Central Tendency

Measures of central tendency describe the center of data distribution by demonstrating the most typical subject in a sample. Central tendency help researcher to summarize the data (Rubin & Babbie, 2014). To better explain the data collected in a study, there are three ways of presenting the information; with the mode, the median, and the mean. Mode is the most frequent response among the subjects such as the most check boxes in a categorical variable. The median is the center point from the lowest to highest or vice-versa. In order to utilize the mean, there should be numbers in the study. For the purpose of his study, the mode will be utilized, as the variables will be gender and ethnicity. For instance, for the variable of gender, if male

The standard deviation is a measure of dispersion reported with the mean. Measure of dispersion is a summary of the distribution around the measure of central tendency (Rubin & Babbie, 2014). For the purpose of this study, the central tendency utilized is the mode. In order to provide more information in regards to the variable of ethnicity and gender, the measure of dispersion is utilized, and in order to explain the measure of dispersion, standard deviation is utilized. Standard deviation is a descriptive statistic that explains how far away from the mode individual scores on average are located (Rubin & Babbie, 2014). For instance, if the mode -African American- was 60, with one standard deviation, means that the percentage of the population who checked this box on the survey would be 68 percent. This gives a better picture of how many African American subjects participated in the study. If the mode was the only piece of information provided, there would be uncertain of how many African American subjects participated. Now, for the variable of gender, if the mode were male, with two standard deviations, would mean that 95 percent of the population reported male on the