Global Journal of Human Social Science, G: Linguistics and Education, Volume 23 Issue 3

Choice Programs, a no Choice STEM program (Palm Beach County Schools, 2020). This research aimed to develop and deliver a STEM-focused weekly program at the high school. This study focused on all aspects of STEM integrating the arts. The participants included female, predominantly Hispanic, 9th-grade students. Administrators at the school provided teachers, staff, and the physical space necessary to support the program. In addition, STEM professionals from the researchers’ private university were recruited and delivered focused presentations at the weekly meetings, including anatomy, elementary physics, food science, botany, 2-D painting/drawing, sound, engineering, Tai Chi, and physiology. The Student Attitudes Toward STEM Survey (S-STEM) measures students’ interest and awareness of STEM content and careers (Friday Institute for Educational Innovation, 2012) and has shown acceptable levels of reliability and construct validity (Faber et al., 2013; Unfried et al., 2015). The S-STEM consists of four sections to measure one make within the STEM domain (i.e., science, technology, engineering, and math). For this study, the researchers used a modified version of the science section comprised of nine statements with answers ranging from “Strongly Disagree” to Agree Strongly.” The answers will represent numeric values ranging from 1 to 5; an overall average will be computed. Based on the Central Limit Theorem (CLT), the sample size of 37 is sufficient for statistical significance. The Central Limit Theorem is used so that the sampling distribution will always be generally distributed if the sample size is large enough, in our case, 37 students. The pre-survey on Science, Technology, Engineering, and Mathematics was given in October 2022 before the workshops (Figure 2). III. R ESULTS AND D ISCUSSION Statistical methods for analyzing data are critical as they provide necessary insight to researchers. For individuals conducting research problems, it is essential to understand how to develop a research problem, along with a plan for gathering data, followed by ways to interpret the collected data. Next, researchers gather raw data and transform them into graphs to further dissect the results. Finally, researchers can conclude a population using analysis methods such as descriptive statistics, inferential statistics, and correlation analysis. This study will investigate 9th-grade female students’ attitudes and abilities toward four areas of STEM following a survey obtained from a population sample. a) Development of Raw Data into Graphs The central limit theorem is the principle that the distribution from sample means makes assumptions as a population grows. Using the preliminary pre-survey data of 9th-grade female students, we can make assumptions about the people of all 9th-grade female © 2023 Global Journals Volume XXIII Issue III Version I 23 ( ) Global Journal of Human Social Science - Year 2023 G Using Hands-on Experiences including Various Forms of ARTS to Increase Ninth-Grade Female Students’ Interest in STEM – Final Results 0 5 10 15 20 25 PARTICIPANT RESPONSES Pre-Survey Science Strongly Disagree Disagree Neither Agree or Disagree Agree Strongly Agree Figure 2: Sample Pre-Survey Results (Science) students regarding the sample responses to the