Online Groceries The following data represent the day of the week an order was placed for groceries using the online grocery delivery service Instacart.

b. If you own an Instacart franchise, what day would you want to have the most drivers available to deliver groceries?

Verified step by step guidance

1. Step 1: Organize the data by counting the frequency of each day of the week from the table. This means tallying how many times Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, and Sunday appear in the data.
2. Step 2: Create a frequency table listing each day of the week alongside its corresponding count from the data. For example, Monday: x times, Tuesday: y times, and so on.
3. Step 3: Identify the day with the highest frequency count in the frequency table. This day represents the day when the most orders were placed.
4. Step 4: Interpret the result by concluding that the day with the highest number of orders is the day you would want to have the most drivers available to meet delivery demand.
5. Step 5: Optionally, visualize the data using a bar chart or histogram to clearly see which day has the highest order volume, reinforcing your conclusion.

Key Concepts

Frequency Distribution

Frequency distribution is a summary of how often each value or category occurs in a dataset. In this question, counting the number of orders placed on each day of the week helps identify which day has the highest demand. This is essential for determining when to allocate more delivery drivers.

Mode

The mode is the value that appears most frequently in a dataset. For the Instacart orders, the mode day indicates the day with the most orders. Knowing the mode helps the franchise owner decide which day requires the most drivers to meet customer demand.

Data Interpretation from Tables

Interpreting data from tables involves organizing and analyzing raw data to extract meaningful information. Here, the table lists days of the week for orders, and understanding how to read and tally this data is crucial for making informed decisions about resource allocation.