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MTH302 Solved Quiz 4 Lectures 37-43

Business Mathematics & Statistics PDF 160 KBUpdated 23 Oct 2026
Quiz MTH302 Solved Quiz 4 Lectures 37-43 PDF 160 KB
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MTH302 Business Mathematics & Statistics
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PDF 160 KB
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23 Oct 2026
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Tuesday, July 12, 2011 · 10 Solved Quizzes · All Quizzes have been solved in Conference of MTH302

Q1. of 10 ( Start time: 06:25:48 PM ) Total Marks: 1

Which of the following formula is correct?

Q2. of 10 ( Start time: 06:27:25 PM ) Total Marks: 1

Attendance in a factory shows 7 absences. What is probabilty that on a given day there will be more than 8 people absent?

0.2709 · 0.184 · 0.5

Q3. of 10 ( Start time: 06:28:59 PM ) Total Marks: 1

Formulation for Poisson distribution i-e "POISSON(x,mean,cumulative)" is truncated if ‘x’ is

Non-integer · Integer · Integer but expected numeric value · Integer but non-expected value

Q4. of 10 ( Start time: 06:30:04 PM ) Total Marks: 1

trials.

Q5. of 10 ( Start time: 06:30:55 PM ) Total Marks: 1

The mean of a Poisson distribution is 5 while its standard deviation is 4.then what option is correct about this statement.

In some cases this result is possible. Mean should be always less than standard deviation . Mean and standard deviation are always equal. Only option 1 & 3.

Q6. of 10 ( Start time: 06:32:02 PM ) Total Marks: 1

Q7. of 10 ( Start time: 06:33:05 PM ) Total Marks: 1

Which of the following is NOT applicable to a Poisson Distribution?

It is used to compute the probability of rare events. Every event is independent of every other event. The range for the number of events that could occur is 0,1,2,3, ... Every event is dependent of every other event.

Q8. of 10 ( Start time: 06:34:38 PM ) Total Marks: 1

The successive binomial trials are assumed to be

Dependent

Q9. of 10 ( Start time: 06:35:40 PM ) Total Marks: 1

Probability distribution is a set of possible values that a random variable can assume and their associated probabilities of occurrence.

True

False

Q10. of 10 ( Start time: 06:36:31 PM ) Total Marks: 1

In negative binomial distribution, the probability of success, p

Remains the same on every trial · Remains constant for different outcomes · Change on every trial

Q1. of 10 ( Start time: 06:39:20 PM ) Total Marks: 1

The sum of all probabilties for any poisson density function is always ___ .

Q2. of 10 ( Start time: 06:40:17 PM ) Total Marks: 1

The number of telephone calls that pass through a switchboard has a Poisson distribution with mean equal to 2 per minute. The probability that no telephone calls pass through the switch board in two consecutive minutes is:

0.2707 · 0.0517 · 0.0183 · 0.1353

If the mean & standard deviation on an examination are ‘74’ & ‘12’ respectively and the grades ‘x=74’ then the scores (z) in standard units of students receiving are

0.8378

-0.8378

Q4. of 10 ( Start time: 06:42:48 PM ) Total Marks: 1

sides is odd number?

Q5. of 10 ( Start time: 06:43:39 PM ) Total Marks: 1

Q6. of 10 ( Start time: 06:44:06 PM ) Total Marks: 1

The probability of "success" p is equals to · q · 1-q · 1+q

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