gs gs119 Data Preprocessing - Data Cleaning and Data Integration - Quiz No.1
gs gs119 Data Science Quiz
This quiz belongs to book/course code gs gs119 Data Science of gs organization. We have 29 quizzes available related to the book/course Data Science. This quiz has a total of 10 multiple choice questions (MCQs) to prepare and belongs to topic Data Preprocessing. NVAEducation wants its users to help them learn in an easy way. For that purpose, you are free to prepare online MCQs and quizzes.
NVAEducation also facilitates users to contribute in online competitions with other students to make a challenging situation to learn in a creative way. You can create one to one, and group competition on an topic of a book/course code. Also on NVAEducation you can get certifications by passing the online quiz test.
Question 1: What are the expected values for the attributes No. of hours studied and Marks scored?
| Student | No of hours Studied | Marks Scored |
|---|---|---|
| 1 | 5 | 80 |
| 2 | 6 | 82 |
| 3 | 10 | 95 |
7, 85.6
8, 87.2
9, 76.9
5, 67.8
Question 2: What is the covariance between the attributes No. of hours studied and Marks scored for the given data?
| Student | No of hours Studied | Marks Scored |
|---|---|---|
| 1 | 5 | 80 |
| 2 | 6 | 82 |
| 3 | 10 | 95 |
Positive
Negative
No relation
Zero covariance
Question 3: Covariance between two attributes is termed as variance when the two attributes are _____
Identical
Different
Binary
Nominal
Question 4: If Sa represents the standard deviation of the attribute a, Cov (a, b) represents the covariance between attributes a and b, the correlation coefficient for the two attributes is given by _____
Cov (a, b)/ Sa Sb
Cov2 (a, b)/ Sa Sb
Cov (a, b)/ S2a S2b
Cov2 (a, b)/ S2a S2b
Question 5: Which of the following is not an example of data value conflicts?
Height in meters in one database and in centimeters in the other
Currency in dollars in one database and in rupees in the other
Weight in kilograms in one database and in kilograms in the other
Grading as 1 to 4 I one university database and as A to D in the other
Question 6: Which of the following is a factor in data discrepancy?
Redundant tuple
Reversed data
Data decay
Copied tuple
Question 7: Which of the following is not a factor in data discrepancy?
Inconsistent data representation
Too many attributes
Human errors
Data integration
Question 8: The data which informs about the properties about data is known as _____
Meta data
Data attributes
Data codes
Data factors
Question 9: Field overloading is _____
Using already used bits of an attribute to define new attribute
Using unused bits of an attribute to define new attribute
Using first three bits of an attribute to define new attribute
Using last one bit of an attribute to define new attribute
Question 10: The unique rule for an attribute specifies that _____
Each value of the attribute should be unique
Most values of the attribute should be unique
The first and last values of the attribute should be unique
The mean, median and mode values should be unique
Online Quizzes of gs119 Data Science
Data Mining Basics - What Kind of Data can be Mined - Quiz No.1
gs gs119
Data Science Online Quizzes
