Team 7_DataAnalysis_12072023

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Feb 20, 2024

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Tanya Kansal, Giorgina Kirner, Melissa Phelan Milestone 4 Table 1: Frequencies for Gender Gender Frequenc y Percen t Valid Percent Cumulative Percent Male 53 42.742 42.742 42.742 Female 71 57.258 57.258 100.000 Missing 0 0.000 Total 124 100.00 0 Table 2: Frequencies for Race and Ethnicity RaceEth Frequency Percen t Valid Percent Cumulative Percent White 42 33.871 33.871 33.871 Black 66 53.226 53.226 87.097 Hispanic 16 12.903 12.903 100.000 Missing 0 0.000 Total 124 100.00 0 Table 3: Descriptive Statistics Vali d Mean Std. Deviation Minimum Maximum Age 124 20.339 1.785 18.000 23.000 MonsProg 124 15.339 6.541 6.000 24.000
Table 4: Contingency Tables Group InSchool Program Control Total Not in school Count 26.000 38.000 64.000 % within column 41.935 % 61.290 % 51.613 % In school Count 36.000 24.000 60.000 % within column 58.065 % 38.710 % 48.387 % Total Count 62.000 62.000 124.000 % within column 100.000 % 100.000 % 100.000 % Table 5: Chi-Squared Tests Value df p Χ² 4.650 1 0.031 N 124 The tables provide demographic information and descriptive statistics of our sample, and tell us that the relationship between participating in the program and staying in school is statisti- cally significant. 124 young people who had aged out of foster care in New Jersey made up the sample for our research. Approximately 43% of the population was male and 57% female (see Table 1). The sample was approximately 34% white, 53% black and 13% hispanic (see Table 2). The mean age for a person in our sample was 20 years old, with participants ranging in age from 18- 24 (see Table 3). The average amount of time in the program was 15 months, with times in pro- gram ranging from 6 months to 24 months (Table 3). Looking at contingency tables and per-
forming a chi square test clearly demonstrated that participating in the TLP had a statistically significant impact on the likelihood of program participants staying in school (the p value is .03, see Table 5).
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