The alternative hypothesis, (H1), represents the claim that the researcher wants to investigate., TRUE, FALSE, A Type I error occurs when a true null hypothesis is rejected., TRUE, FALSE, The null hypothesis and alternative hypothesis must represent same statements., TRUE, FALSE, The significance level must be selected before making the statistical decision., TRUE, FALSE, A larger sample always guarantees that the conclusion of a hypothesis test is correct., TRUE, FALSE, Changing the significance level may change the decision of a hypothesis test., TRUE, FALSE, Z-test must always be used whenever the sample size is small., TRUE, FALSE, The final conclusion should relate the statistical decision to the original problem., TRUE, FALSE, A company wants to test whether the average daily production is greater than 500 units. Using a two-tailed Z-test is the most appropriate choice., TRUE, FALSE, A health researcher wants to determine whether the average sleeping time of students is less than eight hours. A one-tailed t-test is appropriate., TRUE, FALSE

Unit 4 : Basic Concept Hypothesis Testing

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