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Which of the following are type 1 or type 2 errors. a) You reject Ho, when H, is true. b) You do not reject, H, when H, is fa

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Answer #1

In regards to statistical hypothesis, we know--

Reality
Positive Negative

Study

Finding

Positive True Postive Type I error(False positive)
Negative Type II error(False negative) True Negative

a) You reject H0, when H0 is true.

Type I error

b) You do not reject H0, when H0 is false.

Type II error

c) H_0:Average\:body\:tempareture\:is\:98.6^{o}\:vs.

H_1:Average\:body\:tempareture\:is\:not\:98.6^{o}\:

You conclude not to reject that average body tempareture of 98.6o when in reality it is not 98.6o

Type II error

d) H_0:dropout\:rate\:of\:high\:school\:students\:is\:23\:percent\:vs.

H_1:dropout\:rate\:of\:high\:school\:students\:is\:lower\:than\:23\:percent

You conclude to reject the dropout rate is 23% when in reality it is 23%

Type I error

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