List – I List – II I. Type I Error A. Inherent variance II. Ogive Curve B. Retain Ho when it is false III. Within group variance C. Measure of discrepancy between expected and observed frequencies IV. Type II Error D. Post HOC test. V. Chi-square test E. Reject Ho when it is true VI. Between group Variance F. Inherent variance + treatment effect G. Cumulative % curve
Codes :
I II III IV V VI
Solution: Matching Statistical Lists
Matching List – I with List – II
The question requires matching statistical terms in List – I with their corresponding descriptions or related concepts in List – II. Based on the provided correct answer, the matches are as follows:
- Type I Error (I) is matched with Reject Ho when it is true (E). This is because a Type I error occurs when a true null hypothesis is incorrectly rejected.
- Ogive Curve (II) is matched with Cumulative % curve (G). An Ogive is a graphical representation of a cumulative frequency distribution.
- Within group variance (III) is matched with Inherent variance (A). This variance represents the random error or natural variation within samples, independent of any treatment effect.
- Type II Error (IV) is matched with Retain Ho when it is false (B). A Type II error occurs when a false null hypothesis is not rejected.
- Chi-square test (V) is matched with Measure of discrepancy between expected and observed frequencies (C). The Chi-square statistic quantifies the difference between observed counts and expected counts in categorical data analysis.
- Between group Variance (VI) is matched with Inherent variance + treatment effect (F). This variance measures the differences between the means of different groups, reflecting both inherent variability and the impact of any treatment or factor being studied.
Summary of Matches
The correct pairings are:
- I – E
- II – G
- III – A
- IV – B
- V – C
- VI – F
Therefore, the code representing these matches is E G A B C F.
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