In: Statistics and Probability
When σ is unknown and the sample is of size n ≥ 30, there are two methods for computing confidence intervals for μ.
Method 1: Use the Student's t distribution with
d.f. = n − 1.
This is the method used in the text. It is widely employed in
statistical studies. Also, most statistical software packages use
this method.
Method 2: When n ≥ 30, use the sample standard
deviation s as an estimate for σ, and then use
the standard normal distribution.
This method is based on the fact that for large samples, s
is a fairly good approximation for σ. Also, for large
n, the critical values for the Student's t
distribution approach those of the standard normal
distribution.
Consider a random sample of size n = 41, with sample mean x = 45.7 and sample standard deviation s = 6.4.
(a) Compute 90%, 95%, and 99% confidence intervals for μ using Method 1 with a Student's t distribution. Round endpoints to two digits after the decimal.
90% | 95% | 99% | |
lower limit | |||
upper limit |
(b) Compute 90%, 95%, and 99% confidence intervals for μ
using Method 2 with the standard normal distribution. Use
s as an estimate for σ. Round endpoints to two
digits after the decimal.
90% | 95% | 99% | |
lower limit | |||
upper limit |
(c) Now consider a sample size of 71. Compute 90%, 95%, and 99% confidence intervals for μ using Method 1 with a Student's t distribution. Round endpoints to two digits after the decimal.
90% | 95% | 99% | |
lower limit | |||
upper limit |
(d) Compute 90%, 95%, and 99% confidence intervals for μ
using Method 2 with the standard normal distribution. Use
s as an estimate for σ. Round endpoints to two
digits after the decimal.
90% | 95% | 99% | |
lower limit | |||
upper limit |
Method 1: Use the Student's t distribution with d.f. = n − 1.
Consider a random sample of size n = 41, with sample mean x = 45.7 and sample standard deviation s = 6.4.
Formula for Confidence Interval
90% confidence intervals for μ using Method 1 with a Student's t distribution
Sample Size : n | 41 |
Degrees of freedom : n-1 | 40 |
Confidence Level : | 90 |
0.1 | |
/2 | 0.05 |
1.6839 |
95% confidence intervals for μ using Method 1 with a Student's t distribution
Sample Size : n | 41 |
Degrees of freedom : n-1 | 40 |
Confidence Level : | 95 |
0.05 | |
/2 | 0.025 |
t_{0.025,40} | 2.0211 |
99% confidence intervals for μ using Method 1 with a Student's t distribution
Degrees of freedom : n-1 | 40 |
Confidence Level : | 99 |
0.01 | |
/2 | 0.005 |
t_{0.005,40} | 2.7045 |
90% | 95% | 99% | |
Lower Limit | 44.02 | 43.68 | 43 |
Upper Limit | 47.38 | 47.72 | 48.4 |
(b) Compute 90%, 95%, and 99% confidence intervals for μ using Method 2 with the standard normal distribution
Formula
90% confidence intervals for μ using Method 2 with the standard normal distribution
Confidence Level : | 90 |
: | 0.1 |
/2 | 0.05 |
Z0.05 | 1.6449 |
95% confidence intervals for μ using Method 2 with the standard normal distribution
Confidence Level : | 95 |
0.05 | |
/2 | 0.025 |
Z0.025 | 1.96 |
99% confidence intervals for μ using Method 2 with the standard normal distribution
Confidence Level : | 99 |
0.01 | |
/2 | 0.005 |
Z0.005 | 2.5758 |
90% | 95% | 99% | |
Lower Limit | 44.06 | 43.74 | 43.13 |
Upper Limit | 47.34 | 47.66 | 48.27 |
c) Now consider a sample size of 71. Compute 90%, 95%, and 99% confidence intervals for μ using Method 1 with a Student's t distribution
Formula for Confidence Interval
90% confidence intervals for μ using Method 1 with a Student's t distribution
Sample Size : n | 71 |
Degrees of freedom : n-1 | 70 |
Confidence Level : | 90 |
0.1 | |
/2 | 0.05 |
t0.05,70 | 1.6669 |
95% confidence intervals for μ using Method 1 with a Student's t distribution
Sample Size : n | 71 |
Degrees of freedom : n-1 | 70 |
Confidence Level : | 95 |
0.05 | |
/2 | 0.025 |
t0.025,70 | 1.9944 |
99% confidence intervals for μ using Method 1 with a Student's t distribution
Sample Size : n | 71 |
Degrees of freedom : n-1 | 70 |
Confidence Level : | 99 |
0.01 | |
/2 | 0.005 |
t0.005,70 | 2.6479 |
90% | 95% | 99% | |
Lower Limit | 44.43 | 44.19 | 43.69 |
Upper Limit | 46.97 | 47.21 | 47.71 |
(d) Compute 90%, 95%, and 99% confidence intervals for μ using Method 2 with the standard normal distribution. Use s as an estimate for σ
Formula
90% confidence intervals for μ using Method 2 with the standard normal distribution
Confidence Level : | 90 |
: | 0.1 |
/2 | 0.05 |
Z0.05 | 1.6449 |
95% confidence intervals for μ using Method 2 with the standard normal distribution
Confidence Level : | 95 |
0.05 | |
/2 | 0.025 |
Z0.025 | 1.96 |
99% confidence intervals for μ using Method 2 with the standard normal distribution
Confidence Level : | 99 |
0.01 | |
/2 | 0.005 |
Z0.005 | 2.5758 |
90% | 95% | 99% | |
Lower Limit | 44.45 | 44.21 | 43.74 |
Upper Limit | 46.95 | 47.19 | 47.66 |