Java Journeys: Uncovering Coffee Consumption Patterns with Statistics Cont.

In addition to recording the type of beverage, Rebecca and Carlos also recorded the time (in minutes) they spent in the coffee shop each time they visited. Here is the data for one week:

Rebecca’s Time: [latex]45, 42, 60, 47, 50, 75, 82[/latex]

Carlos’s Time: [latex]40, 50, 60, 70, 45, 65, 80[/latex]

Help them create a histogram of this quantitative data.

Sometimes Rebecca and Carlos are joined by a group of friends as they study. They decide to start tracking their friends orders as well.

They collect the following data for a week:

Friend Group’s Orders: [Latte, Latte, Espresso, Cold Brew, Americano, Latte, Americano, Espresso, Cold Brew, Latte, Americano, Espresso, Cold Brew, Cold Brew, Cold Brew, Americano, Latte, Latte, Espresso]

Help them organize this data into a Pareto chart.

Espresso Express offers four different types of pastries: croissants, muffins, donuts, and scones. They decide to record their friends’ pastry choices for a week, and the results are as follows:

Croissants: [latex]15[/latex]
Muffins: [latex]10[/latex]
Donuts: [latex]20[/latex]
Scones: [latex]5[/latex]

Help Rebecca and Carlos create a pie chart to represent these results.

After gathering all the data and making all the necessary charts and graphs, Rebecca and Carlos are ready to analyze the data.

Rebecca and Carlos have now used a variety of methods to organize and analyze their coffee-drinking habits as well as gain new insights into their preferences and those of their friends. They’ve also learned that statistics isn’t just a subject to study – it’s a tool that can help them understand the world around them in a more meaningful way. By applying these techniques in other aspects of their lives, they can make more informed decisions and understand patterns better. Great job helping them out!