OUR COMPANY
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LAB 6 WRITE-UP
Bayesian Statistics
Overview of the Original Diagnosis System
What Bayes Statistics Imply about This Diagnostic Approach
CALCULATION 1:
Variable |
Description |
Numerical Value
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A |
Positive final test conclusion |
0.4375
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B |
Positive PCR reaction |
0.4167
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P(B/A) |
Probability of B given A |
0.9
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P(A/B) |
Probability of A given B |
0.9449
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CALCULATION 2:
Variable |
Description |
Numerical Value
|
A |
Negative final test conclusion |
0.5625
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B |
Negative PCR reaction |
0.54167
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P(B/A) |
Probability of B given A |
0.923
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P(A/B) |
Probability of A given B |
0.958
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CALCULATION 3:
Variable |
Description |
Numerical Value
|
A |
Patient Develops Disease |
0.3529
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B |
Positive Final Test |
0.4411
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P(B/A) |
Probability of B given A |
0.8
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P(A/B) |
Probability of A given B |
0.651
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CALCULATION 4:
Variable |
Description |
Numerical Value
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A |
Patient NOT Develops Disease |
0.647
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B |
Negative Final Test |
0.529
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P(B/A) |
Probability of B given A |
0.27
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P(A/B) |
Probability of A given B |
0.3302
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Final Results:
Which calculation describes the sensitivity of the system regarding the ability to detect the disease SNP? |
Calculation 3
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Which calculation describes the sensitivity of the system regarding the ability to predict the disease? |
Calculation 1
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Which calculation describes the specificity of the system regarding the ability to detect the disease SNP? |
Calculation 4
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Which calculation describes the specificity of the system regarding the ability to predict the disease? |
Calculation 2
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Computer-Aided Design
TinkerCAD
Our Design
Feature 1: Consumables Kit
Feature 2: Hardware - PCR Machine & Fluorimeter
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