The purpose of our group’s study is to identify different amounts of students’ weekly expenses throughout their study in the university. Our group is interested to conduct data collection for this particular topic because we would like to observe the difference of the expenses management between students that has a loan and students without a loan. Several parameters have been used throughout the data collection process using questionnaires and surveys which are loans, allocation on foods, mobile needs, personal needs, books and etc. Variables that are measured are mostly the amount of money used for each type of allocation.
DATA ANALYSIS
NUMERICAL
- Foods
- Transportation
- Books & Stationery
- Personal expenses
- Mobile phone bills and utilities
Categorical
- Gender
- Loan
NUMERICAL – FOODS
Mean = 10.0
Median = 7.50
Minimum data = 4.00
Maximum data =21.00
NUMERICAL – TRANSPORTATION
Mean = 13.33
Median = 13.00
Minimum data = 3.00
Maximum data =24.0 0
NUMERICAL – BOOKS & STATIONERY
Mean = 13.33
Median = 11.00
Minimum data = 5.00
Maximum data =24.0 0
NUMERICAL – MOBILE BILLS AND UTILITIES
Mean = 13.33
Median = 13.00
Minimum data = 4.00
Maximum data =23.00
NUMERICAL – PERSONAL EXPENSES
Mean = 13.33
Median = 11.00
Minimum data = 1.00
Maximum data =28.00
CATEGORICAL – LOANS
Mean = 20.00
Median = 20.00
Minimum data = 14.00
Maximum data =26.00
CATEGORICAL – GENDER
Mean = 20.00
Median = 20.00
Minimum data = 15.00
Maximum data =25.00