PageNumber:316:frornloginpage:N..InvokeType:Imsa Welcome Jaylyn Williams STA212:
ID: 2922672 • Letter: P
Question
PageNumber:316:frornloginpage:N..InvokeType:Imsa Welcome Jaylyn Williams STA212: Fall2017-Agard Print | Settings | SECTION 10.3 3. Which of the following are true? If false, explain briefly. a) A very high P-value is strong evidence that the null hy- pothesis is false. b) A very low P-value proves that the null hypothesis is false. c) A high P-value shows that the null hypothesis is true. d) A P-value below 0.05 is always considered sufficient evi- dence to reject a null hypothesis. 4. Which of the following are true? If false, explain briefly a) A very low P-value provides evidence against the null hypothesis b) A high P-value is strong evidence in favor of the null hypothesis c) A P-value above 0.10 shows that the null hypothesis is true d) If the null hypothesis is true, you can't get a P-value below 0.01 5. A consulting firm had predicted that 35%, of the emExplanation / Answer
3.
a. False, If a P- value is larger, the null hypothesis can still be false but we can’t say that this is always false.
b. False, It results does not proof that null hypothesis is rejecting.
c. False. Similarly conclusion is obtained by a.
A high p-value shows that the data are compatible with the null hypothesis and conclude only that a insufficient evidence to reject the null hypothesis.
d. False- A P value of 0.05 doesn’t show if the null hypothesis is true or not. It only gives evidence that you could reject the null hypothesis or not based on the level of significance
4.
a. True
b) False
c) False- A P value of 0.10 doesn’t show if null hypothesis is true or not. It only gives us evidence if we could reject the null hypothesis or not based on the level of significance
d) False. May be comes at any time point.
Related Questions
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.