NPTEL » Data Analytics With Python Assignment 2021

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Data Analytics with Python -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.

Data Analytics with Python is a MOOC-based course that is 12 weeks in duration and can fulfill the criteria of 4 credits in a year. You can visit the NPTEL SWAYAM platform and register yourself for the course. This course is by Prof. A Ramesh Ramesh Anbanandam graduated in Production Engineering from Madras University, Chennai.

Who Can Join: Management, Industrial Engineering, and Computer Science Engineering Students  PREREQUISITES: Nill INDUSTRY SUPPORT: Any analytics company


Average assignment score = 25% of the average of the 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

Students will be eligible for CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75.

Data Analytics with Python Week 8 Answers:-

Q1. Statement: Maximum likelihood estimation (MLE) is a method to find most likely density function that would have generated data.

Answer:- A – TRUE

Data Analytics with Python Assignment 1 Answers 2022

Q2. In context of MLE for normal distribution , select the correct statement

Answer:- B – The value of mean ‘mu’ and σ that maximise the likelihood function is found

Q3. State true or false Statement: Maximum likelihood estimation (MLE) is a method used for linear regression

Answer:- B – FALSE

Q4. In estimation of regression parameters

Answer:- B – The values of ????0..n and ???? should be such that, they maximizes the likelihood function


Q5. In context with logistic Regression, which of the following is correct?

Answer:- B – The dependent variable is categorical

Q6. In logistic regression the null hypothesis tested is:

Answer:- A – H0: ????= 0

Q7. G- statistic in logistic regression is :

Answer:- C – -2ln[ likelihood without variable/ likelihood with variable]

Q8. Which of the following is true in context of logistic regression:

Answer:- D- None of the above

Q9. State True or false Statement: G statistic is used to check the individual significance of the independent variables.

Answer:- B – FALSE

Q10. State True or false Statement: The odds ratio measures the impact on the odds of a one-unit increase in only one of the independent variables.

Answer:- A – TRUE

Data Analytics with Python Week 6 Answers:-

Q1. The model developed from sample data having the form of ŷ = b0 + b1X is known as:

Ans:- C – estimated regression equation

Q2. In regression analysis, which of the following is not a required assumption about the error term ε?

Ans:- A – The expected value of the error term is one

Q3. A regression analysis between sales (Y in $1000) and advertising (X in dollars) resulted in the following equation

ŷ = 30,000 + 5 X
The above equation implies that an

Ans:- D – increase of $1 in advertising is associated with an increase of $5,000 in sales

Q4. In a regression and correlation analysis if r-square value = 1, then

Ans:- D – SSR = SST

Q5. SSE can never be

Ans:- A – larger than SST

Q6. For the given data determine the R square value

Ans:- B

Q7. For the given data

Ans:- B – Reject the null hypothesis

Q8. State TRUE or FALSE – Statement: In the context of Regression analysis, The variance of error is same for all values of the independent variable

Ans:- A

Q9. If the coefficient of determination is 0.81, the coefficient of correlation:

Ans:- B – could be either + 0.9 or – 0.9

Q10. Which of the following is possible for the coefficient of determination:

Ans:- B- It is less than one

Data Analytics with Python Week 5 Answers:-

Q1. In the analysis of variance procedure (ANOVA) the term “factor” refers to:

Answer:- B – the independent variable

Q2.In a problem of ANOVA, involving 3 treatments and 10 observations per treatment, SSE = 399.6. The MSE for this situation is

Answer:- C – 14.8

Q3.When MSTR is Mean square treatment, MSE is Mean square of the error and MST is Total mean square. The ‘F’ ratio in a completely randomized ANOVA is the ratio of:

Answer:- B – MST/MSE

Q4. An ANOVA procedure is applied to data obtained from 6 samples where each sample contains 10 observations. The degrees of freedom for the critical value of F are

Answer:- C – 5 numerator and  54 denominator degrees of freedom

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Q5.In an ANOVA problem if SST = 120 and SSTR = 80, then SSE is

Answer:- B – 40

Q6. The critical F value with 8 numerator and 29 denominator degrees of freedom at alpha = 0.01 is

Answer:- B – 3.20

Q7. Two Independent simple random samples are taken to test the difference between the means of two populations. If standard deviations are not known, but are assumed to be equal. The sample sizes are n1 = 15 and n2 = 35. The correct distribution to use is the

Answer:- D – t distribution with 48 degrees of freedom

Q8. The sampling distribution of two populations is approximated by a

Answer:- B – normal distribution

Q9. Mean marks obtained by male and female students of schools ABC in first unit test is shown below.

Answer:- D – 2.0

Q10. SSE can never be

Answer:- A – larger than SST

Also Check:- NPTEL » The Joy Of Computing Using Python 2021

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