Question

question 5 (1 point) imagine that you run an experiment to determine whether grades will increase based upon instruction method (\professor\ vs
o - professor\). you find that grades were normally distributed with a mean of 60 and a standard deviation of 10. which option best describes the level of measurement for the dependent variable? options: nominal, ratio, histogram, categorical

Explanation:

1. Analyze each option:

• Nominal: Nominal data is categorical with no order (e.g., colors, names). Grades here have a numerical value with order (can be ranked, have a mean and standard deviation), so not nominal.
• Histogram: A histogram is a graph, not a level of measurement. So this is incorrect.
• Categorical: Categorical data is non - numerical or grouped into categories without a meaningful order in terms of magnitude (unlike ordinal or ratio). But grades here have a numerical scale with a mean and standard deviation, so not just categorical.
• Ratio: Ratio data has a true zero, equal intervals, and can be measured in terms of magnitude. Grades (assuming a scale like 0 - 100) have a true zero (0 grade means no score), equal intervals (the difference between 50 and 60 is the same as 60 and 70), and we can calculate mean and standard deviation. So the level of measurement for grades (the dependent variable) is ratio.

Answer:

Ratio