Quantitative Methods For Economic Analysis II Set 1
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This set of Quantitative Methods for Economic Analysis 2 Multiple Choice Questions & Answers (MCQs) focuses on Quantitative Methods For Economic Analysis II Set 1
Q1 | A numerical value used as a summary measure for a sample, such as a sample mean, isknown as a
- population parameter
- sample parameter
- sample statistic
- population mean
Q2 | Statistics branches include
- applied statistics
- mathematical statistics
- industry statistics
- both a and b
Q3 | To enhance a procedure the control charts and procedures of descriptive statistics areclassified into
- behavioural tools
- serial tools
- industry statistics
- statistical tools
Q4 | Sample statistics are also represented as
- lower case greek letter
- roman letters
- associated roman alphabets
- upper case greek letter
Q5 | Individual respondents, focus groups, and panels of respondents are categorised as
- primary data sources
- secondary data sources
- itemised data sources
- pointed data sources
Q6 | The variables whose calculation is done according to the weight, height and length andweight are known as:
- flowchart variables
- discrete variables
- continuous variables
- measuring variables
Q7 | A method used to examine inflation rate anticipation, unemployment rate and capacityutilisation to produce products is classified as
- data exporting technique
- data importing technique
- forecasting technique
- data supplying technique
Q8 | Graphical and numerical methods are specialized processes utilised in
- education statistics
- descriptive statistics
- business statistics
- social statistics
Q9 | The scale applied in statistics which imparts a difference of magnitude and proportionsis considered as
- exponential scale
- goodness scale
- ratio scale
- satisfactory scale
Q10 | Review of performance appraisal, labour turnover rates, planning of incentives andtraining programs and are examples of
- statistics in production
- statistics in marketing
- statistics in finance
- statistics in personnel management
Q11 | Which one is correct for a binomial distribution?
- mean = variance
- mean > variance
- mean < variance
- mean ≤ variance
Q12 | In a binomial distribution, n =5 mean equals 2, what is the value of q?
- .40
- .50
- .60
- .70
Q13 | Three fair coins tossed simultaneously what is the probability to get exact 2 head?
- 3/8
- 2/8
- 1/8
- 1
Q14 | In a binomial distribution variance found to be 1 and q=1/2, what is the value of n?
- 10
- 5
- 6
- 4
Q15 | In a basket there are 5 red balls and 3 black balls, what is the probability to select 2balls from that in which one is black and one is red?
- 2/8
- 5/8
- 8/28
- 15/28
Q16 | What is true for a poison Distribution?
- mean = variance
- mean > variance
- mean < variance
- mean ≤ variance
Q17 | A statement about a population developed for testing is called
- hypothesis
- hypothesis testing
- level of significance
- test-statistic
Q18 | Any hypothesis, which are tested for the purpose of rejection under the assumptionthat it is true, is called
- null hypothesis
- alternative hypothesis
- statistical hypothesis
- composite hypothesis
Q19 | The alternative hypothesis is also called
- null hypothesis
- statistical hypothesis
- research hypothesis
- simple hypothesis
Q20 | A rule or formula that provides a basis for testing a null hypothesis is called
- test-statistic
- population statistic
- both of these
- none of the above
Q21 | The range of test statistic-t is
- 0 to ∞
- 0 to 1
- -∞ to +∞
- -1 to +1
Q22 | If Ho is true and we reject it is called
- type-i error
- type-ii error
- standard error
- sampling error
Q23 | A passing student is failed by an examiner, it is an example of
- type-i error
- type-ii error
- best decision
- all of the above
Q24 | 1 – α is also called
- confidence coefficient
- power of the test
- size of the test
- level of significance
Q25 | 1 – α is the probability associated with
- type-i error
- type-ii error
- level of confidence
- level of significance