The central limit theorem states that the sampling distribution of the mean will approach normal distribution __________

(a)

as the size of the population increases

(b)

as the sample size increase and becomes larger

(c)

as the number of samples gets larger

(d)

as the sample size decreases

Probability of rejecting null hypothesis. when it is true is _______

(a)

Type I error

(b)

Type II error

(c)

Sampling error

(d)

Standard error

The number of ways in which one can select 2 customers out of 10 customers is __________

(a)

90

(b)

60

(c)

45

(d)

50

The standard error of the sample mean is __________

(a)

Type I error

(b)

Type II error

(c)

Standard deviation of the sampling distribution of the mean

(d)

Variance of the sampling distribution of the mean.

Which of the following statements is true?

(a)

point estimate gives a range of value

(b)

sampling is done only to estimate a statistic

(c)

sampling is done to estimate the population parameter

(d)

sampling is not possible for an infinite population

The Z-value that is used to establish a 95% confidence interval for the estimation of a population parameter is __________

(a)

1.28

(b)

1.65

(c)

1.96

(d)

2.58

If a random sample of size 64 is taken from a population whose standard deviation is 32, then the standard error of the mean is __________

(a)

0.5

(b)

2

(c)

4

(d)

32

The mean I.Q. of a sample of 1600 children was 99. It is likely that this was a r.sample from a population with mean I.Q. 100 and S.D 15² Then the value of Z is __________

(a)

-2.667

(b)

2.667

(c)

1.96

(d)

2.58

Out of 1000 T.V viewers, 320 watched a particular programme. Then the standard error is __________

(a)

-0.147

(b)

0.147

(c)

0.0147

(d)

-0.0147

A random sample of 500 apples was taken from large consignment and 45 of them were found to be bad. Then the standard error is __________

(a)

0.033

(b)

0.0128

(c)

0.0128

(d)

0.00128

A sample of 100 students are drawn from 1550 student of a school. The mean weight and variance of the sample are 67.45 kg and 9 kg. Then the standard error is _________

(a)

.3

(b)

.9

(c)

.6745

(d)

6.745

The point estimate mean of the following data is __________.
21.1, 25.0, 20.0, 16.0, 12.0, 10.0, 17.0, 18.0, 13.0,11.0

(a)

16.3

(b)

13.6

(c)

21.21

(d)

212:10

The point estimate variance of 21, 25, 20, 16, 12, 10, 17, 18, 13 and 11 is _______

(a)

23.5

(b)

2.35

(c)

4.85

(d)

48.5

The point estimate means of 6.33, 6.37, 6.36, 6.32, 6.37 is ________

(a)

6.33

(b)

6.36

(c)

6.35

(d)

6.37

The point estimate variance of 6.33, 6.37, 6.36, 6.32, 6.37 is

(a)

0.0022

(b)

0.00055

(c)

0.0055

(d)

0.055