METHODS OF DATA ANALYSIS
PARAMETRIC AND NON PARAMETRIC TESTS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Higher the value of computed t statistic,
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Larger would be the size of sample.
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Greater would be the probability of rejecting the null hypothesis.
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Greater would be the probability of accepting the null hypothesis.
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None of the above
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Explanation:
Detailed explanation-1: -When we increase the sample size, decrease the standard error, or increase the difference between the sample statistic and hypothesized parameter, the p value decreases, thus making it more likely that we reject the null hypothesis.
Detailed explanation-2: -If the t-statistic value is greater than the t-critical, meaning that it is beyond it on the x-axis (a blue x), then the null hypothesis is rejected and the alternate hypothesis is accepted.
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