You are conducting a study to see if the accuracy rate for
fingerprint identification is significantly more than 0.85. You use
a significance level of ?=0.002.
H0:p=0.85
H1:p>0.85
You obtain a sample of size n=147 in which there are 128
successes.
What is the test statistic for this sample? (Report answer accurate
to three decimal places.)
test statistic =
What is the p-value for this sample? (Report answer accurate to
four decimal places.)
p-value =
The p-value is...
less than (or equal to) ??
greater than ??
This test statistic leads to a decision to...
reject the null
accept the null
fail to reject the null
As such, the final conclusion is that...
There is sufficient evidence to warrant rejection of the claim that the accuracy rate for fingerprint identification is more than 0.85.
There is not sufficient evidence to warrant rejection of the claim that the accuracy rate for fingerprint identification is more than 0.85.
The sample data support the claim that the accuracy rate for fingerprint identification is more than 0.85.
There is not sufficient sample evidence to support the claim that the accuracy rate for fingerprint identification is more than 0.85.
H0:p=0.85
H1:p>0.85
alpha = 0.002
sample of size n=147
there are x=128 successes.
p = x/n = 128/147 = 0.8707
test statistic =
Z = ( p - P ) / sqrt ((P*(1-P)) ÷ n )
= ( 0.8707 - 0.85 ) / sqrt ((0.85*(1-0.85))÷147)
Z = 0.705
Zcritical = 2.88
p-value = P ( Zalpha > 0.705 ) = 0.2406 > 0.002 = alpha
The p-value is 0.2406 greater than alpha
This test statistic leads to a decision to
fail to reject the null
There is not sufficient sample evidence to support the claim that the accuracy rate for fingerprint identification is more than 0.85.
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