a)
Ho : p = 0.98
H1 : p < 0.98 (Left tail
test)
b)
sample size,n < 5% of population size,N
np>5 and n(1-p)>5
c)
Level of Significance, α =
0.05
Number of Items of Interest, x =
12662
Sample Size, n = 13000
Sample Proportion , p̂ = x/n =
0.9740
Standard Error , SE = √( p(1-p)/n ) =
0.0012
Z Test Statistic = ( p̂-p)/SE =
(0.974-0.98)/0.0012= -4.89
p-Value = 0.0000 [excel
function =NORMSDIST(z)]
Decision: p-value<α , reject null hypothesis
There is enough evidence that proportion of measeles decreased
d)
Significant because we reject the hypothesis
e)
Level of Significance, α =
0.10
Number of Items of Interest, x =
12662
Sample Size, n = 13000
Sample Proportion , p̂ = x/n =
0.9740
z -value = Zα/2 = 1.645 [excel
formula =NORMSINV(α/2)]
Standard Error , SE = √[p̂(1-p̂)/n] =
0.001396
margin of error , E = Z*SE = 1.645
* 0.00140 = 0.0023
90% Confidence Interval is
Interval Lower Limit = p̂ - E = 0.97400
- 0.00230 = 0.9717
Interval Upper Limit = p̂ + E = 0.97400
+ 0.00230 = 0.9763
90% confidence interval is (
0.972 < p < 0.976 )
f)
Results are not practically significant because the change is very minor
Please let me know in case of any doubt.
Thanks in advance!
Please upvote!
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