Question 1
In an ideal scenario, if a distribution has “Negative Skewness” then,
Mode > Median > Mean
Mode < Median < Mean
Mode = Median = Mean
None of these
Question 2
A company produces a car in two locations “A” and “B” using the same manufacturing process. A total of 20 cars in each location were taken and the number of defects in each car was computed. It has been established that the maximum number of defects per car is 5. Given this data in Table- 1, answer the given sub-questions.
| Number of Defects | Number of cars produced at Location-A with the specified number of defects | Number of cars produced at Location-B with the specified number of defects |
|---|---|---|
| 1 | 5 | 1 |
| 2 | 5 | 5 |
| 3 | 3 | 2 |
| 4 | 3 | 2 |
| 5 | 2 | 5 |
Table- 1
If the focus is on seeing the distribution of defects (presented in Table-1) across the two locations, then which among the following graphs will be best suited? (Note: While choosing an answer to this question, please do not worry about colour reproduction or other aesthetics. Make a choice only based on the concepts of visualization theory)
Question 3
A company produces a car in two locations “A” and “B” using the same manufacturing process. A total of 20 cars in each location were taken and the number of defects in each car was computed. It has been established that the maximum number of defects per car is 5. Given this data in Table- 1, answer the given sub-questions.
| Number of Defects | Number of cars produced at Location-A with the specified number of defects | Number of cars produced at Location-B with the specified number of defects |
|---|---|---|
| 1 | 5 | 1 |
| 2 | 5 | 5 |
| 3 | 3 | 2 |
| 4 | 3 | 2 |
| 5 | 2 | 5 |
Table- 1
If the aim is to determine if the defect occurrence is independent of location, then how many cars would you expect to have “4” defects in Location A? (Round your answer to two decimal places. Eg: If your answer is 10.256, then round it to 10.26)
32 more questions in this paper
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More on the Business Analytics End Term 3 Sept 2023 Set QPD1-S2 paper
The IIT Madras BS Business Analytics (Business Analytics) End Term paper sat on 3 Sept 2023, in the May 2023 term, set QPD1-S2: 35 questions for 45 marks in 180 minutes. The first 3 questions are below. Sign in with Google — it is free — to see the whole paper with its answers and explanations, in learning mode or as a timed mock test.
| Feature | Business Analytics End Term 3 Sept 2023 Set QPD1-S2 at a glance |
|---|---|
| Term | May 2023 term |
| Subject | Business Analytics |
| Course code | BSMS2002 |
| Questions | 35 |
| Marks | 45 |
| Duration | 180 min |
| MCQ | 7 |
| Numerical | 24 |
| MSQ | 4 |
| Official paper | IIT M DIPLOMA ET1 EXAM QPD1 S2 03 Sep |
| Negative marking | No negative marking. |
| Updated |