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Introduction to Statistics

Total questions: 41

Worksheet time: 21mins

Name
Class
Date
1.

In rule based AI, the

a)

Rules are generated by human

b)

Rules are generated by machines

c)

Rules are generated by software

d)

None of the above

2.

Regression is used

a)

When the target variable is discrete

b)

When the target variable is categorical

c)

When the target variable is continuous

d)

All of the above

3.

Clustering is an example of

a)

Supervised Machine learning

b)

unsupervised machine learning

c)

semi-supervised machine learning

d)

None of the above

4.

Following is an example of discrete variable

a)

Grades

b)

Age

c)

Weight

d)

All of the above

5.

Following is an example of continuous variable

a)

Weight

b)

No of students

c)

Grades

d)

None of the above

6.

Following is an example of Rule based AI

a)

Industrial robots

b)

Alexa

c)

Recommendation engine

d)

None of the above

7.

When the machine performs the cognitive functions such as decision making, problem solving where the humans are good at, we call it _______

a)

Strong AI

b)

Weak AI

c)

Artificial intelligence

d)

Hybrid AI

8.

Amazon Echo is an example of

a)

Strong AI

b)

Hybrid AI

c)

Weak AI

d)

None of the above

9.

In ML based AI

a)

Rules are known

b)

Rules are unknown

c)

Rules are generated by human

d)

None of the above

10.

Classification is used

a)

When the output variable is discrete

b)

When the output variable is categorical

c)

When the output variable is ordinal

d)

All of the above

11.

In simple linear regression

a)

There is one dependent and one independent variable

b)

There are multiple independent variable

c)

There are multiple dependent variables

d)

None of the above

12.

Histogram is used

a)

To check the distribution of the data

b)

To normalize the data

c)

To standardize the data

d)

None of the above

13.

How you check the spread of the data

a)

Variance

b)

Std. Deviation

c)

IQR

d)

All of the above

14.

What is statistics?

a)

Study of past events

b)

Science of collecting and analyzing data

c)

Study of earth

d)

Collection of images

15.

What is the universal set in statistics called?

a)

Sample

b)

Group

c)

Population

d)

Collection

16.

What is a 'sample' in statistics?

a)

Full data set

b)

Subset of population

c)

Data from one group only

d)

No data

17.

Which is NOT a type of data?

a)

Numerical

b)

Alphabetical

c)

Categorical

d)

Both A and C

18.

Nominal data is best described as:

a)

Categorical with order

b)

Numerical and discrete

c)

Categorical without order

d)

Always binary

19.

Which is an example of ordinal data?

a)

Gender

b)

City name

c)

Grades in class

d)

Country

20.

Continuous data:

a)

Has finite values

b)

Changes with time, infinite possible values

c)

Only numbers from 1-10

d)

Is always categorical

21.

What are descriptive statistics used for?

a)

Making predictions

b)

Organizing and summarizing data

c)

Data visualization only

d)

None of the above

22.

Inferential statistics are used to:

a)

Visualize data

b)

Summarize large data

c)

Make inferences about population from sample

d)

Only calculate mean and median

23.

Which is NOT a measure of central tendency?

a)

Mean

b)

Median

c)

Variance

d)

Mode

24.

‘Mean’ is:

a)

The value that appears most

b)

The sum of values divided by count

c)

The middle value

d)

The difference of highest and lowest

25.

The median of 3, 5, 1 is:

a)

1

b)

3

c)

4

d)

5

26.

Mode refers to:

a)

The largest value

b)

The smallest value

c)

The value appearing most frequently

d)

The average value

27.

Variance shows:

a)

The most common data

b)

How data points spread around the mean

c)

The sum of all values

d)

The code of data

28.

Standard deviation is:

a)

Always same as mean

b)

Square of variance

c)

Square root of variance

d)

Product of mean and mode

29.

Population variance divides by:

a)

n-1

b)

n

c)

2

d)

0

30.

What does CV (coefficient of variation) measure?

a)

Absolute variance

b)

Relative variability

c)

Type of data

d)

Data units only

31.

Descriptive statistics include:

a)

Mean, median, mode

b)

Regression analysis

c)

Estimation of parameters

d)

Hypothesis testing

32.

Which of the following best defines inferential statistics?

a)

Organizing data into tables

b)

Drawing conclusions from sample data about the population

c)

Visualizing data using bar charts

d)

Identifying outliers in data

33.

In supervised machine learning, which of the following techniques is used when the output variable is continuous?

a)

K-Means Clustering

b)

Classification

c)

Regression

d)

Association Mining

34.

What does standard deviation measure?

a)

The total sum of values

b)

Frequency of a variable

c)

Spread of data points around the mean

d)

Position of median

35.

Which measure is used to compare the spread of two different datasets with different units?

a)

Variance

b)

Mean

c)

Coefficient of Variation

d)

Mode

36.

What is an example of ordinal categorical data?

a)

Gender

b)

City

c)

Movie ratings

d)

Temperature

37.

Which AI type is designed for a specific task and lacks general thinking ability?

a)

Hybrid AI

b)

Strong AI

c)

Rule-based AI

d)

Weak AI

38.

What is the purpose of the np.linspace(0, 20, 4) function in NumPy?

a)

Generate 4 random integers between 0 and 20

b)

Create 4 evenly spaced values from 0 to 20

c)

Create a 4x4 array of 0s

d)

None of the above

39.

What is the purpose of hypothesis testing in statistics?

a)

To summarize data

b)

To make predictions

c)

To determine if there is enough evidence to support a claim

d)

To visualize data trends

40.

Which of the following is a characteristic of a continuous variable?

a)

It is limited to specific categories

b)

It cannot be measured

c)

It is always whole numbers

d)

It can take any value within a range

41.

What does a box plot represent?

a)

Only the mean and median of the data

b)

Distribution of data based on five summary statistics

c)

Frequency of each data point

d)

Correlation between two variables