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The box plot below shows the total amount of time, in minutes, the students of a class surf the Internet every day:

Part A: List two pieces of information that are provided by the graph and one piece of information that is not provided by the graph. (4 points)

Part B: Calculate the interquartile range of the data, and explain in a sentence or two what it represents. (4 points)

Part C: Explain what affect, if any, there will be if an outlier is present. (2 points)


The Box Plot Below Shows The Total Amount Of Time In Minutes The Students Of A Class Surf The Internet Every Day Part A List Two Pieces Of Information That Are class=

Sagot :

A: highest and lowest time surfing the internet
What the look at on the internet
B: 40 to 60 minutes
It represents the middle half of the students in the class
C: there should be no significant effect on the interquartile range if there is an outlier. The graph as a whole would have longer “whiskers” though.

PART A:

Two pieces of information that are included by the graph are the minimum value (20)  and the maximum value (95). One piece of information that is not included in the graph is the number of students who surf the internet. (this one doesn’t really need a step by step because it is just analyzing a graph)

What is Interquartile Range?

The Interquartile range tells you the spread of the middle half of your distribution. Quartiles segment any distribution that's ordered from low to high into four equal parts. The interquartile range (IQR) contains the second and third quartiles, or the middle half of your data set.

PART B:

The IQR is equal to 20. The IQR represents the mid-spread, or 50% of the data.

To find the IQR, you need to subtract the first quartile from the third quartile. So to find the IQR we would need to subtract 60 ([tex]Q_{3}[/tex]) and 40 ([tex]Q_{1}[/tex]),

So, Interquartile Range = [tex]Q_{3} - Q_{1}[/tex]

IQR = 60-40 = 20

IQR = 20.

Thus, 20 is the IQR.

PART C:

If an outlier is present, it may affect the mean, but will not change the median or the mode.

An outlier is an abnormally large (or small) number in a given data set.

Learn more about Interquartile Range from:

https://brainly.com/question/4135956

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