Soc – Concluding our Survey

Take a look at your data and prepare to share 3 charts that you created. Tell us what your predictions were and how the results actually came out. What can you tell someone about Riceville’s culture. In the responses please share your thoughts.


22 thoughts on “Soc – Concluding our Survey

  1. The chart for your favorite season V.S. fast food will show you that people who like summer also like McDonald’s and Subway. Favorite season V.S. College would tell us a lot about Riceville students because most Riceville students that are planning on going to college like summer. I also think that the favorite season V.S. favorite kind of truck chart would tell people that people who like summer also like Chevy trucks more than any other brand.

  2. I had the results with gender. What I believed was very surprising, was to see that girls did not support abortion. That is very mind-bottling to me since that is the girl’s body and what if they don’t want the baby from a teen pregnancy. Men around here are extremely against same-sex marriage by doubling the “yes” counts. I am not surprised by this because we are not used to seeing it as much as other people from bigger cities. I have noticed that women are also in far more extracurricular activities than men. Women in this area must like being apart of this smaller school.

  3. 1. When I compared Favorite Fast Food to Political Party, I found that if your favorite restaurant is McDonalds, there is a good chance that you are a Republican. I predicted that that Democrats would like McDonalds more. People in this area who like McDonalds are very likely to be Republican.

    2. When I compared Favorite Fast Food to What Percentage of the Riceville community falls under a drug or alcohol problem, I found that if you believe 10% of the community or less has a problem, they most likely pick Subway as their favorite fast food restaurant. This was about the complete opposite of what I predicted. Maybe this says that the people who don’t feel that we have much of a problem and healthier than the rest of the community.

    3. When I compared Favorite Fast Food to Is NASCAR a sport, I found that if Taco Bell is your favorite fast food, you probably don’t feel that NASCAR is a sport. This is similar to what I predicted. This could show that people who like Taco Bell have different interests and pastimes, and don’t feel that NASCAR is a sport.

  4. Before the survey was taken, I predicted that the lower the age, the less extracurricular activities one will be in. From the survey, I found out that it is kind of even. The 17 year olds were the highest in both the 0 column and the 18 column. The 18 year olds were the highest in the 0 and 1 columns while they went down through columns 2-5+. Overall the age does not have an effect on one’s choice of participating in extracurricular activities.

    I also predicted before the survey that more females participate more in extracurricular activities than the males do. From the survey, It shows that the females were the highest in the 3-5+ columns, while the males were the highest in the 0-2 columns. Overall Females are in more extracurricular activities than males are.

    The last prediction that I made, was that I predicted that the higher the grade, more extracurricular activities one will be in. “A” students were the highest in the 2-5+ columns. However, the graph also showed that the “B” students were the top of the 0-1 columns. So the grades really don’t really affect whether one is in extracurricular activities or not.

  5. Age Vs. How many sports you are in?
    My hypothesis was that 17 and 18 years olds would be in less sports that those people that are younger. I found that 17 year olds are most likely to be in just two sports. I also found that 15 and 16 year olds are most likely to be in three or five plus. This makes sense because usually the freshmen and sophomores go out for more sports than juniors and seniors because they realize they don’t like them anymore when they get older.

    Age Vs. Political Party
    My hypothesis was that age wouldn’t really affect your political party. I found out that age does effect your political party. The results showed that 17 year olds were more likely to be republican. Eighteen year olds were the only ones to not be republican, democrat, or independent and had some people reply with other.

    Age Vs. Average Grade
    My hypothesis was that juniors and seniors or 17 and 18 year olds would have a higher average grade because they were either taking mostly easy classes or they cared about their grades more to prepare themselves for college. The results showed that 17 year olds were more likely to have an “A” as their average grade. It also showed that 15 year olds were the most likely to have either a “B” or “C” for an average grade. I also found that 16 and 18 year olds were more likely to have a “B” for an average grade.

  6. Income vs. Religion
    I thought if you were Lutheran, Catholic or Methodist you would be more in the upper middle or upper income class ranges. I found that the majority of Catholics are in the middle income class range and the majority of Lutherans are in the upper middle income class range and the majority or Methodists are in the upper middle income class range.

    Income vs. Is NASCAR a sport?
    I thought if you said NASCAR was a sport that you would be more in the Upper Middle and Upper income class range. If you said that NASCAR was not a sport then you would be in the Middle, Lower Middle and Low income class. I found that the majority in all of the income classes say that NASCAR is a sport but a lot of people also say that it is not a sport. In all of the class incomes there is not a really big difference.

    Income vs. Average Grade
    I thought if you were in the Upper and Upper Middle income class you would either have an A or B. If you are in the Middle and Lower Middle income class then you might have a B or C. If you are in the Low income class you could either have C, D or F. I found if you are getting an average grade of A you are in the middle income class. If you have a B you are more in the upper middle or upper income class ranges. If you have a C you are in the middle income class range.

  7. Religion vs income class
    My hypothesis was that Catholics, Methodists, and Lutherans in Riceville would fall under the Upper Middle Class. I also thought that Non-denominational and other Christians would fall under the Middle Class and that people with no religious affiliation would be in the low class.
    However, the survey showed the majority of Catholics and Non-denominational fell under the Middle Class. Methodists and Lutherans fell under the Upper Middle Class. Other Christians were pretty much equal in all the classes.

    Religion vs same sex relationships
    My hypothesis was that Riceville Catholics and Non-denominational majority would no support same sex relationships. I also thought that Methodists and Lutherans majority would have no opinion, and people with no religious affiliation and other Christians would support same sex relationships.
    The survey showed that my hypothesis was correct for Catholics and non-denominational; they do not support same sex relationships. A majority of Lutherans, however, support same sex relationships. All people who are non religious affiliated support it. Other Christians are tied with not supporting it and having no opinion.

    Religion vs Average Grade
    I predicted that Riceville Catholics and non-denominational would get an average grade of an A to a B. I thought Methodists, Lutherans, and Other Christians would get an average grade of a B. I also thought people that have no religious affiliation would get an average grade of a C.
    In the survey, a majority of Catholics, Lutherans, and Other Christians get an average grade of an A and B. Methodists and Non-denominational get an average grade of an A. People that have no religious affiliation get an average grade of a C.

  8. Grades vs. Age
    Predominately people at the age of seventeen, who attend Riceville High School, receive A’s. Those receiving B’s are spread out pretty evenly between the age of fourteen to eighteen. Lastly those receiving C’s tend to be between fifteen to sixteen years of age. Before conducting charts and putting statistics together I made predictions for every category. For the most part I was correct in my predictions. I figured most people would receive A’s between the ages of sixteen through eighteen. It turned out that most people received A’s at the age of seventeen. I figured those receiving B’s would be anywhere from sixteen through eighteen, which was accurate, because B was a common grade for that age group. However, I was wrong on the C students. I figured those receiving C’s would be anywhere from fourteen to fifteen. It turned out no body had a C at the age of fourteen, but at the age of fifteen it was common for students to be earning a C grade average.

    Grades vs. Gender
    When you compare grades to gender in Riceville High School it turns out females are receiving better grades. Those students receiving A’s were mostly females, while those receiving B’s and C’s were mostly males. The results turned out as I expected. In my predictions I figured females would most commonly be receiving A’s, while males would be receiving B’s and C’s. In my opinion I think girls tend to try harder in school than males, which explains why those receiving A’s were mostly females.

    Grades vs. Political Party
    After comparing grades to political standings I found that most A students side with the Republican Party. Those receiving B’s are either Republican, democrat, or independent, and those earning C’s are spread out equally across the board. I didn’t expect to see these results. I hypothesized that grades wouldn’t impact your political views, however I was wrong. The results clearly showed that grades did impact which political party you supported.

  9. Location Vs. Gender
    Surprisingly when you look at the graph of which gender lives in town, in the country but not on a farm, or on a farm you will find that males live mostly either in town or on a farm. The graph shows that the most females live in the country but not on a farm. My hypothesis was that it would have been about equal for males and females for where they live but I ended up being wrong.

    Location Vs. How many veterans you know
    I was surprised by this because a staggering amount of the kids that live in town only know 1-2 veterans in the Riceville community. I guessed that the number would be much higher because of the number of neighbors you would have plus the daily interaction with the people around town. It surprises me that people in the country that don’t live on a farm and people that live on a farm knew more veterans than the people in town. I think this could be because of the number of relatives that those people have that are still around.

    Location Vs. Job Condition
    I think that my hypothesis on this was the most accurate out of any graph. I think this because most of the people who work that live on farms work around there farm and don’t have another job. That usually means that everything is outside. It also didn’t surprise me that most of the people who lived in town work inside. It makes sense to me because there aren’t many places to work outside in town. The people who live in the country and have parents that work inside and outside also make a lot of sense because they would have the choice of finding a job that is inside or outside.

  10. Political Party vs Income
    When you look at which political party makes more money, you would see that more Republicans make anywhere between $50,000 to $74,000 dollars than Democrats or libertarians would.

    Political Party vs. Religion
    If you were to compare between the Republicans and Democrats, Republicans tend to be either Lutheran or Catholic. Democrats are more Catholic than Lutheran. There are a few people that are Methodist and all that other stuff, but there aren’t very many people.

    Political Party vs. Gay Marriage
    If you look at the graph, more Republican tend to say no to gay marriage more than Democrats would and Democrats tend to say yes to gay marriage than Republican would. The Independent and Liberals are about even on their opinion.

  11. Gender vs. Religion
    Looking at the results I found that in the RIceville High School the males are predominantly Catholic while the females are predominantly Lutheran. These were the results but at the same time I do not at all believe that gender necessarily affects your religion.

    Gender vs. Height
    I found that males are greatly predominant in the 6′ and over category while the majority of the females are in the 5′ 5″ – 5′ 8″ category which is closely followed by the number of females in the 5′ 1″ – 5′ 4″ category.

    Gender vs. Who Works Harder
    I have to say, these results did surprise me a little. I predicted that females would generally choose that women working harder while males would choose that men work harder. Looking at the results it’s obvious that both categories, males and females, believe that it is more equal in who works harder. With that being said, some males still shared their opinion that males work harder while just a few females agreed with them

  12. Religion vs. Income: In this graph, I found that Catholics are more likely to have an income of $50,000-74,000 compared to the Other religions who have more of an income of $0-50,000. The other 4 were pretty even on their income. My hypothesis was that it wouldn’t make a difference on what your income was on your beliefs and I was right in this part.

    Religion vs. Politics: Every religion except for the no religious affiliation is predominantly Republican. The no religious affiliations are mostly democrat. All of the non-denominational people said they were Republican. Other religion was mostly Republican as well. Even though there were some independents and democrats for Catholics and Lutherans, Republican views overwhelm the graph. This doesn’t surprise me because I knew there was a larger Republican standing in the town.

    Religion vs. Gay Marriage: The Lutherans, Methodists, and No religious affiliation all had the majority of yes to gay marriage. All of the methodists and no religious affiliations who took the survey said yes. Catholics, Non-denominational, and other said No to gay marriage. All of the non-denomination people who took the survey said no. This doesn’t surprise me cause the political views pretty much match what their religion is and what they will believe in. You can’t really blame one religion for a view on gay marriage like you see on the news.

  13. Working Conditions vs. Religion
    After I made my chart and graph for this one, I found out that the people who work inside are more likely to be Lutheran. Only one person who works outside is Lutheran. For the Catholics, there were more people who worked outside than inside. People who work both, inside and outside, will probably be Lutheran. That was really shocking because I thought it would be equal, and I thought there wasn’t going to be much difference. My hypothesis that I made was incorrect.

    Working Conditions vs. Height
    I found out that the people who are 5’1″-5’4″ or 5’9″-5’11” work inside. People who are 5’5″-5’8″ are working outside rather than inside. For people who are 6′ and above is about equal. People who work both, inside and outside, would probably be either 5’5″-5’8″ or 5’9″-5’11”. My hypothesis that everything would be equal because I thought there wasn’t going to be much difference since people of any height can work either inside or outside, and I was wrong. I was very surprised by the results.

    Working Conditions vs. Political Party
    I found out that inside people would be a Democrat rather than people who work outside. For being a Republican, you would either be working inside or outside because they were equal. People who worked outside would probably not be a Libertarian. There was only two people that worked inside that were Libertarians. No one is a part of the Green Party, and I thought that was a little interesting. For Independent, they were pretty equal. I thought everyone would be equal, but I was incorrect again. It was interesting to see that there was a big difference.

  14. My predictions were off a little bit i thought that there was more Employed Men than Females but it turns out that it is about equal and that there is the same a mount of men and women works in our community and I thought that there would be a few more unemployed people then there was i noticed that there was only just a few unemployed people in our area which is a very good sign to have that means our community is yet moving and making money

  15. I found that when I compared who works harder to where your parents work that most of the people who think men and women work equally hard have parent that work inside. I also found when I compared political standpoint to who works harder a lot of the people that chose equal for men and women working harder, said that they were republicans. Another interesting graph was when i compared gun laws to who works harder. A majority of the people that said men and women work equally thought that there should be a background check on a person before he or she is able to purchase a gun.

  16. Truck vs. income I predicted that people who like chevy would have a higher income but people who like dodge had higher income.
    Truck vs. nascar I didn’t know who would like nascar more and chevy came out on top.
    Truck vs. sport It came out to about what i thought it would be it was some what even.

  17. 1. When I compared do you support abortion Vs. Religion, I found that Catholics are the once that are most against abortion. I assumed that how it would turn out so my hypothesis was accurate. It was also more likely that if you had no religious affiliation at all that you were more willing to support abortion.

    2. When I compared do you support abortion Vs. How old you are, I found that the 17 and 18 year olds were more against it then the younger kids. I figured that is what would happen, because the younger kids probably don’t care as much about the situation.

    3. When I compared do you support abortion Vs. Gender, I found that it was pretty even with what the male and females thought. I figured that a lot more men would be for it then women, but I was wrong because they were dead even with what the women thought.

  18. 1. Underage Problem vs How old you are : I predicted that the yonder would vote for less problems and the older you get would choose higher problems with drugs. The Data showed what I predicted.

    2. Underage Problem vs Gender : I predicted that both male and female would choose mostly 25% and it came out to be just that. Although other percentages were close.

    3. Underage Problem vs Will you be attending college in the future? I predicted that the people who would go to college would choose 25% drug problem. The graph showed that. 45% was half of 25% for yes and No fell equal for all of the percents.

    The charts show that Riceville mostly thinks that there is a 25% chance of underage drinking problem.

  19. In my data I concluded that most people who chose that they were Republican or Democratic really had no idea.
    One thing that I did not think was going to happen was that Republicans were going to vote yes for abortion and No opinion when their political party is strongly against Abortion. I also found it interesting how most Independents were against Abortion also. The democrats surprised me when they voted no and or no opinion which is one of the main things the political party agrees on today.
    Republicans are major fans of Subway and McDonalds, While Independents are mostly Subway fans also. The democrats surprised me when none of them voted for Taco Bell. Democratic’s generally have higher average grades than Republicans which did not surprise me much. Republicans fell into a lower average grade of average B’s and C’s

  20. Pets vs Parents Working Condition:
    Before I knew the survey results I predicted that children who had parents that worked outside would have 3-4 pets on average and children whose parents worked inside would have 0-2 pets. The survey shows that if a parent works inside, they are more likely to have 0-2 pets. The greater number of pets a person has, the less likely they are to work outside. If a parent works outside, they are more likely to have 8 or more pets than someone whose parents work inside.

    Pets vs Gender:
    I predicted that on average, males would have less pets than females. After the survey was completed, I was able to see that males dominated the 0-2 and 5-7 pet range, while females had more in the 3-4 and 8+ range.

    Pets vs Living Condition:
    The final prediction I made was people who lived in town would have less pets than those who lived in the country, but people who lived on a farm would have the most. The survey showed that people who lived in town or own a farm, typically had 0-2 pets. People with more than 8 pets probably live in the country, but may live on a farm.

  21. I did mine on whether or not students decided to go to college vs. an array of different topics.

    College vs. NASCAR
    I thought that most people who weren’t going to college would think that NASCAR wasn’t a sport. In that aspect I was right. However, I also thought that the majority of those attending college would think NASCAR wasn’t a sport. The yeses were somewhat even, but more of the yeses to college thought NASCAR WAS a sport.

    College vs. Gender
    I predicted that all the people not attending college would be males. I was definitely right about this. All five of the no’s to college were male, just as I had thought. As for the yeses to college, they were pretty even, but the females had a few more yeses than the males.

    College vs. Income Class
    I predicted that most of the people who said no to college would be in the lower income classes and that they thought that they wouldn’t be able to afford it. However, I was dead wrong. Only one person was in the low income bracket who chose no to going to college. The other 4 were either in the middle income class of in the upper classes.

    In closing, it was kind of hard to get any good information from the Are you going to college vs. other things because only 5 people said that they were not attending college. The other forty-some people all said yes, making it challenging to draw any good conclusions.

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