1st Year Computer Chapter 4 Test4. Data and Analysis

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

1. If there are some flaws in data collection method, after analyzing such data the result would be more _________.
   1. Accurate
   2. Huge
   3. No result can be drawn
   4. Erroneous
2. For accurate data collection, an existing data from ________ is acquired.
   1. Sampling dapartment
   2. Modeling techinques
   3. Meteorological department
   4. Educational department
3. Natural disaster prediction helps the people to take preventive measures against __________.
   1. Pandemic
   2. Cyclones
   3. Data analysis
   4. Temperature
4. A linear regression model is a mathematical equation that allows us to predict a response for given _________.
   1. Predictor value
   2. Variable
   3. Intercepts
   4. Model
5. Clustering algorithms are examples of __________.
   1. Classical learing
   2. Professional learning
   3. Unsupervised learning
   4. Cognitive learning
6. During summer people of hot regions consume more cold items. This information is called ___________.
   1. Parameter
   2. Population
   3. Statistics
   4. Random sample
7. A point where graph line meet the y-axis is called __________.
   1. Y-axis
   2. Y-intercept
   3. Y-coordinates
   4. Y-dimensions
8. Supervised learning is one of the main category of __________.
   1. Statistical modeling
   2. Data waggling
   3. Data collection
   4. Evaluation modeling
9. Experimental design is a tool used to ___________ the result effectively.
   1. Add
   2. Evaluate
   3. Organize
   4. Test
10. We can create our own database by generating some random number by using ____________.
    1. Python code
    2. Data code
    3. System code
    4. Pseudo code