Our team was a given a task to research college students on leisure travel focusing on price. Throughout our project we collected data using qualitative, quantitative, and secondary data. For the qualitative research part we conducted a focus group where we witnessed an interaction between five college students on their opinions on cost for leisure travel. Following the focus group we constructed a survey for our quantitative portion of our research. We input our findings from the surveys in a statistical software program to help us interpret the commonalities and differences of the individuals that were surveyed. In conducting the focus group we collected data from five individuals, four being females and one being a male. In the conversation we covered their personal budget, most frequent places, money saving ideas, their spending on leisure travel compared to other students, and outside influences on travel decisions. Many individuals based the way they spent their money depending on where they were traveling. For example we compared a Vegas trip to a Disneyland trip and found out that more money was budgeted when going to a Vegas trip. The reason for this was that individuals budget more for a Vegas trip for the purpose of convenience and the fact that all the attractions are on the strip. In comparison, for a Disneyland trip most of your time is spent away from your hotel, which means that you are able to stay further away for a cheaper price. When discussing money saving ideas, group trips with split costs would leave more budgeted money to entice the entire group to accept going on the trip. Our Focus group varied when discussing what they think their budgets are compared to other student's budgets. Traveling with family was a big influence on how much the individuals in the focus group budgeted for those trips. Leisure traveling with family was more cost effective and showed to make spending decisions much easier. Knowing your stay, travel, and food will most likely be paid for when traveling with family can play a big role in your decision to leisure travel. Traveling on less popular dates was discussed to lower the cost. For example traveling to Vegas during the week rather than the weekend to save money allowing you to spend more on activities was on the idea for people with a smaller budget. During our qualitative research we found that not only price was a factor, but location, family, friends and the time of year also influenced how college students made decisions on leisure travel. We conducted a quantitative research by surveying thirty college students using sixteen different questions to evaluate their preference on price in regards to traveling. We surveyed students at random and found that we had fifteen males and fifteen females. Our purpose was not to have half females and half males; it just turned out that way. We assume most students between the ages of 21-30 are more independent which means they may have a higher tendency to travel. The majority of students were white and Latino, most of them being seniors. We took into account college students’ household income as well. 50% of the students reported a household income of $40,000 or less. Using the computer software, SPSS, we were able to enter our data and convert it into statistical information that is easily readable and understandable. We compared gender of the people surveyed and the amount they spend on traveling compared to other students. Over 50% of males feel they compare to students in the average to below average range, while just fewer than 50% of females felt the same way. Only 33% of males and 26% of females felt they spent above the average range compared to other college students. Based on the SPSS Chi-Square Test, we were given an insignificant value of 0.329. Our second SPSS evaluation was based on the Cross-Tabulation. This displays the comparison between ages and if budget was a factor when planning a trip. Our results concluded that 90% of the students agreed or highly agreed that budget is a factor. Of the surveyed people that agreed or highly agreed, 33.3% of them ranged between the ages of 16-20, 63% ranging between 21-30. The Chi-Square test findings showed an insignificant value of 0.527. In our third Cross Tabulation, we compared ethnic background to the amount you spend on traveling compared to the other students. A total of seven students fell into the above average to other college students. Our results turned out that the groups that spend the most are Caucasian and Latinos. But overall 70% of the combined ethnic group spent an average to the least amount compared to the other students. The Chi-Square revealed an insignificant level of 0.510. In another Cross Tabulation, we compared students college standing and college budget on travel compared to other college students. The current status in college displayed that freshmen spent below average in comparison to the sophomores, juniors and seniors. Furthermore, our cross tabulation findings concluded that graduates are most likely to spend more than other students on travel. Based on this evaluation, it can be assumed that the more educated the student, the more likely they are to spend more on travel. This assumption can be made based on the fact that older students are more experienced with a higher and consistent level. The Chi-Square test showed a significance level of 0.06, which shows there is a correlation between college grade level and amount spent on leisure travel. In our final Cross Tabulation, we compared the current status on college to how much they would spend on a trip to Las Vegas. Based on our results, sophomores and seniors spent the most money on a trip to Las Vegas whereas freshmen and juniors spent a lower amount. The majority of seniors are spending between $200-$600 on this trip; the majority of sophomore grade level students are spending between $400-$800. Hardly anybody in all grade levels were willing to spend between $800 and $1,200 on a trip to Las Vegas. Our Chi-Square results for this evaluation were insignificant at 0.428. Under the first Anova test we compared the age and ethnic background of students to how much they are willing to spend. In our results the age group is insignificant at a .318 level and the ethnic background is also insignificant at a .281 level. Due to the high insignificance level this determined that there will be a higher level of error which means this information is inconclusive. This concludes that there is no relevance in ethnic background or age compared to other college students spending on leisure travel. In our second Anova test we compared age with gender and how much they are willing to spend. Based on the results age came out to be significant at a .079 level. Gender turned out to be insignificant at a .423 level. Since gender had a significant level at .079 it means that there is a lower span of error. With gender the level of insignificance was .423 which means there will be a higher level of error and be uncertain. There was no relevance to gender compared to how much students are willing to spend. In doing this comparison Age was the one that was a relevant result to how much students are willing to spend on leisure travel. In our bivariate regression we compared the amount you spend on traveling and the likely hood that you are going to travel in the holidays. Comparing these two, the results revealed a significance level of .011 which describes a strong correlation between the amount of money spent on travel compared to other students and the likely hood to travel during the holidays. From all the data we have collected through quantitative, qualitative and secondary research we have noticed patterns on how students make decisions when they travel. We found out that a lot of things were a factor in college student decisions when spending on leisure travel. The factors that were the most notable were; traveling destinations, traveling with family, traveling with friends, and seasonal traveling dates. Depending on their individual preference on spending different factors were significant to each student. Over all, destination plays the biggest role when leisure traveling. We notice that the willingness to spend can be higher depending on the preference of travel, and what the place of destination has to offer. In the focus group we gathered their responses and learned many different points of view toward how they would spend their money. We gathered all the data and we came to a consensus where we do care about price but our willing to pay more comes into amenities and depending on location. Focusing on the quantitative part of our project we noticed there was not a lot of significance in our cross tabulation tests. We feel however with additional data and resources it could be a correlation with certain variables. The data we received by the thirty college students showed many interesting points that were made apparent in our final research. As a group we came together to decide what would be significant to put into the project and were happy by the data and the progress we made in the project.