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Data Science

Total questions: 30

Worksheet time: 27mins

Name
Class
Date
1.

Q1. What is meant by a correlation?

a)

A. The relationship between two or more variables

b)

B. When there is an upward trend in a graph

c)

C. When there is a set of data that doesn’t lie in the normal or expected range

d)

D. When data is placed in a graph

2.

Q6. The following graph shows the annual average temperatures recorded by a weather station over a period of 20 years. Identify the outlier in the data.

a)

A. Point A

b)

B. Point B

c)

C. Point C

d)

D. Point D

3.

Q14. What was the difference between the cars sold on Monday and Tuesday than the cars sold on Friday and Saturday? (1 mark)

a)

4

b)

3

c)

2

d)

1

4.

Sequential Modelling is done on

a)

ANN

b)

RNN

c)

KNN

d)

CNN

5.

Data has been collected on visitors' viewing habits at a bank's website. Which technique is used to identify pages commonly viewed during the same visit to the website?

a)

Clustering

b)

Association Rules

c)

Classification

d)

Regression

6.

You have been assigned to run a logistic regressionmodel for each of 100 countries, and all the data is currently stored in a PostgreSQL database. Which tool/library would you use to produce these models with the least effort?

a)

MADlib

b)

Mahout

c)

RStudio

d)

HBase

7.

Which of the following of a random variable is a measure of spread?

a)

Empirical mean

b)

Standard deviation

c)

Variance

d)

All of the above

8.

Which of the following testing is concerned with making decisions using data?

a)

Probability

b)

Casual

c)

Hypothesis

d)

Non of the above

9.

Which of the following model is usually gold standard for data analysis?

a)

Inferential

b)

Casual

c)

Descriptive

d)

All of the above

10.

Weighted Average is used in

a)

Forecasting

b)

Classification

c)

Regression

d)

All of the above

11.

Which of the following is characteristic of Processed Data?

a)

All steps should be noted

b)

Hard to use for data analysis

c)

Data is not ready for analysis

d)

None of the above

12.

In Supervised Learning :

a)

The algorithm finds the right way to deal with a problem in successive iterations

b)

Algorithm derives rules from unqualified data

c)

The algorithm learns from qualified data

13.

Steps in Data Science

a)

Data Modeling ->Data Acquisition -> Clean Data ->Data Analysis ->Deployment and optimization

b)

Data Acquisition -> Clean Data ->Data Analysis -> Data Modeling ->Deployment and optimization

c)

Clean Data ->Data Analysis -> Data Modeling ->Deployment and optimization -> Data Acquisition

d)

Data Modeling ->Data Acquisition -> Clean Data ->Data Analysis ->Deployment and optimization

14.

Data from Facebook, Instagram, Twitter, Blogs are considered __________ data.

a)

Unstructured/Internal

b)

Unstructured/External

15.

___________ is the last step of Data Science Project Lifecycle (DSPLC).

a)

Data acquisition

b)

Data preparation

c)

Deployment

d)

Optimization

16.

A sample in which each individual or object in the entire population has an equal chance of being selected.

a)

Non Probability Random Sample

b)

Probability Random Sample

c)

Biased Sample

d)

Population

17.

The value appearing at the center of a sorted version of a list, or the mean of the two central values.

a)

Median

b)

Mean

c)

Range

d)

Modus

18.

Which of the following are "Measures of Central Tendency"?

a)

Range, Standard Deviation, Variance

b)

Mean,Range, Mode

c)

Mean, Standard Deviation, Range

d)

Mode, Mean, Median

19.

Will filters work when we do data blending?

a)

True

b)

False

20.

Data Science is

a)

The science of creating data.

b)

It is a branch of Social Studies.

c)

Multidisciplinary study of data collections for analysis, prediction, learning and prevention.

d)

It is a specialized field of study under Artificlal Intelligence

21.

Which of the following are Continuous Quantitative Data?

a)

Observations & Errors

b)

Observations & Time

c)

Time & Height

d)

Time & Errors

22.

Which of the following is true?

a)

Means are correct!

b)

Means are lies!

c)

Means with confidence intervals are lies!

d)

Means with confidence intervals are incorrect!

23.

A hypothesis associated with a contradiction to a theory one would like to prove.

a)

Null hypothesis

b)

Alternative hypothesis

c)

One hypothesis

d)

Alpha

24.

Can be described as inconsistencies and uncertainty in data

a)

Volume

b)

Value

c)

Veracity

d)

Variety

e)

Velocity

25.

Binary Logistic Regression following distribution?

a)

Normal

b)

Poisson

c)

Bernouli

d)

Binomial

26.

Which of the following characteristic of big data is relatively more concerned to data science ?

a)

Velocity

b)

Variety

c)

Volume

d)

None of the Mentioned

27.

Which of the following step is performed by data scientist after acquiring the data ?

a)

Data Integration

b)

Data Replication

c)

Data Cleansing

d)

All of the Mentioned

28.

Which of the following of a random variable is a measure of spread?

a)

Empirical mean

b)

Standard deviation

c)

Variance

d)

All of the above

29.

Weighted Average is used in

a)

Forecasting

b)

Classification

c)

Regression

d)

All of the above

30.

Which of the following diagram is used to view correlation?

a)

Corrgram

b)

Triangle

c)

Boxplot

d)

Histogram