Below is the output of a hypothesis test run in R. > prop.test(244, 306,p=0.75, alternative="two.sided", conf. level=0.95, correct=FALSE) 1-sample proportions test without continuity correction data: 244 out of 306, null probability 0.75 X-squared 3.6645, df = 1, p-value = 0.05558 alternative hypothesis: true p is not equal to 0.75 95 percent confidence interval: 0.7487913 0.8386058 %3D sample esti mates: 0.7973856 a) What is the null and alternate hypothesis based on this command? b) What is your population parameter? c) What is your sample statistic? d) Write a sentence reporting the 95% confidence interval. e) What is your p-value? f) Is your result statistically significant using a level of significance of 0.05? What inference would you make based on this?

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Below is the output of a hypothesis test run in R.
> prop.test(244, 306, p=0.75, alternative="two.sided", conf. level=0.95,
correct=FALSE)
1-sample proportions test without continuity correction
244 out of 306, null probability 0.75
data:
X-squared = 3.6645, df = 1, p-value = 0.05558
alternative hypothesis: true p is not equal to 0.75
95 percent confidence interval:
0.7487913 0.8386058
%3D
%3D
sample estimates:
0.7973856
a)
What is the null and alternate hypothesis based on this command?
b)
What is your population parameter?
c)
What is your sample statistic?
d)
Write a sentence reporting the 95% confidence interval.
e)
What is your p-value?
f)
Is your result statistically significant using a level of significance of 0.05?
What inference would you make based on this?
Transcribed Image Text:Below is the output of a hypothesis test run in R. > prop.test(244, 306, p=0.75, alternative="two.sided", conf. level=0.95, correct=FALSE) 1-sample proportions test without continuity correction 244 out of 306, null probability 0.75 data: X-squared = 3.6645, df = 1, p-value = 0.05558 alternative hypothesis: true p is not equal to 0.75 95 percent confidence interval: 0.7487913 0.8386058 %3D %3D sample estimates: 0.7973856 a) What is the null and alternate hypothesis based on this command? b) What is your population parameter? c) What is your sample statistic? d) Write a sentence reporting the 95% confidence interval. e) What is your p-value? f) Is your result statistically significant using a level of significance of 0.05? What inference would you make based on this?
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