A, state the appropriate hypotheses and test using (alpha = 0.07)
B, Draw the necessary sampling distribution indicating the critical values for (alpha = 0.07)
C, state the decision
D, State the conclusion
E, what error is risked
F construct 93% confidence interval and explain carefully how it can be used to test the hypotheses
a)
Ho : p = 0.9
H1 : p ╪ 0.9
Number of Items of Interest, x =
64
Sample Size, n = 75
Sample Proportion , p̂ = x/n =
0.8533
Standard Error , SE = √( p(1-p)/n ) =
0.0346
Z Test Statistic = ( p̂-p)/SE = ( 0.8533
- 0.9 ) / 0.0346
= -1.3472
b)
sampling distribution
µp = 0.90
σx=Standard Error , SE = √( p(1-p)/n ) = 0.0346
critical z value = ±
1.8119 [excel formula =NORMSINV(α/2)]
c) | test stat |< 1.8119 , fail to reject Ho
d) conclusion: there is not enough evidence to say that this percentage of registered Democrats changed
e) Type II error
f)
Level of Significance, α =
0.07
Number of Items of Interest, x =
64
Sample Size, n = 75
Sample Proportion , p̂ = x/n =
0.8533
z -value = Zα/2 = 1.812 [excel
formula =NORMSINV(α/2)]
Standard Error , SE = √[p̂(1-p̂)/n] =
0.0409
margin of error , E = Z*SE = 1.812
* 0.0409 = 0.0740
93% Confidence Interval is
Interval Lower Limit = p̂ - E = 0.853
- 0.0740 = 0.7793
Interval Upper Limit = p̂ + E = 0.853
+ 0.0740 = 0.9274
93% confidence interval is (
0.7793 < p < 0.9274
)
since, 0.90 is contained in confidence interval, So, fail to reject Ho
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