StatCrunch logo (home)

Report Properties
Thumbnail:
Owner: kadams120
Created: Jul 27, 2015
Share: yes
Views: 1171
Tags:
 
Results in this report
 
Data sets in this report
 
Need help?
To copy selected text, right click to Copy or choose the Copy option under your browser's Edit menu. Text copied in this manner can be pasted directly into most documents with formatting maintained.
To copy selected graphs, right click on the graph to Copy. When pasting into a document, make sure to paste the graph content rather than a link to the graph. For example, to paste in MS Word choose Edit > Paste Special, and select the Device Independent Bitmap option.
You can now also Mail results and reports. The email may contain a simple link to the StatCrunch site or the complete output with data and graphics attached. In addition to being a great way to deliver output to someone else, this is also a great way to save your own hard copy. To try it out, simply click on the Mail link.
Kendall Adams
Mail   Print   Twitter   Facebook

In this survey, I will study all students currently attending college who are between ages 18-22 and drink alcohol.
The paremeter I would like to investigate is the mean number of days college students are drinking alcohol per week.
 To this end the following survey will be distributed to collect data about the above population and parameter:
1. Are you between the ages of 18-22 and attend a college or university?

2. What is your gender identity? 

3. Do you live on a school campus or at home? 

4. Do you drink weekly?

5. How many days a week do you drink?

I believe that the mean number of days per week that current college students between ages 18-22 drink alcohol will be greater than 1. 

 The sampling method I used to collect my data was convenience sampling. I distributed my survey via social media (Facebook and Twitter) and text message to gather the results quickest. This way it also allowed individuals to anonymously choose if they wanted to take it or not. 

Link to my survey: http://www.statcrunch.com/5.0/survey.php?surveyid=11858&code=SZHYO 

Questions 1, 2, 3, and 4 all involve qualitative data. The data consists of values that can be placed into nonumerical categories. These 4 questions are measured at the nominal level because the data consists of names or labels and cannot be ranked or put into any type of order.

On the other hand, question number 5 is qantitative because it consists of values representing counts or measures. It is measured at the ratio level because the ratios and intervals of the data is meaningful and involves a true zero point. 

My parameter question asked participants if they were between the ages of 18-22 and attend a college or university. Out of the 34 results that I collected, 34 answered yes to this question. The proportion then is 1 or 100% of participants are between the ages of 18-22 and attend a college or university. The standard deviation for my claim, or the number of days per week that students between ages 18-22 who attend a college or university drink, is 1.2 and the mean is 1.9. My results show that the data I collected will be very useful because the total population of individuals who took my survey were in the category I was looking for.

 

I believed that the mean number of days per week that current college students between ages 18-22 drink alcohol will be greater than 1. My null hypthesis is that the mean number of days per week that current college students between ages 18-22 drink alcohol will be equal to 1. My alternative hypthesis would be that the mean number of days per week that current college students between ages 18-22 drink alcohol will be greater than 1. I will have to conduct a right-tailed test because the claim to my alternative hypothesis is greater than 1. The sample statistic for this test is 1 or 100% because 34 out of the 34 participants who took the survey answered yes to the first question. Since 34 out of 34 participants were qualified for my survey, I will use a normal distribution. 

 

The z score is -0.1. I found this by using the equation (1-1.9)/(1.2(sq.root of 34)). After looking at the P-value chart on page 446, I foud that this give me a p value equal to .4602. z= -0.1; p=.4602. Since p>.05, I fail to reject the null hypothesis. 

 

My claim that states the mean number of days per week that current college students between ages 18-22 drink alcohol will be greater than 1 ended up being correct. My final results show that the mean number of days per week that current college students between ages 18-22 drink alcohol is 2.  

 

 

Result 1: Bar Plot drinking habits - days per week   [Info]
Right click to copy

Result 2: Pie Chart Gender   [Info]
Right click to copy

Result 3: Bar graph living and drinking habits   [Info]
Right click to copy

Result 4: main parameter graph   [Info]
Right click to copy

Result 5: Frequency Table - Days per Week   [Info]
Frequency table results for Days per Week:
Count = 34
Days per WeekFrequencyRelative Frequency
040.11764706
180.23529412
2110.32352941
380.23529412
430.088235294

Result 6: Frequency Table - Drinking Habits   [Info]
Frequency table results for Drinking Habits:
Count = 34
Drinking HabitsFrequencyRelative Frequency
No90.26470588
Yes250.73529412

Result 7: Frequency Table - Living   [Info]
Frequency table results for Living:
Count = 34
LivingFrequencyRelative Frequency
Home130.38235294
School Campus210.61764706

Result 8: Frequency Table - Gender   [Info]
Frequency table results for Gender:
Count = 34
GenderFrequencyRelative Frequency
Female270.79411765
Male70.20588235

Data set 1. Responses to College Drinking   [Info]
To analyze this data, please sign in.

HTML link:
<A href="https://www.statcrunch.com/5.0/viewreport.php?reportid=50604">Kendall Adams</A>

Comments
Want to comment? Subscribe
Already a member? Sign in.

Always Learning