In: Statistics and Probability
Suppose we wish to estimate the mean heart rate, using a 95% confidence interval, for a par- ticular population. We observe 130 individuals to see a sample mean of 98.249 and a sample standard deviation of 0.733. We then find the tc-value, corresponding to the value on the t-distribution (d.f. = 130) so that the area to the left of it is equal to 95%, which ends up being:
tc ≈ 1.656659.
Next we compute the error and obtain our confidence interval of
98.1425 < μ < 98.355. What horrible, horrible, mistake(s) have we made?
Solution :
Given that,
Point estimate = sample mean = = 98.249
sample standard deviation = s = 0.733
sample size = n = 130
Degrees of freedom = df = n - 1 = 130 - 1 = 129
At 95% confidence level
= 1 - 95%
=1 - 0.95 =0.05
/2
= 0.025
t/2,df
= t0.025,129 = 1.979
Margin of error = E = t/2,df * (s /n)
= 1.979 * ( 0.733 / 130)
Margin of error = E = 0.127
The 95% confidence interval estimate of the population mean is,
- E < < + E
98.249 - 0.127 < < 98.249 + 0.127
( 98.122 < < 98.376 )