Missy Wittenzellner Big Brother Big Sister Project

Missy Wittenzellner Big Brother Big Sister Project

Evaluation of Normality: Before the analysis, we need to make sure that the data is normally distributed Based on the histogram, our match length data is skewed to the right Match Length

Does having the same or different gender effect the length of a Meaning: relationship? If the child has the same gender as the volunteer, will the relationship last longer? Or If the child has a different gender than the volunteer, will the relationship last longer? Therefore: Will there be a significant difference if the gender of the pair is same or different?: u1 = mean length of relationship of the same gender pairing u2 = mean length of relationship of the gender pairing being different Ho: u1 = u2 H1: u1 u2

Variables to Consider Independent: Child Gender Volunteer Gender Having the Same or Different Gender Dependent: the length of the relationship based off of the similarity or difference in gender Looking at gender pairing can be an important aspect to consider: Being in a pair of the same gender could be easier for the pair to get along and cause a long relationship. OR If the pair consists of different genders, that could be better because they can learn from the difference in personalities causing a longer relationship

Background Information: First: It was nice to see what the difference between the child gender totals As you can see, there are more females in the BBBS program There are about 60 percent of females in the program and 40 percent of males in BBBS Child Gender

Background Information: Next: Looking at the volunteer gender helps as well to see the differences in gender There are also more females than males who volunteer in the BBBS program About 64 percent of people in the program are female and 36 percent of people are males in BBBS Volunteer Gender

Background Information: Drawing Conclusions By comparing the percentages of each subject, once can see that there will be some differences in the gender. There are 4 percent more volunteer females than there are female children. This can then lead to testing the question.

Background Information Finding the Same or Different Gender Finally A new column was created The genders were compared and marked either same or different This showed that there are about 5% of relationships that have a different gender and 95% of relationships were the same gender Relationships

Ho: u1=u2 H1: u2 u2 Testing the Hypothesis α =.05 With the hypothesis and the level of significance stated, we then can test the hypothesis Using the two variables: independent gender equivalence dependent length of relationship -entered data into SPSS -performed an independent samples t-test The t-test would be able to test if there is a significant difference between the two different pairing types

Results: Box Plot Looking at the box plot, comparisons can be made between the different gender and the same gender pairing Different Gender Results: - Center 30 months - Spread 10 95 months - Shape skewed right Same Gender Results: - Center 23 months - Spread 2 months 120 months - Shape skewed right Interesting things to note: There are a lot of outliers for the same gender data due to a large sample The same gender s longest relationship lasted 10 years!!

Results: Statistics and T-Test Same or Different Gender N Mean Standard Deviation Degrees of Freedom T Value Significance (p-value) Same Gender 297 26.99 19.84 309-2.223.027* Different Gender * p<.05 14 39.34 29.23 Since the p-value is less than.05, we can reject the null hypothesis. Therefore, there is enough significance to conclude that there is a difference between the different and same gender pairing. Further it showed that a different gender pair tends to last longer, about one year.

Data Caution and Suggestions The sample for the same gender pairing is a lot larger than the sample for different gender pairing. This large difference could cause the results to be misleading. There is not a close enough representation of each pair. Suggestions for further research: Randomly select 15 0r 20 pairs from the same gender pairing to create a better data representation when comparing to the different gender pairing data. This will show with even more confidence on whether there is a difference between same gender or different gender pairing.

Final Statement According to the results, there is a significant difference between the pairings. The conclusion to draw is that a pair that consists of two different genders will have a longer relationship. However because the two different pairings were not closely equivalent with the amount of pairings, there is reason to further believe that this would effect the outcome. Bye!