SOLUTION: Jim’s Auto Insurance Company customers sometimes have to wait a long time to speak to a customer service representative when they call regarding disputed claims. A random sample
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Question 1201334: Jim’s Auto Insurance Company customers sometimes have to wait a long time to speak to a customer service representative when they call regarding disputed claims. A random sample of 25 such calls yielded a mean waiting time of 22 minutes with a standard deviation of 6 minutes. Construct a 99% confidence Interval for the population mean of such waiting times. Assume that such waiting times for the population follow a normal distribution. Answer by math_tutor2020(3817) (Show Source):
At 99% confidence and df = 24, the t critical value is roughly t = 2.797
Use a table like this https://www.sjsu.edu/faculty/gerstman/StatPrimer/t-table.pdf
to get that value.
Look at the row labeled df = 24.
Also, look at the column labeled "confidence level 99%".
The confidence levels are labeled at the bottom.
Using a T distribution calculator is also another option to determine the t critical value.
In summary so far, we have these input values:
xbar = 22
s = 6
n = 25
t = 2.797 approximately
Let's compute the margin of error for the mean.
E = margin of error
E = t*s/sqrt(n)
E = 2.797*6/sqrt(25)
E = 3.3564
This value is approximate.
Now we can compute the boundaries.
L = lower boundary of the confidence interval
L = xbar - E
L = 22 - 3.3564
L = 18.6436
and
U = upper boundary of the confidence interval
U = xbar + E
U = 22 + 3.3564
U = 25.3564
These values are approximate.
The 99% confidence interval in the format (L, U) is approximately (18.6436, 25.3564)
The 99% confidence interval in the format L < mu < U is approximately 18.6436 < mu < 25.3564
This second format is a bit more descriptive in terms of which population parameter we're trying to measure.
Therefore, we are 99% confident the population mean waiting time is somewhere between roughly 18.6436 minutes and 25.3564 minutes.