Top 30 Statistics in Data Science Multiple Choice Questions (MCQs) with Answers

1 .

How many categories are in Statistics?

A)

2

B)

3

C)

4

D)

5

Correct Answer : 2

Explanation : Statistics is divided into two categories: descriptive statistics and inferential statistics.

* Descriptive statistics makes use of data to describe the population, either through numerical computations, graphs, or tables.

* Inferential Statistics draws conclusions and makes predictions about a population based on a sample of data drawn from that group.

2 .

What is true about Statistics?

A)

Statistics is used to process simple problems in the real world

B)

Statistics is used to process simple problems in the virtual world

C)

Statistics is used to process complex problems in the real world

D)

None of the above

Correct Answer : Statistics is used to process complex problems in the real world

Explanation : Statistics is used to process complex problems in the real world so that Data Scientists and Analysts can look for meaningful trends and changes in Data.

3 .

Who is better at statistics than any programmer?

A)

Data Science

B)

Data Scientist

C)

Machine Learning

D)

None of the above

Correct Answer : Data Scientist

Explanation : * A data scientist is someone who is more skilled at statistics than any programmer and more skilled at programming than any statistician.

* Math and Statistics are vital for Data Science since they form the foundation of all Machine Learning Algorithms.

* Indeed, mathematics is everything around us, from forms, patterns, and colors to the number of petals in a flower.

* Mathematics is present in every part of our existence.

4 .

What is the main role of Statistical functions, principles, and algorithms?

A)

predict the result

B)

to analyze raw data

C)

build a Statistical Model

D)

All of the above

Correct Answer : All of the above

Explanation : Several Statistical functions, principles, and algorithms are implemented to analyze raw data, build a Statistical Model and infer or predict the result.

5 .

A variable may also be called a _______.

A)

Data Set

B)

Data Item

C)

Data Value

D)

Data variable

Correct Answer : Data Item

Explanation : A Variable is any characteristics, number, or quantity that can be measured or counted. A variable may also be called a data item.

6 .

In how many ways, analysis of any event can be done?

A)

2

B)

3

C)

4

D)

5

Correct Answer : 2

Explanation : An analysis of any event can be done in one of two ways: Quantitative Analysis and Qualitative Analysis.

7 .

What are the basic building blocks of Machine learning algorithms?

A)

Math

B)

Statistics

C)

Both (A) and (B)

D)

None of the above

Correct Answer : Both (A) and (B)

Explanation : Machine learning algorithms are built on the foundations of mathematics and statistics. To be a successful Data Scientist, we must first understand the fundamentals.

Math and statistics are the foundations of Machine Learning algorithms. It is critical to understand the techniques underlying various Machine Learning algorithms in order to determine when and how to use them.

8 .

Machine Learning algorithms are having data-driven approach to become a Data Scientist.

A)

True

B)

False

C)

Can Not Say

D)

None of the above

Correct Answer : True

Explanation : Machine Learning techniques and a data-driven approach are required to become a Data Scientist; however, Data Science is not limited to these domains. Math and statistics are important in Data Science because they may be utilized to develop Machine Learning models.

9 .

Which Analysis is known as Non-Statistical Analysis?

A)

Quantitative Analysis

B)

Qualitative Analysis

C)

Both (A) and (B)

D)

None of the above

Correct Answer : Qualitative Analysis

Explanation : Qualitative or Non-Statistical Analysis gives generic information and uses text, sound and other forms of media to do so.

10 .

________ Statistics makes inferences and predictions about a population based on a sample of data taken from the population in question.

A)

Qualitative

B)

Descriptive

C)

Inferential

D)

Quantitative

Correct Answer : Inferential

Explaination : Inferential Statistics makes inferences and predictions about a population based on a sample of data taken from the population in question.

11 .

Statistics is a Mathematical Science pertaining to ____.

A)

Analysis

B)

Data collection

C)

Interpretation and presentation

D)

All of the above

Correct Answer : All of the above

Explanation : Statistics is a Mathematical Science that deals with the gathering, analysis, interpretation, and presentation of data.

Statistics is utilized in the real world to analyze complicated issues so that Data Scientists and Analysts may seek for relevant trends and changes in data.

Statistics, in a nutshell, may be used to gain useful insights from data by doing mathematical computations on it.

12 .

____ generalizes a large data set and applies probability to arrive at a conclusion.

A)

Data science

B)

Inferential statistics

C)

Descriptive Statistics

D)

None of the above

Correct Answer : Inferential statistics

Explanation : Inferential statistics generalizes a broad amount of data and employs probability to get a conclusion. It enables us to infer population parameters from sample statistics and develop models based on them.

We may use inferential statistics to construct predictions ("inferences") based on the data. We use inferential statistics to generate generalizations about a population based on data from samples.

13 .

________Statistics uses the data to provide descriptions of the population, either through numerical calculations or graphs or tables.

A)

Inferential

B)

Qualitative

C)

Descriptive

D)

Quantitative

Correct Answer : Descriptive

Explaination : Descriptive Statistics uses the data to provide descriptions of the population, either through numerical calculations or graphs or tables.

14 .

The value most recurrent in the sample set is known as ________.

A)

Mode

B)

Mean

C)

Median

D)

Standard Deviation

Correct Answer : Mode

Explanation : The value most recurrent in the sample set is known as Mode.

15 .

Which language is commonly used with Statistics?

A)

C

B)

C++

C)

R

D)

Ruby

Correct Answer : R

Explanation : R language is commonly used with Statistics

16 .

____ helps organize data and focuses on the characteristics of data providing parameters.

A)

Inferential Statistics

B)

Descriptive Statistics

C)

Both (A) and (B)

D)

None of the above

Correct Answer : Descriptive Statistics

Explanation : Descriptive statistics aids in data organization and focuses on data qualities by giving parameters.

Descriptive statistics are short descriptive coefficients that describe a particular data set, which might be a representation of the complete population or a sample of the population.

Measures of central tendency and measures of variability are two types of descriptive statistics (spread).

The mean, median, and mode are examples of measurements of central tendency, whereas standard deviation, variance, minimum and maximum variables, kurtosis, and skewness are examples of measures of variability.

17 .

The ____ is simply the square root of the variance and measures the extent to which data varies from its mean.

A)

Mean

B)

Mode

C)

Both (A) and (B)

D)

Standard deviation

Correct Answer : Standard deviation

Explanation : The standard deviation is just the square root of the variance, and it represents how much data deviates from its mean.

The standard deviation is frequently favored over the variance because it has the same unit as the data points, making it easier to read.

18 .

Variance describes how much a random variable differs from its expected value. It entails computing squares of deviations.

A)

True

B)

False

C)

Can not say

D)

None of the above

Correct Answer : True

Explaination : The variance of a random variable defines how much it deviates from its predicted value. It requires calculating deviation squares.

The difference between each element and the mean is referred to as the deviation.

The population variance is the sum of the squared deviations. The sample variance is the average of the squared deviations from the mean.

19 .

Quantitative Analysis refers to ______.

A)

Data collection

B)

Data interpretation

C)

Identify patterns and trends

D)

All of the above

Correct Answer : All of the above

Explanation : The discipline of gathering and analyzing data with numbers and graphs to detect patterns and trends is known as quantitative analysis or statistical analysis.

Quantitative analysis is a strategy for understanding behavior that employs mathematical and statistical modeling, measurement, and investigation.

A particular reality is represented numerically by quantitative analysts. Quantitative analysis is used to measure, evaluate, and value financial instruments, as well as anticipate real-world occurrences.

20 .

Result disproves the assumption is known as?

A)

Alternate Hypothesis

B)

Null Hypothesis

C)

Immediate Hypothesis

D)

All of the above

Correct Answer : Alternate Hypothesis

Explanation : Alternate Hypothesis: Result disproves the assumption.

21 .

Chebyshev's inequality states that the probability of a "Six Sigma" event is less than __________.

A)

0.01

B)

0.02

C)

0.03

D)

0.04

Correct Answer : 0.03

Explanation : If a bell curve is assumed, the probability of a "six sigma" event is on the order of one ten millionth of a percent.

22 .

Which are the measures of the center?

A)

Mean

B)

Mode

C)

Median

D)

All of the above

Correct Answer : All of the above

Explanation : The measurements of the centre are the mean, median, and mode. The average number obtained by summing all data points and dividing the total number of data points by the total number of data points.

The middle number is obtained by sorting all of the data points and selecting the one in the centre. The most common number—that is, the number that appears the most frequently.

23 .

Several Statistical functions, principles and algorithms are implemented to _______.

A)

Data Mining

B)

Analyze raw data

C)

Data interpretation

D)

None of the above

Correct Answer : Analyze raw data

Explanation : Several statistical functions, concepts, and algorithms are used to examine raw data, construct a statistical model, and infer or forecast the outcome.

Statistics has an impact on all aspects of life, including the stock market, life sciences, weather, retail, insurance, and education, to mention a few.

24 .

Central tendency measures like, mean, median, or measures of the spread, etc are used for statistical analysis.

A)

True

B)

False

C)

Can not say

D)

None of the above

Correct Answer : True

Explaination : Data is represented graphically in the form of graphs such as histograms, line plots, and so on. The data is represented using some sort of central tendency. For statistical analysis, central tendency measurements such as mean, median, or measures of the spread, among others, are utilized.

25 .

Which of the following inequality is useful for interpreting variances?

A)

Testory

B)

Stautaory

C)

Chebyshev

D)

None of the above

Correct Answer : Chebyshev

Explanation : Chebyshev's inequality is also spelled as Tchebysheff's inequality.

26 .

It is the measure of variability, based on dividing a data set into quartiles.

A)

Range

B)

Deviation

C)

Standard Deviation

D)

Inter Quartile Range

Correct Answer : Inter Quartile Range

Explanation : Inter Quartile Range (IQR): It is the measure of variability, based on dividing a data set into quartiles.

27 .

What does it mean to weave a literate statistical program?

A)

Convert a program from S to python

B)

Convert a program to decompress it

C)

Convert the program into a human readable document

D)

None of the above

Correct Answer : Convert the program into a human readable document

Explanation : Literate Statistical Programming can be done with knitr.

28 .

Which of the following is a goal of literate statistical programming?

A)

Combine explanatory text and data analysis code in a single document

B)

Require those data analysis summaries are always written in R

C)

Ensure that data analysis documents are always exported in JPEG format

D)

All of the above

Correct Answer : Combine explanatory text and data analysis code in a single document

Explanation : Literate Statistical Practice is a programming methodology.

29 .

What is true about Statistics In R?

A)

Statistics In R is cross-platform compatible

B)

Statistics In R is a powerful scripting language

C)

Statistics In R is open-source and freely available

D)

All of the above

Correct Answer : All of the above

Explanation : All is true regarding Statistics In R.

30 .

Which of the following is also referred to as random variable?

A)

eliette

B)

aleatory

C)

stochast

D)

None of the above

Correct Answer : aleatory

Explanation : Random variable is also known as stochastic variable.

31 .

Which of the following tool documentation language is supported by knitr?

A)

HTML

B)

LaTeX

C)

Android

D)

RMarkdown

Correct Answer : RMarkdown

Explanation : knitr is available on CRAN.

32 .

Point out the wrong statement in Statistics in Data Science.

A)

There are three types of random variable

B)

Continuous random variable can take any value on the real line

C)

A random variable is a numerical outcome of an experiment

D)

All of the above

Correct Answer : There are three types of random variable

Explanation : There are two types of random variable- continuous and discrete.

33 .

Which of the following disadvantage does literate programming have?

A)

No logical order

B)

Code is not automatic

C)

Slow processing of documents

D)

All of the above

Correct Answer : Slow processing of documents

Explanation : Code and text is in one place.