First Year Computer Science Chapter 5 Online MCQ Test for 1st Year Computer Science Chapter 5 (Computer Architercture)

ICS Part 1 Computer Science Chapter 5 Test

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ICS Part 1 Computer Science Chapter Wise Test

MCQ's Test For Chapter 5 "Computer Science Ics Part 1 Chapter 5 Online Test"

Try The MCQ's Test For Chapter 5 "Computer Science Ics Part 1 Chapter 5 Online Test"

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Computer Science Ics Part 1 Chapter 5 Online Test

00:00
Question # 1

If no numebr repeats in a dateset, what does it have.

Question # 2

Which step tests how well the model performs.

Question # 3

Which method allows researchers to understand cause eand effect relationships

Question # 4

Numeric and measurable data is called

Question # 5

Which tool is commonly used for creating visualizations.

Question # 6

Which measure indicates the "average" value in a dataset.

Question # 7

When is data removal acceptable

Question # 8

Which algorithm is used for predicting numerical values.

Question # 9

Standard deviationis.

Question # 10

In probability , what is the total numebr of outcomes called.

Question # 11

Watching and recording behavior without interactio is known as.

Question # 12

What does ethics in daa sciecne include.

Question # 13

An event with a probability of 0 is

Question # 14

What is data analystics

Question # 15

Which method  is best for understanding customer preferecnes.

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5th Chapter

11th Class ICS Computer Science Chapter 5 MCQ's Test

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ICS Part 1 Computer Science (New Book) Chapter 5 Important MCQ's

Sr.# Question Answer
1

What is the probability of gatting heads in a fair coin toss.

A.

0.5

B.

0.25

C.

0.75

D.

1

2

The meanign of “K” in K-Means Clustering.

A.

Numebr of features in the dataset

B.

Nuebr of clusters to be formed

C.

Number of iteration requiredfor converagence

D.

Number of data points in the datset

3

What does ethics in daa sciecne include.

A.

Data theft

B.

Fairness and bias

C.

Ignoring privacy

D.

Manipulating data

4

Which step tests how well the model performs.

A.

Model development

B.

Model evaluation

C.

Model training

D.

Model deployment

5

Option not considered a benefit of data visualization.

A.

Identifying trends and patterns

B.

Communicating insights effectively 

C.

Making data mroe complex

D.

Summarizing large datasets

6

What is the middle value hen data is arrranged in order

A.

Mean

B.

Mode

C.

Median

D.

Standard Deviation

7

Probabiliyt ranges between 

A.

-1 to 1

B.

0 to 1

C.

0 to 10

D.

1 to 100

8

A commonly used tool for creating data visualization 

A.

MS Excel

B.

Python 

C.

Tableau

D.

All of the above

9

Which measure indicates the "average" value in a dataset.

A.

Mean

B.

Median

C.

Mode

D.

Range

10

High Variance means.

A.

Data  points are close to the mean

B.

Data points are far from the mean

C.

All values are teh same

D.

There are missing values

Test Questions