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Importance of statistics in daily life
Essay on basketball statistics
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Recommended: Importance of statistics in daily life
n my eyes, statistics are everywhere. Basketball, for example, is a game of percentages and statistics. When I watch, I see numbers. Not the jerseys, but the stats behind each player, team, and game. If you asked me how last night's game went or how skilled I think a player is, I would answer in data. Statistics is how I interpret the world, especially basketball.
In my AP Statistics class, we discussed a statistical paradox called Simpson's paradox, where a trend that observed in different groups of data disappears when the groups of data are combined. But for me, this wasn't the first time I'd learned of the concept.
In basketball, I had researched the issue of Simpson's paradox, which is surprisingly prevalent. When determining the overall
The Monty Hall problem is a hallmark of modern statistics. It was first officially published in the “Ask Marilyn” column of Parade magazine, in which the world's highest IQ, Marilyn vos Savant, answered reader questions and solved an enormous variety of puzzles and riddles. The Monty Hall problem was sent in by a reader and published exactly as follows:
For social sciences majors, reading this book can provide a look at exactly what biases there are in the field we are hoping to enter, and what mistakes are commonly made. It provides a long list of examples of ways in which numbers can be messed up, and is a good warning to those of us wanting to be social scientists.
Trend lines; are the rates in a data table either showing a negative slope or a positive one. In this instance, the trend lines of crimes like homicides, rapes, and shooting in the US are on a downwards slope (para. 6). However, trend lines on the subject are rarely researched because they are no competition for headlines. Headlines are what grasp the worlds attention, even if it’s not true. Headlines create audience awareness which promotes the reader to engage in the story. As a reader, the first thing my eyes are drawn to in an article is the headlines. Pinker and Mack use resources from the Bureau of Justice Statistics and the FBI Uniform Crime Reports in order to get accurate data without using media and headlines. Bold, exciting, and even simple words convey the reader into buying the article just out of curiosity, that is how the media makes its profit, through casual wording and interesting
In today’s world, nothing is impossible when it comes to technology, but one can see some of the advantages and disadvantages of science and technology throughout Jekyll and Hyde and modern day baseball. Biogenesis was an anti-aging clinic in Miami, which supplied PED’s to several MLB players. Anabolic steroids “Promote the growth of skeletal muscle (anabolic effects) and the development of male sexual characteristics (androgenic effects) in both males and females”(Anabolic Steroid Abuse). When reports came out showing the names of the players who were using the steroids it was easy to see the many statistical changes prior to and after taking the enhancer. Jekyll and Hyde compares and contrasts with the use of steroids through the enhancement of oneself, especially with the use of science and technology and the contrasting agendas for taking these enhancers between Jekyll and MLB players.
I am investigating the impact of math in the various parts of baseball. I have collected data from the various aspects of baseball such as hitting statistics and pitching statistics that are from the MLB. With this collection of data that I have, I used a number of mathematical processes to analyze this data and get to the final statistic. Such as the pitcher's statistics of how many runs they allowed in a certain amount of innings and applying the mathematical formulas to figure out the end statistic which is their ERA and that tells us overall how good that pitcher is performing. Some of this data is shown in graphs throughout the paper and another big formula used in baseball is the projectile motion formula used to calculate how far home runs travel. In the end these calculations will prove how math is so important to baseball and how these formulas contribute to that by figuring out the end statistics of various parts of important baseball data such as hitting and
Yes, I had my fair share of encounters with the Abilene Paradox. Let us rewind back to my undergraduate days, shall we. November 1, 2011 is the date that resonates with me the most. Professor, Washington informed us that she would be pairing the students up in groups for a group project. She was fully aware that students would show favoritism and choose to work exclusively with their friends and/or associates. Professor, Washington countered this by orchestrating random groups. The purpose of the random groups was to pair students off with those whom were unfamiliar. This obviously did not sit well with most students because it forced them to meet new people. The theme was to choose a foreign country and explain how its culture was similar and how it differed from the United States. Professor, Washington paired me with three other students, but I only knew one prior to the project. Initially, everyone suggested a country, but failed to reach an agreement. After about twenty minutes of arguing what country we would research, Chris suggested that we look into Thailand. At that moment, we just all looked at each other and said, “Yeah, ok. In hindsight, we only agreed with Chris because he had the reputation of being an honor student. We later discovered that no one but Chris wanted to report on Thailand. Ironically, we all agree because everyone else did. At that point, we all became a
Secondly, data visualization is a way of squeezing an enormous amount of information and understanding into a small space.
When you hear the name “Simpson,” who comes to mind? Is it Homer and Marge, or is it O.J.? Most people hear “Simpson” and either think of the popular American sitcom or the NFL running back turned alleged killer. I am unique, because when I hear “Simpson,” I think of Edward H. Simpson, the man who popularized Simpson’s Paradox. Simpson’s Paradox is a statistical phenomenon that occurs when a trend appears in groups of data, but when the groups are combined, the trend appears to be reversed. The most famous example of this occurred in 1973, at the University of California-Berkeley. The school was sued for sex-discrimination when it appeared that they admitted 44% of male applicants, but only 35% of female applicants. People were outraged, until
The New York Yankees were in an unusual predicament in their final year with Derek Jeter. Jeter announced that he was retiring after the 2014 season, but the Yankees decided to sign him to one-year contract worth twelve million dollars. They could have used this money to pursue a younger, more talented shortstop for them who would give them a better shot at winning a World Series. The New York Yankees fell into a very common thing that happens in sports and that is the sunk cost fallacy.
8.) Data - means facts or information. People use data as a basis for drawing conclusions about the topic or theme they are studying.
Sports are often identified to have positive influences on many individuals. The sports industry is growing worldwide, especially the basketball industry, which is regarded in second place behind football. The global prevalence of basketball is unquestionable, especially among the young. Basketball is a dynamic team sport that involves a pattern of alternating, active, and skilled movement activities. There are compound demands that require a mixture of individual skills, team plays, strategies, and motivational aspects.
A few years ago I learned about the problem solving principle of “Occam’s Razor.” The theory defined in simple terms: when you have competing hypotheses, the one that makes the fewest assumptions is most likely to be the most accurate and should be
Applying the sports analysis on relative age to academics is quickly revealed to be a flawed approach. In athletics, it’s simple; if you’re older, bigger, and stronger, you can probably hit a baseball a longer way than your smaller competitors. However, the academic playing field has a tendency to even the odds.
picture. The signicance of data visualization is very high in order to have a
Descriptive stats summarize data so the data can be comprehended. The researchers prepare a frequency distribution which shows the frequencies as descriptive statistics. Percentages, and averages are also descriptive statistics. Therefore, the descriptive statistics describe sets of data collected through observation. Then the statistics are organized in tables, pie charts, graphs etc. Researchers must be sure the kind of descriptive statistics matches the kind of data that has been collected.