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 : c2Â 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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