# NPTEL Data Analytics with Python Assignment 5 Answers 2023

#### ByBrokenprogrammers

Feb 17, 2023

Hello Learners, In this Post, you will find NPTEL Data Analytics with Python Assignment 5 Week 5 Answers 2023. All the Answers are provided below to help the students as a reference don’t straight away look for the solutions.

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## NPTEL Data Analytics with Python Assignment 5 Answers 2023:

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• MST/MSE
• MSTR/MSE
• MSE/MSTR
• MSE/MST

#### Q.2. A term that means the same as the term “variable” in an ANOVA procedure is

• factor
• treatment
• replication
• variance within

• 3 and 30
• 4 and 30
• 3 and 119
• 3 and 116

#### Q.4. Which of the following is not a required assumption for the analysis of variance?

• The random variable of interest for each population has a normal probability distribution
• The variance associated with the random variable must be the same for each population
• At least 2 populations are under consideration
• Populations have equal means

• 400
• 500
• 1687.5
• 2,250

• 400
• 500
• 1687.5
• 2250

• 0.22
• 0.84
• 4.22
• 4.5

#### Q.8. An ANOVA procedure is applied to data obtained from 6 samples where each sample contains 20 observations. The degrees of freedom for the critical value of F are

• 6 numerator and 20 denominator degrees of freedom
• 5 numerator and 20 denominator degrees of freedom
• 5 numerator and 114 denominator degrees of freedom
• 6 numerator and 114 denominator degrees of freedom

• 3.74
• 2.25
• 2.37
• 1.96

#### Q.10.The ANOVA procedure is a statistical approach for determining whether or not

• the means of two samples are equal
• the means of two or more samples are equal
• the means of more than two samples are equal
• the means of two or more populations are equal
##### NPTEL Data Analytics with Python Assignment 5 Answers Join Group👇

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#### About NPTEL Data Analytics with Python Course:

We are looking forward to sharing many exciting stories and examples of analytics with all of you using python programming language. This course includes examples of analytics in a wide variety of industries, and we hope that students will learn how you can use analytics in their career and life. One of the most important aspects of this course is that you, the student, are getting hands-on experience creating analytics models; we, the course team, urge you to participate in the discussion forums and to use all the tools available to you while you are in the course!

##### Course Outcome:
• Week 1 : Introduction to data analytics and Python fundamentals
• 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 : c2 Test and introduction to cluster analysis
• Week 11 : Clustering analysis
• Week 12 : Classification and Regression Trees (CART)
###### CRITERIA TO GET A CERTIFICATE:

Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

If you have not registered for exam kindly register Through https://examform.nptel.ac.in/