In: Statistics and Probability
For a recent year, the mean fare to fly from Charlotte, North Carolina to Chicago Illinois, on a discount ticket was $290. A random sample of 12 round trip discount fares on this route last month shows: 286 290 285 291 287 275 262 289 274 276 297 262 At the 0.01 significance level, can we conclude that the mean fare has decreased? What is the p value?
1. State the Null and Alternate hypothesis:
2. State the test statistic:
3. State the Decision Rule:
4. Show the calculation:
5. What is the interpretation of the sample data?
6. Show the P value
PLEASE SHOW ALL STEPS AND WORK
Solution:
x | x2 |
286 | 81796 |
290 | 84100 |
285 | 81225 |
291 | 84681 |
28 | 784 |
275 | 75625 |
262 | 68644 |
289 | 83521 |
274 | 75076 |
276 | 76176 |
297 | 88209 |
262 | 68644 |
∑x=3115 | ∑x2=868481 |
Mean ˉx=∑xn
=286+290+285+291+28+275+262+289+274+276+297+262/12
=3115/12
=259.5833
Sample Standard deviation S=√∑x2-(∑x)2nn-1
=√868481-(3115)212/11
=√868481-808602.0833/11
=√59878.9167/11
=√5443.5379
=73.7803
This is the left tailed test .
The null and alternative hypothesis is ,
H0 : = 290
Ha : < 290
Test statistic = t
= ( - ) / S / n
= (259.58 - 290) / 73.78 / 12
= −1.428
Test statistic = t = −1.428
The critical value = −2.718
P-value =0.0905
= 0.01
P-value >
0.0905 > 0.01
Fail to reject the null hypothesis .
There is not sufficient evidence to claim that the population mean μ is less than 290, at the 0.01 significance level.