Team Members: * Hana Mehmedovic * Mariola Koplejewska * Ciera Sumner * Trinh Tran Mentors: * The Wonderful Jade Curry & The Magnificent Duaa Saleh

The entire GO-GIRL team decided to conduct a survey on *FUTURE GOALS and ASPIRATIONS.* In our separate groups, we came up with questions for the survey and they were posted online. From February 22 – March 24, 2003, a total of 636 people from all around the world responded to our survey! As researchers, we formed hypotheses, tested them with the data we collected, and formed our own conclusions.

Hypothesis #1 : The more confident you are that you will accomplish your goals, the higher the level of education you will pursue. Hypothesis #2: The longer you know a person or are friends with them, the more likely it is that your friends' opinions impact your decisions for the future.

 Predictor : How confident you are * Continuous Variable  Outcome : Your Highest Planned Degree * Categorical Variable T-Test : a statistical test that can only be used when you are comparing a continuous variable and a categorical variable. The more confident you are that you will accomplish your goals, the higher the level of education you will pursue.

Level of Confidence & Highest Planned Degree Statistical Measures: P Value = 0.92

The data supports our hypothesis. As it appears in the last graph, the more confident people are that they will achieve their goals, the higher they plan to go in their level of education. However, since our p-value was 0.92, this indicates that there is a 92% chance that our data is based on luck. The p-value would have to be less than 0.05 to be statistically significant. So, the relationship between our predictor and outcome is not statistically significant.

If we wanted our results to be statistically significant, we might want to ask more questions such as what level of education the survey participants are presently in. We may also want to ask people what are the chances that they may change their minds about the degree they hope to receive in the future.

 Predictor : How long you know a friend * Continuous Variable  Outcome : How much your friends’ opinions impact your future goals * Continuous Variable Correlation Test : a statistical test that tells the strength of the linear relationship between two continuous variables. The longer you know a person or are friends with them, the more likely it is that your friends' opinions impact your decisions for the future.

Statistical Measures: P Value = 0.48 Length of Time of Friendships & Level of Impact of Friends’ Opinions on Future Goals

For the most part, the graph shows that the longer you know a friend, the greater the chance is that they will impact your decisions about your future goals. So, our data is mostly in support of our hypothesis. However, the p-value for this set of data is 0.48, which means there is a 48% chance that our data is by chance. So, for our second hypothesis, the relationship between the predictor and outcome is not statistically significant.

If we were to do this survey differently, we would ask people questions like "who do you consider to be a friend?" or "what qualities do you think all friends should have?" This may help us get a p-value lower than 0.05 so that our results will be statistically significant.

If we were to make changes in our survey, we would want to make the survey available to people who do not have access to computers, are not familiar with, and people who cannot read English. We would also need to have more boys answer the survey questions so that our results would be more accurate. This would provide us a with a better and more realistic sample of the world’s population.

Gaining Options: Girls Investigate Real Life