Quantitative Methods for Economic Analysis 2 Solved MCQs

1.

A numerical value used as a summary measure for a sample, such as a sample mean, is known as a

A. population parameter
B. sample parameter
C. sample statistic
D. population mean
Answer» C. sample statistic
2.

Statistics branches include

A. applied statistics
B. mathematical statistics
C. industry statistics
D. both a and b
Answer» D. both a and b
3.

To enhance a procedure the control charts and procedures of descriptive statistics are classified into

A. behavioural tools
B. serial tools
C. industry statistics
D. statistical tools
Answer» A. behavioural tools
4.

Sample statistics are also represented as

A. lower case greek letter
B. roman letters
C. associated roman alphabets
D. upper case greek letter
Answer» B. roman letters
5.

Individual respondents, focus groups, and panels of respondents are categorised as

A. primary data sources
B. secondary data sources
C. itemised data sources
D. pointed data sources
Answer» A. primary data sources
6.

The variables whose calculation is done according to the weight, height and length and weight are known as:

A. flowchart variables
B. discrete variables
C. continuous variables
D. measuring variables
Answer» C. continuous variables
7.

A method used to examine inflation rate anticipation, unemployment rate and capacity utilisation to produce products is classified as

A. data exporting technique
B. data importing technique
C. forecasting technique
D. data supplying technique
Answer» C. forecasting technique
8.

Graphical and numerical methods are specialized processes utilised in

A. education statistics
B. descriptive statistics
C. business statistics
D. social statistics
Answer» B. descriptive statistics
9.

The scale applied in statistics which imparts a difference of magnitude and proportions is considered as

A. exponential scale
B. goodness scale
C. ratio scale
D. satisfactory scale
Answer» C. ratio scale
10.

Review of performance appraisal, labour turnover rates, planning of incentives and training programs and are examples of

A. statistics in production
B. statistics in marketing
C. statistics in finance
D. statistics in personnel management
Answer» D. statistics in personnel management
11.

Which one is correct for a binomial distribution?

A. mean = variance
B. mean > variance
C. mean < variance
D. mean ≤ variance
Answer» B. mean > variance
12.

In a binomial distribution, n =5 mean equals 2, what is the value of q?

A. .40
B. .50
C. .60
D. .70
Answer» C. .60
13.

Three fair coins tossed simultaneously what is the probability to get exact 2 head?

A. 3/8
B. 2/8
C. 1/8
D. 1
Answer» A. 3/8
14.

In a binomial distribution variance found to be 1 and q=1/2, what is the value of n?

A. 10
B. 5
C. 6
D. 4
Answer» D. 4
15.

In a basket there are 5 red balls and 3 black balls, what is the probability to select 2 balls from that in which one is black and one is red?

A. 2/8
B. 5/8
C. 8/28
D. 15/28
Answer» D. 15/28
16.

What is true for a poison Distribution?

A. mean = variance
B. mean > variance
C. mean < variance
D. mean ≤ variance
Answer» A. mean = variance
17.

A statement about a population developed for testing is called

A. hypothesis
B. hypothesis testing
C. level of significance
D. test-statistic
Answer» A. hypothesis
18.

Any hypothesis, which are tested for the purpose of rejection under the assumption that it is true, is called

A. null hypothesis
B. alternative hypothesis
C. statistical hypothesis
D. composite hypothesis
Answer» A. null hypothesis
19.

The alternative hypothesis is also called

A. null hypothesis
B. statistical hypothesis
C. research hypothesis
D. simple hypothesis
Answer» C. research hypothesis
20.

A rule or formula that provides a basis for testing a null hypothesis is called

A. test-statistic
B. population statistic
C. both of these
D. none of the above
Answer» A. test-statistic
21.

The range of test statistic-t is

A. 0 to ∞
B. 0 to 1
C. -∞ to +∞
D. -1 to +1
Answer» C. -∞ to +∞
22.

If Ho is true and we reject it is called

A. type-i error
B. type-ii error
C. standard error
D. sampling error
Answer» A. type-i error
23.

A passing student is failed by an examiner, it is an example of

A. type-i error
B. type-ii error
C. best decision
D. all of the above
Answer» A. type-i error
24.

1 – α is also called

A. confidence coefficient
B. power of the test
C. size of the test
D. level of significance
Answer» A. confidence coefficient
25.

1 – α is the probability associated with

A. type-i error
B. type-ii error
C. level of confidence
D. level of significance
Answer» A. type-i error
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