5. Two species of fish (bream and perch) were sampled and their lengths were recorded. Q-Q plots are shown below. Perform an appropriate hypothesis test to determine if there is a significant difference between the population means. Use a = .05. Make sure to write out your conclusion (about the fish). Bream Perch 40 35 Sample Quantiles 30 25 y 32.92 -1 25.03 Bream Normal Q-Q Plot 00000000000000 0 00 ooo 1 Theoretical Quantiles 2 S 3.94 6.63 n 35 56 30 Sample Quantiles 20 Perch Normal Q-Q Plot 000000000000000⁰⁰0 Theoretical Quantiles 2
5. Two species of fish (bream and perch) were sampled and their lengths were recorded. Q-Q plots are shown below. Perform an appropriate hypothesis test to determine if there is a significant difference between the population means. Use a = .05. Make sure to write out your conclusion (about the fish). Bream Perch 40 35 Sample Quantiles 30 25 y 32.92 -1 25.03 Bream Normal Q-Q Plot 00000000000000 0 00 ooo 1 Theoretical Quantiles 2 S 3.94 6.63 n 35 56 30 Sample Quantiles 20 Perch Normal Q-Q Plot 000000000000000⁰⁰0 Theoretical Quantiles 2
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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question 5
Transcribed Image Text:5. Two species of fish (bream and perch) were sampled and their lengths were recorded. Q-Q plots are shown
below. Perform an appropriate hypothesis test to determine if there is a significant difference between the
population means. Use a = .05. Make sure to write out your conclusion (about the fish).
Bream
xpress
Perch
40
Sample Quantiles
30 35
25
-2
00
y
32.92
-1
25.03
Bream
Normal Q-Q Plot
000 0000 000090 80000
0
000
0000
00
1
Theoretical Quantiles
0
2
S
3.94
6.63
n
35
56
Sample Quantiles
20 30
-2
Perch
0000000000000000000
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Normal Q-Q Plot
1
Theoretical Quantiles
2
e basket v
6. Calculate the last two z-scores needed for the q-q plot for Bream (note that you do NOT need the original
data to do this).
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Step 1: Given Information:
VIEWStep 2: Set up the null and alternative hypotheses:
VIEWStep 3: Check condition for equal population variances:
VIEWStep 4: Compute the pooled variance:
VIEWStep 5: Compute the test statistic:
VIEWStep 6: Compute the p-value of the test statistic:
VIEWStep 7: Make Decision and state the conclusion:
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