Tumor removal completeness during surgery depends on the surgeon's ability to differentiate tumor from normal tissue using subjective criteria that are not easily quantifiable. One study describes the use of activatable cell-penetrating peptides (ACPPS) that fluorescently labels tumor cells to aid in the precision of tumor identification. The table below shows the fluorescence after two hours for tumor and normal tissue for two separate groups of 12 mice. You want to test if the fluorescence after two hours is different between the tumor and normal tissue between the two, independent groups. Fluorescence After 2 Hours Observation 1 2 3 4 5 6 Tumor Normal Tissue 3037 7 3948 3967 3164 3292 2696 3975 5284 2775 4083 2805 1228 2124 2272 2118 1786 3847 2912 3460 3029 3134 4097 8 9 10 11 12 4279 3935 1) Create a boxplot to graphically show what you are testing and describe the data. 2) What assumptions do you have to make about the data to use a two-sample independent t- test? Discuss the assumptions in general and in the context of this question, and then validate the assumptions. Show the qq-plot of the samples along with any discussion. 3) Run the hypothesis test. Specify the steps of the hypothesis test and show the work for the test (by hand or annotated code). Also run the appropriate test in Python. What do you conclude? 4) Construct a 95% confidence interval for the difference between the means for tumor and normal tissue fluorescence. Discuss this finding and how this adds to your understanding of the analysis.

Nutrition Now
8th Edition
ISBN:9781337415408
Author:Brown
Publisher:Brown
Chapter22: Diet And Cancer
Section: Chapter Questions
Problem 10RQ
Question
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Tumor removal completeness during surgery depends on the surgeon's ability to differentiate tumor
from normal tissue using subjective criteria that are not easily quantifiable. One study describes the use
of activatable cell-penetrating peptides (ACPPS) that fluorescently labels tumor cells to aid in the
precision of tumor identification. The table below shows the fluorescence after two hours for tumor
and normal tissue for two separate groups of 12 mice. You want to test if the fluorescence after two
hours is different between the tumor and normal tissue between the two, independent groups.
Fluorescence After 2 Hours
Observation 1
2
3
4
5
6
Tumor
Normal
Tissue
3037
7
3948 3967 3164 3292 2696 3975 5284 2775 4083
2805 1228 2124 2272 2118 1786 3847 2912 3460 3029 3134 4097
8
9
10
11
12
4279 3935
1) Create a boxplot to graphically show what you are testing and describe the data.
2) What assumptions do you have to make about the data to use a two-sample independent t-
test? Discuss the assumptions in general and in the context of this question, and then validate
the assumptions. Show the qq-plot of the samples along with any discussion.
3) Run the hypothesis test. Specify the steps of the hypothesis test and show the work for the test
(by hand or annotated code). Also run the appropriate test in Python. What do you conclude?
4) Construct a 95% confidence interval for the difference between the means for tumor and
normal tissue fluorescence. Discuss this finding and how this adds to your understanding of the
analysis.
Transcribed Image Text:Tumor removal completeness during surgery depends on the surgeon's ability to differentiate tumor from normal tissue using subjective criteria that are not easily quantifiable. One study describes the use of activatable cell-penetrating peptides (ACPPS) that fluorescently labels tumor cells to aid in the precision of tumor identification. The table below shows the fluorescence after two hours for tumor and normal tissue for two separate groups of 12 mice. You want to test if the fluorescence after two hours is different between the tumor and normal tissue between the two, independent groups. Fluorescence After 2 Hours Observation 1 2 3 4 5 6 Tumor Normal Tissue 3037 7 3948 3967 3164 3292 2696 3975 5284 2775 4083 2805 1228 2124 2272 2118 1786 3847 2912 3460 3029 3134 4097 8 9 10 11 12 4279 3935 1) Create a boxplot to graphically show what you are testing and describe the data. 2) What assumptions do you have to make about the data to use a two-sample independent t- test? Discuss the assumptions in general and in the context of this question, and then validate the assumptions. Show the qq-plot of the samples along with any discussion. 3) Run the hypothesis test. Specify the steps of the hypothesis test and show the work for the test (by hand or annotated code). Also run the appropriate test in Python. What do you conclude? 4) Construct a 95% confidence interval for the difference between the means for tumor and normal tissue fluorescence. Discuss this finding and how this adds to your understanding of the analysis.
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