Tip: Choose Save as PDF in the print dialog to download. Use A4 paper size.
Shade in the A or B circle for each question.
Draw a line connecting each item on the left to its match on the right.
| Left column | Right column | |
|---|---|---|
| 1=AVERAGE(B2:B20) | AMEDIAN barely changes when an outlier is added. It is AVERAGE (the mean) that gets dragged towards the outlier. | |
| 2=MEDIAN(B2:B20) | BAVERAGE = 950000, MEDIAN = 620000 | |
| 3Check for skew by putting the mean and median side by side in two cells | C=AVERAGE(B2:B20) and =MEDIAN(B2:B20) | |
| 4With one huge house price in the list, the mean is much higher than the median | DThe mean is much higher than the median, which means the data is skewed. The median is the fairer typical value to report. | |
| 5Mean = 48, Median = 20, so report the mean as the typical value | EFinds the middle value, which barely moves when an outlier is present | |
| 6=MEDIAN(B2:B20) changes a lot if one salary is huge | FFinds the mean, which is pulled towards any outlier in the data |
Complete each line of code by filling in the missing parts.
Shade in the letter of the line that contains an error.
mean vs median — An outlier drags the mean towards it but barely moves the median. If the two differ a lot, the data is skewed, so the median is usually the fairer typical value to report.=MEDIAN(B2:B20)=AVERAGE(B2:B20)=AVERAGE(B2:B9)-MEDIAN(B2:B9)=IF(AVERAGE(B2:B9)>MEDIAN(B2:B9),"Skewed","")D1: =AVERAGE(B2:B9)
D2: =MEDIAN(B2:B9)
D3: =IF(D1>D2,"Skewed up","Not skewed")