Business Statistics and Research Methods MCQs

Question 1

At 5% significance level, we are . . . . . . . . confident of the correctness of the decision.

Accepted Answer

95%

Answer

50%

Answer

99%

Answer

10%

Question 2

Biased error, a type of sampling error, may arise due to

Accepted Answer

All of the above

Answer

faulty selection of sample

Answer

faulty work during the collection

Answer

faulty methods of analysis

Question 3

Sampling distribution of mean is very close to the standard normal distribution when:

Accepted Answer

Both A and B

Answer

population is normally distributed

Answer

population is not normally distributed, but sample size is large

Answer

Neither A nor B

Question 4

If the regression coefficients are -0.8 and -0.2 then the value of correlation coefficient will be:

Accepted Answer

-0.4

Answer

0.4

Answer

-0.16

Answer

0.16

Question 5

Under. . . . . . . ., only the first unit of the sample is selected at random and the remaining units are selected at fixed intervals.

Accepted Answer

sequential sampling

Answer

systematic sampling

Answer

multi-stage sampling

Answer

cluster sampling

Question 6

The formula to determine the number of classes given by Sturge's Rule is which one of the following? Where: K = Number of classes; N = Total number of observations Logarithm of the total number of observations

Accepted Answer

K = 1 + 3.322 (log N)

Answer

K = (log N) 1.322

Answer

$$K = \frac{{1 + 3.322}}{{\left( {{	ext{Log }}N} ight)}}$$

Answer

$$K = \frac{{3.322}}{{\left( {{	ext{Log }}N} ight) + 1}}$$

Question 7

The objects of statistical investigation are decided

Accepted Answer

before the compilation of data

Answer

after the compilation of data

Answer

during the compilation of data

Answer

none of the above

Question 8

Sampling is simply the process of learning about the 'population' on the basis of a part of the universe or population called . . . . . . . . drawn from it.

Accepted Answer

parameters

Answer

statistics

Answer

sample

Answer

None of these

Question 9

In regression analysis, the variable that is used to explain the change in the outcome of an experiment, or some natural process, is called:

Accepted Answer

all of the above

Answer

the x-variable

Answer

the independent variable

Answer

the predictor variable