Data Presentation Methods Quiz

A table that shows the number of times each value or category appears in a dataset.

Data that can be categorized, such as gender, marital status, or favorite color.

A type of data that focuses on a single variable.

The process of organizing data into categories and counting how many values fall into each category.

A table that summarizes data by listing categories and their corresponding frequencies.

A set of data that includes information about two different variables.

Tabular and graphical methods are used to summarize and describe data. The choice of method depends on the type of data and the number of variables being examined.

A bar chart with multiple bars representing different categories within a single variable. Each bar can be subdivided to show the contribution of various components within that category.

A bar chart where each bar is divided into segments, representing different components of a whole. The length of each segment is proportional to its contribution to the total.

A type of bar chart that uses the percentage of the whole to represent each component. Each bar represents 100%, and segments are used to show the percentage of each part.

A bar chart where bars are arranged in descending order of frequency. It helps identify the most significant contributors to the overall phenomenon.

Data that can be categorized or grouped into specific classifications.

A visual representation of data using bars with heights proportional to the value they represent. It's used to compare different categories or variables.

A chart that shows the relationship between two variables. It helps to see the pattern or correlation between the variables.

A line graph that connects points representing data over time.

A chart that uses segments of a circle to represent proportions of a whole. Each segment represents a different category.

The proportion of observations that fall into each category of qualitative data, usually expressed as a percentage.

Data that can be categorized, such as marital status, gender, or favorite color.

The angle of a sector in a pie chart, calculated by multiplying the relative frequency of the category by 360 degrees.

Data that can be measured numerically, like age, height, or income.

The number of categories or groups used to organize data. Choosing the right number of classes is important to effectively represent the data.

The width of each category or range of values. Each class should have the same width, ensuring consistency in the analysis.

The boundaries that define the start and end of each category. They help to avoid overlap and ensure that each observation belongs to only one class.

The difference between the upper and lower limit of a class. It indicates the range of values covered by that category.

The number of observations that fall into a particular category. It tells us how frequent each class occurs in the data.

The total number of occurrences of a specific value or category in a dataset.

A table that displays the total number of observations that are less than or equal to a particular value in a dataset.

The relative frequency represented as a percentage.

The data is grouped into intervals, and the chart displays the frequency or relative frequency of each interval.

Data that can be measured and represented by a number, but it has a limited number of possible values.

A type of data that has an unlimited number of possible values and can be measured.

A process of organizing data into groups based on specific ranges or intervals.