Normal distribution was invented by ________.

(a)

Laplace

(b)

De-Moivre

(c)

Gauss

(d)

all the above

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

(a)

\(Z=\frac { X- 81 }{ 9 } \)

(b)

\(Z=\frac { X-9 }{ 81 } \)

(c)

\(Z=\frac { X-9 }{ 9 } \)

(d)

\(Z=\frac { 9-X }{ 9 } \)

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

If X ~ N(μ, σ²), the maximum probability at the point of inflexion of normal distribution is ________.

(a)

\({ \left( \frac { 1 }{ \sqrt { 2\pi } } \right) }^{ { e }^{ \frac { 1 }{ 2 } } }\)

(b)

\({ \left( \frac { 1 }{ \sqrt { 2\pi } } \right) }^{ { e }^{ \left( -\frac { 1 }{ 2 } \right) } }\)

(c)

\({ \left( \frac { 1 }{ \sigma \sqrt { 2\pi } } \right) }^{ { e }^{ \left( \frac { 1 }{ 2 } \right) } }\)

(d)

\({ \left( \frac { 1 }{ \sqrt { 2\pi } } \right) }\)

In a parametric distribution the mean is equal to variance is ________.

(a)

binomial

(b)

normal

(c)

poisson

(d)

all the above

 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

The parameters of the normal distribution \(f(x)=\left(\frac{1}{\sqrt{72 \pi}}\right)\)\(\frac{e^{-(x-10)^{2}}}{72}\) –∞ <  x  <  ∞ ________.

(a)

(10,6)

(b)

(10,36)

(c)

(6,10)

(d)

(36,10)

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)

2e^-1

(d)

none of the above

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

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

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

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

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.

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

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

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

(a)

0.819

(b)

0.242

(c)

0.286

(d)

0.533

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

(a)

0.954

(b)

0.601

(c)

0.718

(d)

0.883

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

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

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

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

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

(a)

0.138

(b)

0.428

(c)

0.766

(d)

0.262

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

(a)

0.487

(b)

0.392

(c)

0.500

(d)

0.791

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

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

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

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

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