Well, honey, that's just a good ol' sum total. You add up all the numbers in each category or group to get the grand total. It's as simple as that, no need to overcomplicate things.
The pie chart shows the relationship of parts to the whole. A pie chart is a circular chart in which the circle is divided into groups. Each group visually represents an item in a data set to match the amount of the item as a percentage or fraction of the total data set.
it shows the desperson in data
A frequency diagram!
A scatter diagram.
A frequency diagram or, for grouped data, an histogram.
Nominal data is characterized as data that is used to define a group of category. Some examples include color of eyes, and color of hair.
The pie chart shows the relationship of parts to the whole. A pie chart is a circular chart in which the circle is divided into groups. Each group visually represents an item in a data set to match the amount of the item as a percentage or fraction of the total data set.
it gives total amount of people or whatever category is there
Pie chart. The entire "pie" shows the whole data set, while each "slice" shows each group of data.circle graphs
A pie chart is the type of graph that shows the parts or percentages of a whole. It visually represents data as slices of a circle, where each slice corresponds to a category's proportion relative to the total. This allows for easy comparison of different categories within the whole dataset.
To find the percentage for a stem-and-leaf plot, first determine the total number of data points represented in the plot. Then, count how many data points fall into the category or range of interest. Finally, divide the count of the specific category by the total number of data points and multiply by 100 to convert it into a percentage.
Marginal frequency refers to the total count of occurrences of a particular category or value in a dataset, typically presented in the margins of a frequency table. It shows how many times each category appears without considering the relationship between different categories. For example, in a contingency table, the marginal frequencies for each row and column provide insights into the overall distribution of data. This concept is useful for summarizing data and understanding its overall trends.
A bar graph that shows the frequency of data is a visual representation used to display the number of occurrences of different categories or groups within a dataset. Each bar represents a category, with the height or length of the bar indicating the frequency or count of data points in that category. This type of graph allows for easy comparison between different categories and helps identify trends or patterns within the data. Bar graphs can be oriented vertically or horizontally, depending on the preference of the presenter.
A bar graph uses vertical bars to display data. Each bar represents a category or group, and the height of the bar represents the value or frequency of that category. This type of graph is commonly used to compare and visualize data across different groups or categories.
The answer is no, because the line graph shows us how the numbers are increasing or decreasing, but the Venn diagram shows us what is included in a group, and what is included in another group. It also shows us what is in both groups. They're completely different.
A bar graph shows categorical data represented by rectangular bars. Each bar represents a different category and the height of the bar represents the frequency or amount associated with that category. It is commonly used to compare and display data in categories or groups.
No it does not, all the bill shows is the total amount of data that was accessed.