Unit 4 - Dot Plot

Front

What is a dot plot?

Back

A dot plot is a statistical chart that consists of dots plotted on a number line, where each dot represents a data point. It is used to visualize the distribution of data.

Front

How do you find the median of a data set?

Back

To find the median, arrange the data points in ascending order and identify the middle value. If there is an even number of data points, the median is the average of the two middle values.

Front

What is the mode of a data set?

Back

The mode is the value that appears most frequently in a data set. A data set may have one mode, more than one mode, or no mode at all.

Front

How do you determine the range of a data set?

Back

The range is calculated by subtracting the lowest value from the highest value in the data set.

Front

What does it mean if a data set is skewed?

Back

A skewed data set is one where the values are not symmetrically distributed. If the tail on the right side is longer, it is positively skewed; if the tail on the left side is longer, it is negatively skewed.

Front

What is a frequency distribution?

Back

A frequency distribution is a summary of how often each value occurs in a data set, often represented in a table or graph.

Front

How can you identify outliers in a data set?

Back

Outliers can be identified using methods such as the interquartile range (IQR) or by visual inspection of a dot plot or box plot.

Front

What is the purpose of a box plot?

Back

A box plot visually summarizes the distribution of a data set by displaying its median, quartiles, and potential outliers.

Front

What is the difference between qualitative and quantitative data?

Back

Qualitative data describes characteristics or qualities (e.g., colors, names), while quantitative data represents numerical values that can be measured (e.g., height, weight).

Front

How do you interpret a dot plot?

Back

To interpret a dot plot, observe the number of dots at each value to understand the frequency of data points and identify trends or patterns.