In: Statistics and Probability
A sample of 800 arthritis patients participate in a test of a new pain reliever. 624
of the participants rate their pain as ‘substantially reduced’. Give a 95% lower bound
confidence interval for the proportion of arthritis patients whose pain would be
substantially reduced when taking the new pain reliever. Interpret your result.
Level of Significance, α =
0.05
Number of Items of Interest, x =
624
Sample Size, n = 800
Sample Proportion , p̂ = x/n =
0.780
z -value = Zα/2 = 1.960 [excel
formula =NORMSINV(α/2)]
Standard Error , SE = √[p̂(1-p̂)/n] =
0.0146
margin of error , E = Z*SE = 1.960
* 0.0146 = 0.0287
95% Confidence Interval is
Interval Lower Limit = p̂ - E = 0.780
- 0.0287 = 0.7513
Interval Upper Limit = p̂ + E = 0.780
+ 0.0287 = 0.8087
95% confidence interval is (
0.751 < p < 0.809
)
we are 95% confident that true proportion of arthritis patients whose pain would be substantially reduced when taking the new pain reliever will lie within confidence interval