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Education Level and Political Party

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Education Level & Political Party…A Conspiracy That Reaches to the Highest Levels of Our Government? A Statistical Investigation By Matt, Katelen, Anna, and Drew A Description • We were interested in political preference and education level. • We also collected extra data on age level Experimental Design • Randomly selected a number 1-350 – Split page into approx. 21 groups of 20 numbers – Selected another random number 1-21 to get sample. Survey • Script for Survey: ―Hi, I am from Ferris High School and am conducting a survey for my statistics class. Would you like to participate?‖ Survey (Cont.) 1. Of some high school, high school graduate, some college, 2 yr. Degree, 4. Yr. Degree, Masters degree or a Doctorate Degree, what is the highest level of education you have completed? 2. With which political party—democratic, republican, or other—do you consider yourself associated? 3. Which age group are you in? ~ 18-30 ~ 31-43 ~ 44-56 ~ 57+ Data Analysis •In order to analyze data, we had to further stratify some of the categories. •Education level was split into low ( groups 1, 2, 3) and high ( groups 4, 5, 6, 7). •Age group was split into young (18-43) and old (44+). Data Dem. Low Ed. 5 Rep. 10 Total 15 High Ed. 14 Total 19 Dem. 17 27 Rep. 31 46 Total Young Old Total 7 12 19 12 15 27 19 27 46 Interesting Charts Education Level/ Political Party 18 16 14 12 10 8 6 4 2 0 Dem Rep Low Ed. High Ed. More Interesting Charts Age/ Political Party 16 14 12 10 8 6 4 2 0 Dem Rep Young Old Confidence Intervals 1 prop. Z-int: Democrats w/ high education c = .99 47.6% - 99.7 1 prop. Z-int: Republicans w/ High education c = .99 36.9% - 84.4% 1 prop. Z-int: Old Democrats c = .99 34.6% - 91.6% 1 prop. Z-int: Old Republicans c = .99 30.9% - 80.1% More Data Analysis Because all counts are greater than 1 and less than 20% of counts are less than 5, Chi-squared procedures are reasonable to test education level against political party preference. Is there an association between political party and education level? Chi-sq. Test of Independence X² = .5833 -Fail to reject the null. p = .4450 Data Analysis…Again Because all counts are greater than 1 and less than 20% of counts are less than 5, X² procedures are reasonable to test political party preference against age. Does an association exist between age level and political party preference? Chi-sq. Test of Independence X² = .2658 Fail to reject the null. p= .6061 Conclusions •Both p-values were well above the significance level of .05. •There is not enough evidence to suggest an association between education level and political party preference. •There is not enough evidence to suggest an association between age and political preference. •Response bias is always an issue, but because we properly incorporated randomization into our study, that bias should have been accounted for. •Originally expected a strong association between in both instances.

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