1. In a hypothesis test, you assume that the alternative hypothesis is true.
2. Statistical hypotheses are statements about the sample.
3. A type I error is committed when you fail to reject a null hypothesis when it is false.
4. If you want to support a claim, write it as a null hypothesis.
5. When using a P-value to make a conclusion in a hypothesis test with α as significance
level and P ≤ α , you should fail to reject H0.
6. When conducting z-test for mean μ, you should reject the null hypothesis if the P-value
falls within the rejection region.
7. The lower the P-value, the more evidence there is in favor of rejecting H0.
8. The degrees of freedom for a t-test, when n < 30, is equal to the sample size.
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Tonya Cox
ReplyDeleteRick Oneil
1. F
2. T
3. F
4. T
5. F
6. F
7. T
8. T
Tonya
ReplyDeleteRick
Ammended
#6. Should be True
Tonya
ReplyDeleteRick
Amended
#2. False
#4. False
#8. False
Posted By: Bryan S., Sheila W., Karolyn M., Nick N.
ReplyDelete1) False
2) False
3) False
4) False
5) False
6) True
7) True
8) False
Mel, John, Evan, Rick
ReplyDelete1. In a hypothesis test, you assume that the alternative hypothesis is true.
F
2. Statistical hypotheses are statements about the sample.
F
3. A type I error is committed when you fail to reject a null hypothesis when it is false.
F
4. If you want to support a claim, write it as a null hypothesis.
F
5. When using a P-value to make a conclusion in a hypothesis test with α as significance
level and P ≤ α , you should fail to reject H0.
F
6. When conducting z-test for mean μ, you should reject the null hypothesis if the P-value
falls within the rejection region.
T
7. The lower the P-value, the more evidence there is in favor of rejecting H0.
T
8. The degrees of freedom for a t-test, when n < 30, is equal to the sample size.
F
Gema Meyers
ReplyDeleteRob Shaner
1 F
2 F
3 F
4 F
5 F
6 T
7 T
8 F
Justin Kirchmeier
ReplyDeleteJace Wheeler
Alex Reyes
1. False
2. True
3. False
4. False
5. False
6. True
7. True
8. False