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This set of Quantitative Techniques Multiple Choice Questions & Answers (MCQs) focuses on Quantitative Techniques Set 4
Q1 | Power of a test is related to ........................
- Type I error
- Type II error
- Both a and b
- None of these
Q2 | Level of significance is the probability of................................
- Type I error
- Type II error
- Both a and b
- None of these
Q3 | Which type of error is more severe error:
- Type I error
- Type II error
- Both a and b
- None of these
Q4 | Type II error means..............................
- Accepting a true hypothesis
- Rejecting a true hypothesis
- Accepting a wrong hypothesis
- Rejecting a wrong hypothesis
Q5 | Type I error is denoted by...........................
- Alpha
- Beta
- Gamma
- None of these
Q6 | Type II error is denoted by....................................
- Alpha
- Beta
- Gamma
- None of these
Q7 | The level of probability of accepting a true null hypothesis is called........................
- Degree of freedom
- Level of significance
- Level of confidence
- D,
Q8 | The probability of rejecting a true null hypothesis is called.......................
- Degree of freedom
- Level of significance
- Level of confidence
- None of these
Q9 | 1 – Level of confidence =.............................
- Level of significance
- Degree of freedom
- Either a or b
- None of these
Q10 | While testing a hypothesis, if level of significance is not mentioned, we take ...................level of significance.
- 1%
- 2%
- 5%
- 10%
Q11 | ...............refers to the number of independent observations which is obtained bysubtracting the number of constraints from the total number of observations.
- Sample size
- Degree of freedom
- Level of significance
- Level of confidence
Q12 | Total number of observations – number of constraints =......................
- Level of significance
- Degree of freedom
- Level of confidence
- Sample size
Q13 | Accepting a null hypothesis when it is false is called................................
- Type I error
- Type II error
- Probable error
- Standard error
Q14 | Accepting a null hypothesis when it is true is called................................
- Type I error
- Type II error
- Probable error
- No error
Q15 | When sample is small,....................... test is applied.
- t-test
- Z test
- F test
- None of these
Q16 | To test a hypothesis about proportions of items in a class, the usual test is..............
- t-test
- Z- test
- F test
- Sign test
Q17 | Student’s t-test is applicable when:
- The values of the variate are independent
- The variable is distributed normally
- The sample is small
- All the above
Q18 | Testing of hypotheses Ho : μ = 45 vs. H1 : μ > 45 when the population standard deviationis known, the appropriate test is:
- t-test
- Z test
- Chi-square test
- F test
Q19 | Testing of hypotheses Ho : μ = 85 vs. H1 : μ > 85, is a ...................test.
- One sided left tailed test
- One sided right tailed test
- Two tailed test
- None of these
Q20 | Testing of hypotheses Ho : μ = 65 vs. H1 : μ < 65, is a ...................test.
- One sided left tailed test
- One sided right tailed test
- Two tailed test
- None of these
Q21 | Testing of hypotheses Ho : μ = 65 vs. H1 : μ ≠ 65, is a ...................test.
- One sided left tailed test
- One sided right tailed test
- Two tailed test
- None of these
Q22 | Student’s t-test was designed by ............................
- R A Fisher
- Wilcoxon
- Wald wolfowitz
- W S Gosset
Q23 | Z test was designed by ........................................
- R A Fisher
- Wilcoxon
- Wald wolfowitz
- W S Gosset
Q24 | Z test was designed by .......................................
- R A Fisher
- Wilcoxon
- Wald wolfowitz
- W S Gosset
Q25 | The range of F ratio is ........................................
- – 1 to + 1
- – ∞ to ∞
- 0 to ∞
- 0 to 1