This data was collected using a StatCrunch survey in order to determine how many adults follow at least one professional sports. My survey can be found here.
The questions used in my survey were:
Are you an adult (age 18 or older)? Yes/No
Do you follow at least 1 professional sport? Yes/No
The frequency table below shows that of the respondents, the majority does watch at least 1 professional sport.
Frequency table results for Follow a Sport?:
Count = 31

Do you believe performance enhancing drugs will eventually be allowed in professional sports? Yes/No
The frequency table below shows that approximately two thirds of respondents do not believe performance enhancing drugs will be allowed in the future of professional sports.
Frequency table results for PEDs:
Count = 31

I am a: Male/Female
The frequency table below shows that there was almost an equal number of male and female respondents, but there was 1 more female respondent than male.
Frequency table results for Male/Female:
Count = 31

Select which age range you fall into: 1819, 2029, 3039, 4049, 5059, 6069, 7079, 8089, 9099, 100 or older.
The frequency table below shows that the majority of respondents were in the 2029 age range, with 3039 following behind, then the 1819 range, then the 5059 and 6069 range. The survey showed no respondents from the other age ranges.
Frequency table results for Age:
Count = 31

The pie chart below suggests that the majority of respondents do follow at least one professional sport.
The bar plot below suggests that the majority of male and female respondents do not believe performance enhancing drugs (PEDs) will be allowed in professional sports.
The bar plot below shows that not only were the majority of respondents in the 2029 range, but also of those in that age range, the majority does follow at least one professional sport.
The bar plot below shows that the majority of respondents in each age range believe that performance enhancing drugs will not be allowed in the future of professional sports, except the 1819 age range and the 4049 age range, which only had one respondent who believes performance enhancing drugs will be allowed in the future.
Below you can see the raw data collected during the survey provided for you in a full data table of responses.
Part 3
1. The sampling method I used for this survey was convenience sampling. I posted on Facebook for people to take the survey at their convenience. I also told people at work if they were interested to come see me and I'll ask them the survey questions. I then recorded their answers and filled out the survey myself.
2. The first 4 questions (Are you an adult?, Do you follow a sport?, Performance enhancing drugs allowed?, Are you male/female?) are all questions that require qualitative data answers. The last question (Select which age range you fall into) requires a quantitative data answer.
3. The proportion of adults who watch at least one professional sport according to my survey is 0.645. The standard deviation is 0.086. This information tells me that the majority of my sample population follows at least one professional sport.
4. My hypothesis test is as follows:
a. More than half of the adult population follows at least one professional sport.
b. Ho: p = 0.50 (the null is always equal to the number you claim, in this case 50% or 0.50)
Ha: p > 0.50 (the alternative is either greater than, less than, or not equal to the number you claim)
c. I need to do a righttailed test because I'm looking for the area greater than 0.50.
d. My sample statistics are: p=0.645 s=0.086. For p I added up the number of people who answered that they do in fact follow at least one professional sport, then divided by the total number of acceptable answers. p=20/31. The standard deviation is calculated: p(1p)/n then take the square root. .645(1.645)/31, then take the square root.
e. I will use the tdistribution because the population standard deviation is not known and the sample size is greater than 30.
f. The test statistic is .0001. To calculate this I did z=sample mean  population mean / standard deviation/ square root of the sample size. z=(0.6450.5)/(0.086/square root of 31) This gave me z=9.39. Looking on the zscore table, this value correlates with .9999. Because I am need to do a righttailed test, I need to subtract this number from 1. 1.9999=.0001.
g. I will reject the null hypothesis because the value of the test statistic is very low. This is statistically significant at the 0.01 level, therefore, we can reject the null hypothesis.
h. Because the test statistic is statistically significant at the 0.01 level, we can reject the null hypothesis and claim that more than half of the adult population follows at least one sport.
Picking a topic was one of the hardest parts of this project. I wanted to do something that was less controversial, but still involved ideas that we hear in the news quite frequently. Collecting the data was also a little hard. I posted the link to my survey on Facebook in hopes of getting enough responses to complete the project quickly. I found that with convenience sampling, it's pretty hard to get responses. Maybe if I offered a reward for filling out the survey more people would have responsed. I also haven't lived in Illinois very long, so I don't know a lot of people outside of work. I could have surveyed strangers on the street, but I didn't want to jeopardize my safety. I got the majority of the responses from work associates. I sent an email that I had to complete a survey and if anyone was interested in helping me out, to see me during lunch hours. I didn't go to individuals and ask if they wanted to take a survey on the spot.
Analyzing the data was probably the easiest part of the project. I think the material was pretty straight forward, and having the online text was a great. I actually think picking out which graphs to make and have the visuals make sense was the hardest part about analyzing the data. I wanted everyone to see what I was seeing, but sometimes it gets lost in translation when a graph contains too much information. Looking back, the biggest obstacle was getting people just to respond to the survey. Then when I was facetoface with people, being in a professional environment and talking about performance enhancing drugs, I'm not sure that everyone was completely honest with their answers. I do feel that maybe I would have gotten different responses if the surveys were completely anonymous and were taken privately.
If I had to do this project over again, I would definitely use more questions that asked for quantitative data. It was really hard to analyze and do all of the different graphs and charts when I mainly had qualitative data. I did have the age ranges, but they were ranges, so I couldn't find an exact average age without more information.
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