I need help in proper interpetation of the data collected. A little bit confused whether the data I collected confirms the hypothesis or not.

1.It is hypothesized that males and females differ in type of schooling. In running analysis, I predict that whether the students are homeschooled or traditionally schooled, the difference between males and females will still be present.

2.It is hypothesized that males and females differ in type of instruction such as public school, private school, and Christian school. This prediction was made based on gender variables and the differences of emotional, logical, and environmental perceptions between males and females.

The first dataset collected was for a Chi-Square test and analyzed with two variables: gender and schooling. It was reported that the male count for home-schooling is 12, whereas traditional schooling is 14. The reported data for the female count is 33 for home-schooling and 78 for traditional schooling. The Chi-Square scored at 2.58 with probability .108 (rounded to .11). Based on the data collected we can see that the probability level is higher than .07, therefore, the outcome of the test is not statistically significant at the .05 level. Since the p-value (.11) is greater than significance level (.05), we fail to reject the null hypothesis. Thus, we can conclude that the difference between males and females in type of schooling is present. (Holcomb & Jarmuz-Smith, 2017), (IBM SPSS, 2020).

The hypothesis being tested that males and females are different in type of instruction. The dataset was collected for a Chi-Square test and analyzed based on gender variable and the instruction type: public school, home school, private school, and Christian school. It is calculated that the male count for public school is 4, for home school is 12, for private school is 4, and Christian school is 6. The count for females is 28 for public school, 33 for home school, 8 for private school, and 42 for Christian school. The Chi-Square scored at 5.52 with probability .137. Based on the results of the obtained data, we can see that the probability level is higher than .07, therefore, the outcome is not statistically significant at the .05 level. Since the p-value (.137) is greater than significance level (.05), we reject the null hypothesis. Private schools seemed to be the most relatable between males and females (Holcomb & Jarmuz-Smith, 2017), (IBM SPSS, 2020).