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Student Opinion Survey

Student Opinion Survey. AP Stat Final Project by John Graziano Ryan Guthier Lydia Keener. Background. American School System

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Student Opinion Survey

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  1. Student Opinion Survey AP Stat Final Project by John Graziano Ryan Guthier Lydia Keener

  2. Background • American School System • Unlike that in many other countries. Education is primarily the responsibility of state and local government, little standardization. States have great control over what is taught in their schools and over the requirements that a student must. • Some common points: division of the education system into three levels: elementary/primary education, secondary education, and postsecondary/higher education • Grade point average, why do we use it? • GPA ensures that a student’s performance is easily understood by the many other institutions around the world that rely on GPA in the assessment of the performance of students. GPA allows you to keep track of your performance throughout your degree program. This will enable your faculty to identify your academic needs and provide advice and guidance. • Average SAT score in the country is 1511 • 71% of students graduate high school • 68.1% of 2010 high school graduates were enrolled in colleges or universities

  3. Description of Project • We wanted to see whether there is a relationship between certain variables like academic performance, school type, and gender versus opinions about school and aspects of your education • Created a survey asking a number of questions about school performance and opinion • Conducted from 5/27 – 6/1 • Posted survey on Facebook on different academic pages • College pages of three group members • General facebook status • 168 people responded to our survey • 56 people chosen with systematic procedure

  4. Procedure • While it was a voluntary response survey, we only took every third piece of data • This made it a systematic random sample • Ensures randomness and sample

  5. Student Opinion • Our population is high school students in the country • Opinion of school was measured in: • Enjoyment • How well school educated you • Personal connection with teachers • Usefulness of schooling • Preparedness for post-high school life

  6. Student Opinion Cont. • Academic Performance was measures in: • SAT scores • GPA (weighted) • ACT scores • Grad school or not • # of AP/Honors courses • Special Awards of Achievements

  7. Distribution by Gender 66.1% 33.9% Voluntary Response Bias created discrepancy in gender, females more likely to voluntarily take our survey

  8. Distribution by Age 71.4% • 98% of people in 17-18 range indicates successful focus on outgoing high school students 26.8% 1.8%

  9. Distribution by State 39.286% 16.071% 12.5% 5.357% 3.571% 3.571% 3.571% 3.571% 1.786% 1.786% 1.786% 1.786% 1.786% 1.786% 1.786% Cleary PA was highest proportion, however around 60% of our data was from other states all over the country.

  10. Distribution by Public/Private High School 73.21% • Fairly accurate distribution of public vs. private (actual is 63% public, 37% private) 26.79%

  11. Distribution by SAT score • Center at 1800-2000 • Unimodal, symmetric • Small spread with most data above 1600

  12. Distribution by ACT score • Center at 28, left skewed, unimodal • Gap at 31 • Wider spread than SAT scores • Range- 22-32 • IQR: 6 • Mean- 28.3667 • Min- 22 • Q1-26 • Median- 28.5 • Q3- 32 • Max- 34 • Standard Deviation of 3.508

  13. Conclusions about Population • People who responded to the survey were in general relatively smart (3.8 GPA, around 1800 SATs). More females took this survey than males, because voluntary response, females were more willing to answer survey. Around 40% of respondents are from PA, but survey included people from 15 states all around the country. Also, around 70% of respondents attend/attended public school. This sample likely produced similar results due most people beings from our group members’ 3 colleges.

  14. “What is your weighted GPA?” mean = 3.83344 min = 3 Q1 = 3.7 median = 3.87 Q3 = 4.001 max = 4.36 s = .306222 Unimodal, symmetric, Mean of 3.833. Two outliers below 3.2. Range of 3-4.36 including outliers. IQR: .301

  15. Goodness of Fit Test for Distribution of GPA Ho: Observed distribution of GPA’s fits expected distribution of GPA’s Ha: Observed distribution of GPA’s does not fit expected distribution of GPA’s State & Check • 1. GPA range is categorical • 2. Assumed representative and systematic random sample • 3. All Expected Counts ≥ 5 • 1. Categorical Data • 2. SRS • 3. All Expected Counts ≥ 5 Conditions Met –χ2 distribution – χ2 GOF Test

  16. Work x2 = ∑ (obs-exp)2/ exp x2 = ∑ (7-18.66)2/ 18.6 + (31-18.6) 2 / 18.6. . . x2 = 15.46 df= 2 P(x2 > 15.46) = .00044 We reject the Ho because p-value of .00044 is less than the alpha of .05. We have sufficient evidence to conclude that the Observed distribution of GPA’s does not fit expected distribution of GPA’s

  17. “Have you received any scholarships” 73.2% 26.8%

  18. 1. Categorical Data 2. SRS 3. All Expected Cell Counts ≥ 5 Chi-Squared Test for IndependenceGender vs. Scholarships Ho: Gender and receiving scholarships are independent of each other Ha: : Gender and receiving scholarships are not independent of each other State & Check • 1. GPA range and school enjoyment are categorical • 2. Assumed representative and systematic random sample • 3. All expected counts ≥ 5 Conditions Met –χ2 distribution – χ2 Test for Independence

  19. Work x2 = ∑ (obs-exp)2/ exp x2 = ∑ (12-10.6)2/ 10.6+ (25-26.4) 2 / 26.4 . . . x2 =.7966 df= 1 P(x2 > .7966) = .37 We fail to reject the Ho because the P value of .37 is greater than the alpha of .05. We have sufficient evidence to conclude that gender and receiving scholarships are independent.

  20. “Do you think you will be close with the friends you’ve made in high school in 10 years?” 68.75% 31.25%

  21. 1. Categorical Data 2. SRS 3. All Expected Cell Counts ≥ 5 Chi-Squared Test for IndependenceGender vs. Closeness to High School Friends Ho: Gender and being close with your high school friends in 10 years are independent of each other Ha: Gender and being close with your high school friends in 10 years are not independent of each other State & Check • 1. Gender and close with friends or not is categorical • 2. Assumed representative and systematic random sample • 3. All expected counts ≥ 5 Conditions Met –χ2 distribution – χ2 Test for Independence

  22. Work x2 = ∑ (obs-exp)2/ exp x2 = ∑ (10-11.2)2/ 11.2 + (27-25.8) 2 / 25.8 . . . x2 =.572 df= 1 P(x2 > .572) = .45 We fail to reject the Ho because the P value of .45 is greater than the alpha of .05. We have sufficient evidence to conclude that gender and being close with your high school friends in 10 years are independent

  23. “How much do you enjoy school?” 48.8% 34% 17.2%

  24. 1. Categorical Data 2. SRS 3. All Expected Cell Counts ≥ 5 Chi-Squared Test for IndependenceGPA vs. School Enjoyment Ho: GPA and school enjoyment are independent of each other Ha: GPA and school enjoyment are not independent of each other State & Check • 1. GPA range and school enjoyment are categorical • 2. Assumed representative and systematic random sample • 3. All but one ≥ 5 Conditions Met –χ2 distribution – χ2 Test for Independence

  25. Work x2 = ∑ (obs-exp)2/ exp x2 = ∑ (3-3.4)2/ 3.4+ (17-14.9) 2 / 14.9 . . . x2 =2.03 df= 4 P(x2 > 2.03) = .73 We fail to reject the Ho because the P value of .73 is greater than the alpha of .05. We have sufficient evidence to conclude that GPA and How Much you enjoy school are independent.

  26. “What type of schooling have you received?” 73.21% 26.79%

  27. Chi-Squared Test for Independence • Public/Private HS vs. School Enjoyment Ho: Public and Private School attendance and school enjoyment are independent of each other Ha: Public and Private School attendance and school enjoyment are not independent of each other State & Check • 1. Type of school and school enjoyment are categorical • 2. Assumed representative and systematic random sample • 3. All but one cell count ≥ 5 1. Categorical Data 2. SRS 3. All Expected cell counts ≥ 5 Conditions Met –χ2 distribution – χ2 Test for Independence

  28. Work We fail to reject the Ho because the P value of .51 is greater than the alpha of .05. We have sufficient evidence to conclude that : Public and Private School attendance and school enjoyment are independent of each other • x2 = ∑ (obs-exp)2/ exp • x2 = ∑ (20-18.3)2/ 18.3+ (7-8.7)2 / 8.7 . . . • x2 =1.364 df= 2 • P(x2 > 1.364 ) = .51

  29. Overall Conclusions • In all of our tests, we didn’t find a correlation between any measurements of academic ability or other variables and opinions about school or aspects of your education. We believe that most of the survey respondents were fairly similar in nature and therefore, we did not find major differences in the answers. This is due to common mediums used to obtain responses (our college facebook groups and facebook statuses). We would have liked to have surveyed a more diverse sample of students that would give us more results to analyze. If possible, we would like to reach people through other places, rather than relying only on facebook.

  30. Applications to population • Based on our data, high school students’ academic ability does not have an impact on your enjoyment of school or your opinions of school. Also, your gender does not impact your achievement in school or opinions of school. Therefore, we think students should not worry about the factors that impact their academic careers, and focus more on you as an individual and your goals. Basically, we can say that all students have the power to achieve at the highest level, and regardless of your opinions or enjoyment of school, you can be successful.

  31. Bias and Error • Voluntary response bias- Our data reflected a discrepancy in gender • Significant amount of George Washington University students responded • Not so much University of Pittsburgh or James Madison University • The three schools are not an adequate representation of college-bound seniors • Under coverage bias- Not everyone has Facebook • Of those who have Facebook, some people may not be ‘friends’ with us, therefore where not exposed to the survey

  32. Bias and Error cont. • People have different scales for weighted GPA in other states • Some posted their GPA’s as a percent, we converted them in order to have uniform data

  33. Everybody Stand Up!! • If you have a Facebook, go to the right side of the room, if not go to the left side of the room • Of those who have Facebook, if you are not friends with any of us three, go to the left side of the room • If you did not check your Facebook between 5/27 – 6/1, go to the left side of the room • Those who remain on the right side of the room, you were possible subjects, and it was up to you to respond • Those on the left, you represent our under coverage bias

  34. You have questions? We have answers!

  35. Bibliography • “The American School System.” Heildenburg. N.p., n.d. Web. 6 June 2011. <http://www.rzuser.uni-heidelberg.de/‌~el6/‌presentations/‌pres_c2_uss/‌TheAmericanSchoolSystem.htm>. • We used this to gather background on the America Education System and Grade Point Averages • “College Enrollment and Work Activity of 2010 High School Graduates.” Bureau of Labor Statistics. N.p., n.d. Web. 6 June 2011. <http://www.bls.gov/‌news.release/‌hsgec.nr0.htm>. • We used this to determine how many students go to college after high school. • Facebook. N.p., n.d. Web. 6 June 2011. <http://www.facebook.com>. • We used facebook in order to spread our survey to studenents around the country through our college groups. • “High School Graduation Rates in the United States.” Manhattan Institute. N.p., n.d. Web. 6 June 2011. <http://www.manhattan-institute.org/‌html/‌cr_baeo.htm>. • This site allowed us to know how many high schoolers graduate. • “http://www.infoplease.com/‌ipa/‌A0883611.html.” Info Please. N.p., n.d. Web. 6 June 2011. <http://www.infoplease.com/‌ipa/‌A0883611.html>. • We used this site to gather average SAT scores. • Survey Gizmo. N.p., n.d. Web. 6 June 2011. <https://appv3.sgizmo.com/‌login/‌v1>. • This was the site used to take our survey. It allowed us to collect our data and export it to fathom.

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