Can someone Help Please?
The table shows data from a survey about the amount of time high school students spent reading and the amount of time spent watching videos each week (without reading): Reading Video 4 4 4 5 5 6 5 8 5 9 6 10 7 11 8 12 8 14 9 25 Which response best describes outliers in these data sets? Neither data set has suspected outliers. The range of data is too small to identify outliers. Video has a suspected outlier in the 25-hour value. The 25-hour value for video does not pass the outlier test of 1.5 • (IQR) + Q3.
?
Well, the obvious candidate outlier is the 9,25 data point. Let's look at the interquartile range of the data (IQR). Do you know how to find that?
no valpey when it comes to math im not the brightest lightbulb... >.<
Oh, hang on, I don't think these data points are ordered pairs, but wait let's back up a second. Let's remove the self-depricating statements like "im not the brightest lightbulb". You run the risk of convincing yourself of something before really giving yourself a chance.
So the interquartile range involves splitting the data into quartiles (fourths). For any set of number data you can split the lowest quarter from the second lowest quarter to the third quarter to the top quarter.
lol
Just looking at the data from the video column I split them into quarters like this: 4,5, 6 7,8, 9, 10,11 12, 14, 25 So I will say the first quarter is anything less than 6 The second quarter is anything between 6 and 9 The third quarter is anything between 9 and 12 The top quarter is anything above 12
There is a special name for the number in the middle. It is known as the "Median". In this case the Median is 9. But the splits between the 1st and 2nd quarters (6) and between the 3rd and 4th quarters (12) are also special. The difference between these is known as the "Interquartile Range". In our case 12-6 = 6 So the IQR = 6
What does \[Q _{3}\] mean?
Q3 is that split between the 3rd and top quarters. In our case 12.
Quartile 3?
Yes
oh ok
So the \[IQR = Q_3-Q_1 = 12-6 = 6\]
so \[1.5 \times 6 +\]
12
Yes\[\large1.5*6+Q_3=1.5*6+12=9+12=21\]
so does it work out?
or can we eliminate d
Because 25 > 21, we can say that the 25-hour outlier does not pass the 1.5(IQR)+Q3 test. Also, I mis-copied the data by adding in a 7, but we got it.
so its d?
Yes
THank You!
You bet. And your lightbulb is working just fine.
lol thx tho id rather have an l.e.d. light lol
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