In: Statistics and Probability
Suppose a student measuring the boiling temperature of a certain liquid observes the readings (in degrees Celsius) 102.5, 101.7, 103.1, 100.9, 100.5, and 102.2 on 6 samples of the liquid and the measurements follow a normal distribution. (a) What is a point estimate for the mean boiling temperature of this liquid? (b) State the two reasons that we are able to perform a confidence interval test for the mean boiling temperature of the liquid. (c) What is the confidence interval for the mean boiling temperature of this liquid at a 98% confidence level?
Solution:
| x | x2 | 
| 102.5 | 10506.25 | 
| 101.7 | 10342.89 | 
| 103.1 | 10629.61 | 
| 100.9 | 10180.81 | 
| 100.5 | 10100.25 | 
| 102.2 | 10444.84 | 
| ∑x=610.9 | ∑x2=62204.65 | 
Mean ˉx=∑xn
=102.5+101.7+103.1+100.9+100.5+102.2/6
=610.9/6
=101.8167
Sample Standard deviation S=√∑x2-(∑x)2nn-1
=√62204.65-(610.9)265
=√62204.65-62199.80175
=√4.84835
=√0.9697
=0.9847
Degrees of freedom = df = n - 1 = 6 - 1 = 5
At 98% confidence level the t is ,
= 1 - 98% = 1 - 0.98 = 0.02
/ 2 = 0.02 / 2 = 0.01
t
/2,df = t0.01,5 =2.797
Margin of error = E = t
/2,df
* (s /n)
= 2.797 * (0.98 / 
6)
= 1.34
Margin of error =1.34
The 98% confidence interval estimate of the population mean is,
- E < 
 < 
 + E
101.8 - 1.34< 
 < 101.8 +1.34
100.45 < 
 < 1.03.14