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Created: Jul 28, 2014
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Music listening survey
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John Huck


Proportion of college students who like country music is more than 60%


Are you currently a college student? 


-This survey question served the purpose of the type of population that I was asking, which was parametric (parameter). For example it could not have been a college student or it could be someone that graduated so it gave a wide variety of choices. The level of measurement that is gathered by this question is nominal because it’s labeling the respondents by them being either a student or not.


Do you listen to music?


-What this question was for is to serve the demographic part of my survey. This is also a parameter type of data because I am doing a measurement describing the population question. This type of measurement is a nominal level because it’s listed as a category of responses to whether or not they do or do not listen to music.


What is your gender?


-Again this question also was a demographic for the survey and was a more of a categorical type of data because it was asking what gender the respondent was to see which gender group listened to country music more. The Measurement type is an ordinal level due to the fact that it can be arranged but the data value is meaningless just because I am asking about gender for demographic purposes.


How many hours do you usually listen to music per day?


-Now with this survey question, it helped for the topic of the survey which is music listening. For this question it is quantitive data for the simple fact that it consists of numbers representing the measurement of hours that the respondent listens to music. So the level of measurement for this survey question is a ratio level and the reason for that is because it has a natural zero starting point and it has differences between the hours someone listens to music that is useful.


Do you like country music?


-Lastly with this survey question it helps serve the main purpose of my survey to help answer my claim. The type of data for my last topic question is that it’s a categorical. Reason why it is categorical is because it has no numbers to represent but it helps determines the proportion of people who listen to country music. Also the level of measurement gathered by this question is ordinal because it’s just a simple yes or no response and helps categorizes who listens to a specific genre of music which is country.


The sampling method that I used for this survey is simple random. It was simple random because I put my survey out in a group base for classmates to respond and that they could get to it easily and it would be totally random so I would have no idea who responded and when. So it helped gather data easily and also simple

Data set 1. Responses to Music Listening (Redo #1)   [Info]
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How I got my proportion calculated was I took the amount of “Yes” responses of people who listen to country music and divided it up by the total number of respondents to get the proportion of 0.31. Then after that I calculated the Standard deviation by using the sample proportion formula and got 0.0771 which rounded up would be 0.1. From what I gathered in this data it tells me that my claim was technically wrong.

Result 1: Frequency Table (Demo #2) Music   [Info]
Frequency table results for Demographic:
Demographic Frequency Relative Frequency
Female 23 0.63888889
Male 13 0.36111111

Result 2: Frequency Table( Main topic question)   [Info]
Frequency table results for Topic:
Topic Frequency Relative Frequency
No 13 0.36111111
Sometimes 12 0.33333333
Yes 11 0.30555556

Result 3: Bar Plot With Data (Demo #2)   [Info]
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What my demographic graph illustrates is that most of the respondents answering this survey are college students so I am getting good raw data for this survey and the graph shows it.

Result 4: Bar Plot With Data(Main Topic Question Graph)   [Info]
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Now what my topic graph illustrates is one of the main parts of my data which is how many hours of music does one listen too. This helps me determine if people actually listen to music.

Result 5: Grouped Graph (Demographic w/ hours of music listened)   [Info]
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My combination graph shows both my demographic and topic data. Now what it shows is that the people who responded “yes” to listening to music obviously listen to it for a longer time period versus those who do not listen to music don’t even listen to it for that long or even anytime of the day at all.


Hypothesis Test:


Claim: Proportion of college students who like country music is more than 60%


Hn (null) : The proportion of college students who like country music is less than 60%


Ha(alt) : Proportion of college students who like country music is 60%


The type of test that I will have to perform is a right tailed test. Reason for that type of test is because the critical region for data is on the extreme left.


The sample statistics that I calculated was the sample proportion, and the standard deviation. How I got to these numbers (sample propà0.31, standard deviationà 0.0771; 1) was by collecting the amount of yes responses to my topic question and dividing that by the total amount of participants to get the sample proportion. Then I used the formula for the sample proportion to get my standard deviation.


So how I calculated my test statistic was by using the sample proportion and using a 0.05 confidence level then divided it by the square root of one subtracted by the confidence interval divided by the number of people (the sample n=36).


Here’s the work à (0.31-0.5)/ Square root (0.5(1-0.5)/36 = 2.28.


We have to fail to reject the null hypothesis due to the fact that the sample proportion is less than 60% and that it is not the true value of 60%.


So what we can conclude about my claim is that more than 60% of college students do NOT like country based on the data gathered from this survey.


Writing this survey was a pretty easy process just trying to figure out the claim I was trying to make was a bit difficult. Reason for that is because you did not want to be too narrow or just make it towards one audience. Now gathering the data was not as bad as I thought it could have been. Just waiting for the responses and making sure that I had the right amount of useful ones was kind of tricky but I got through it. But using the graphs was a cool feature to use considering it makes all the gathered data look neat and wrapped into one page rather than all over.


Now with the statistics for this data, it seemed not right at first but then once you kept messing around with it to get it right then it made more sense. I don’t really care for the hypothesis testing part of it but it was interesting to see whether or not if my claim was right and by making a null and then alternate hypothesis it help show if I was right which sadly I was not. I was actually kind of surprised at the fact that not a lot of college students do not like country music because that’s all I hear about is that it’s their favorite genre of music. Guess not for college students. If I had to do the project over again I would definitely make a different survey topic because I thought mine wasn’t interesting and my results kind of proved it. Also what I would do is make the survey questions just two answers and not have the “sometimes” answer.


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<A href="">Music listening survey </A>

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