This set of MCQ(multiple choice questions) will help you with the answers of **Data Analytics with Python NPTEL Week 10 Assignment Solutions**.

### Course layout

** Week 1: Basics of Python Spyder**Week 2 :

**Introduction to probability**

**Week 3 : Sampling and sampling distributions**

**Week 4 : Hypothesis testing**

**Week 5 : Two sample testing and introduction to ANOVA**

**Week 6 : Two way ANOVA and linear regression**

**Week 7 : Linear regression and multiple regression**

**Week 8 :**

**Concepts of MLE and Logistic regression**

**Week 9 : ROC and Regression Analysis Model Building**

**Week 10 : c**

^{2}Test and introduction to cluster analysis

**Week 11 : Clustering analysis**

**Week 12 : Classification and Regression Trees (CART)**

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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)

**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)

**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)

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