make up a list of data with the following landmarks:

mode:15
minimum:5
median:10
Maximum:20
use at least 10 numbers

describe a situation in which these data might actually occur

5,5,5,10,10,10,15,15,15,15,20

Tyler, I did one of these for you yesterday. You should be able to do them on your own now. Don't post any more of these problems without attempting them yourself (and showing work) first!

I'm a different Tyler WATever

Gina,thank You For your help. I'll Show my work next time. Thanks for your quick feedback.

To create a dataset with the given landmarks, we need to consider the mode, minimum, median, and maximum values. Here's an example dataset that satisfies the given landmarks using at least 10 numbers:

5, 5, 5, 7, 10, 10, 11, 14, 19, 20

In this dataset, the mode is 5 since it occurs three times, making it the most common number. The minimum value is 5, which is the smallest number in the dataset. The median is 10, which is the middle value when the numbers are arranged in ascending order. Finally, the maximum value is 20, which is the largest number in the dataset.

Now, let's consider a situation in which these data might actually occur. Imagine a survey conducted among a group of 10 people, asking them to rate their happiness on a scale of 1 to 20. The dataset above could represent the responses from these individuals.

In this hypothetical scenario, the fact that the mode is 5 indicates that a significant portion of the group expressed a happiness rating of 5. The presence of multiple 5s suggests that this rating might be popular or typical among the surveyed individuals. The range from 5 to 20 indicates that responses varied, with some individuals reporting higher levels of happiness (up to 20) and others reporting lower levels (down to 5). The median being 10 suggests that about half of the individuals rated their happiness above 10, while the other half rated it below 10.

Remember, this is just one example situation where the given data might occur, and there can be various other possibilities depending on the context and data sources.