Question

determine if there is a difference in the price of tickets listed 90 days before a...

determine if there is a difference in the price of tickets listed 90 days before a flight compared with 14 days before the same flight.

FourteenDays NinetyDays
202.09 234.19
361.69 326.39
114.29 132.59
267.09 270.19
207.09 205.09
185.29 129.49
931.99 947.29
156.99 121.29
493.99 667.69
93.69 95.39
182.29 184.59
303.69
142.69 156.59
251.79 194.49
163.29 129.59
168.29 139.59
509.69 318.09
227.59 1242.09
122.29 113.99
283.29 146.59
597.59 378.09
330.99 306.39
273.59 226.99
121.79 114.59
267.09 270.19
781.09 793.79
123.69 87.49
146.89 104.19
123.49 86.39
233.09 265.19
106.29 107.59
251.79 194.49
227.29 230.09
169.29 96.19
178.79 138.69
263.09
254.29 192.59
189.29 106.59
148.29 106.59
131.29 109.59
196.39 183.09
199.39 123.69
254.29 143.59
224.79 199.69
284.69 184.59
395.39 326.39
179.29 118.59
259.39 263.09
299.19 210.09
168.29 170.59
211.09 164.59
175.29 150.59
259.39 183.09
215.29 129.59
285.79 194.49
229.29 164.59
306.79 230.69
100.59 72.29
186.79 188.69
102.19 148.89
396.19 298.49
123.29 106.59
215.29 136.59
362.79 250.29
1158.69 1176.99
171.29 131.59
453.19 281.09
349.29 286.99
151.29 114.59
140.29 104.59
312.24 721.34
284.69 188.59
309.99 210.89
172.29 175.59
365.49 296.19
285.79 330.49
770.99 782.09
334.49 121.59
255.29 120.59
149.89 124.19
284.39 240.09
261.69 180.59
310.89 194.89
350.69 354.69
251.79 194.49
205.29 283.59
174.29 128.59
338.79 341.89
160.29 114.59

What is the P-value for this test? Round your answer to 3 decimal places.

Based on the results of the test, can you say that there is a difference in the cost of airline tickets purchased 90 days in advance compared with 14 days in advance? Use a level of significance of α=0.05.

Homework Answers

Answer #1

Hypothesis :

where is the population mean difference between the two variables .

Here we are given with the data of price of ticket of same flight on different days . So, we should conduct a paired t test .

We conduct the test using excel . The output from excel gives us the p value of the test .

Here is the snippet of the excel worksheet .

p value =0.132 ( rounded to three decimal places) .

As p value > alpha = 0.05 , the test fails to reject the null hypithesis .  

In other words there is no significant difference in the price of the tickets at these given time periods.

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