Question

QUESTION 29

1. What phrase needs to be included in every conclusion sentence that is a 'do not Reject Ho' decision?

	A.	"My guess is not reasonable"
	B.	"Significant difference"
	C.	"My guess is reasonable"
	D.	"I do not have enough evidence to conclude"

QUESTION 30

1. If you get 'Yes, Reject Ho' for your decision rule, what does this mean?

	A.	Your sample statistic was too far away from your comparison value (or null hypothesis value). Conclude in favor of the alternative hypothesis.
	B.	Your sample statistic was too far away from your comparison value (or null hypothesis value). You do not have enough evidence to support the alternative hypothesis.
	C.	Your sample statistic was too close to the comparison value (or null hypothesis value). Conclude in favor of the alternative hypothesis.
	D.	Your sample statistic was too close to the comparison value (or null hypothesis value). You do not have enough evidence to support the alternative hypothesis.

QUESTION 31

1. If you get 'No,do not reject Ho' for your decision rule, what does this mean?

	A.	Your sample statistic was too far away from your comparison value (or null hypothesis value). Conclude in favor of the alternative hypothesis.
	B.	Your sample statistic was too far away from your comparison value (or null hypothesis value). You do not have enough evidence to support the alternative hypothesis.
	C.	Your sample statistic was too close to the comparison value (or null hypothesis value). Conclude in favor of the alternative hypothesis.
	D.	Your sample statistic was too close to the comparison value (or null hypothesis value). You do not have enough evidence to support the alternative hypothesis.

Answer 1

1) we should always include the phrase.."do not have enough evidence to conclude" in every do not reject Ho decision.

2) If we get " Reject Ho" It means that the sample statistic was too far away from null hypothesis value...so we'll conclude In favour of alternative hypothesis.

3)If our decision is "No, don't reject Ho".it means that sample statistic was too close to the null hypothesis value ..we do not have the enough evidence to support the alternative hypothesis