Business Statistics and Research Methods MCQ Questions and Solutions with Explanations

Section 1 Section 2 Section 3 Section 4 Section 5 Section 6 Section 7 Section 8 Section 9 Section 10 Section 11 Section 12

1.
Z-list is used to know whether two population means are

A. equal

B. different

C. not defined

D. None of these

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2.
Diagrams are more suitable to illustrate the data, which is . . . . . . . . while . . . . . . . . is better represented by graphs.

A. discrete, continuous

B. continuous, discrete

C. less than, more than

D. None of these

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3.
The regression lines cut each other at the point of

A. average of x and y

B. average of x only

C. average of y only

D. none of them

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4.
Which of the following cannot be calculated with the help of graph?

A. Mean

B. Median

C. Mode

D. Quartile

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5.
If bxy = 0.25 and byx = 0.64, correlation coefficient is:

A. 0.16

B. 0.40

C. 0.89

D. 0.30

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6.
If two events A and B are dependent, the conditional probability of B given A, i.e, P(A/B) is calculated as:

A. P(AB)/P(B)

B. P(A)/P(B)

C. P(AB)/P(A)

D. P(A)/P(AB)

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7.
Which of the following is non-parametric test?

A. 'F' test

B. 't' test

C. 'z' test

D. Chi-square test

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8.
A frequency distribution has three groups in which the total number of frequencies are 100, 125 and 150 and their mean are 20, 15 and 25 respectively. The collective mean of the entire distribution will be

A. 20.3

B. 22.3

C. 20.8

D. 19.3

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9.
Which of the following is the first step in starting the research process?

A. Searching sources of information to locate problem

B. Survey of related literature

C. Identification of problem

D. Searching for solutions to the problem

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10.
Null hypothesisis always . . . . . . . . while alternate hypothesis gives a/an . . . . . . . . value.

A. specific, approximate

B. specific, different

C. approximate, specific

D. None of these

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Business Statistics and Research Methods MCQ Questions and Solutions with Explanations | Commerce

1. Z-list is used to know whether two population means are

Answer & Solution

2. Diagrams are more suitable to illustrate the data, which is . . . . . . . . while . . . . . . . . is better represented by graphs.

Answer & Solution

3. The regression lines cut each other at the point of

Answer & Solution

4. Which of the following cannot be calculated with the help of graph?

Answer & Solution

5. If bxy = 0.25 and byx = 0.64, correlation coefficient is:

Answer & Solution

6. If two events A and B are dependent, the conditional probability of B given A, i.e, P(A/B) is calculated as:

Answer & Solution

7. Which of the following is non-parametric test?

Answer & Solution

8. A frequency distribution has three groups in which the total number of frequencies are 100, 125 and 150 and their mean are 20, 15 and 25 respectively. The collective mean of the entire distribution will be

Answer & Solution

9. Which of the following is the first step in starting the research process?

Answer & Solution

10. Null hypothesisis always . . . . . . . . while alternate hypothesis gives a/an . . . . . . . . value.

Answer & Solution

Read More Section(Business Statistics and Research Methods)

1.
Z-list is used to know whether two population means are

2.
Diagrams are more suitable to illustrate the data, which is . . . . . . . . while . . . . . . . . is better represented by graphs.

3.
The regression lines cut each other at the point of

4.
Which of the following cannot be calculated with the help of graph?

5.
If bxy = 0.25 and byx = 0.64, correlation coefficient is:

6.
If two events A and B are dependent, the conditional probability of B given A, i.e, P(A/B) is calculated as:

7.
Which of the following is non-parametric test?

8.
A frequency distribution has three groups in which the total number of frequencies are 100, 125 and 150 and their mean are 20, 15 and 25 respectively. The collective mean of the entire distribution will be

9.
Which of the following is the first step in starting the research process?

10.
Null hypothesisis always . . . . . . . . while alternate hypothesis gives a/an . . . . . . . . value.