# 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

Answer: d)

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

Answer: b)

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

Answer: a)

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

Answer: c)

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

Answer: b)

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

Answer: a)

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

a) True
b) False

Answer: a)

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

Answer: c)

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

Answer: c)

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

a) True
b) False

Answer: b)

Data Analytics with Python NPTEL Week 10 Assignment Solutions

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