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}Â Test and introduction to cluster analysis

**Week 11 : Clustering analysis**

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

**NOTE:** You can check your answer immediately by clicking show answer button. Moreover, this set of “Data Analytics with Python NPTEL Week 10 Assignment Solution” contains 10 questions.

Now, start attempting the quiz.

### 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)

**<< Prev- Data Analytics with Python Week 9 Assignment Solutions**

>> Next-Data Analytics with Python Week 11 Assignment Solutions

DISCLAIMER:Use these answers only for the reference purpose. Quizermania doesn't claim these answers to be 100% correct. So, make sure you submit your assignments on the basis of your knowledge.

*For discussion about any question, join the below comment section. And get the solution of your query.* Also, try to share your thoughts about the topics covered in this particular quiz.