Changes Made in My Data Analysis Toolbox

Ms. Blanchet, my statistic teacher, have just give us back our Data Analysis Toolbox paper. On my paper, Ms. Blanchet told me I need to add interpretations, inferences, and graphs. So I made a lot of changes to my paper. My paper went from about half a page to more than a page. The first thing I did is that I put my data analysis toolbox in an outline form instead of paragraph form. I also include a section about how the information will be presented. I will give the five-number summary for my data. I will present my information with a histogram and a box plot. I will also include the mean, standard deviation, and outliers (if there is any) for my data. Also, a one-sample t test will be used to infer about the population of tourists. I decided to use a one-sample t test because I have no information on the population, and I have an unknown standard deviation. The t test gives me more variability than a z test, which is just what I needed. Also, at the end I included the question for my project. “How far is one willing to travel to downtown New Orleans?” This website http://home.ubalt.edu/ntsbarsh/stat-data/Topics.htm#rwsaq here really helps me with my data analysis toolbox. It gives me a lot of information about “What is Statistical Analysis?” So according to this website there is four steps for “studying a problem through the use of statistical data analysis. Step One is defining the problem. Step Two is collecting the data. Step Three is analyzing the data and Step Four is reporting the results. So with my data analysis toolbox I am basically finished with Step One and Step Three. I am currently working on Step Two. Hopefully, I will be done with Step Two soon.

Pi Day

Since we have been preparing for our annual Pi Day, we were not able to blog. But anywho,

HAPPY PI(E) DAY EVE !!!

Rubric Feedback

I was browsing through lots of blogs today. Most of the blogs I browse through was in a different language, so I didn’t quite understand what it is about. Luckily, I found a blog that was quite interesting. This is the link http://greentransportandenergy.blogspot.com/. This blog is about green transport and energy. It talks about hybrid cars. It also talks about ways one could make their cars “greener” for the environment. It also have a lot of statistics in there. What I really like about this blog is that it has pictures and data that are related to its subject. The pictures were not random. The pictures help the readers to easily visualize what is being discussed in the blog. So in the rubric, I recommend that there should be something about not just posting random pictures for the heck of it. The pictures need to be related to the subject at hand. If the pictures used are visually interesting, then there will get all the points for awesome pictures.

Also, the blog rubric should includes such things as turning things on time, the number of words require in each blogs, and content. The blogs cannot be totally random. The blogs need to be about the progress of each student’s project. These blogs should be detailed enough so that the reader will know what the student is currently doing. Also, if student do more than expected, then they will be able to receive a higher score or extra points. Also there should include some data about their project in their blogs. In this way the teacher can be sure that the students are doing what they are suppose to be doing and not making things up. Also, the rubric should be very precise in what the teacher wants to see in the blogs of her student.

Yay! I reached about 200 customers!!!!

So over the weekend I was able to ask about another 100 customers where they are from. I got customers from all over the United States from Washington D.C. to California. There were also customers from Singapore, Japan, Taiwan, and Canada! It was an awesome experience. It also help me by being more friendly with my customers, giving a better and caring customer service.

Data Analysis Toolbox

So I am currently making my data analysis toolbox. This toolbox really helps me with my project because it makes me think of all of the aspects of it that I would need. The data analysis toolbox is basically questions about the who, what, when, where, and how of the data. The individuals (the whos) or the objects of my data are the customers that I serve. I will try to get as many customers as I could so I could get a more representative data sets. I hope that I could get around 300 to 350 customers. I already got about 100 customers already. The variables (the what) are how far does a person travels to downtown New Orleans. This variable is in miles. The data was gathered to find out how far does one travels to New Orleans. I want to present this data to the place in charge of Tourism. They could used this data to find out where they should advertise more about New Orleans in order to get more tourists in New Orleans. This data will be gathered from February 23 to March 21 on weekends and holidays(the when). It will be gathered at Cafe Du Monde (the where), a famous coffeestand in downtown New Orleans where there are lots of tourists. It will be gathered by me (the how) while I am waitressing. I will ask my customers where they are from. Since there is no available data for me to compare my results with, I will try to ask as many customers as possible. The data is from an observational study and it is only a sample data.

One particular problem with my data is its reliability. Even though I will have quite a large sample, my sample is not large enough compared to the amount of people that comes into New Orleans. There are thousands of customers that come into Cafe Du Monde every day. So I try to get as many people as possible and hope that my data will be representative enough. Also, my data is not yearlong. Different people come at different times. For example, when there is a big football game, there is a lot of people coming from the states of the football teams. So that there is one biased data. Also depending on what events going on, there are different people coming to each of the events. So I just hope that the data I gathered will not be too biased.

Experimental Design

Question: How far do tourists travels to New Orleans?

Objective: To find out about where most tourists come from.

Subjects: The customers at Cafe du Monde downtown. I will survey as many people as I could, especially during the Mardi Gras holidays.

Materials: Notepad

Laptop

Procedure: I will ask as many customers, hopefully more than 200 customers, where they come from. I will ask them if they knows how many miles is where they are from is from New Orleans. Then I will put it in Excel to graph it.

How far do people travel to New Orleans?

I choose this topic for my Statistics project because I think it would be interesting. I try to research up to about this topic, but I could not find any information on it. What I did find though was the number of visitors coming to New Orleans each year. I found it on a New Orleans Facts website. I spend some more time researching up my topic, but with no luck. I think my topic will be good for the Tourist Bureau because it will give them information about where did all of these visitors come from. So if there is not many visitors coming from, let say the Northwest of United States, then the Tourist Bureau could advertise about New Orleans there, in order to bring in more tourists for New Orleans. I also choose this topic because I think it would be easy for me, since I work in the French Quarter. I think it would be easy for me to ask people where they come from.