Nptel Data Analytics with Python Week 4 Assignment Answer

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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!

INTENDED AUDIENCE  : Management, Industrial Engineering and Computer Science Engineering Students
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PRE-REQUISITES          : Basic knowledge of Python but not necessary

Nptel Data Analytics with Python Week 4 Assignment Answer

Course layout

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)

Nptel Data Analytics with Python Week 4 Assignment Answer

Week 4 : Assignment 4

Due date: 2025-02-19, 23:59 IST.

Assignment not submitted

1 point

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

t- test for hypothesis testing

z-test for hypothesis testing

both t and z test

F-test

1 point

Null hypothesis, Ho: m1– m = 0 is a

Upper tail test

Lower tail test

Two tail test

F Test

1 point

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

Mu = 375

Mu ≤ 375

Mu = 350

Mu ≥ 350

1 point

In question 3, At the alpha = 0.05 level of significance is there any evidence that the mean life is different from 375 hours?

Yes, there is

No, there is not

None of the above

1 point

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

zero

-0.5

+0.5

1.00

1 point

The error of rejecting a true null hypothesis is

a Type I error

a Type II error

is the same as b

committed when not enough information is available

1 point

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.

2

-2

1.46

-1.46

1 point

In hypothesis testing if the null hypothesis is rejected

no conclusions can be drawn from the test

the alternative hypothesis is true

the data must have been accumulated incorrectly

the sample size has been too small

1 point

In the hypothesis testing procedure, α is

1 – the level of significance

the critical value

the confidence level

level of significance

1 point

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

will always be rejected at the 1% level

will always be accepted at the 1% level

will never be tested at the 1% level

may be rejected or not rejected at the 1% level

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