1.Number of people in attendance at a baseball game
qualitative/ordinal
qualitative/nominal
quantitative/discrete
quantitative/continuous
2. number of tracks on a CD
qualitative/ordinal
qualitative/nominal
quantitative/discrete
quantitative/continuous
3.eye color
qualitative/ordinal
qualitative/nominal
quantitative/discrete
quantitative/continuous
4. letter graden in algebra
qualitative/ordinal
qualitative/nominal
quantitative/discrete
quantitative/continuous
5. outdoor temperature
qualitative/ordinal
qualitative/nominal
quantitative/discrete
quantitative/continuous
qualitative/nominal
1. Number of people in attendance at a baseball game: quantitative/discrete
2. Number of tracks on a CD: quantitative/discrete
3. Eye color: qualitative/nominal
4. Letter grades in algebra: qualitative/ordinal
5. Outdoor temperature: quantitative/continuous
1. The number of people in attendance at a baseball game would fall under the category of quantitative/discrete data. To determine the number of people in attendance, you would count the individuals present at the game. The data is quantitative because it is numerical in nature, and it is discrete because the count of people is limited to whole numbers and cannot take on intermediate values.
2. The number of tracks on a CD would also be considered quantitative/discrete data. To find this information, you would count the tracks listed on the CD cover or in the album details. Similar to the previous example, the data is quantitative because it consists of numerical values (the individual track numbers), and it is discrete because the count is limited to whole numbers.
3. Eye color is an example of qualitative/nominal data. It falls under the qualitative category because it describes characteristics rather than numerical quantities. Nominal data refers to categories or labels without any inherent order or ranking. In the case of eye color, the possible categories could be brown, blue, green, or hazel. You would determine someone's eye color by visual observation or by asking them to identify their eye color.
4. Letter grades in algebra would be considered qualitative/ordinal data. This type of data is qualitative because it represents categories or labels (in this case, letter grades). Ordinal data refers to categories with a natural order or ranking. In the context of algebra, the possible categories for letter grades might be A, B, C, D, and F. These grades have a specific order from highest to lowest, indicating varying levels of performance.
5. Outdoor temperature is an example of quantitative/continuous data. To determine the outdoor temperature, you would typically use a thermometer or consult a weather report. Quantitative data refers to numerical values, and in the case of temperature, it consists of measurements in degrees (such as Celsius or Fahrenheit). The data is continuous because temperature can take on any value within a certain range and is not limited to specific discrete values.
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