ap statistics section 11.4 b. a significance test makes a type i error when...
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![Page 1: AP Statistics Section 11.4 B. A significance test makes a Type I error when ___________________________________ P(Type 1 error ) = ___ A significance](https://reader036.vdocuments.site/reader036/viewer/2022082516/56649f475503460f94c691da/html5/thumbnails/1.jpg)
AP Statistics Section 11.4 B
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A significance test makes a Type I error when
___________________________________ P(Type 1 error ) = ___
A significance test makes a Type II error when
__________________________________.
e.really tru is H theand H rejectsit 00
ereally tru is H theand H rejects tofailsit a0
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0Hreject tofail
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Type II errors are always computed at a particular value for .
Calculating the probability of a Type II error by hand is possible but unpleasant. It’s better to let
technology do the work for you.
You will not be expected to find P(Type II error) on the AP exam.
aH
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If the probability of a Type II error for a particular Ha is high, this means that the test is not sensitive (or tuned-in) enough to regularly detect that Ha.
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power
sensitive more
-1 trueis H when H
rejectingnot ofy Probabilit
a0
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EXAMPLE: If you learned that the power of a .05 significance test in the paramedic response time
example against the alternative value was .81, explain what that would mean in this setting.
minutes. 6.4actually is timeresponse paramedic true
when the6.7:H reject the test willcesignifican
that thechance 81%an is theremeans .81 ofpower A
0
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Calculations of p-values and calculations of power both tell us what would happen if
the test were repeated many times.
A p-value tells us what would happen supposing that the ___________, while
power describes what would happen supposing a particular __________.
trueis 0H
trueis aH
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When planning a study that will include a significance test, a careful user of statistics
decides what alternative values of the parameter the test should detect and
checks that the power is adequate. The power depends on which particular
parameter value in we are interested in. To calculate power, we must fix an so that there is a fixed rule for rejecting .
aH
0H
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Increasing the Power
High power is always desirable. Along with ____ confidence
intervals and ____ significance tests, ____ power is becoming a
standard.
%95%5
%80
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The best advice for maximizing the power of a test is to choose as high an___level as you are willing to risk AND
as large a sample size as you can afford.
error I Type a of
y probabilit theincrease