Computer 9th Chap 4 : Topic 2.20 - Maryam Publications

Computer Chapter 4 : Topic 2.20

Variable Analysis

1 / 11

A dataset shows a strong positive relationship between hours of study and exam marks. What is the most logical explanation for this relationship?

A) Studying reduces exam difficulty automatically

B) Study hours have no effect on learning

C) More study time usually improves understanding and performance

D) Exam marks are randomly assigned

2 / 11

A dataset shows no clear relationship between students’ shoe size and their exam scores. What is the best explanation for this?

A) Exam scores depend on shoe size

B) Larger shoes improve memory

C) Shoe size directly affects intelligence

D) The variables are unrelated and independent

3 / 11

In a dataset, higher temperatures are associated with increased ice cream sales. What is the most reasonable explanation?

A) Ice cream changes the weather

B) Data is always incorrect

C) Temperature causes people to buy more cold food

D) Sales randomly affect temperature

4 / 11

A graph shows no relationship between the number of books in a house and the height of children living there. Why might this be the case?

A) Books reduce growth

B) The variables are not causally related

C) Books affect human height

D) Height determines number of books

5 / 11

A dataset shows a weak relationship between sleep hours and academic performance. What could explain this?

A) Sleep has no effect at all on the brain

B) Sleep destroys memory

C) Data collection is always wrong

D) Other factors like stress, study habits, or health also influence performance

6 / 11

A correlation is observed between number of umbrellas sold and rainfall levels. What explains this relationship?

A) Umbrellas create rain

B) Sales randomly affect weather

C) Umbrellas reduce temperature

D) Rain increases demand for umbrellas

7 / 11

A dataset shows no relationship between daily internet usage and students’ height. What is the most appropriate explanation?

A) Internet usage affects height

B) There is no logical connection between the variables

C) Height is determined by screen time

D) Internet improves physical growth

8 / 11

A positive relationship is observed between revision time and test performance. Why might this relationship exist?

A) Revision changes exam questions

B) Revision improves understanding and recall of information

C) Time always increases marks randomly

D) Tests automatically become easier with time

9 / 11

A dataset shows that students who live farther from school sometimes arrive later, but the relationship is not perfect. Why?

A) Distance is the only factor affecting time

B) School timing changes randomly

C) Traffic, transport, and delays also affect arrival time

D) Distance has no influence at all

10 / 11

Why might two variables in a dataset show no apparent relationship even after analysis?

A) Because graphs remove relationships

B) Because data is always incorrect

C) Because computers cannot detect patterns

D) Because variables may be independent or influenced by different factors

11 / 11

A dataset shows a relationship between advertising spending and product sales. What is the most likely explanation for this trend?

A) Increased advertising improves product visibility, leading to higher sales

B) Sales determine advertising randomly

C) There is no logical explanation possible

D) Advertising reduces product quality

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