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 = 31, with sample mean x = 44.3 and sample standard deviation s = 6.5. (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.(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.(d) Now consider a sample size of 81. 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.
a)
Degree of freedom: df=n-1=30
Excel function used for critical value of t: "=ROUND(TINV(1-C,df),3)"
Here C is confidence level. For example for 90% confidence interval C= 0.90.
Following table shows the critical values of t :
Critical value | |||
df | 90% | 95% | 99% |
30 | 1.697 | 2.042 | 2.75 |
The formula for confidence interval is
Following table shows the requried confidence interval:
90% | 95% | 99% | |
Lower limit | 42.32 | 41.92 | 41.09 |
Upper limit | 46.28 | 46.68 | 47.51 |
(b)
Following table shows the critical values of z :
Critical value | ||
90% | 95% | 99% |
1.645 | 1.96 | 2.575 |
The formula for confidence interval is
Following table shows the requried confidence interval:
90% | 95% | 99% | |
Lower limit | 42.38 | 42.01 | 41.29 |
Upper limit | 46.22 | 46.59 | 47.31 |
(d)
Following table shows the critical values of t :
Critical value | |||
df | 90% | 95% | 99% |
80 | 1.664 | 1.99 | 2.639 |
The formula for confidence interval is
Following table shows the requried confidence interval:
90% | 95% | 99% | |
Lower limit | 43.1 | 42.86 | 42.39 |
Upper limit | 45.5 | 45.74 | 46.21 |