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

31.
Poisson distribution is . . . . . . . . probability distribution.

A. individual

B. discrete

C. continuous

D. None of these

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32.
A functional relationship between two variables is called

A. Correlation Analysis

B. Time Series Analysis

C. Regression Analysis

D. Association Attributes

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33.
Match the following items of List-I and List-II with regard to hypothesis-testing.

List-I List-II

a. The ability of test to reject the null hypothesis when it is false 1. Level of significance

b. The probability of accepting a false null hypothesis 2. Type I error

c. The probability of rejecting a true null hypothesis due to sampling error 3. Type II error

d. The probability of rejecting a true null hypothesis 4. Power of a test

A. a-4, b-2, c-1, d-3

B. a-4, b-3, c-1, d-2

C. a-1, b-2, c-3, d-4

D. a-2, b-3, c-1, d-4

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34.
Each normal distribution is defined by its two parameters viz.

A. mean and median

B. standard deviation and mode

C. mean and standard deviation

D. None of the above

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35.
If the percentage error is -2 and the estimated value is 500, then the actual value will be

A. 498

B. 502

C. 490

D. 510

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36.
If P(B/A) = p(b), then P(A $$ \cap $$ B) =?

A. p(b)

B. p(a)

C. p(b) × p(a)

D. p(a) + p(b)

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37.
The number of COVID19 viruses observed under 5 separate electronic slides were 3, 4, 5, 6 and 7. The sum of squared deviations of observations from their sample mean is:

A. 1000

B. 0

C. 10.0

D. 100

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38.
Given, mode = 22 and median = 21.4. Find out the average mean.

A. 21.1

B. 21.4

C. 22.1

D. 22.4

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39.
Karl Pearson's coefficient of skewness is calculated by following formula.

A. $$\frac{{\overline X - Z}}{\sigma }$$

B. $$\frac{{\overline X - M}}{\sigma }$$

C. $$\frac{{Z - \overline X }}{\sigma }$$

D. $$\frac{{\overline X - \sigma }}{Z}$$

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40.
In a negatively skewed distribution

A. Mode > Median > Mean

B. Median > Mode > Mean

C. Mode < Median < Mean

D. None of these

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1 2 3 4 5 6 7 8 9 10

List-I	List-II
a. The ability of test to reject the null hypothesis when it is false	1. Level of significance
b. The probability of accepting a false null hypothesis	2. Type I error
c. The probability of rejecting a true null hypothesis due to sampling error	3. Type II error
d. The probability of rejecting a true null hypothesis	4. Power of a test

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

31. Poisson distribution is . . . . . . . . probability distribution.

Answer & Solution

32. A functional relationship between two variables is called

Answer & Solution

Answer & Solution

34. Each normal distribution is defined by its two parameters viz.

Answer & Solution

35. If the percentage error is -2 and the estimated value is 500, then the actual value will be

Answer & Solution

36. If P(B/A) = p(b), then P(A $$ \cap $$ B) =?

Answer & Solution

37. The number of COVID19 viruses observed under 5 separate electronic slides were 3, 4, 5, 6 and 7. The sum of squared deviations of observations from their sample mean is:

Answer & Solution

38. Given, mode = 22 and median = 21.4. Find out the average mean.

Answer & Solution

39. Karl Pearson's coefficient of skewness is calculated by following formula.

Answer & Solution

40. In a negatively skewed distribution

Answer & Solution

Read More Section(Business Statistics and Research Methods)

31.
Poisson distribution is . . . . . . . . probability distribution.

32.
A functional relationship between two variables is called

34.
Each normal distribution is defined by its two parameters viz.

35.
If the percentage error is -2 and the estimated value is 500, then the actual value will be

36.
If P(B/A) = p(b), then P(A $$ \cap $$ B) =?

37.
The number of COVID19 viruses observed under 5 separate electronic slides were 3, 4, 5, 6 and 7. The sum of squared deviations of observations from their sample mean is:

38.
Given, mode = 22 and median = 21.4. Find out the average mean.

39.
Karl Pearson's coefficient of skewness is calculated by following formula.

40.
In a negatively skewed distribution