Answer:
i dont know
Step-by-step explanation:
i just want the points
Answer:
$1.21
Explanation:
What we know:
- $5.88=3 pounds of apples
- price went up by $0.75 per pound
First, we divide $5.88 by 3 to find out how much one pound of apples cost.
5.88/3
=1.96
Therefore, the new price of apples per pound is $1.96.
Because the old price of apples per pound was $0.75 cheaper, we subtract 0.75 from 1.96.
1.96-0.75
=1.21
Therefore, the old price of apples per pound was $1.21.
I hope this helps! Please comment if you have any questions.
To make a box and whisker plot, first you write down all of the numbers from least to greatest.
0, 1, 3, 4, 7, 8, 10
The median is 4, so that’s the middle line of the plot.
So now we have:
0, 1, 3, [4,] 7, 8, 10
So next we have to find the 1st and 3rd interquartiles..
0, [1,] 3, [4,] 7, [8,] 10
Those are the next 2 points you put on the plot.
Lastly, the upper and lower extremes. These are the highest and lowest numbers in the data.
[0,] 1, 3, 4, 7, 8, [10]
These are the final points on the plot.
To make the box of a box-and-whisker plot, you plot the 3 Medians of the data: 1, 4, and 8, and connect those to make a box that has a line in the middle at 4.
Next, you plot the upper and lower extremes: 0 and 10, by making “whiskers” that connect to the box. So you draw a line from the extremes to the box.
Answer:
<h2><em><u>9</u></em></h2>
Step-by-step explanation :
= <em><u>9(Ans)</u></em>
The values of data that might affect the statistical measures of spread and center is that: D. The males have a suspected significant high outlier.
<h3>What is a box and whisker plot?</h3>
A boxplot is also referred to as box and whisker plot and it can be defined as a type of chart that can be used to graphically represent the five-number summary of a data set with respect to locality, skewness, and spread.
In Mathematics, the five-number summary of any box and whisker plot include the following:
- Minimum
- First quartile
- Median
- Third quartile
- Maximum
By critically observing the box and whisker plots which represent the number of hours the students worked in summer jobs, we can reasonably infer and logically deduce that male students have a significant high outlier because the maximum value (37) is very far from the third quartile (15).
Read more on boxplots here: brainly.com/question/14277132
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