Maths: Probability Distributions - 1. Discrete distribution: binomial and Poisson distributions 2. Continous distribution : Poisson distributions - Book back 1 mark questions and answers with solution for Exercise Problems

**Choose the correct Answer**

1. Normal distribution was invented by

(a) Laplace

**(b)
De-Moivre **

(c) Gauss

(d) all the above

2. If X ~N(9,81) the standard normal
variate Z will be

(a) Z = [X – 81] / 9

(b) Z = [X − 9] / 81

**(c)
Z = [X − 9] / 9**

(d) Z = [9 − X] / 9

3. If Z is a standard normal variate,
the proportion of items lying between Z = –0.5 and Z = –3.0 is

(a) 0.4987

(b) 0.1915

**(c)
0.3072 **

(d) 0.3098

4. If X ~N(μ, σ^{2}), the maximum
probability at the point of inflexion of normal distribution is

**Ans:
(c)**

5. In a parametric distribution the mean
is equal to variance is :

(a) binomial

(b) normal

**(c)
poisson **

(d) all the above

6. In turning out certain toys in a
manufacturing company, the average number of defectives is 1%. The probability
that the sample of 100 toys there will be 3 defectives is

**(a)
0.0613 **

(b) 0.613

(c) 0.00613

(d) 0.3913

7. The parameters of the normal distribution f ( x ) = -∞< x < ∞

(a) (10,6)

**(b)
(10,36) **

(c) (6,10)

(d) (36,10)

8. A manufacturer produces switches and
experiences that 2 per cent switches are defective. The probability that in a
box of 50 switches, there are atmost two defective is :

**(a)
2.5 e ^{-1} **

(b) e^{-1}

(c) 2 e^{-1}

(d) none of the above

9. An experiment succeeds twice as often
as it fails. The chance that in the next six trials, there shall be at least
four successes is

(a) 240/729

(b) 489/729

**(c)
496/729 **

(d) 251/729

10. If for a binomial distribution b(n,p)
mean = 4 and variance = 4/3, the probability, P(X ≥ 5) is equal to :

(a) (2/3)^{6}

(b) (2/3)^{5}(1/3)

(c) (1/3)^{6}

**(d)
4(2/3) ^{6}**

11. The average percentage of failure in
a certain examination is 40. The probability that out of a group of 6
candidates atleast 4 passed in the examination are :

**(a)
0.5443 **

( b) 0.4543

(c) 0.5543

(d) 0.4573

12. Forty percent of the passengers who
fly on a certain route do not check in any luggage. The planes on this route
seat 15 passengers. For a full flight, what is the mean of the number of
passengers who do not check in any luggage?

**(a).
6.00 **

(b.) 6.45

(c). 7.20

(d.) 7.50

13. Which of the following statements
is/are true regarding the normal distribution curve?

(a) it is symmetrical and bell shaped
curve

(b) it is asymptotic in that each end
approaches the horizontal axis but never reaches it

(c) its mean, median and mode are
located at the same point

**(d)
all of the above statements are true.**

14. Which of the following cannot
generate a Poisson distribution?

(a) The number of telephone calls
received in a ten-minute interval

**(b)
The number of customers arriving at a petrol station**

(c) The number of bacteria found in a
cubic feet of soil

(d) The number of misprints per page

15. The random variable X is normally
distributed with a mean of 70 and a standard deviation of 10. What is the
probability that X is between 72 and 84?

(a) 0.683

(b) 0.954

(c) 0.271

**(d)
0.340**

16. The starting annual salaries of
newly qualified chartered accountants (CA’s) in South Africa follow a normal
distribution with a mean of ₹ 180,000 and a standard deviation of ₹ 10,000.
What is the probability that a randomly selected newly qualified CA will earn
between ₹ 165,000 and ₹ 175,000 per annum?

(a) 0.819

**(b)
0.242 **

(c) 0.286

(d) 0.533

17. In a large statistics class the
heights of the students are normally distributed with a mean of 172cm and a
variance of 25cm. What proportion of students are between 165cm and 181cm in
height?

(a) 0.954

(b) 0.601

(c) 0.718

**(d)
0.883**

18. A statistical analysis of
long-distance telephone calls indicates that the length of these calls is
normally distributed with a mean of 240 seconds and a standard deviation of 40
seconds. What proportion of calls lasts less than 180 seconds?

(a) 0.214

(b) 0.094

(c) 0933

**(d)
0.067**

19. Cape town is estimated to have 21%
of homes whose owners subscribe to the satelite service, DSTV. If a random
sample of your home in taken, what is the probability that all four home
subscribe to DSTV?

(a) 0.2100

(b) 0.5000

(c) 0.8791

**(d)
0.0019**

20. Using the standard normal table, the
sum of the probabilities to the right of z = 2.18 and to the left of z = -1.75
is:

(a) 0.4854

(b) 0.4599

(c) 0.0146

**(d)
0.0547**

21. The time until first failure of a
brand of inkjet printers is normally distributed with a mean of 1,500 hours and
a standard deviation of 200 hours. What proportion of printers fails before
1000 hours?

**(a)
0.0062 **

(b) 0.0668

(c) 0.8413

(d) 0.0228

22. The weights of newborn human babies
are normally distributed with a mean of 3.2kg and a standard deviation of
1.1kg. What is the probability that a randomly selected newborn baby weighs
less than 2.0kg?

**(a)
0.138 **

(b) 0.428

(c) 0.766

(d) 0.262

23. Monthly expenditure on their credit
cards, by credit card holders from a certain bank, follows a normal
distribution with a mean of ₹ 1,295.00 and a standard deviation of ₹ 750.00.
What proportion of credit card holders spend more than ₹ 1,500.00 on their
credit cards per month?

(a) 0.487

**(b)
0.392 **

(c) 0.500

(d) 0.791

24. Let z be a standard normal variable.
If the area to the right of z is 0.8413, then the value of z must be:

(a) 1.00

**(b)
–1.00 **

(c) 0.00

(d) –0.41

25. If the area to the left of a value
of z (z has a standard normal distribution) is 0.0793, what is the value of z?

**(a)
-1.41 **

(b) 1.41

(c) –2.25

(d) 2.25

26. If P(Z > z) = 0.8508 what is the
value of z (z has a standard normal distribution)?

(a) –0.48

(b) 0.48

**(c)
–1.04 **

(d) 1.04

27. If P(Z > z) = 0.5832 what is the
value of z (z has a standard normal distribution)?

(a) –0.48

(b) 0.48

(c) 1.04

**(d)
–0.21**

28. In a binomial distribution, the
probability of success is twice as that of failure. Then out of 4 trials, the
probability of no success is

(a) 16/81

(b) 1/16

(c) 2/27

**(d)
1/81**

Tags : Probability Distributions , 12th Business Maths and Statistics : Chapter 7 : Probability Distributions

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