In: Statistics and Probability
All Fresh Seafood is a wholesale fish company based on the east coast of the U.S. Catalina Offshore Products is a wholesale fish company based on the west coast of the U.S. Table #9.2.5 contains prices from both companies for specific fish types ("Seafood online," 2013) ("Buy sushi grade," 2013). Data is in following table:
Fish |
All Fresh Seafood Prices |
Catalina Offshore Products Prices |
Cod |
19.99 |
17.99 |
Tilapi |
6.00 |
13.99 |
Farmed Salmon |
19.99 |
22.99 |
Organic Salmon |
24.99 |
24.99 |
Grouper Fillet |
29.99 |
19.99 |
Tuna |
28.99 |
31.99 |
Swordfish |
23.99 |
23.99 |
Sea Bass |
32.99 |
23.99 |
Striped Bass |
29.99 |
14.99 |
Do the data provide enough evidence to show that a west coast fish wholesaler is more expensive than an east coast wholesaler? Test at the 5% level.
(i) Let ?1= mean wholesale prices from west coast fishery. Let ?2 = mean wholesale prices from east coast fishery . Which of the following statements correctly defines the null hypothesis HO?
A. ?1 ? ?2 > 0 (?d> 0)
B. ?1 – ?2= 0 (?d= 0)
C. ?1 – ?2 < 0 (?d< 0)
D. ?1 + ?2= 0
Enter letter corresponding to correct answer
(ii) Let ?1= mean wholesale prices from west coast fishery. Let ?2 = mean wholesale prices from east coast fishery . Which of the following statements correctly defines the alternate hypothesis HA?
A. ?1 ? ?2 > 0 (?d> 0)
B. ?1 – ?2= 0 (?d= 0)
C. ?1 – ?2 < 0 (?d< 0)
D. ?1 + ?2= 0
Enter letter corresponding to correct answer
(iii) Enter the level of significance ? used for this test:
Enter in decimal form. Examples of correctly entered answers: 0.01 0.02 0.05 0.10
(iv) Determine sample mean of differences x??div Determine sample mean of differences x¯d
Enter in decimal form to nearest ten-thousandth. Examples of correctly entered answers:
0.0001
0.0020
0.3000
11.2485
(v) Determine sample standard deviation of differences sd
Enter in decimal form to nearest ten-thousandth. Examples of correctly entered answers:
0.0001 0.0020 0.0500 0.3000 0.5115
(vi) Calculate and enter test statistic
Enter value in decimal form rounded to nearest ten-thousandth, with appropriate sign (no spaces). Examples of correctly entered answers:
–2.0104 –0.3070 +1.6000 +11.0019
(vii) Determine degrees of freedom for the sample of differences dfd:
Enter value in integer form. Examples of correctly entered answers:
2 5 9 23 77
(viii) Using tables, calculator, or spreadsheet: Determine and enter p-value corresponding to test statistic.
Enter value in decimal form rounded to nearest ten-thousandth. Examples of correctly entered answers:
0.0001 0.0021 0.0305 0.6004 0.8143 1.0000
(ix) Comparing p-value and ? value, which is the correct decision to make for this hypothesis test?
A. Reject Ho
B. Fail to reject Ho
C. Accept Ho
D. Accept HA
Enter letter corresponding to correct answer.
(x) Select the statement that most correctly interprets the result of this test:
A. The result is not statistically significant at .05 level of significance. Sufficient evidence exists to support the claim that west coast fish wholesalers are more expensive than east coast wholesalers.
B. The result is not statistically significant at .05 level of significance. There is not enough evidence to support the claim that west coast fish wholesalers are more expensive than east coast wholesalers.
C. The result is statistically significant at .05 level of significance. There is not enough evidence to support the claim that west coast fish wholesalers are more expensive than east coast wholesalers.
D. The result is statistically significant at .05 level of significance. Sufficient evidence exists to support the claim that west coast fish wholesalers are more expensive than east coast wholesalers.
Show Work
The null hypothesis, H0 is the commonly accepted fact; it is the opposite of the alternate hypothesis.
The alternative hypothesis is usually taken to be that the observations are the result of a real effect. It is what we want to check to be the truth from the data.
Now we need to check the data for the fact that the mean prices
of the west coast fishery ?1 is greater than the mean prices of the
east coast fishery ?2 so this becomes our alternate
hypothesis.
?1 > ?2 or
?1 - ?2 > 0 (?d > 0)
So the Null hypothesis being opposite of the alternative
hypothesis becomes
?1 - ?2 < 0 (?d < 0)
i)
H0 becomes
?1 - ?2 < 0 (?d < 0)
ii)
HA becomes
?1 - ?2 > 0 (?d > 0)
iii)
It is given that we have to test at 5% level.
So, the level of significance = 5% = 5/100
= 0.05 (in decimal form)
iv) To calculate the sample mean of differences we subtract
prices of east coast from the prices of west coast for individual
fish. (while preserving the sign)
For example, for cod fish we subtract prices of east coast from the
prices of west coast to get 17.99-19.99 = -2.00
Similarly we find the difference of all fish types given in the
below table.
Now we find the sample mean of the calculated data.
For that, we take a sum of all the difference and divide by the
number of fishes( = 9)
So, the sample mean of differences = -22.01/9 = -2.4455556