Nominal variables have categories without a natural order, while ordinal variables have categories that can be ranked or ordered. | Card: 2 / 30 |
Fill in the blank: The mode is the only measure of central tendency that applies to ___ data. | Card: 3 / 30 |
True or False: A pie chart is more effective than a bar graph for displaying data with many categories. | Card: 5 / 30 |
False. A pie chart is best for 2-6 categories, while bar graphs are better for comparing many categories. | Card: 6 / 30 |
Joint relative frequency, marginal relative frequency, and conditional relative frequency. | Card: 8 / 30 |
Riddle: I show how much of a whole each part represents, but I cannot display too many categories. What am I? | Card: 9 / 30 |
Nominal vs. Ordinal Variables Explained
| Card: 12 / 30 |
Fill in the blank: A frequency table shows the count of observations in each category and includes the ___ frequency, which is the proportion of observations in each category. | Card: 13 / 30 |
True or False: The mode is the measure of central tendency that can be used for both categorical and numerical data. | Card: 15 / 30 |
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False. The mode is the only measure of central tendency that applies to categorical data. | Card: 16 / 30 |
Calculating angles in pie charts.
| Card: 18 / 30 |
Riddle: I am a table that shows how many times each category appears, helping you to see patterns in your data. What am I? | Card: 19 / 30 |
Joint relative frequency shows category proportions.
| Card: 22 / 30 |
Fill in the blank: Categories must be clearly defined and ___ exclusive to ensure consistent data collection. | Card: 23 / 30 |
What is the significance of using relative frequencies when comparing datasets of different sizes? | Card: 25 / 30 |
Relative frequencies enable fair comparisons.
| Card: 26 / 30 |
True or False: A bar graph is best used to show how each category contributes to the whole. | Card: 27 / 30 |
False A bar graph is not ideal for parts.
| Card: 28 / 30 |
Consider pitfalls in categorical data analysis.
| Card: 30 / 30 |






