Select the corresponding variable type(s) used for a given plot/chart/table. (Covered in Lessons 2 and 3) 1. Frequency Table [Select] 2. Bar Chart [Select] 3. Boxplot [Select] 4. Scatterplot [Select] 6. Histogram with groups [Select] 7. Contingency Table (i.e. two-way table) [Select] 8. Stacked (or segmented) bar charts [Select] ] 9. Bubble plot [Select] 10. Dotplot [Select]

Certainly! Below is a list of each plot/chart/table type you provided, along with the corresponding variable type(s) typically used: 1. **Frequency Table** - **Categorical Variables** (Nominal or Ordinal) 2. **Bar Chart** - **Categorical Variables** (Nominal or Ordinal) 3. **Boxplot** - **Numerical Variable** - **Categorical Variable** (for grouping) 4. **Scatterplot** - **Numerical Variables** (Both X and Y axes) 6. **Histogram with Groups** - **Numerical Variable** - **Categorical Variable** (for grouping) 7. **Contingency Table (Two-Way Table)** - **Categorical Variables** (Both Variables) 8. **Stacked (or Segmented) Bar Charts** - **Categorical Variable** (Primary grouping) - **Categorical Variable** (Segments/Subgroups) 9. **Bubble Plot** - **Numerical Variables** (X and Y axes) - **Numerical Variable** (Bubble Size) 10. **Dotplot** - **Numerical Variable** --- ### **Summary Table** | **Plot/Table Type** | **Variable Type(s)** | |-------------------------------------|-----------------------------------------------------| | **Frequency Table** | Categorical (Nominal or Ordinal) | | **Bar Chart** | Categorical (Nominal or Ordinal) | | **Boxplot** | Numerical and Categorical (for grouping) | | **Scatterplot** | Numerical (Both Variables) | | **Histogram with Groups** | Numerical and Categorical (for grouping) | | **Contingency Table (Two-Way Table)** | Categorical (Both Variables) | | **Stacked (or Segmented) Bar Charts** | Categorical (Primary and Segments/Subgroups) | | **Bubble Plot** | Numerical (X and Y axes) and Numerical (Bubble Size) | | **Dotplot** | Numerical | --- ### **Variable Type Definitions** - **Categorical Variables**: - **Nominal**: Categories with no inherent order (e.g., colors, types). - **Ordinal**: Categories with a meaningful order (e.g., rankings, sizes). - **Numerical Variables**: - **Discrete**: Countable values (e.g., number of students). - **Continuous**: Measurable quantities with infinite possibilities within a range (e.g., height, weight). --- ### **Additional Notes** - **Boxplots** are especially useful for showing the distribution of a numerical variable across different categories. - **Scatterplots** are ideal for identifying relationships or correlations between two numerical variables. - **Bubble Plots** extend scatterplots by adding a third numerical dimension through bubble size. - **Contingency Tables** are essential for examining the relationship between two categorical variables. - **Stacked Bar Charts** help visualize the composition of categorical data across different groups. If you have specific questions about any of these plots or need further clarification on variable types, feel free to ask!