Histograms are useful when we have data which can be divided into several classes or groups. The histogram shows the trend of each class and the trend among the different classes. For example when we have about 50 different values ranging from 1 to 20, it will be a better approach to draw a histogram in this case by dividing the data into small ranges e.g 1 to 4, 5 to 9 and so on and counting the frequency for each class.
Dot plot is useful when we have a small number of individual values. In this case we can visualize how many times each individual value occurred in the data. This is useful when the number of values in the data is less.
In the given scenario, we have 12 values in total ranging from 1 to 5. So making a dot plot would be the best choice. A histogram would not be useful in this case.
Therefore, the correct answer is option D. Dot plot, because a small number of scores are reported individually
5/20 students in Alessandro's class live in Oakdale, which can be simplified to 1/4. 1/4 in decimal form is 0.25. Now to convert it to a percentage, you just multiply that by 100. So 25% of students in Alessandro's class live in Oakdale.
24 single felled organisms there are to 30 minute periods in each hour which produces 2 organisms that is 12 periods and 12 multiplied by 2 is 24
Answer:
min is 3 max is 16 q1 is 7
median is 12
q3 is 13
Step-by-step explanation:
Answer:
1. Y
2. N
3. N
4. N
Step-by-step explanation:
Let's use the second equation, since it seems to be easier to use.
To check if an ordered pair is a solution, plug it in to the equation.
1. 
--> Y
2. 
--> N
3. 
--> N
4. 
--> N
Edit : The 4th equation doesn't work for the first equation, whereas the first one still does.
