The data collected about each person's blood type is categorical data.

Here's why:

1. Categorical data: This type of data is characterized by information that can be divided into groups or categories. Blood types (A, B, AB, O) are a perfect example of this as they fall into distinct categories and cannot be measured numerically.

2. Discrete numerical data: This type of data is numerical information that can be counted in a finite amount of time. Examples include the number of patients in a hospital or the number of doctors in a clinic. Blood type does not fall into this category because it is not numerical.

3. Continuous numerical data: This type of data is numerical information that can take on any value within a certain range. Examples include height, weight, and temperature. Again, blood type does not fall into this category because it is not numerical.

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The data collected about each person's blood type is categorical data.

Here's why:

1. Categorical data: This type of data is characterized by information that can be divided into groups or categories. Blood types (A, B, AB, O) are a perfect example of this as they fall into distinct categories and cannot be measured numerically.

2. Discrete numerical data: This type of data is numerical information that can be counted in a finite amount of time. Examples include the number of patients in a hospital or the number of doctors in a clinic. Blood type does not fall into this category because it is not numerical.

3. Continuous numerical data: This type of data is numerical information that can take on any value within a certain range. Examples include height, weight, and temperature. Again, blood type does not fall into this category because it is not numerical.

Knowee AI · Accepted Answer

The data collected about each person's blood type is categorical data.

Here's why:

1. Categorical data: This type of data is characterized by information that can be divided into groups or categories. Blood types (A, B, AB, O) are a perfect example of this as they fall into distinct categories and cannot be measured numerically.

2. Discrete numerical data: This type of data is numerical information that can be counted in a finite amount of time. Examples include the number of patients in a hospital or the number of doctors in a clinic. Blood type does not fall into this category because it is not numerical.

3. Continuous numerical data: This type of data is numerical information that can take on any value within a certain range. Examples include height, weight, and temperature. Again, blood type does not fall into this category because it is not numerical.

Question 12A hospital collected information about each person’s blood type.This data is:categorical datadiscrete numerical datacontinuous numerical data

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