A random sample of 322 medical doctors showed that 164 had a solo practice.
(a) Let p represent the proportion of all medical
doctors who have a solo practice. Find a point estimate for
p. (Use 3 decimal places.)
(b) Find a 90% confidence interval for p. (Use 3 decimal
places.)
lower limit | |
upper limit |
Give a brief explanation of the meaning of the interval.
90% of the confidence intervals created using this method would include the true proportion of physicians with solo practices.90% of the all confidence intervals would include the true proportion of physicians with solo practices. 10% of the confidence intervals created using this method would include the true proportion of physicians with solo practices.10% of the all confidence intervals would include the true proportion of physicians with solo practices.
(c) As a news writer, how would you report the survey results
regarding the percentage of medical doctors in solo practice?
Report p̂.Report p̂ along with the margin of error. Report the confidence interval.Report the margin of error.
What is the margin of error based on a 90% confidence interval?
(Use 3 decimal places.)
n = 322
x = 164
A) point estimate is
= x / n = 164 / 322 =0.509
#(b) Find a 90% confidence interval for p. is
- ME < P < + ME
1 - = 1 - 0. 509 = 0 491
At 90% confidence level the z is ,
= 1 - 90% = 1 - 0.90 = 0.10
/ 2 = 0.10 / 2 = 0.05
Z/2 = Z0.05 = 1.645
Margin of error =M E
ME= Z / 2 * (( * (1 - )) / n)
ME= 1.645 * (((0.509 * 0.491) / 322)
ME= 0.046
A 90 % confidence interval for population proportion p is ,
- ME < P < + ME
0.509 - 0.046 < p < 0.503 + 0.046
0.463< p < 0.555
lower limit=0.463 | |
upper limit=0.555 |
The 90% confidence interval for the population proportion p is : ( 0.463,0.555)
#c)What is the margin of error based on a 90% confidence interval?
Margin of error =M E
ME= Z / 2 * (( * (1 - )) / n)
ME= 1.645 * (((0.509 * 0.491) / 322)
ME= 0.046
#Margin of error is 0.046
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