Use TABLE 2 above to match the definitions with the terminology below.

The data set from the previous question, representing the amount of time spent (in minutes) by 32 customers, is:
18, 25, 30, 15, 12, 28, 35, 22, 10, 40, 17, 20, 23, 32, 27, 19
21, 26, 31, 16, 13, 29, 36, 24, 11, 41, 18, 21, 24, 33, 28, 20

Sorted data (n=32):
10, 11, 12, 13, 15, 16, 17, 18, 18, 19, 20, 20, 21, 21, 22, 23, 24, 24, 25, 26, 27, 28, 28, 29, 30, 31, 32, 33, 35, 36, 40, 41

Quick shoppers are customers who spent 20 minutes or less.
From the sorted data, the values $\le 20$ are: 10, 11, 12, 13, 15, 16, 17, 18, 18, 19, 20, 20.
There are 12 quick shoppers.
Total number of customers = 32.

$$\text{Percentage of quick shoppers} = \frac{\text{Number of quick shoppers}}{\text{Total customers}} \times 100\%$$ $$\text{Percentage of quick shoppers} = \frac{12}{32} \times 100\%$$ $$\text{Percentage of quick shoppers} = 0.375 \times 100\%$$ $$\text{Percentage of quick shoppers} = \boxed{37.5\%}$$

To identify an outlier, we can use the 2-standard deviation rule.
First, calculate the mean ($\bar{x}$) and standard deviation ($\sigma$).
Sum of all values ($\sum x$) = 752
Number of values (n) = 32

$$\bar{x} = \frac{\sum x}{n} = \frac{752}{32} = 23.5$$

The sum of squared differences from the mean ($\sum (x_i - \bar{x})^2$) = 2218 (calculated in thought process).

$$\sigma = \sqrt{\frac{\sum (x_i - \bar{x})^2}{n-1}} = \sqrt{\frac{2218}{31}} \approx \sqrt{71.548} \approx 8.458$$

Outliers are typically values that fall outside the range of $\bar{x} \pm 2\sigma$.
Lower bound = $23.5 - 2(8.458) = 23.5 - 16.916 = 6.584$
Upper bound = $23.5 + 2(8.458) = 23.5 + 16.916 = 40.416$
Any value less than 6.584 or greater than 40.416 is considered an outlier.
Looking at the sorted data, the value 41 is greater than 40.416.
The outlier is $\boxed{41}$.

Using TABLE 2: TERMINOLOGY USED IN MATHEMATICAL LITERACY.

• 1.3.1 Mode: Value or values appearing most often in a data set. This matches definition G.
• 1.3.2 50%: The even chance probability. This matches definition F.
• 1.3.3 Median: Middle value in an ordered data set. This matches definition A.
• 1.3.4 Mean: Sum of all values divided by the number of values. This matches definition B.
• 1.3.5 IQR (Interquartile Range): The spread of the middle 50% of the data. This matches definition C.
• 1.3.6 Breakeven point: The income received from the item sold and the cost price of the item are the same. This matches definition E.

The matches are:
1.3.1 $\boxed{\text{G}}$
1.3.2 $\boxed{\text{F}}$
1.3.3 $\boxed{\text{A}}$
1.3.4 $\boxed{\text{B}}$
1.3.5 $\boxed{\text{C}}$
1.3.6 $\boxed{\text{E}}$