# Data Analytics with Python | NPTEL | Week 10 Assignment Solutions

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### Data Analytics with Python NPTEL Week 10 Assignment Solutions

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

a) lower-tail test
b) upper-tail test
c) middle test
d) 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.

a) True
b) False

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

a) contingency test
b) probability test
c) goodness of fit test
d) None of these

Data Analytics with Python NPTEL Week 10 Assignment Solutions

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

a) 0
b) 1
c) 2
d) 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

a) True
b) False

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

a) True
b) False

Data Analytics with Python NPTEL Week 10 Assignment Solutions

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

a) chi2_test
b) chi_square_independence
c) chi2_contingency
d) 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

a) 4.2 and 3
b) 3.15 and 2
c) 3.61 and 5
d) None of these

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

a) True
b) False

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