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1st Year Computer Chapter 5 Test1st Year · Computer · Punjab (PTB)
Q1. Multiple choice questions (Attempt all · 10 × 1 = 10)
In a linear regression model, what is the role of the intercept?
When is it acceptable to remove rows with missing data?
Which subjects were used to cluster students in the example?
Which chart is used to explore the relationship between two variables?
Why should we label the axes in a chart?
What kind of students did Group 1 contain in the example?
What is the first step in K-means clustering?
Which data collection method involves asking a predefined set of questions?
Which of the following is NOT a part of data cleaning?
An example of a real-world application of statistical models:
Q2. Short questions (Attempt any 6 of 8 · 6 × 2 = 12)
Which two common tools can be used to create data visualizations easily?
What is data preparation?
How do you find the median of a dataset with an even number of values?
What is the mean of the dataset: 50, 52, 55, 57, 60?
What does K-means clustering require you to decide in advance?
What is meant by handling missing data?
Why should a model be regularly updated?
How does visualizing data help in understanding descriptive statistics?
Q3. Long questions (Attempt any 2 of 3 · 2 × 4 = 8)
Explain the importance of standard deviation in statistical analysis and how it helps in understanding data variation.
Explain the purpose and use of different types of data visualizations with suitable examples.
What is K-means clustering and how does it work in grouping students based on subject performance?