Question

# A random sample of 322 medical doctors showed that 164 had a solo practice. (a) Let...

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 .Report 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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