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Stat Tutor

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1:57

Incorrect. We have evidence to believe H_{a} when we reject H_{0} and we reject H_{0} when *P*-value < α.

Correct. We have evidence to believe H_{a} when we reject H_{0} and we reject H_{0} when *P*-value < α.

Incorrect. Try again.

2

Incorrect. We do not have evidence to believe H_{a} when we fail to reject H_{0} and we fail to reject H_{0} when *P*-value > α. We never conclude H_{0} is correct.

Correct. We do not have evidence to believe H_{a} when we fail to reject H_{0} and we fail to reject H_{0} when *P*-value > α. We never conclude H_{0} is correct.

Incorrect. Try again.

2

3:02

Incorrect. In using H_{0} to specify the center of the sampling distribution of \(\overline{x} \), we are assuming H_{0} is correct.

Correct. In using H_{0} to specify the center of the sampling distribution of \(\overline{x} \), we are assuming H_{0} is correct.

Incorrect. Try again.

2

4:15

Incorrect. "≠” in H_{a} indicates that the hypotheses are two-sided.

Correct. "≠” in H_{a} indicates that the hypotheses are two-sided.

Incorrect. Try again.

2

5:55

Incorrect. The direction in H_{a} tells us which tail contains the *P*-value for the test.

Correct. The direction in H_{a} tells us which tail contains the *P*-value for the test.

Incorrect. Try again.

2

7:21

Incorrect. The research question is “Is the mean for all BYU students less than 6?” So, H_{a} is “μ < 6.”

Correct. The research question is “Is the mean for all BYU students less than 6?” So, H_{a} is “μ < 6.”

Incorrect. Try again.

2

11:25

Incorrect. The direction specified in H_{a} tells us which tail in which to find *P*-value in the sampling distribution of \(\overline{x} \).

Correct. The direction specified in H_{a} tells us which tail in which to find *P*-value in the sampling distribution of \(\overline{x} \).

Incorrect. Try again.

2

Incorrect. We computed the probability of getting \(\overline{x} \) = 5.2 or lower if μ = 6.

Correct. We computed the probability of getting \(\overline{x} \) = 5.2 or lower if μ = 6.

Incorrect. Try again.

2

11:31

Incorrect. Since *P*-value = 0.0018 is less than α = 0.10, we reject H_{0}.

Correct. Since *P*-value = 0.0018 is less than α = 0.10, we reject H_{0}.

Incorrect. Try again.

2

Incorrect. Since *P*-value = 0.0018 is less than α = 0.10, we reject H_{0} and we can conclude H_{a} is correct.

Correct. Since *P*-value = 0.0018 is less than α = 0.10, we reject H_{0} and we can conclude H_{a} is correct.

Incorrect. Try again.

2

11:43

Incorrect. Whenever *P*-value is less than α we have sufficience evidence to conclude H_{a} is correct.

Correct. Whenever *P*-value is less than α we have sufficience evidence to conclude H_{a} is correct.

Incorrect. Try again.

2

13:43

Incorrect. The research question is “Has the training raised the mean above 483?” So, H_{a} is “μ > 483.”

Correct. The research question is “Has the training raised the mean above 483?” So, H_{a} is “μ > 483.”

Incorrect. Try again.

2

17:43

Incorrect. The direction specified in H_{a} tells us which tail in which to find *P*-value in the sampling distribution of \(\overline{x} \).

Correct. The direction specified in H_{a} tells us which tail in which to find *P*-value in the sampling distribution of \(\overline{x} \).

Incorrect. Try again.

2

Incorrect. We computed the probability of getting \(\overline{x} \) = 499.1 or greater if μ = 483.

Correct. We computed the probability of getting \(\overline{x} \) = 499.1 or greater if μ = 483.

Incorrect. Try again.

2

17:58

Incorrect. Since *P*-value = 0.2358 is NOT less than α = 0.05, we do NOT reject H_{0}.

Correct. Since *P*-value = 0.2358 is NOT less than α = 0.05, we do NOT reject H_{0}.

Incorrect. Try again.

2

Incorrect. Since *P*-value = 0.2358 is NOT less than α = 0.05, we do NOT reject H_{0} and we cannot conclude H_{a} is correct.

Correct. Since *P*-value = 0.2358 is NOT less than α = 0.05, we do NOT reject H_{0} and we cannot conclude H_{a} is correct.

Incorrect. Try again.

2

18:57

Incorrect. Whenever *P*-value is NOT less than α we have insufficience evidence to conclude H_{a} is correct.

Correct. Whenever *P*-value is NOT less than α we have insufficience evidence to conclude H_{a} is correct.

Incorrect. Try again.

2

20:24

Incorrect. The research question is “Does the mean differ from 128?” So, H_{a} is “μ ≠ 128.”

Correct. The research question is “Does the mean differ from 128?” So, H_{a} is “μ ≠ 128.”

Incorrect. Try again.

2

22:00

Incorrect. If data are not appropriately collected, *P*-values and confidence levels are not accurate.

Correct. If data are not appropriately collected, *P*-values and confidence levels are not accurate.

Incorrect. Try again.

2

26:28

Incorrect. The direction specified in H_{a} tells us which tail(s) in which to find *P*-value in the sampling distribution of \(\overline{x} \). Since we have “≠” in H_{a}, we have a two-sided test and *P*-value is the area in both tails.

Correct. The direction specified in H_{a} tells us which tail(s) in which to find *P*-value in the sampling distribution of \(\overline{x} \). Since we have “≠” in H_{a}, we have a two-sided test and *P*-value is the area in both tails.

Incorrect. Try again.

2

26:45

Incorrect. Since *P*-value = 0.2758 is NOT less than α = 0.05, we do NOT reject H_{0}.

Correct. Since *P*-value = 0.2758 is NOT less than α = 0.05, we do NOT reject H_{0}.

Incorrect. Try again.

2

Incorrect. Since *P*-value = 0.2758 is NOT less than α = 0.05, we do NOT reject H_{0} and we cannot conclude H_{a} is correct.

Correct. Since *P*-value = 0.2758 is NOT less than α = 0.05, we do NOT reject H_{0} and we cannot conclude H_{a} is correct.

Incorrect. Try again.

2

27:44

Incorrect. Whenever *P*-value is NOT less than α we have insufficience evidence to conclude H_{a} is correct.

Correct. Whenever *P*-value is NOT less than α we have insufficience evidence to conclude H_{a} is correct.

Incorrect. Try again.

2

29:32

Incorrect. The direction in the alternative hypothesis specifies the tail (or tails) where we find the area of *P*-value.

Correct. The direction in the alternative hypothesis specifies the tail (or tails) where we find the area of *P*-value.

Incorrect. Try again.

2