Q:

Nature of Data: Quantitative data - consist of numbers representing counts or measurements. a. Discrete data result from either a finite number of possible values or countable number of possible values such as 0, or 1, or 2, and so on.. Data that are counting numbers. b. Continuous data result from infinitely many possible values that can be assosiated with points on a continuous scale in such a way that there are no gaps or interruptions. Data results of measurements. Qualitative data - can be separated into different categories that are distinguished by some nonnumeric characteristics such as gender, major classifications, political party affiliation, religious preference, marital status, and the like. Example 3: Classify the given data. 1. Ages of the students 2. Eye color 3. Number of Grade 7 teachers

Nature of Data: Quantitative data - consist of numbers representing counts or measurements. a. Discrete data result from either a finite number of possible values or countable number of possible values such as 0, or 1, or 2, and so on.. Data that are counting numbers. b. Continuous data result from infinitely many possible values that can be assosiated with points on a continuous scale in such a way that there are no gaps or interruptions. Data results of measurements. Qualitative data - can be separated into different categories that are distinguished by some nonnumeric characteristics such as gender, major classifications, political party affiliation, religious preference, marital status, and the like. Example 3: Classify the given data. 1. Ages of the students 2. Eye color 3. Number of Grade 7 teachers

Accepted Solution

A:
Nature of Data: Quantitative data - consist of numbers representing counts or measurements. a. Discrete data result from either a finite number of possible values or countable number of possible values such as 0, or 1, or 2, and so on.. Data that are counting numbers. b. Continuous data result from infinitely many possible values that can be assosiated with points on a continuous scale in such a way that there are no gaps or interruptions. Data results of measurements. Qualitative data - can be separated into different categories that are distinguished by some nonnumeric characteristics such as gender, major classifications, political party affiliation, religious preference, marital status, and the like. Example 3: Classify the given data. 1. Ages of the students 2. Eye color 3. Number of Grade 7 teachers 6504810ee7750.webp