Questions: The following is the breakdown of male patients with high blood pressure, high cholesterol, and diabetes at a medical center by age. Each condition is independent and no patient on the table has multiple conditions. - 25-29, 30-39, 40-49, 50-59, 60+ - High Blood Pressure: 0.01, 0.04, 0.05, 0.08, 0.22 - High Cholesterol: 0.02, 0.05, 0.08, 0.09, 0.10 - Diabetes: 0.01, 0.05, 0.05, 0.08, 0.07 What is the probability a patient does not have diabetes?

The following is the breakdown of male patients with high blood pressure, high cholesterol, and diabetes at a medical center by age. Each condition is independent and no patient on the table has multiple conditions.

- 25-29, 30-39, 40-49, 50-59, 60+
- High Blood Pressure: 0.01, 0.04, 0.05, 0.08, 0.22
- High Cholesterol: 0.02, 0.05, 0.08, 0.09, 0.10
- Diabetes: 0.01, 0.05, 0.05, 0.08, 0.07

What is the probability a patient does not have diabetes?
Transcript text: The following is the breakdown of male patients with high blood pressure, high cholesterol, and diabetes at a medical center by age. Each condition is independent and no patient on the table has multiple conditions. \begin{tabular}{lccccc} & $25-29$ & $30-39$ & $40-49$ & $50-59$ & $60+$ \\ \begin{tabular}{llllll} High Blood \\ Pressure \end{tabular} & 0.01 & 0.04 & 0.05 & 0.08 & 0.22 \\ \begin{tabular}{l} High \\ Cholesterol \end{tabular} & 0.02 & 0.05 & 0.08 & 0.09 & 0.10 \\ Diabetes & 0.01 & 0.05 & 0.05 & 0.08 & 0.07 \end{tabular} What is the probability a patient does not have diabetes?
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Solution

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Solution Steps

To find the probability that a patient does not have diabetes, we need to calculate the complement of the probability that a patient has diabetes. This can be done by summing the probabilities of having diabetes across all age groups and then subtracting this sum from 1.

Step 1: Identify the Probabilities of Having Diabetes

The probabilities of having diabetes in each age group are given as: \[ \begin{align_} P(D_{25-29}) &= 0.01 \\ P(D_{30-39}) &= 0.05 \\ P(D_{40-49}) &= 0.05 \\ P(D_{50-59}) &= 0.08 \\ P(D_{60+}) &= 0.07 \\ \end{align_} \]

Step 2: Calculate the Total Probability of Having Diabetes

Sum the probabilities of having diabetes across all age groups: \[ P(D) = P(D_{25-29}) + P(D_{30-39}) + P(D_{40-49}) + P(D_{50-59}) + P(D_{60+}) \] \[ P(D) = 0.01 + 0.05 + 0.05 + 0.08 + 0.07 = 0.26 \]

Step 3: Calculate the Probability of Not Having Diabetes

The probability of not having diabetes is the complement of the probability of having diabetes: \[ P(\neg D) = 1 - P(D) \] \[ P(\neg D) = 1 - 0.26 = 0.74 \]

Final Answer

\[ \boxed{0.74} \]

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