Review of Scatter Plots and Frequency Tables

Front

What is a scatter plot?

Back

A scatter plot is a graph that shows the relationship between two quantitative variables by displaying data points on a two-dimensional grid.

Front

What is a frequency table?

Back

A frequency table is a table that displays the number of times each value occurs in a dataset.

Front

How do you calculate relative frequency?

Back

Relative frequency is calculated by dividing the frequency of a specific value by the total number of observations.

Front

What does it mean if two variables are associated in a scatter plot?

Back

If two variables are associated, it means that changes in one variable are related to changes in the other variable.

Front

What is the purpose of using a relative frequency table?

Back

A relative frequency table helps to understand the proportion of each category in relation to the total, making it easier to compare different categories.

Front

How can you interpret a scatter plot?

Back

To interpret a scatter plot, look for patterns, trends, and correlations between the two variables represented.

Front

What is the difference between absolute frequency and relative frequency?

Back

Absolute frequency is the count of occurrences of a value, while relative frequency is the proportion of that count compared to the total.

Front

What does a high relative frequency indicate?

Back

A high relative frequency indicates that a particular outcome or category occurs frequently in the dataset.

Front

How do you find the percentage of a specific group in a survey?

Back

To find the percentage, divide the number of individuals in the group by the total number surveyed, then multiply by 100.

Front

What is the significance of the total number surveyed in a frequency table?

Back

The total number surveyed is important as it provides context for understanding the relative frequencies and percentages.