The situations described refer to one shopping center during a single month. In which situations are the data likely to have variability?
Select TWO correct answers.
A. the cost for lunch for a randomly chosen customer at the shopping center
B.the total number of stores in the shopping center
C.
the total number of customers who visited the shopping center during the month
To determine which situations are likely to have variability in the data, we need to consider the factors that can differ or change. Variability refers to the degree of dispersion or spread in the data.
A. The cost for lunch for a randomly chosen customer at the shopping center is likely to have variability. This is because the cost of lunch can vary depending on individual customer preferences, menu items chosen, discounts, promotions, and other factors.
B. The total number of stores in the shopping center is also likely to have variability. The number of stores can change over time due to businesses opening or closing, renovations, expansions, or other factors.
C. Since there is no information provided for the third situation, we cannot determine whether it is likely to have variability or not.
Therefore, the correct answers are A (the cost for lunch for a randomly chosen customer) and B (the total number of stores in the shopping center).
A. the cost for lunch for a randomly chosen customer at the shopping center
B. the total number of stores in the shopping center