In: Statistics and Probability
PART 3 - Create a confidence interval for a
proportion.
Investigate the proportion of married patients.
3a. Write a reason why you would want to estimate this population proportion. What can be learned?
3b. State the sample size, n, and the sample proportion, "p bar" (p
with a line over it).
3c. Calculate a 95% confidence interval for the population
proportion, p. Report at least four decimal places.
Marital Status |
M |
S |
DWS |
M |
M |
M |
DWS |
M |
M |
S |
S |
S |
DWS |
S |
DWS |
S |
M |
M |
M |
M |
M |
M |
DWS |
S |
S |
M |
S |
S |
DWS |
S |
M |
DWS |
DWS |
S |
M |
S |
S |
S |
S |
M |
DWS |
M |
M |
S |
S |
M |
DWS |
S |
S |
DWS |
S |
S |
S |
M |
M |
DWS |
S |
M |
M |
DWS |
M |
M |
S |
M |
M |
M |
S |
M |
S |
M |
M |
DWS |
S |
S |
DWS |
S |
M |
S |
M |
S |
M |
M |
M |
DWS |
M |
S |
S |
M |
S |
S |
S |
M |
*M = Married.
*S = Single.
*DWS = Divorced, Widowed, or Separated
The number of data given here is 92.
So n=92
Number of success in the sample is equal to the number of married people in the sample (x).
So x=39
To find confidence interval we should find and
= x/n= 39/92= 0.423 which is the sample proportion.
=1-= 1- 0.423=0.576
Confidence Interval given= 0.95
= 1- CL= 1-0.95=0.05
=
= 1.96
This value can be found from standard probability distribution table.
We estimate with 95% confidence that 32.21% to 52.38% of people are married.
95% of confidence level constructed in this way would contain true value of the population proportion of people who are married.