Discrete data is defined as data having finite values while continuous data is defined as data having continuous values having fractions and decimals.
Step-by-step explanation:
We need to explain the differences in discrete vs. continuous data and how these are graphed differently on a histogram?
Discrete data is defined as data having finite values and there is nothing between the values. For example the number of people in a house.
Continuous data is defined as data having continuous values having fractions and decimals. For example Market price of product can be continuous data
- <u>Graph Discrete Data in histogram</u>
Bar graphs are used to represent discrete data. A bar graph is a histogram, where bars are separated from each other because the values are discrete
- <u>Graph Continuous Data in histogram</u>
Histograms are used to represent continuous data. A histogram have bars connected to each other because the values are continuous.
The graph is shown in figure attached.
Keywords: discrete vs. continuous data
Learn more about discrete vs. continuous data at:
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A. 600 x 50= 30,000
B. 1000 x 60=60000
C. 6000 x 30= 180,000
Hope it's correct :)
The number I pick between 30 and 100 is 72.
Lets say Priscillas's family total drove P miles.
and Clifton's family drove C miles
now Clifton drove half as far as Priscilla drove.
so C=P/2 this is the expression
If Priscilla drove total 135+40= 175miles
And Clifton drove C=175/2=87.5miles
No.
0.75 and 3/4 are equivalent though.