Select all the situations that can be represented by 1/2 x 5 Diego lives 5 miles from school, and Elena lives 1/2 as far away as Diego. How many miles does Elena live from school?
Jada has 5 bottles that each contain 1/2 liter of water. How many liters of water is that in total?
Noah has 5 meters of rope. How many pieces of rope of length 1/2 meter can he cut from it?
Lin's goal is to run 5 miles. She ran 1/2 mile. What fraction of her goal is that?

The second sentence. They told you that 5 bottles EACH contains 1/2 liter of water. That means that 1 bottle = 1/2 liter of water. In order to find the total amount, you need to do 5 x 1/2, which is literally what the questions asks for. Only the second question contains what they ask for. Hope this helped! :D

Step-by-step explanation:

Data types are an important aspect of statistical analysis, which needs to be understood to correctly apply statistical methods to your data. There are 2 main types of data, namely; categorical data and numerical data.

As an individual who works with categorical data and numerical data, it is important to properly understand the difference and similarities between the two data types. This will make it easy for you to correctly collect, use, and analyze them.

The importance of understanding the different data types in statistics cannot be overemphasized. Therefore, in this article, we will be studying at the two main types of data- including their similarities and differences.

What is Categorical Data?

Categorical data is a type of data that can be stored into groups or categories with the aid of names or labels. This grouping is usually made according to the data characteristics and similarities of these characteristics through a method known as matching.

Also known as qualitative data, each element of a categorical dataset can be placed in only one category according to its qualities, where each of the categories is mutually exclusive. For example, gender is a categorical data because it can be categorized into male and female according to some unique qualities possessed by each gender.

There are 2 main types of categorical data, namely; nominal data and ordinal data.