What Does Your Credit Card Company Know About You? In today’s world, it’s common for businesses to gather as much data on their customers as possible. Big data and related analyses have the potential to help companies develop new, better products for their customers and provide more unique experiences for those customers. And for financial institutions, those data are even more precious, since they have the power to tell them whether or not a person is trustworthy—i.e., whether they’re worthy of receiving a loan or a line of credit. For credit card companies especially, it’s important to keep track of customers’ and potential customers’ buying habits. So just what information does your credit card company have on you, and why is it so important? Why Credit Card Companies Care Let’s start by looking into why credit card companies care so much about you and your habits in the first place. For that, they need data to consider: Trustworthiness. Your Credit Score This one should be obvious. Payment History and Reliability Income and Debt Ratios
Chancellor Matos Rodríguez Explains CUNY’s Key Role In NYC’s Campaign To Ensure A Complete And Accurate Count In The 2020 Census – CUNY Newswire Mayor Bill de Blasio, City Council Speaker Corey Johnson and The City University of New York this week announced an unprecedented $19 million investment in local community-based organizations to engage in mass education and mobilization efforts around the 2020 Census. This joint investment marks New York City’s first-ever community awards program focused on census-related organizing and outreach, and the largest such investment by any city nationwide. The goal of the community awards program is to ensure full participation in the 2020 Census by supporting a large network of local community-based organizations that are considered messengers of important and sensitive information within New York City’s diverse communities. Chancellor Matos Rodríguez discussed the importance of getting an accurate count in the upcoming census, and the role that CUNY will play in this unprecedented effort, at a press event on Tuesday at the New York Public Library with Deputy Mayor J.
The Importance of Statistics - Statistics By Jim The field of statistics is the science of learning from data. Statistical knowledge helps you use the proper methods to collect the data, employ the correct analyses, and effectively present the results. Statistics is a crucial process behind how we make discoveries in science, make decisions based on data, and make predictions. Statistics allows you to understand a subject much more deeply. In this post, I cover two main reasons why studying the field of statistics is crucial in modern society. Personally, I think statistics is an exciting field about the thrill of discovery, learning, and challenging your assumptions. For a contrast, read about qualitative research, which uses non-numeric data and does not perform statistical analyses. Statistics Uses Numerical Evidence to Draw Valid Conclusions Statistics are not just numbers and facts. Statisticians offer critical guidance in producing trustworthy analyses and predictions. Statisticians Know How to Avoid Common Pitfalls Related
The Most Stereotypical Food In Every State | HuffPost Life Each of the 50 states in the U.S. has its own history, traditions and cultural touchstones. One element that can play a particularly meaty role in forming a state’s identity is the cuisine. The website AreaVibes, which ranks what it calls the “liveability score” of places in the U.S., conducted a survey of just over 1,000 people to determine which foods and beverages are stereotypically associated with every state. Unsurprisingly, the No. 1 food associated with Maine was lobster, and for New York it was pizza. On the produce side, potatoes won out for Idaho, Hawaii was associated with pineapples, and oranges took the prize in Florida and California. AreaVibes compiled its data by surveying 1,002 people. It was a tough break for Delaware and New Hampshire, as neither generated a dominant answer. Some of the findings highlight the power of brand associations. Beyond food, AreaVibes also asked respondents about more general stereotypes for each state.
The Creepy Way Facebook And Amazon Profit Off Our Private Data | HuffPost Our lives and habits are being tracked. Every time we tap in a Google search, every time we click “Like” on Facebook and every time we make an Amazon purchase, we are giving away information about ourselves: our thoughts, our preferences, our behaviors. We are providing data that can be packaged up and sold to companies, which then use that data to try to modify our behavior and steer us toward buying their products and services. Harvard Business School professor Shoshana Zuboff calls it the commodification of human data. In an interview with HuffPost, Zuboff talks about how this new world is not just a threat to our privacy, but — as it starts to shape our actions — to our democracy itself: So, what is surveillance capitalism? It’s important to know that in many ways, surveillance capitalism differs dramatically from other forms of capitalism over the last couple of centuries. Industrial capitalism, which dominated the late 18th, 19th and 20th centuries, famously claimed nature.
The effects of exercise session timing on weight loss and components of energy balance: midwest exercise trial 2 | International Journal of Obesity Participants were recruited into MET-2 (Registration Clinical Trial number: NCT01186523, www.clinicaltrials.gov) and provided written informed consent before engaging in any aspect of the trial and were compensated for participation. The approval for this study was obtained from the human subjects committee of the University of Kansas-Lawrence. Briefly, MET-2 was a 10-month randomized efficacy trial, 5 day/week supervised exercise intervention at two levels of ExEE (400 or 600 kcal/session) or non-exercise control that was designed to evaluate the effect of aerobic exercise, without energy restriction, on weight loss in sedentary overweight and obese men and women. Blinding of participants to group assignment was not possible. Investigators and research assistants were blinded at the level of outcome assessments and data entry [16, 33]. Participants Exercise training and group classification Control group Anthropometrics (height, weight, body composition) Components of energy expenditure
Screen-based media associated with structural differences in brains of young children -- ScienceDaily A new study documents structural differences in the brains of preschool-age children related to screen-based media use. The study, published in JAMA Pediatrics, shows that children who have more screen time have lower structural integrity of white matter tracts in parts of the brain that support language and other emergent literacy skills. These skills include imagery and executive function -- the process involving mental control and self-regulation. These children also have lower scores on language and literacy measures. The Cincinnati Children's Hospital Medical Center study assessed screen time in terms of American Academy of Pediatrics (AAP) recommendations. Among the AAP recommendations: For children younger than 18 months, avoid use of screen media other than video-chatting. Dr. Among the key findings: Higher ScreenQ scores were significantly associated with lower expressive language, the ability to rapidly name objects (processing speed) and emergent literacy skills.
The Office Worker Of The Future Supposedly Looks Like... This | HuffPost Life Are you sitting at your desk? “Emma” wants you to get up. Right now. Emma is your “work colleague of the future,” a life-sized prediction of what office workers’ bodies will look like in 20 years thanks to the long-term negative physical and mental impact of increased screen time, longer hours and too much sitting. Emma has sallow skin from too many years of artificial light and stress-related eczema on her arms. Poor air quality has caused swollen sinuses with more nose- and ear- hairs, and red eyes. Emma is part of a 2019 report commissioned by office equipment company Fellowes Brands, who partnered with behavioral futurist William Higham and other experts to determine the health effects humans will see if we don’t make changes in the workplace. Higham, who wrote the report that helped to inform what Emma could look like, called her a “worst-case scenario.” Higham said Emma has made people imagine the health risks more clearly. Don’t stress about all the ear hairs you could sprout.
Coal Knew, Too | HuffPost Canada “Exxon knew.” Thanks to the work of activists and journalists, those two words have rocked the politics of climate change in recent years, as investigations revealed the extent to which giants like Exxon Mobil and Shell were aware of the danger of rising greenhouse gas emissions even as they undermined the work of scientists. But the coal industry knew, too — as early as 1966, a newly unearthed journal shows. In August, Chris Cherry, a professor in the Department of Civil and Environmental Engineering at the University of Tennessee, Knoxville, salvaged a large volume from a stack of vintage journals that a fellow faculty member was about to toss out. He was drawn to a 1966 copy of the industry publication Mining Congress Journal; his father-in-law had been in the industry and he thought it might be an interesting memento. Cherry flipped it open to a passage from James R. “It pretty well described a version of what we know today as climate change,” said Cherry. Decades Of Denial
A Statistical Modeling for Policy Making: A Role of Regression Analysis: Government & Law Book Chapter The concept of regression was first introduced by Sir Francis Galton in the context of inheritance of stature. Karl Pearson found the regression of son’s height on father’s height to be a biometrical fact. Soon the use of regression technique became too common for a variety of problems. The relationship between variables, if it exists, may be linear or curvilinear. The concept of regression was first introduced by Sir Francis Galton in context of inheritance of stature in human being (Bulmer, 2003). In the Government, semi-Government, self Finance, Private Offices etc, it is very much require knowing the work efficiency of the employee. Linear relationship between two variables is represented by a straight line which is known as a regression line. ) on the variables X and Y are necessarily taken in pairs, on the units which may be people, animal, plots, spare parts, plants or any other thing.
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