An economist is interested in studying the monthly incomes of consumers in a particular region. The population standard deviation of monthly income is known to be 1000 rupees. A random sample of 49 individuals resulted in an average monthly income of 15000 rupees. What is the total width of the 90% confidence interval? *
Answers
The total width of the 90% confidence interval is 469.972.
Step-by-step explanation:
We are given that an economist is interested in studying the monthly incomes of consumers in a particular region. The population standard deviation of monthly income is known to be 1000 rupees.
A random sample of 49 individuals resulted in an average monthly income of 15000 rupees.
Firstly, the pivotal quantity for 90% confidence interval for the population mean is given by;
P.Q. = ~ N(0,1)
where, = sample average monthly income = Rs 15,000
n = sample of individuals = 49
= population standard deviation = Rs 1,000
= population mean monthly income
Here for constructing 90% confidence interval we have used One-sample z statistics because we know about the population standard deviation.
So, 99% confidence interval for the population mean, is ;
P(-1.6449 < N(0,1) < 1.6449) = 0.90 {As the critical value of z at 5%
level of significance are -1.6449 & 1.6449}
P(-1.6449 < < 1.6449) = 0.90
P( < < ) = 0.90
P( < < ) = 0.90
90% confidence interval for = [ , ]
= [ , ]
= [Rs 14765.014 , Rs 15234.986]
Therefore, 99% confidence interval for the population mean monthly income is [Rs 14765.014 , Rs 15234.986].
Now, the total width of 90% confidence interval = Rs 15234.986 - Rs 14765.014 = Rs 469.972.