Computer 9th Chap 4 : Topic 2.18 - Maryam Publications

Computer Chapter 4 : Topic 2.18

Missing Data

1 / 6

While examining a dataset containing student names, ages, and marks, a student notices that some age values are blank. These blank entries are best described as:

A) Numerical data

B) Missing data

C) Processed data

D) Duplicate data

2 / 6

A researcher wants to identify missing data before analyzing a dataset in RStudio. Why is this step important?

A) To improve the accuracy and reliability of analysis

B) To convert all data into text

C) To reduce monitor brightness

D) To increase internet speed

3 / 6

In a dataset, one student's record contains a name and marks, but the age field is empty. What should the empty field be considered?

A) Duplicate record

B) Valid numerical data

C) Extra data

D) Missing data

4 / 6

Which of the following situations most clearly indicates the presence of missing data in a dataset?

A) A column contains text values instead of numbers

B) A student's mark is recorded as 80

C) Data is stored in a CSV file

D) Several records have blank cells where values should exist

5 / 6

A dataset contains 100 survey responses, but some participants did not answer one question. What is the result in the dataset?

A) Missing data

B) Duplicate data

C) Encrypted data

D) Compressed data

6 / 6

After identifying missing data in a dataset, what is the main benefit before performing analysis?

A) The file format changes automatically

B) Potential errors and misleading results can be reduced

C) Data collection starts again automatically

D) The dataset becomes larger automatically

Your score is

0%