Statement I When a null hypothesis is true but as per the hypothesis testing, it is rejected; it is known as Type II error in hypothesis testing.
Statement II For testing the significance of the differences among the performance of more than two sample groups when the data are non-parametric, Kruskal-Wallis (H) test is appropriate.
A. Both statements are correct
B. Both statements are incorrect
C. Statement I is correct, while Statement II is incorrect
D. Statement I is incorrect, while Statement II is correct
Answer: Option D
Related Questions on Business Statistics
In statistical analysis, the burden of proof lies traditionally with
A. alternative hypothesis
B. null hypothesis
C. analyst
D. facts
A. Target fixing
B. Markets
C. Business forecasting for products
D. All of the above
A. Statements I and II are true
B. Statement II is true
C. Statements II and III are true
D. Statement III is true
A. Transaction processing
B. Application processing
C. Data processing
D. Information processing

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