Case Study Patrick's Two Outliers

An Outlier is someone who stands out in a group due to their mastery of a certain skill and because of that they are successful. According to Gladwell not anyone can become successful; it takes the right circumstances and opportunities. Human’s capability seems limitless, and if we put in the time and hard work we can achieve our goals. We as a society love to think that a person may become successful and that we all have the same opportunities and chance of succeeding if we just work hard enough. According to Malcom Gladwell, the author of the book Outlier’s these common beliefs are incorrect and are not the means of a person becoming successful. The main theme throughout Gladwell’s Outlier’s is that successful

Malcolm Gladwell insists throughout his book, Outliers: The Story of Success, that the recipe for achievement is not simply based on personal talents or innate abilities alone. Gladwell offers the uncommon idea that outliers largely depend upon “extraordinary opportunities and cultural legacies” (Gladwell19). According to Gladwell, successful men and women are beneficiaries of relationships, occasions, places, and cultures. The author draws on a different case study in each chapter to support a particular argument concerning success. Despite his indifference and suppression in regards to counterarguments, Gladwell’s claims are effective for many reasons, including through the accounts of experts, tone and style of writing, and the

We are presented with a theory that there aren’t any successful self-made people, which we know is contrary to popular beliefs. This theory was presented by Malcolm Gladwell in his book, Outliers: The Story of Success. The theory is further defined by the premise that holds that success is enabled by a person’s culture, environment, when and where they were born, and a strong work ethic. These theories and examples of success are analyzed using the textbook, Leadership: Research Findings, Practice, and Skills (2015) by Andrew DuBrin. Several examples are provided in this paper that illustrate and support Gladwell’s thoughts on opportunity and cultural legacy.

5. The standard deviations of the groups are different between these two data sets. This implies that both girls and the boys groups have a large variability in their data. The reason is that the standard deviation for boys is 5.9 and the standard deviation for girls is 5.0. This means the data has a wide range of data within the mean.

The standard Deviation comparing both sets of data only shows a slight difference on the numbers (a difference of only 1.38187054), but in the histograms both show a huge difference on the frequencies of each data set, but shows a similarity on the cumulative percentage. Data set #2 seem to be more stable even though the grades of the student were lower than data set #1. Data set#2 shows a relative stability in regards the frequency on the histograms, when comparing the frequency histograms data set #2 has more frequency on number two’s than data set #1 on frequency on the number three’s. In this case Data set #2 shows a normal distribution behavior.

All of the test scores averages were very low. The results also did not make sense because today, color is a big attention grabber and a distracter. The reason behind this is possibly because people needed a warm up or practice before the first trial. The extraneous variables could have also caused the results as well. Some extraneous variables were the yelling from the other room outside that may have distracted them. Another variable may be the room temperature the participants were in. The last variable that may have caused the results were the uncomfortable chairs and the table height for the different sized participants.

11. For the scores (2, 2, 0, 5, 1, 4, 1, 3, 0, 0, 1, 4, 4, 0, 1, 4, 3, 4, 2, 1, 0): N = 21; Sum = 42; Mean = (2+2+0+5+1+4+1+3+0+0+1+4+4+0+1+4+3+4+2+1+0)/21 = 2.0; Median = (0,0,0,0,0,1,1,1,1,1,2,2,2,3,3,4,4,4,4,4,5) = 2.0; Sum of Squared Deviations (SS) = (2-2)2+(2-2)2+(0-2)2+(5-2)2+(1-2)2+(4-2)2+ … (0-2)2 = 56.0; SD2 = SS/N = 56/21 = 2.67; SD = 2.67 = 1.63.

Student Tutor Class Date Barack Obama as an "Outlier" Barack Obama has attracted immense attention from the basic way he conducts his affairs in the Oval Office and from his past life experiences. Nevertheless, there have been debates as to whether Obama is really an “Outlier” or not. For this purpose, this paper examines how Obama is perceived as an “Outlier.” This examination involves looking into the challenges he faced as he grew up and the aspects of his life and the surrounding that helped him succeed in life.

Boyce’s French 1, Mr. Petersen’s ceramic class, Mrs. Agnew’s US history, Ms. Johnson’s upper bound, Mrs. Krocker’s algebra 1, and Mrs. Alvarez’s Avid 10. After a day of waiting for the results, I tallied the categorical and numerical data onto a piece of paper, then gathered a total of 154 surveys. I collected 36 surveys from freshmen, 45 from sophomores, 34 from juniors, and 39 from seniors. To calculate the mean, I got the midpoints from the grouped data and multiplied it to the frequency, then divided it by the sum of the frequency. The mean is 5.9, the median is 5-6, the mode is 9-10 problems, and lastly the range is 10. I also calculated the standard deviation by using the chart used on the 8-3 notes and and created an empirical rule normal graph to find the percentages for the first and second

A statistical chart was created to analyze novels read my students in a 12th grade Literature class. There were a total of four classes and the teachers of the literature classes were Dr. Adhanom, Ms, Zadnichek, SGT Kulokowski, and Mr. Radoslovich. Each Literature class had a wide variation of students per class ranging anywhere from ten to forty-five students. The point of the statistical model was to show the teacher’s name of the 12th grade Literature class, the number of students in the class, the total novels that were read, and the average of novels that were read per student. Thus, the statistical chart allows people to see what class read the most and least amount of books. In addition, the chart shows an average of books read per students.

According to a graph all of the grades that were on the paper has a small effect towards class sizes.Each subject was affected so if it was a small class or large class it could have impacted their scores.Usually kids that are in larger classes don?t get the attention they need from

I started with an analysis of the Episode Ratings for Modern Family (ignoring seasons). For the 168 episodes of Modern Family the average rating was ȳ=8.0304 stars out of 10, with a standard deviation of 휎=0.3469 stars. The minimum rating received by an episode is 7.3 stars out of 10 and the maximum rating is 9.5 stars out of 10. By using the median, any outliers in the data can be excluded, the median rating was 8 stars out of 10. Quartile 3 was 8.2 stars out of 10, while quartile 1 was 7.8 stars out of 10, resulting

The following table is titled BarOn EQ2.0 Results. The BarOn EQ2.0 is designed to measure emotional intelligence. The following table displays the total EQi 2.0 score, the composite scores, and content scores (each score delves deeper into specific details regarding one’s results). The table is to read from left to right. A score of 0 to 90 is considered a low range, a score of 90-110 would be considered mid range, and finally a score of 110 to 140 would be considered the high range. The total score of 89 is a result of the average of all my scores, this would be considered the low range, just below the mid range area.

Interpretation: The boxplot displays the behavior score distributions by grade. The behavior scores differ significantly by grade level. The lower high school has a higher average median score than both the middle school and upper high school. The lower high school has the smallest variance in scores while the upper high school has the largest variance in scores. There were a disproportionate number of middle school observations when compared to the high school data.

On the graph above you can see that both the quadratic and the line are both adequate representations of the data collected by gold medalists for the men’s high jumps in the Olympics. Both of these lines follow the plots made on the original graph and they don’t stray too far from those lines either. There only outlier for the quadratic seem to be the medalist from the 1948 Olympics because his height is far below the quadratic. There might be some problems with the exact position of where the quadratic is and where the line is because they were drawn by hand and not on the computer like the stat plots which could potentially cause problems for interpreting the data.