In: Statistics and Probability
Suppose a survey was done this year to find out what proportion of young Canadians would like to be rich. Out of a random sample of 1100 young Canadians, 387 said yes, they would like to be rich. What is the 95% confidence interval for the true proportion of all young Canadians who would like to be rich? Show all your work.
Solution :
Given that,
n = 1100
x = 387
Point estimate = sample proportion = = x / n = 387/1100=0.352
1 - = 1- 0.352 =0.648
At 95% confidence level the z is ,
= 1 - 95% = 1 - 0.95 = 0.05
/ 2 = 0.05 / 2 = 0.025
Z/2 = Z0.025 = 1.96 ( Using z table )
Margin of error = E = Z/2 * ((( * (1 - )) / n)
= 1.96 (((0.352*0.648) / 1100)
E = 0.028
A 95% confidence interval for proportion p is ,
- E < p < + E
0.352-0.028 < p < 0.352+0.028
0.324< p < 0.380
(0.324, 0.380)