A large outlier could affect the data set because it could make the mean larger, which just means that the average number of the set would be a lot bigger than it already is.
An example would be: 1, 3, 5, 19
19 is obviously the large outlier, so to find the mean, we would add everything together then divide by 4.
The mean would be 28/4=7 So 7 is our mean, but if the large outlier were, let's say 50, then the mean would be way larger than it already is.
~Hope this helped!~
Answer:
ya esta simplificado, solamente simplificas los fracciones
Step-by-step explanation:
1. 3n
2. 9x
3. 9wx
4. 5ac^2
5. 8wx^2
6. 4a^2 c
<h2>4 hours → 9 scarfs</h2><h2>8 hours → 18 scarfs</h2><h2>12 hours → 27 scarfs</h2><h2>16 hours → 36 scarfs</h2><h2>20 hours → 45 scarfs</h2><h2><u>24 hours → 54 scarfs</u></h2><h2><u /></h2><h3>Therefore, Michala can sew 54 scarfs in 1 day.</h3>
60<span>cm²
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-xo Cote♥
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