Author Question: Rafael wants to compare male and female responses to a survey about perceived effectiveness of new ... (Read 120 times)

xroflmao · **on:** Jun 23, 2018

Rafael wants to compare male and female responses to a survey about perceived effectiveness of new campus safety efforts. To do so, he should cross-tabulate the data.
Indicate whether the statement is true or false

Question 2

Graphics can be added to business reports to clarify data, create visual interest, and make numerical data meaningful. List five categories of graphics and explain the type of data each is used to illustrate. Then give an original example of when each could be used.

rnehls · **Reply #1 on:** Jun 23, 2018

Answer to Question 1

True

Answer to Question 2

Table: used to present quantitative or verbal information in systematic columns and rows

Example: To show a supermarket's sales by department for several years

Bar chart: used to compare related items, illustrate changes in data over time, and show segments as a part of the whole

Example: To show a supermarket's sales by department, side by side, for several years

Line chart: used to demonstrate changes in quantitative data over time, thus indicating trends

Example: To show enrollment at a state university over the past five years

Pie chart: used to visualize a whole unit and the proportions of its components

Example: To show the percentage of each expense as part of a company's total expenses

Flowchart: used to display a process or procedure

Example: To show the procedure employees must follow to file a workers' compensation claim

Organization chart: used to show the chain of command, from the boss down to the line managers and employees

Example: To show where all positions fall within the chain of command

Photograph, map, illustration: used to authenticate an incident, to spotlight a location, and to show an item in use

Example: To show the locations of five new branches that will be built over the next year

Infographic: used to tell a story and allow the reader to make sense of large amounts of data

Example: To create a visual rsum