Question

Ho p(greater than and equal to) .15

H p( less than) .15

z= -1.176

p value =.1190 > .05

so we fail to reject our null hypothesis.

95% confidence interaval = .1387 (plus minus) .01886015

between 12% and 15.76%

when would the consortium make a type 1 error? When would the consortium make a type II error? In addition to a narrative explanation of these types of errors, also create a table to help in the understanding of these types of errors in the specific application and context of this case.

Answer #1

Type I error would be when we reject the true null hypothesis

and

type II error will be when we accept the false null hypothesis

**Type I error will be concluding that true proportion is
less than 0.15 while in actual it is greater than or equal to
0.15**

**and**

**type II error will be concluding that true proportion is
greater than or equal to 0.15, while in actual it is less than
0.15**

reality | |||

Ho is true | Ho is false | ||

conclusion | fail to reject Ho | correct decision | type II error |

reject Ho | Type I error | correct decision |

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