Ryan Deluna. Independent Project. 1.Frequency Distribution

Ryan DeLuna Independent Project 1. Frequency distribution of a variable and bar graph of the same variable A frequency distribution table is used for arranging data values and counting the number of time each value appears in a dataset. They can be used for both qualitative and quantitative variables. For this data pool I decided to use the subjects’ marital status because it is a qualitative, nominal level variable. (Polit, 23) Frequency table results for racethn: Count = 972 racethn Frequency Relative Frequency Percent of Total Black, not Hispanic 795 0.81790123 81.790123 Hispanic 123 0.12654321 12.654321 White, not Hispanic 54 0.055555556 5.5555556 The table above is a frequency table that shows the relative frequency and the percent†¦show more content†¦The summary includes variance, mean, median, mode and standard deviation. As shown in the histogram majority of people in the data pool have a height of 62-68 inches. This is a symmetrical distribution seeing how close the mean and median are to each other. 3. Cross tabulation of two variables A cross tabulation is a two-dimensional frequency distribution of two nominal or ordinal variables that records the frequency of respondents that have the specific characteristics. These tables provide a wealth of information about the relationship between the variables. For an example I chose to use poverty levels and smoking to show how a contingency table can illustrate a frequency distribution. Poverty level is a nominal variable that will be the independent variable and the dependent variable will be smoking. The end table is a chi-square test and it is used to determine if the variables are unrelated. Contingency table results: Rows: smoker Columns: poverty Cell format Count (Row percent) (Column percent) (Percent of total) (Expected count) (Contributions to Chi-Square) Above poverty Below poverty Total No Count (Row percent) (Column percent) (Percent of total) (Expected count) (Contributions to Chi-Square) 127 (25.87%) (58.26%) (13.13%) (110.69) (2.4) 364 (74.13%) (48.6%) (37.64%) (380.31) (0.7) 491 (100%) (50.78%) (50.78%) Yes Count (Row percent) (Column percent) (Percent of