# NPTEL Data Analytics With Python Assignment 10 Answers 2022

NPTEL Data Analytics With Python Assignment 10 Answers 2022:- All the Answers provided below to help the students as a reference, You must submit your assignment at your own knowledge.

## What is Data Analytics with Python?

Data Analytics with Python is a fun-filled whirlwind tour of 30 hrs, covering everything you need to know to fall in love with the most sought-after skill of the 21st century. This course includes examples of analytics in a wide variety of industries, and we hope that students will learn how you can use analytics in their careers and life. One of the most important aspects of this course is that you, the student, are getting hands-on experience creating analytics models we, the course team, urge you to participate in the discussion forums and to use all the tools available to you while you are in the course

## CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of the average of best 8 assignments out of the total 12 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF THE AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

## NPTEL Data Analytics with Python Assignment 10 Answers 2022:-

Q1. Sampling distribution for the goodness of fit test is the

a. Poisson distribution
b. t distribution
c. normal distribution
d. chi-square distribution

Q2. The goodness of fit test is always conducted as a

• lower-tail test
• upper-tail test
• middle test
• None of these

Q3. State True or False: Statement: Null hypothesis for the chi-square test of independence assumes that all the proportions are equal.

• True
• False

Q4. Statistical test conducted to determine whether to reject or not reject a hypothesized probability distribution for a population is known as a ________

• contingency test
• probability test
• goodness of fit test
• None of these

Q5. What is the minimum no. of variables/ features required to perform clustering?

• 3

Q6. State True or False: The chi-square test of independence is used to analyze the frequencies of two variables with multiple categories and determine whether they are independent

• True
• False

Q7. State True or False: Minkowski distance is a generalization of both Euclidean and Manhattan metrics

• True
• False

Q8. In order to perform the chi-square test to check independence in python using scipy, we import _________

• chi2_test
• chi_square_independence
• chi2_contingency
• None of these

Q9. Let x1 = (1,2) and x2 = (3,5) be the co-ordinates for two objects. The Euclidean and Manhattan distance between these two objects is __________ respectively

• 4.2 and 3
• 3.15 and 2
• 3.61 and 5
• None of these

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Q10. State true or false: Discriminant Analysis does not require the grouping variable to be known at the beginning

• True
• False