Question

what is the purpose of binning? give an example in which binning is useful. choose the correct answer below. a. the purpose of binning is to analyze the frequency of qualitative data grouped into categories that cover a range of possible values. a useful example is grouping babies by eye color with 1 - point bins. the first bin contains blue - eyed babies, the second bin contains brown - eyed babies, and so on. b. the purpose of binning is to analyze the frequency of quantitative data grouped into categories that cover a range of possible values. a useful example is grouping quiz scores with a maximum score of 40 points with 10 - point bins. the first bin contains scores 0 - 9, the second bin contains scores 10 - 19, and so on. c. the purpose of binning is to analyze the frequency of qualitative data grouped into categories that cover a range of possible values. a useful example is grouping quiz scores with a maximum score of 40 points with 10 - point bins. the first bin contains scores 0 - 9, the second bin contains scores 10 - 19, and so on. d. the purpose of binning is to analyze the frequency of quantitative data grouped into categories that cover a range of possible values. a useful example is grouping quiz scores with a maximum score of 40 points with 10 - point bins. the first bin contains scores 0 - 9, the second bin contains scores 10 - 19, and so on.

Explanation:

Binning is used to group data into categories. When dealing with quantitative data like quiz - scores, we can create bins to analyze the frequency of data within each range. For example, if we have quiz scores from 0 - 40, we can create 10 - point bins (0 - 9, 10 - 19, etc.) to see how many scores fall into each bin. This helps in understanding the distribution of the data. Option C correctly describes the purpose of binning for quantitative data (quiz scores in this case). Options A and B are incorrect as binning for qualitative data (like eye - color of babies) is a different concept and not what is described as the main purpose of binning here. Option D is also incorrect as it misrepresents the nature of the data and the binning process.

Answer:

C. The purpose of binning is to analyze the frequency of quantitative data grouped into categories that cover a range of possible values. A useful example is grouping quiz scores with a maximum score of 40 points with 10 - point bins. The first bin contains scores 0 - 9, the second bin contains scores 10 - 19, and so on.