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Signature Assignment - A good example for what the teacher is looking for
Statistical Methods I (MAT 152)
Central Piedmont Community College
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I am investigating which brand of chips people would most likely eat and spend the most on. I picked this survey topic because it is fun to see how much people love chips. My survey questions are: 1 is the chip brand you are most likely to buy? 2 many bags of chips do you eat weekly? 3 much do you think you spend on a bag of chips monthly? I condition my survey by asking my classmates those three questions and collecting the data from their responses to the questions. I left 4 responses out because I already had 30 responses. I believe this survey is biased because asking a person what they would most likely buy means they possibly are thinking about their favorite brand, not necessarily what other people would most likely would buy in the whole population. Conclusion PART A:(qualitative data) ● In all three of the charts lays are shown to be the mode of the brand of chips ● What surprised me the most was about my data lays being the brand that people would most likely buy while I thought cheetos would be the brand people would most likely buy
Conclusion PART B:( one qualitative data)
● The mean for the how much people eat eat weekly is 1. The median Value is 1 ● Since the mean is greater than the median the data set is screwed right. ● The biggest outliers was the dorites brand and one of the respones says 6 and 10 bags of chips eaten weekly while most of the responses was the lowest was 1 and the max of chips eaten weekly was 3 bags of chips. These values are above the lower and Upper fence. It was supsrising to find out people eat so many bags of chips weekly.
Conclusion for PART C (regression analysis): ● I used eaten weekly as my explanatory variable and the spending monthly as my response variable ● Based on the scatter plot and that r=0 the is a positive correlation ● My least-squares regression line is y= 1+4. ● The slope of 1 means that there is an increase of what people spend on bags of chips monhtly so we expected an increase on the amount of spending ● The y-intercept of 4 is showing how much people are eating a bag of chips weekly ● What I found interesting was that how much people eaten weekly does not necessarily correlate to how much they spend on chips monthly ● What I expect to happen in future is people would spend more money on chips as the months goes by. Conclusion for PART D
- Eaten weekly as my explanatory variable and the spending monthly as my response variable
- The equation of the regression line is y= 1+4.
- The correlation coefficient is 0 and it is significant because it is a linear correlation and more thna the critical value n=0.
- Based on the slope and y inercpect we expect a increase of the amount spend on chips and how many bage people eat weekly.
- What I would do differently is find a better correlation to how much people spend on a bag of chips monthly and ask a better non biased question
Signature Assignment - A good example for what the teacher is looking for
Course: Statistical Methods I (MAT 152)
University: Central Piedmont Community College
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