# NPTEL Data Analytics with Python Assignment 3 Answers 2023

Hello NPTEL Learners, In this article, you will find NPTEL Data Analytics with Python Assignment 3 Week 3 Answers 2023. All the Answers are provided below to help the students as a reference donâ€™t straight away look for the solutions, first try to solve the questions by yourself. If you find any difficulty, then look for the solutions.

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## NPTEL Data Analytics with Python Assignment 3 Answers 2023:

• True
• False

• 0.961
• 0.827
• 0.706
• 0.479

#### Q.3. Stratified random sampling is a method of selecting a sample in which

• the sample is first divided into strata, and then random samples are taken from each stratum
• various strata are selected from the sample
• the population is first divided into strata, and then random samples are drawn from each stratum
• None of these alternatives is correct.

#### Q.4. The Poisson probability distribution is which of the following type?

• Continuous probability distribution
• Discrete probability distribution
• Uniform probability distribution
• Normal probability distribution

• 0.50
• 0.30
• 100
• 50

#### Q.6. A hypergeometric probability distribution is identical to

• the Poisson probability distribution
• the binomial probability distribution
• the normal distribution
• None of these alternatives is correct

#### Q.7. Why one should not go for sampling?

• Less costly to administer than a census.
• The person authorizing the study is comfortable with the sample.
• Because the research process is sometimes destructive
• None of the above

• 0.0668
• 0.544
• 0.082
• 0.205

• 0.0668
• 0.544
• 0.082
• 0.205

#### Q.10.In question 8, Find the probability that on a randomly selected day, they will sell at most 2 cars.

• 0.0668
• 0.544
• 0.082
• 0.205
##### NPTEL Data Analytics with Python Assignment 3 Answers Join Groupđź‘‡

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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 : c2Â 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/