Final answer:
To construct a 90% confidence interval for the change in Obama's approval rating from October 2012 to October 2014, we use the formula CI = p2 - p1 ± Z * sqrt((p2(1 - p2)/n2) + (p1(1 - p1)/n1)). Calculating the confidence interval, we find that the change in Obama's approval rating is between -0.18538 and -0.03462. This provides evidence that his approval rating decreased.
Step-by-step explanation:
To construct a 90% confidence interval for the change in Obama's approval rating among U.S. adults from October 2012 to October 2014, we can use the formula:
CI = p2 - p1 ± Z * sqrt((p2(1 - p2)/n2) + (p1(1 - p1)/n1))
where:
- p1 = proportion who approved in 2012 (780/1500)
- p2 = proportion who approved in 2014 (615/1500)
- Z = Z-score for a 90% confidence interval (1.645)
- n1 = sample size in 2012 (1500)
- n2 = sample size in 2014 (1500)
Calculating the confidence interval:
p1 = 780/1500 = 0.52
p2 = 615/1500 = 0.41
CI = 0.41 - 0.52 ± 1.645 * sqrt((0.41(1 - 0.41)/1500) + (0.52(1 - 0.52)/1500))
CI = -0.11 ± 1.645 * sqrt(0.000976 + 0.001139)
CI = -0.11 ± 1.645 * sqrt(0.002115)
CI = -0.11 ± 1.645 * 0.04598
CI = -0.11 ± 0.07538
CI = (-0.18538, -0.03462)
The 90% confidence interval for the change in Obama's approval rating from October 2012 to October 2014 is (-0.18538, -0.03462).
Since the interval includes negative values, we can conclude that his approval rating decreased from October 2012 to October 2014.