Suppose a test for a disease has a sensitivity of 93% and a specificity of 89%. Further suppose that in a certain country with a population of 60,000, 20% of the population has the disease.Fill in the accompanying table. The image is a table used for analyzing medical test results. It is structured with three main columns and three main rows.**Columns:**1. **Has Disease**: This column represents the individuals who actually have the disease.2. **Does Not Have Disease**: This column represents individuals who do not have the disease.3. **Total**: This column calculates the total number of individuals in each category.**Rows:**1. **Positive Test Result**: This row captures the number of individuals who tested positive for the disease.2. **Negative Test Result**: This row captures the number of individuals who tested negative for the disease.3. **Total**: This row sums up the totals for positive and negative test results in each category.Each cell in the table is a placeholder for data entry, allowing for the calculation of metrics such as sensitivity, specificity, and predictive values once filled. The table, often termed a "confusion matrix" in a medical context, helps in assessing the performance of a diagnostic test.

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Description: Suppose a test for a disease has a sensitivity of 93% and a specificity of 89%. Further suppose that in a certain country with a population of 60,000, 20% of the population has the disease.Fill in the accompanying table. The image is a table used for

Given:- Total population= 60000 20% population has disease disease has sensitivity =93% disease has…

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Suppose a test for a disease has a sensitivity of 93% and a specificity of 89%. Further suppose that in a certain country with a population of 60,000, 20% of the population has the disease. Fill in the accompanying tabl

Suppose a test for a disease has a sensitivity of 93% and a specificity of 89%. Further suppose that in a certain country with a population of 60,000, 20% of the population has the disease. Fill in the accompanying tabl

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Concept explainers

Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.

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The image is a table used for analyzing medical test results. It is structured with three main columns and three main rows.

**Columns:**
1. **Has Disease**: This column represents the individuals who actually have the disease.
2. **Does Not Have Disease**: This column represents individuals who do not have the disease.
3. **Total**: This column calculates the total number of individuals in each category.

**Rows:**
1. **Positive Test Result**: This row captures the number of individuals who tested positive for the disease.
2. **Negative Test Result**: This row captures the number of individuals who tested negative for the disease.
3. **Total**: This row sums up the totals for positive and negative test results in each category.

Each cell in the table is a placeholder for data entry, allowing for the calculation of metrics such as sensitivity, specificity, and predictive values once filled. The table, often termed a "confusion matrix" in a medical context, helps in assessing the performance of a diagnostic test.

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