In a recent poll of 1100 randomly selected adults, a president's approval rating stood at 49%.
a) Make a 90% Confidence interval for his approval rating by all adults in the country.
b) Based on the confidence interval, test the null hypothesis that 49% of the country approved of the way he was handling his job at that time.
Part a
Confidence interval for Population Proportion is given as below:
Confidence Interval = P ± Z* sqrt(P*(1 – P)/n)
Where, P is the sample proportion, Z is critical value, and n is sample size.
We are given
n = 1100
P = x/n = 0.49
Confidence level = 90%
Critical Z value = 1.6449
(by using z-table)
Confidence Interval = P ± Z* sqrt(P*(1 – P)/n)
Confidence Interval = 0.49 ± 1.6449* sqrt(0.49*(1 – 0.49)/1100)
Confidence Interval = 0.49 ± 1.6449* 0.0151
Confidence Interval = 0.49 ± 0.0248
Lower limit = 0.49 - 0.0248 = 0.4652
Upper limit = 0.49 + 0.0248 = 0.5148
Confidence interval = (0.4652, 0.5148)
Part b
Based on the above confidence interval, we do not reject the null hypothesis because the value 0.49 is included in the above confidence interval. There is sufficient evidence to conclude that 49% of the country approved of the way he was handling his job at that time.
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