(e) A statistically significant result is not always of practical importance. (f) the chance of Type II error. As you take steps to decrease the chance of Type I error, you correspondingly increase

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Questions e and f
True or False.
A P-value represents the chance of obtaining a result at least as extreme as our test
(a)
statistic when the null hypothesis is false.
(b)
When you reject a null hypothesis that is, in fact, true, you have committed a Type II
error.
(c)
you can view this as an i.i.d. random sample taken freH population of all Hs and Ts that coin
can possibly flip.
When you flip a coin 50 times, recording whether you got "heads" or "tails" on each flip,
When your P-value is 0.213, you will reject the null hypothesis at the significance level
(d)
a = 0.05.
(e)
A statistically significant result is not always of practical importance.
As you take steps to decrease the chance of Type I error, you correspondingly increase
(f)
the chance of Type II error.
Transcribed Image Text:True or False. A P-value represents the chance of obtaining a result at least as extreme as our test (a) statistic when the null hypothesis is false. (b) When you reject a null hypothesis that is, in fact, true, you have committed a Type II error. (c) you can view this as an i.i.d. random sample taken freH population of all Hs and Ts that coin can possibly flip. When you flip a coin 50 times, recording whether you got "heads" or "tails" on each flip, When your P-value is 0.213, you will reject the null hypothesis at the significance level (d) a = 0.05. (e) A statistically significant result is not always of practical importance. As you take steps to decrease the chance of Type I error, you correspondingly increase (f) the chance of Type II error.
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