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Dierdra Dierdra
wrote...
Posts: 307
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6 years ago
It is customary to say that the result of a hypothesis test is statistically significant when the P-value is smaller than .
  1.True
  2.False

Q. 2

Small P-values indicate that the observed sample is inconsistent with the null hypothesis.
  1.True
  2.False

Q. 3

All other things being equal, choosing a smaller value of  will increase the probability of making a type II error.
  1.True
  2.False

Q. 4

 is called the observed significance level.
  1.True
  2.False

Q. 5

For tests of hypotheses about ,  decreases as the sample size increases if the level of significance stays the same.
  1.True
  2.False

Q. 6

The level of significance of a test is the probability of making a type I error, given that the null hypothesis is true.
  1.True
  2.False

Q. 7

A type II error is made by failing to reject a false null hypothesis.
  1.True
  2.False

Q. 8

If the null hypothesis is not rejected, there is strong statistical evidence that the null hypothesis is true.
  1.True
  2.False
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Answer verified by a subject expert
Raudhatul i.Raudhatul i.
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6 years ago
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Dierdra Author
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6 years ago
I appreciate what you did here, answered it right Smiling Face with Open Mouth
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Yesterday
this is exactly what I needed
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2 hours ago
Correct Slight Smile TY
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