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MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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### CDC Data

A report detailing the characteristics of persons in the United States with COVID-19 who died between February 12, 2020, and May 18, 2020, was posted on the Center for Disease Control website on July 10, 2020.

The report contained data on the hospitalization status and underlying health conditions for patients who had a severe outcome from a respiratory infection of COVID-19.

The following table represents a sample of 2086 patients from this report.

#### Table: Hospitalization Status and Underlying Health Conditions of Patients

| Underlying Health Conditions | Not Hospitalized | Hospitalized Not in ICU | Hospitalized in ICU | Hospitalization Status Unknown | Total  |
|------------------------------|------------------|-------------------------|---------------------|-------------------------------|--------|
| Diabetes Mellitus            | 332              | 249                     | 148                 | 56                            | 785    |
| Chronic Lung Disease         | 358              | 153                     | 95                  | 49                            | 655    |
| Cardiovascular Disease       | 239              | 244                     | 130                 | 33                            | 646    |
| **Total**                    | **929**          | **646**                 | **373**             | **138**                       | **2086**|

Round all answers to four decimal places.

***

#### Questions:

1. What is the probability the patient was **Hospitalized not in ICU**?

   \_\_\_\_

2. What is the probability the patient was **Not hospitalized** **AND** had an underlying health condition of **diabetes mellitus**?

   \_\_\_\_

3. Given that the patient was **Hospitalized in ICU**, what is the chance the patient had an underlying health condition of **cardiovascular disease**?

   \_\_\_\_

4. If the patient had an underlying health condition of **chronic lung disease**, what is the probability the patient was **Hospitalized in ICU**?

   \_\_\_\_

***

The table provided shows the distribution of underlying health conditions among patients who were categorized by their hospitalization status as either: Not hospitalized, Hospitalized not in ICU, Hospitalized in ICU, or Hospitalization status unknown. 

Understanding this data can help health professionals and researchers analyze the correlation between underlying health conditions and the severity of COVID-19 outcomes, along with hospital resource utilization.
Transcribed Image Text:### CDC Data A report detailing the characteristics of persons in the United States with COVID-19 who died between February 12, 2020, and May 18, 2020, was posted on the Center for Disease Control website on July 10, 2020. The report contained data on the hospitalization status and underlying health conditions for patients who had a severe outcome from a respiratory infection of COVID-19. The following table represents a sample of 2086 patients from this report. #### Table: Hospitalization Status and Underlying Health Conditions of Patients | Underlying Health Conditions | Not Hospitalized | Hospitalized Not in ICU | Hospitalized in ICU | Hospitalization Status Unknown | Total | |------------------------------|------------------|-------------------------|---------------------|-------------------------------|--------| | Diabetes Mellitus | 332 | 249 | 148 | 56 | 785 | | Chronic Lung Disease | 358 | 153 | 95 | 49 | 655 | | Cardiovascular Disease | 239 | 244 | 130 | 33 | 646 | | **Total** | **929** | **646** | **373** | **138** | **2086**| Round all answers to four decimal places. *** #### Questions: 1. What is the probability the patient was **Hospitalized not in ICU**? \_\_\_\_ 2. What is the probability the patient was **Not hospitalized** **AND** had an underlying health condition of **diabetes mellitus**? \_\_\_\_ 3. Given that the patient was **Hospitalized in ICU**, what is the chance the patient had an underlying health condition of **cardiovascular disease**? \_\_\_\_ 4. If the patient had an underlying health condition of **chronic lung disease**, what is the probability the patient was **Hospitalized in ICU**? \_\_\_\_ *** The table provided shows the distribution of underlying health conditions among patients who were categorized by their hospitalization status as either: Not hospitalized, Hospitalized not in ICU, Hospitalized in ICU, or Hospitalization status unknown. Understanding this data can help health professionals and researchers analyze the correlation between underlying health conditions and the severity of COVID-19 outcomes, along with hospital resource utilization.
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