In: Statistics and Probability
The Chartered Financial Analyst (CFA) designation is fast becoming a requirement for serious investment professionals. Although it requires a successful completion of three levels of grueling exams, it also entails promising careers with lucrative salaries. A student of finance is curious about the average salary of a CFA® charterholder. He takes a random sample of 25 recent charterholders and computes a mean salary of $139,000 with a standard deviation of $25,000. Use this sample information to determine the 90% confidence interval for the average salary of a CFA charterholder. Assume that salaries are normally distributed. (You may find it useful to reference the t table. Round intermediate calculations to at least 4 decimal places. Round "t" value to 3 decimal places and final answers to the nearest whole number.)
Confidence interval to. .
Solution :
Given that,
Point estimate = sample mean = = 139000
sample standard deviation = s = 25000
sample size = n = 25
Degrees of freedom = df = n - 1 = 25 - 1 = 24
At 90% confidence level
= 1 - 90%
=1 - 0.90 = 0.10
/2
= 0.05
t/2,df
= t0.05,24 = 1.711
Margin of error = E = t/2,df * (s /n)
= 1.711 * ( 25000 / 25)
Margin of error = E = 8555
At 90% confidence interval estimate of the population mean is,
- E < < + E
139000 - 8555 < < 139000 + 8555
130445 < < 147555
( 130445 , 147555 )
The 90% confidence interval of the population mean is : ( 130445 , 147555 )