Question 1
When is a “Pie Chart” the best visualisation option for presenting data?
When the outliers in the data need to be shown
When trends in the data need to be shown
When proportions in the data need to be shown
None of these
When is a “Pie Chart” the best visualisation option for presenting data?
When the outliers in the data need to be shown
When trends in the data need to be shown
When proportions in the data need to be shown
None of these
Which of the following distributions is/are symmetric in nature (select all that are applicable)?
Standard Normal distribution
Standard Binomial distribution
Uniform distribution
Poisson distribution
Say, Table 1 specifies the blood sugar level (in mg/dL) for the male and female patients who visit a hospital. If the people in the locality have a nominal sugar level (which is between 70 mg/dL and 100 mg/dL), then it is expected that the number of people in any given sugar level is uniformly distributed between 1 and 9. If you want to validate this claim, then, answer the given subquestions.
| Patient ID | Gender | Blood sugar level (in mg/dL) |
|---|---|---|
| P1 | MALE | 71 |
| P2 | MALE | 84 |
| P3 | MALE | 76 |
| P4 | MALE | 78 |
| P5 | MALE | 89 |
| P6 | FEMALE | 92 |
| P7 | FEMALE | 97 |
| P8 | FEMALE | 95 |
| P9 | FEMALE | 83 |
| P10 | FEMALE | 72 |
Table 1
What is the expected value for the statistical test to be performed? (Note: give only a numerical value rounded to 2 decimal places. For example, if your answer is 10.1253, then input the answer as “10.13”)
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The IIT Madras BS Business Analytics (Business Analytics) Quiz 1 paper sat on 29 Oct 2023, in the September 2023 term: 16 questions for 20 marks in 120 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 Quiz 1 29 Oct 2023 at a glance |
|---|---|
| Term | September 2023 term |
| Subject | Business Analytics |
| Course code | BSMS2002 |
| Questions | 16 |
| Marks | 20 |
| Duration | 120 min |
| MCQ | 4 |
| MSQ | 4 |
| Numerical | 8 |
| Official paper | IIT M DIPLOMA AN2 EXAM QPD2 29 Oct 2023 |
| Negative marking | No negative marking. |
| Updated |