Null Hypothesis

b)

Alternate Hypothesis

c)

Simple Hypothesis

d)

None of the given

16.

Correlation is the relationship between ------------ variables

a)

one

b)

two

c)

zero

d)

all the given

17.

Predictive analytics involves taking historical data

a)

TRUE

b)

FALSE

18.

___ are the basic building blocks of qualitative data

a)

Categories

b)

Data chunk

c)

Numeric figures

d)

None of the mentioned

19.

Tableau and PowerBI are ________ tools

a)

Visualization

b)

Analytical

c)

Data Exploration

d)

All of the mentioned

20.

Outliers can be identified by ________

a)

Bar chart

b)

Box plot

c)

Scatter plot

d)

All of the given