question archive Question 1) Even though your conclusion was to accept the alternate hypothesis, it is possible that it may still be false O True False Question 2 (0
Question 1) Even though your conclusion was to accept the alternate hypothesis, it is possible that it may still be false O True False Question 2 (0
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Question 1) Even though your conclusion was to accept the alternate hypothesis, it is possible that it may still be false O True False Question 2 (0.5 points) The sum of level of significance and the level of confidence will always equal 0.50 True False Question 3 (0.5 points) When attempting to estimate a population value, a 90% confidence interval will be narrower than a 95% confidence interval O True OFalse
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- When we accept the alternative hypothesis it means we have sufficient evidence to reject the null. This does not mean that it is certain that the null should have been rejected. It only means that with a given level of confidence; maybe 95% the null should be rejected but there is still 5% that we are not confident about. The claim that even though the conclusion is to accept the alternative hypothesis, it is possible it may still be false is True
- The sum of the significance level and the level of confidence is always 1 and not 0.5. For example, if the confidence level is 95%, the significance level is 5% and if it is 99%, the significance level is 1%. The claim that it sums to 0.5 is thus False
- As the margin of error increases, the confidence interval widens. At 90% confidence level, the Z score is 1.645 and at 95%, the margin id 1.96. As the Z score increases, the margin of error also increases. Therefore, at 90% confidence, the confidence interval will be narrower than at 95% confidence. The claim is thus True.
