- The article I chose conducted an international study that suggested 1.75 ounces of meat induced daily increases the risk of colorectal cancer over a lifetime by about 18 percent. I chose this article based on the 10% make-up that colorectal cancer has within people with cancer worldwide.
- To conduct this study a group of 22 scientists from the IARC evaluated more than 800 studies from several continents about meat and cancer. The studies looked at more than a dozen types of cancer in populations with diverse diets over the past 20 years and concluded that risks rise with the amount consumed.
- How will this affect international countries that make much of their profit off of production and consumption of meat? Will these statistics decrease the number of colon cancer cases?
- The article I have chosen expressed the facts and figures in relation to suicide within the state of Missouri for the year of 2015. I chose this compliance of information based on the astronomically high rates we have within the state and because it is the 10th leading cause of death within the state.
- The information was collected by the CDC (Center for Disease Control) and presented under the Missouri Suicide Prevention Project (MSPP). The MSPP is under the Department of Mental Health, Division of Comprehensive Psychiatric Services.
- Based on the increase in medication and technological advancement, why do we continually see a rise in suicide rates? Is there a stronger demographic of male or female who have higher numbers?
SEC colleges 2015-2016 estimated tuition http://t.co/srhdEjK4Bq
— College Statistics (@univstats) May 21, 2015
1. The article I have chosen expressed the a compliance of SEC schools and a comparison amongst college tuition fees from 2015-2016. I chose this statistical analysis based on my interest in my own university’s fees and costs, as well as an interest among how they vary among our conference.
2. The data was issued through the US Department of Education and composed under secondary data. Some of the statistics were pulled from the student/faculty ratio data that was reported for the year of 2014.
3. If our conference is classified as one of the most financially successful conferences, why are these universities issuing an increase in tuition rates? Could the rates in student population have any correlation with the SEC athletic program and the success within the university?
— Forbes Tech News (@ForbesTech) August 31, 2015
1. This article discusses the statistical study done by researchers on the appropriate times when it is “OK” to answer your phone. I thought this read was especially interesting given the time that we are in when technology can be extremely addictive and how my generation struggles to manage professionalism when having a phone or tablet at the tips of their fingers.
2. The article was posted by Forbes and initially conducted by Pew Research.
3. One question I have regarding the study was how similar this study would be to another source of technology? Is one source more accepting than another?
— AP Sports (@AP_Sports) August 29, 2015
1. This article discusses the upset in Saratoga Springs, NY after recent Triple Crown winner American Pharoah falls to Keen Ice. I chose this article because it was an interesting insight into the winning statistics of fan favorites v. an underdog, and to better understand how those statistics impact the success of those who enjoy to bet at these events.
2. While the article was written by Richard Rosenblatt, the author included insight from trainers as well data pulled from the race itself.
3. A question that I wanted to propose after reading this article was was which is the primarily aspect most horse racing analysts look at? Is it the stature of the horse? The track? Previous races?
— The Associated Press (@AP) August 31, 2015
1. The article I chose primarily reflects on the racial gap in kidney transplants after a 13-year study. While the increase in statistical data shows that African Americans are coming close in numbers to Caucasians, they still represent one-third of patients on the waiting list for a kidney transplant.
2. The study was conducted Dr. Jesse Sammon, the senior author and a urologist-researcher at the Henry Ford Health System in Detroit, with an article written by Lindsey Tanner. Sammon also produced her work on JAMA International Medicine.
3. The article states that, “Perfect matches are most likely when donors and recipients are the same race, but transplants involving partial matches also can work.” Which percentage of applicants are generally perfect matches v. those who are only partial?
— ESPN Stats & Info (@ESPNStatsInfo) August 31, 2015
- The article I chose discusses the metrics system used by sports analysts to decide on which teams will have more future success using statistics and relationships from prior years. I chose this article because I was interested in what statistics play heavily in their suggestive decision.
- The data used within the article written by Sharon Katz, was produced by three members of the analytics team — Brian Burke, Zach Bradshaw, and Alok Pattani. The article produced a questionnaire conducted by Katz and answers were produced from the three members.
- One further question I have following the article is related to the actual formula. Although the team declares pinpointing a distinct formula is difficult to due based on the incredible amount of variables used, is there any data system that a monitor can produce more efficiently?