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

Which visualizatio is best for comparing categories.

Question # 2

What does ethics in daa sciecne include.

Question # 3

Which step tests how well the model performs.

Question # 4

What is the square root of varieance

Question # 5

What technique estimats missing values using average.

Question # 6

Which model predicts categorical outcomes.

Question # 7

Which tool is commonly used for creating visualizations.

Question # 8

Which step defines the problem in model building 

Question # 9

An example of a real world application of statistical models.

Question # 10

Which model predicts continuous numeric value

Question # 11

Numeric and measurable data is called

Question # 12

When is data removal acceptable

Question # 13

Which measure shows the mostfrequently occurring value. 

Question # 14

What is data analystics

Question # 15

What is the first step after collecting data.

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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

Which model uses a decision threshold.

A.

Linear regression

B.

Logistic regression

C.

K means clustering 

D.

pca

2

Which chart is used to show distribution of data.

A.

Line graph

B.

Histogram

C.

Pie chart

D.

Boxplot

3

Statistics is a brance of 

A.

Physics

B.

Chemistry

C.

Mathematics

D.

Biology

4

Which measure shows the mostfrequently occurring value. 

A.

Mean

B.

Median

C.

Mode

D.

Variance

5

What is the first step after collecting data.

A.

Visualization 

B.

Data preparation

C.

Modeling

D.

Presentation

6

Which model predicts continuous numeric value

A.

Logistic regression

B.

Linear regression

C.

k-means clustering

D.

Accuracy

7

When is data removal acceptable

A.

When many rows are missing

B.

When only a few rows are missing 

C.

Always

D.

Never

8

What technique estimats missing values using average.

A.

Impulation

B.

Interpolation

C.

Flagging

D.

Removal

9

A standard deviation of 0 indicates.

A.

Data is highly variable 

B.

Data is normally distributed

C.

All values are teh same

D.

Data is missing

10

Data cleaning involves

A.

Adding more data

B.

Removing errors and inconsistencies

C.

Creating charts

D.

Writing reports

Test Questions

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