For a recent year the mean fare to fly from Charlotte, NC, to Seattle, WA, on a
ID: 3259013 • Letter: F
Question
For a recent year the mean fare to fly from Charlotte, NC, to Seattle, WA, on a was $267. A random sample of round-trip discount fares on this route last month gives:
$321 $286 $290 $330 $310 $250 $270
$280 $299 $265 $291 $275 $281
At the .05 significance level, can we conclude that the mean fare has increased?
State the null and alternate hypotheses
Select
Select the test statistic
Formulate the decision rule:
What is the value of the test statistic?
Make your decision.
Interpret your decision in terms of the situation.
Determine and interpret the p-value.
Explanation / Answer
First inter the given data set in minitab
Using minitab commands:
The command is Stat>>>Basic Statistics >>1 sample t...
Click on "Samples in columns"
select the column name in which your data is present.
then click on Perform hypothesis test enter hypothesis mean (267 )
then click on Option select level of confidence = 1 - alpha = (1 - 0.05)*100 = 95.0
Alternative " greater than"
Click on Ok
again click on OK
Then we get the following output
One-Sample T: Fares
Test of mu = 267 vs > 267
95% Lower
Variable N Mean StDev SE Mean Bound T P
Fares 13 288.31 22.46 6.23 277.21 3.42 0.003
From the above output the test statistic is 3.42
Decision rule: 1) If p-value < level of significance (alpha) then we reject null hypothesis
2) If p-value > level of significance (alpha) then we fail to reject null hypothesis.
Here p value = 0.003<0.05 so we used first rule.
That is we reject null hypothesis .
Conclusion: At 5% level of significance there are sufficient evidence to say that the mean fare has increased.
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