Numerator found that Walmart’s typical shopper in the US is a white woman between 55 and 64 years old, who is married and living in the suburbs of the Southeast. She typically has an undergraduate degree and earns about $80,000 per year.
She visits Walmart at least once per week — about 63 trips per year — and picks up 13 products for a total cost of about $54 per trip. 13.5% of her spending takes place at Walmart, while she spends about 11% at Amazon.
Her primary shopping categories in-store are groceries, including chicken, fruit, snacks and sweets, but she also gets a lot of fast food. Her favorite five brands at Walmart are Turkey Knob, Cheetos, Betty Crocker, Dole, and Tyson.
I am always looking for examples to help illustrate the differences between the three primary measures of central tendency: mean, median, and mode. When an article or report says something is “typical,” what exactly do they mean? Here is my guess at which data above is which measure of central tendency:
-mean: age, education level, visits to Walmart, money spent per trip
-mode: race/ethnicity, marital status, place of residence, what is purchased
Some of these are harder to guess or do not fit these three options well. For example, is the $54 per visit a mean or median? Or, the five favorite brands are not a singular mode and they may lead the list of brands but not actually comprise that much of the total percent of purchases.
Additionally, it would be interesting to add measures of variability. How much variation is there in the age and education level of Walmart shoppers? I would guess the company wants to know more about the $54 spent per trip; how many spend more and what could be done to increase the number of people who spend more? Throw in a standard deviation or some other measure of dispersion and the numbers above become much more interesting.
In the end, the report above does not mean that someone visiting a Walmart will find most shoppers fit that profile. The measures of central tendency here tell us something but using multiple measures plus some measures of variability would provide more in terms of revealing who is at Walmart.