Match List – I with List – II:
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LIST I |
LIST II |
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A. In a hypothesis test the probability of making wrong decision, when null hypothesis is true |
I. Central limit theorem |
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B. Distribution of a sample leads to become a normal distribution as the sample size becomes larger |
II. Alternative hypothesis |
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C. No difference between two parameters |
III. Significance level |
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D. There is a difference between two parameters |
IV. Null hypothesis |
Choose the correct answer from the options given below:
Answer & explanation
Correct answer: option 4
The correct answer is Option (4) → A-III, B-I, C-IV, D-II
$\text{A: Probability of wrong decision when } H_0 \text{ is true} \;\Rightarrow\; \text{Significance level}$
$\Rightarrow \text{A matches III}$
$\text{B: Sample distribution becomes normal as size increases} \;\Rightarrow\; \text{Central limit theorem}$
$\Rightarrow \text{B matches I}$
$\text{C: No difference between parameters} \;\Rightarrow\; \text{Null hypothesis}$
$\Rightarrow \text{C matches IV}$
$\text{D: Difference between parameters} \;\Rightarrow\; \text{Alternative hypothesis}$
$\Rightarrow \text{D matches II}$
A–III,\; B–I,\; C–IV,\; D–II