MTH302 Quiz 5 by VU Topper RM
- Type
- Quiz
- Course
- MTH302 Business Mathematics & Statistics
- Size
- PDF 293 KB
- Updated
- 23 Oct 2026
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Attendance in a factory shows 7 absences. What is probability that on a given day there will be more than 8 people absent?
- 2709 (Right Answer)
- 184
- 5
Formulation for Poisson distribution i-e "POISSON(x,mean,cumulative)" is truncated if ‘x’ is
Non-integer (Right Answer)
Integer
Integer but expected numeric value Integer but non-expected value
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 . (Right Answer)
Mean and standard deviation are always equal. Only option 1 & 3.
Which of the following is NOT applicable to a Poisson Distribution? Select correct option:
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, ... (Right Answer)
Every event is dependent of every other event.
The successive binomial trials are assumed to be
Dependent
Probability distribution is a set of possible values that a random variable can assume and their associated probabilities of occurrence. False
In negative binomial distribution, the probability of success, p Select correct option:
Remains the same on every trial
Remains constant for different outcomes
Change on every trial (Right Answer)
The sum of all probabilties for any poisson density function is always ___ . Select correct option:
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:
- 2707
- 0517
- 0183 (Right Answer)
- 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
- 8378
-0.8378
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