What is possible and What is practical. Does the both means same ? Explain with some suitable examples.
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Instead, it's possible that the sample effect you observed would go away with a large sample. It's impossible to say. However, the good news ...
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The hypothesis testing procedure determines whether the sample results that you obtain are likely if you assume the null hypothesis is correct for the population. If the results are sufficiently improbable under that assumption, then you can reject the null hypothesis and conclude that an effect exists. In other words, the strength of the evidence in your sample has passed your defined threshold of the significance level (alpha). Your results are statistically significant.
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