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Spending Survey

Spending Survey. + ivan krasnov. ::What Was This About?::. This was a survey asking students how much they spent on their personal appearance, while asking other such important data like GPA, how much they earn, etc. The people surveyed were Deering High School Students.

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Spending Survey

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  1. Spending Survey + ivan krasnov

  2. ::What Was This About?:: • This was a survey asking students how much they spent on their personal appearance, while asking other such important data like GPA, how much they earn, etc. • The people surveyed were Deering High School Students. • Essentially, I asked random people of different races and ages to fill out a survey.

  3. ::Who Was Surveyed?:: • 42 Females, 44 Males • 11 Asian, 11 African/African-American, 3 Hispanic, 61 Caucasian.

  4. Means of Ages and GPA’s • Mean Age: 16.5, St. Dev of: .92 • Mean GPA: 89.14, St. Dev of: 5.4

  5. ::GPA_Histogram::

  6. ::The Results_Males:: • Mean That Males Earned Per Week: 104$ • Mean That Males Spent on Themselves TOTAL : 345$ • Mean That Males Spent on Shoes: 76$ • Mean That Males Spent on Jewelry: 89$

  7. ::The Results_Females:: • Mean That Females Earned Per Week: 87$ • Mean That Females Spent on Themselves TOTAL : 380$ • Mean That Females Spent on Shoes: 85$ • Mean That Females Spent on Jewelry: 80$

  8. From this, it is safe to conclude with a 95% Confidence that the average MALE spent between 301$ to 342$ each month on their personal appearance.

  9. From this, it is safe to conclude with a 95% Confidence that the average FEMALE spent between 327$ to 386$ each month on their personal appearance.

  10. +If I Spend… **If you spend over 336$, then you are in the top 10%.

  11. ::Total Spending:: For Both Genders

  12. ::Correlations?:: Correlation Coefficient: GPA vs. $ Spent On clothes:: -0.130475873 Correlation Coefficient: GPA vs. Allowance:: -0.153888554 Correlation Coefficient: GPA vs. Work Earning:: -0.222607424 Correlation Coefficient: Age vs. $ Spent On Clothes:: 0.196054834 Correlation Coefficient: Age vs. $ Spent On Jewelry:: 0.212340023 Correlation Coefficient: Age vs. $ Spent On Haircuts:: 0.209423139 Correlation Coefficient: Age vs. Work Earning:: 0.447001811 Correlation Coefficient: Work Earnings vs. $ Spent on Clothes:: 0.139010895 Correlation Coefficient: $ Spent on Clothes vs. $ Spent on Shoes: 0.607513011 Little to NO CORRELATION

  13. ::Analysis:: • Mean That People Earned Per Week: 95$ • Mean That People Spent On Themselves TOTAL: 341$ Based on the Correlations, we can Conclude that…. All the Stereotypes of the “Well-Dressed” having lower grades is WRONG All the Stereotypes of the Individuals with better grades not caring for their appearance is ALSO WRONG. All the Stereotypes of Individuals with higher allowances spending more on themselves is also WRONG.

  14. ::Comparisons:: Black Females Spend MORE on their Personal Appearance

  15. ::Comparisons:: Black Males Spend MORE on their Personal Appearance

  16. Potential Sources of Error • Since this survey was given out before prom, this could have affected the results because female dresses usually cost more than a rented tuxedo. • I only asked people that were currently at school, and this is probably why all of the GPA’s were so high. • Also, many people could have been dishonest about their GPA’s.

  17. Thank You For Your Attention Please Refer to Mr. Borland

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