Develop a histogram and assess the distribution of each variable. Consider why the distribution of the data is important.

Provide Reference

Independent Variables

Independent Variables (IVs)	Justification for IV	Level of Measurement	Justification for Level of Measurement
Distribution of Frequency	The independent variable in this study is the frequency of distribution. This variable measures how often an event occurs or how often an item is distributed within a specific population. By measuring the distribution frequency, the researcher can understand how often certain events or items occur and determine how this impacts the study. For example, suppose the researcher was studying the distribution of food items in a specific population. In that case, they could measure the frequency of distribution to determine how often certain food items are being distributed and what impact this has on the overall health of the individuals in the population.	The level of measurement for this variable is nominal because it is used to measure categories of data	The level of measurement for this variable is nominal because it is used to measure categories of data. Nominal data has no numerical values, meaning it is not used to measure the difference between two items. Instead, it determines how often an event or item occurs within a specific population. This data type is best measured using nominal variables because it allows the researcher to categorize the data without assigning any numerical values. This measurement level is best suited to measuring the frequency of distribution within the population.
Proportions	The independent variable in this study is proportions, which refers to the ratio of one quantity to another. This variable is essential for the study, as it allows researchers to determine the relative size of different groups or units in a given population. Proportions can be used to measure a specific population's size, the sample's composition, or the differences between groups. Using proportions, researchers can observe patterns and trends in data and make comparisons between different groups.	The level of measurement for Proportions is a ratio, as it involves comparing two different quantities.	The level of measurement for Proportions is ratio because it allows researchers to compare the ratio of one quantity to another. It is essential to measure the proportion of a particular population, the composition of a sample, or the differences between groups to make meaningful comparisons between different groups. Additionally, proportions can be used to observe patterns and trends in data, which can help researchers conclude the population. Proportions are a significant independent variable for this study as it allows researchers to compare the ratio between two different quantities, measure the size of a particular population, and observe patterns and trends in data. The level of measurement for Proportions is a ratio, as it allows researchers to compare the ratio between two different quantities.

Dependent Variable

Dependent Variable (DV)	Justification for DV	Level of Measurement	Justification for Level of Measurement
Percentage	The dependent variable in this study is a percentage, as it measures the amount or rate of something relative to a total. The percentage is used to measure the success or performance of a particular activity and to compare different activities or groups of people. In this study, a percentage is used as a dependent variable because it is used to measure the success or performance of a particular activity, such as a survey or a sales goal.	Level of Measurement: Ratio	The level of measurement for percentage is ratio because it is a measurement that has a fixed zero point, which means that it can be compared to other measurements without the need to subtract or add any values to it. Furthermore, the percentage has an equal interval, meaning that the difference between two values is always the same regardless of the size of the numbers. For example, the difference between 0% and 50% is the same as between 50% and 100%. This level of measurement makes percentage an ideal measurement for comparing different activities or groups of people, allowing for a more accurate comparison.