# NPTEL Data Analytics with Python Assignment 4 Answers 2022

Are you looking for the Answers to NPTEL Data Analytics with Python Assignment 4? This article will help you with the answer to the National Programme on Technology Enhanced Learning (NPTEL) Course “NPTEL Data Analytics with Python Assignment 4 ”. So read the complete article carefully.

## What is Data Analytics with Python?

Data Analytics with Python is a fun-filled whirlwind tour of 30 hrs, covering everything you need to know to fall in love with the most sought-after skill of the 21st century. 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 careers 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!

## CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of the 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 THE 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.

Below you can find the answers for NPTEL Data Analytics with Python Assignment 4

## NPTEL Data Analytics with Python Assignment 4 Answers 2022:-

Q1. If we have a sample size of 20 and population standard deviation is known, we will use:

(A) t- test for hypothesis testing
(B) z-test for hypothesis testing
(C) both t and z test
(D) F-test

Q2. Null hypothesis, Ho: mu1- mu2 = 0 is a:

(A) Upper tail test
(B) Lower tail test
(C) Two tail test
(D) F-test

Q3. The quality-control manager at a Li-BATTERY factory needs to determine whether the mean life of a large shipment of Li-Battery is equal to the specified value of 375 hours. The process standard deviation is known to be 100 hours. A random sample of 64 batteries indicates a sample mean life of 350 hours. State the null and alternative hypotheses

(A) Mu = 375
(B) Mu ≤ 375
(C) Mu = 350
(D) Mu ≥ 350

Q4. The quality-control manager at a Li-BATTERY factory needs to determine whether the mean life of a large shipment of Li-Battery is equal to the specified value of 375 hours. The process standard deviation is known to be 100 hours. A random sample of 64 batteries indicates a sample mean life of 350 hours. At the alpha = 0.05 level of significance is there any evidence that the mean life is different from 375 hours?

(A) Yes, there is
(B) No, there is not
(C) None of these

???? Next Week Answers: Assignment 05 ????

Q5. For one-tailed test, the test statistic z is determined to be zero. The p-value for this test is:

(A) Zero
(B) -0.5
(C) +0.5
(D) 1.0

Q6. The error of rejecting a true null hypothesis is:

(A) a Type I error
(B) a Type II error
(C) is the same as Beta
(D) committed when not enough information is available

Q7. The mean cost of a hotel room in a city is said to be \$168 per night. A random sample of 25 hotels resulted in X-bar = \$172.50 and sample standard deviation s = 15.40. Calculate the t statistic.

(A) 2
(B) -2
(C) 1.46
(D) -1.46

Q8. In hypothesis testing if the null hypothesis is rejected,

(A) no conclusions can be drawn from the test
(B) the alternative hypothesis is true
(C) the data must have been accumulated incorrectly
(D) the sample size has been too small

Q9. In the hypothesis testing procedure, alpha is

(A) 1 – the level of significance
(B) the critical value
(C) the confidence level
(D) the level of significance

Q10. If a hypothesis is rejected at the 5% level of significance, it

(A) will always be rejected at the 1% level
(B) will always be accepted at the 1% level
(C) will never be tested at the 1% level
(D) May be rejected or not rejected at the 1% level