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What is the null hypothesis (H0) in hypothesis testing?
What is the null hypothesis (H0) in hypothesis testing?
- The hypothesis that there is no effect/difference (correct)
- The hypothesis that the alternative hypothesis is true
- The probability of obtaining a test statistic
- The hypothesis that there is an effect/difference
What does a small p-value indicate in hypothesis testing?
What does a small p-value indicate in hypothesis testing?
- The test result fits the reality
- The alternative hypothesis is probably wrong
- The null hypothesis is true
- The null hypothesis is probably wrong (correct)
What does a false positive ("Type I error") in statistical testing refer to?
What does a false positive ("Type I error") in statistical testing refer to?
- The null hypothesis H0 is in fact true, but we reject it in favor of H1 (correct)
- The test result fits the reality
- The alternative hypothesis H1 is in fact true, but we don’t reject H0
- The probability of obtaining a test statistic
What is the major goal of hypothesis testing?
What is the major goal of hypothesis testing?
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What is the probability of obtaining a test statistic at least as extreme as the one observed, if the null hypothesis is true?
What is the probability of obtaining a test statistic at least as extreme as the one observed, if the null hypothesis is true?
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