I did a bar graph I think it is easier than dot and ven diagram. Am I correct because ven diagram there are no similarities and dot is to long.the problem asks as follows.
Display the data using a dot plot,bar graph or vennot diagram.decide which data displays best for appliances sold at housemates during month of September. Washers 35,dryers21,ovens 19,refrigerator 27,dishwasher 23.
I agree
To decide which data display is best for the given scenario, you first need to understand the characteristics and purposes of each type: dot plot, bar graph, and Venn diagram.
1. Dot Plot:
A dot plot uses a number line and dots to represent the frequency or count of each data point. It is useful when you have discrete or categorical data and want to show the distribution or frequency of each category. In a dot plot, each dot represents one data point.
2. Bar Graph:
A bar graph uses rectangular bars to represent the data. It is commonly used to compare and display data in different categories or groups. The height or length of each bar corresponds to the frequency or value of the data it represents.
3. Venn Diagram:
A Venn diagram uses overlapping circles or shapes to illustrate the relationships and similarities between different sets of data. It is useful when you want to compare and show the common and distinct elements among different categories.
Now, let's analyze the given data: washers (35), dryers (21), ovens (19), refrigerator (27), dishwasher (23).
Since the data represents the appliances sold at Housemates during the month of September and each appliance is a separate category without overlapping or shared elements, a Venn diagram would not be appropriate in this case.
Now, consider whether a dot plot or a bar graph would be more suitable. Both dot plots and bar graphs can represent discrete or categorical data effectively.
With a dot plot, you would mark a dot for each occurrence of an appliance, potentially resulting in a long plot due to the number of appliances sold for each category. Given that you mentioned dot plots are too long, it may not be the best choice in this case.
On the other hand, a bar graph allows you to represent the data using rectangular bars, where each bar's height corresponds to the frequency or count of the appliances sold. This option would give a clear visual comparison between the different appliance categories without becoming overly long.
Therefore, considering the simplicity and clarity of a bar graph in showing the frequency of appliances sold at Housemates during September, a bar graph would be the recommended data display in this scenario.