Selling Old Phones: Looking for Balance

Laurel has saved all of the wePhones that she has broken and she now wants to auction them off on eBay. However, Laurel is uncertain what base-auction price to set for her broken WePhones.

To determine what price to set at the beginning of her WePhone auctions, Laurel conducts a new experiment: Laurel grabs a random sample of broken WePhones from her closet, and randomly assigns them to a treatment group (WePhones to be base priced at $10), and a control group (WePhones to be base priced at $5). Laurel's end goal is to determine whether her sample is unbalanced. Using the dataframe WePhones:

1) Take a look at the structure of dataframe WePhones with the "str" function.
2) Subset the WePhones dataframe into two new dataframes, one for WePhones in the treatment, titled Treatment and one for WePhones in the control titled Control.
3) Calculate the percent of phones in the treatment group and control group that are "Black" with the mean function.

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Exercise

Selling Old Phones: Looking for Balance

Instructions