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Punjab (PTB) · Chapter test · Free

1st Year Computer Chapter 5 TestData Analytics

30 marks · 40 minutes · 21 questions. Covers: CHAP 5: Data Analytics.

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1st Year Computer Chapter 5 Test

1st Year · Computer · Punjab (PTB)

Name: ____________Roll No: ________Class/Section: ________Date: ________Total marks: 30Time: 40 minutes

Q1. Multiple choice questions (Attempt all · 10 × 1 = 10)

  1. In a linear regression model, what is the role of the intercept?

    1. It shows how much X changes with Y

    2. It is the error value

    3. It represents the starting value of Y when X is zero

    4. It removes outliers

  2. When is it acceptable to remove rows with missing data?

    1. When all the data is missing

    2. When only a few entries are missing 

    3. When the data is complete

    4. When the values are zero

  3. Which subjects were used to cluster students in the example?

    1. History and Science

    2. Math and English

    3. Science and Art

    4. Math and Geography

  4. Which chart is used to explore the relationship between two variables?

    1. Histogram

    2. Line graph

    3. Scatterplot

    4. Bar chart

  5. Why should we label the axes in a chart?

    1. To make the chart colorful

    2. To decorate the page

    3. To make the chart easier to read and understand

    4. To hide the data

  6. What kind of students did Group 1 contain in the example?

    1. Students weak in all subjects

    2. Students good at English

    3. Students good at math

    4. Students who are absent

  7. What is the first step in K-means clustering?

    1. Training the model

    2. Choosing an algorithm

    3. Deciding the number of clusters

    4. Removing outliers

  8. Which data collection method involves asking a predefined set of questions?

    1. Observation

    2. Experiment

    3. Survey

    4. Interview

  9. Which of the following is NOT a part of data cleaning?

    1. Fixing missing values.

    2. Repeating data entries

    3. Removing duplicates

    4. Correcting wrong data

  10. An example of a real-world application of statistical models:

    1. Predicting house prices

    2. Creating social media posts

    3. Designing websites

    4. Writing essays

Q2. Short questions (Attempt any 6 of 8 · 6 × 2 = 12)

  1. Which two common tools can be used to create data visualizations easily?

  2. What is data preparation?

  3. How do you find the median of a dataset with an even number of values?

  4. What is the mean of the dataset: 50, 52, 55, 57, 60?

  5. What does K-means clustering require you to decide in advance?

  6. What is meant by handling missing data?

  7. Why should a model be regularly updated?

  8. How does visualizing data help in understanding descriptive statistics?

Q3. Long questions (Attempt any 2 of 3 · 2 × 4 = 8)

  1. Explain the importance of standard deviation in statistical analysis and how it helps in understanding data variation. 

  2. Explain the purpose and use of different types of data visualizations with suitable examples. 

  3. What is K-means clustering and how does it work in grouping students based on subject performance?