STATISTICAL TECHNIQUES AND TOOLS
TESTS OF SIGNIFICANCE
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Using a two-tailed test instead of a one-tailed test.
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Decreasing the size of your sample.
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Finding a way to increase the population standard deviation .
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Increasing the significance level
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Decrease the effect size.
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Detailed explanation-1: -A test’s power can be increased in two ways: by increasing the sample size or by raising the significance level. As a result, increasing the power of a significance test with the help of the sigma’s significance level.
Detailed explanation-2: -Which of the following increases the power of a significance test? increasing the significance level alpha.
Detailed explanation-3: -A statistically significant result depends on two key variables: sample size and effect size. Sample size refers to how large the sample for your experiment is. The larger your sample size, the more confident you can be in the result of the experiment (assuming that it is a randomized sample).
Detailed explanation-4: -The lower the p-value, the greater the statistical significance of the observed difference. P-value can serve as an alternative to-or in addition to-preselected confidence levels for hypothesis testing.