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The null hypothesis (H0) in hypothesis testing represents a default position that there is no significant effect or relationship between the groups or variables being studied, and any observed difference is due to random chance. It serves as a baseline that researchers seek to test against the alternative hypothesis (H1), which proposes that there is a real effect or difference. Hypothesis testing aims to provide statistical evidence to either reject or fail to reject the null hypothesis, depending on whether the observed data supports a significant effect beyond random chance. Option A is incorrect as the null hypothesis assumes no significant difference, not the opposite. Option C is incorrect as the null hypothesis does not automatically accept the alternative hypothesis. Option D is incorrect because the null hypothesis can be used for any sample size, with different tests suited for small and large samples. Option E is incorrect because the null hypothesis acceptance or rejection does not imply certainty but rather a statistically significant likelihood.
Four of the five among the following are similar in such a way to form a group, which one of following doesn’t belong to the group?
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Who among the following attends music class in Morning?
Statement:
Only P is Q
Only a few P are R
Conclusion:
I. All Q are P
II. No R...
A belongs to which of the following cities?
Four of the following five are alike in a certain way and thus form a group. Which is the one that does not belong to that group?
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How many persons live between V and W?
What is the position of Y from the top of the building?
How many persons live between A and the one who likes green?