identify the level of measurement of the data, and explain what is wrong with the given calculation. in a…

identify the level of measurement of the data, and explain what is wrong with the given calculation. in a survey, the eye colors of respondents are identified as 10 for brown eyes, 20 for blue eyes, 30 for green eyes, and 40 for anything else. the average (mean) is calculated for 700 respondents and the result is 22.3. the data are at the nominal level of measurement. what is wrong with the given calculation? a. such data are not counts or measures of anything, so the average (mean) needs to be computed in a different way. b. the true average (mean) is 19.5. c. such data are not counts or measures of anything, so it makes no sense to compute their average (mean). d. there is nothing wrong with the given calculation.

identify the level of measurement of the data, and explain what is wrong with the given calculation. in a survey, the eye colors of respondents are identified as 10 for brown eyes, 20 for blue eyes, 30 for green eyes, and 40 for anything else. the average (mean) is calculated for 700 respondents and the result is 22.3. the data are at the nominal level of measurement. what is wrong with the given calculation? a. such data are not counts or measures of anything, so the average (mean) needs to be computed in a different way. b. the true average (mean) is 19.5. c. such data are not counts or measures of anything, so it makes no sense to compute their average (mean). d. there is nothing wrong with the given calculation.

Answer

Brief Explanations:

Nominal - level data are used for categorization only. The numbers assigned to eye - color categories (10, 20, 30, 40) are just labels and have no numerical meaning in terms of quantity or magnitude. Calculating a mean for such non - numerical (in the quantitative sense) data is inappropriate.

Answer:

C. Such data are not counts or measures of anything, so it makes no sense to compute their average (mean).