Business Statistics and Research Methods MCQs
Practice free Business Statistics and Research Methods multiple-choice questions with instant answer feedback and step-by-step solutions. Click an option to check yourself, reveal the full explanation, and work through all 1366 questions — no login required.
Question 1342hard
Consider the following statement and identify the wrong statements.
Statement I: Accepting null hypothesis, when it is false, is called a level of significance.
Statement II: $$1 - \alpha $$ is called power of a test.
Statement III: Critical value of $$Z$$ - static for two-tailed test at 5% level of significance is 1.96.
Statement I: Accepting null hypothesis, when it is false, is called a level of significance.
Statement II: $$1 - \alpha $$ is called power of a test.
Statement III: Critical value of $$Z$$ - static for two-tailed test at 5% level of significance is 1.96.
Question 1344medium
Which of the following are 'non-statistical' research?
1. Problem solving research
2. Qualitative research
3. Applied research
Select the correct answer using the options given below
1. Problem solving research
2. Qualitative research
3. Applied research
Select the correct answer using the options given below
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Question 1346hard
Find the value of x2 (chi-square) for the following information.
| Class | A | B | C | D | E |
| Observed Frequency | 8 | 29 | 44 | 15 | 4 |
| Expected Frequency | 7 | 24 | 38 | 24 | 7 |
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Question 1348hard
Which of the following are considered nonparametric tests?
1. Mann-Whitney U test
2. Kruskal-Wallis test
3. F-test
4. T-test
5. Chi-square test
Choose the correct option from the following:
1. Mann-Whitney U test
2. Kruskal-Wallis test
3. F-test
4. T-test
5. Chi-square test
Choose the correct option from the following:
Question 1349hard
Match the following items of List-I and List-II with regard to hypothesis-testing and indicate the option of correct matching.
| 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 |
Question 1350hard
Consider the following statements.
Statement I: The absolute value of the difference between an unbiased estimate and the corresponding population parameter is called sampling error.
Statement II: Multi-stage sampling is a restricted non-probability-based sampling technique.
Statement I: The absolute value of the difference between an unbiased estimate and the corresponding population parameter is called sampling error.
Statement II: Multi-stage sampling is a restricted non-probability-based sampling technique.