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"

  • Total Questions15

  • Time Allowed20

Computer Science Ics Part 1 Chapter 5 Online Test

00:00
Question # 1

Which of the following is not a tpe of data visualization.

Question # 2

Which tool is commonly used for creating visualizations.

Question # 3

What technique estimats missing values using average.

Question # 4

Which method involves asking a set of questions to a group

Question # 5

Option not considered a benefit of data visualization.

Question # 6

Which loss function is used in linear regression.

Question # 7

Which measure shows the mostfrequently occurring value. 

Question # 8

Data cleaning involves

Question # 9

What is data analystics

Question # 10

Which model uses a decision threshold.

Question # 11

What is clustering used for.

Question # 12

Watching and recording behavior without interactio is known as.

Question # 13

High Variance means.

Question # 14

When is data removal acceptable

Question # 15

What is data analytics

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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

Testing changes under controlled conditions is known as.

A.

Experiment

B.

Survey

C.

Observation

D.

Focus group

3

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

4

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

5

Which algorithm is used for predicting numerical values.

A.

Logistic regression 

B.

Linear regression

C.

k-means clustering

6

What is the square root of varieance

A.

Mean

B.

Standard deviation

C.

Median

D.

Mode

7

Which model uses a decision threshold.

A.

Linear regression

B.

Logistic regression

C.

K means clustering 

D.

pca

8

When is data removal acceptable

A.

When many rows are missing

B.

When only a few rows are missing 

C.

Always

D.

Never

9

What technique estimats missing values using average.

A.

Impulation

B.

Interpolation

C.

Flagging

D.

Removal

10

What is the first step after collecting data.

A.

Visualization 

B.

Data preparation

C.

Modeling

D.

Presentation

Test Questions

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  • Farooq Ahmad

    Farooq Ahmad

    07 Mar 2018

    i am best

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