Thursday, March 19, 2020

Ernest Hemingway and Mary Welsh

Ernest Hemingway and Mary Welsh life the writer, whose novels were read all around the whole world and who women were crazy about, seemed not to have known the happiness of this great feeling. So what was the story of Ernest Hemingway and Mary Welsh? Ernest belonged to that rare type of men who believed that any serious passion for women should end with a marriage. Being married for the third time, in 1944 in a London pub Ernest saw a pretty blonde and fell in love. Mary Welsh was a charming blonde, an American, a daughter of a woodcutter, who studied to become a journalist (Meyers). By the time of meeting with Hemingway she was thirty-six years, and she was married. On the eighth day of dating the writer came up to her and in the presence of all said: I want you to marry me. I want to be your husband (Reynolds). Mary asked Hemingway to stop talking nonsense, as both of them were married. However, the follow-up meeting in a Paris hotel put everything in the right place, and they fell into the arms of each other. For a few days they maintained their strength with champagne and joyful amazement of being together. Two years later, in March 1946, Hemingway and Mary Welsh got married.. After the wedding dinner the couple quarreled. The next morning, as Mary recalled, sober Hemingway happily announced, Let us never get married again! She replied, Definitely not with each other. He added, Not with anyone else. I still love you (Meyers). In such a way they made it up. Undoubtedly, to be a wife of a genius is interesting, but it is also incredibly difficult Mary forgave Hemingway his rudeness, heavy drinking and even adultery only because he was incredibly talented. Hemingways children criticized their mother for lack of will. You do not understand, she said, I am a wife, not a cop (Reynolds). They lived together for fifteen years. In fact, it was a long and happy marriage. Nevertheless, their children accused Mary Welsh of the fact that she helped Hemingway to die. In the last years of life the writer repeatedly tried to kill himself One day Mary found her husband charging a gun. She tried to distract him, joking that it would be nice to start writing a suicide note. Still, Hemingway was persuaded to go to a clinic. Mary rented a room in a nearby hotel and spent all the days with her husband. She was the only person with whom Ernest could speak without any fear of being suspected of madness. In his last year, he repeatedly tried to kill himself. After trying to shoot himself, he wanted to jump out of a plane by which he was being taken to the Mayo Clinic in Rochester, but it did not work as the door would not open. At the hospital Hemingway was treated with electroshock (Reynolds). This caused a partial loss of memory, vision, and even more severe depression. When asked to write a few simple suggestions for a book about Kennedy, after a few hours of fruitless efforts Hemingway started crying in the presence of his doctor. It was too humiliating for him to realize that, being a great writer, he could not make up e ven the most primitive phrase. He once said that if he felt his hopelessness, then he would not hesitate to leave this life. Early in the morning of July 2, 1961, Ernest Hemingway fulfilled his promise Mary knew it was meant for him. Mary Welsh outlived him by a quarter of a century and prepared Hemingways Parisian memories as a book A Moveable Feast to print. This novel is considered the best work of Ernest Hemingway.

Tuesday, March 3, 2020

Major Courses Needed for a Statistics Degree

Major Courses Needed for a Statistics Degree So you want to study statistics in college. What courses will you need to take? Not only will you be taking classes that pertain directly to statistics, but you will also take classes that are similar, if not identical, to those taken by students majoring in mathematics. Below is an overview of courses that commonly make up the core of a Bachelor’s degree in statistics. Requirements for a degree vary from one  institution to another, so be sure to check with your own college or university catalog to be certain what you will need to take in order to graduate with a major in statistics. Calculus Courses Calculus is foundational for many other areas of mathematics. The typical calculus sequence involves at least three courses. There is some variation on how these courses segment the information. Calculus teaches problem-solving and develops numerical competency, both skills that are important for statistics. In addition to this, a knowledge of calculus is necessary to prove results in statistics. Calculus One:  In the first course of the calculus sequence you will learn to think carefully about functions, exploring topics such as limits and continuity. The main focus of the class will move to the derivative, which calculates the slope of the line tangent to a graph at a given point. Towards the end of the course, you will learn about the integral, which is a way to calculate the area of regions that have strange shapes.Calculus Two:  In the second course of the calculus sequence you will learn more about the process of integration. The integral of a function is typically harder to compute that its derivative, so you will learn about different strategies and techniques. The other major topic of the course is typically infinite sequences and series. Intuitively, this topic examines infinite lists of numbers, and what happens when we try to add these lists together.Calculus Three:  The underlying assumption of calculus one and two is that we deal with functions with only o ne variable. Real life is much more complicated with several variables in the most interesting applications. So we generalize the calculus that we know already, but now with more than one variable. This leads to results that can no longer be depicted on graph paper but need three (or more) dimensions to illustrate. Other Mathematics Courses In addition to the calculus sequence, there are other courses in mathematics that are important to statistics. They include the following courses: Linear Algebra:  Linear algebra deals with the solutions to equations that are linear, meaning that the highest power of the variables is the first power. Although the equation 2x 3 7 is a linear equation, the equations that are of most interest in linear algebra involve several variables. The topic of matrices is developed to solve these equations. Matrices become an important tool to store data in statistics and other disciplines. Linear algebra also directly pertains to the area of regression in statistics.Probability:  Probability is foundational for much of statistics. It gives us a way to quantify chance events. Starting with set theory to define basic probability, the course will move on to more advanced topics in probability such as conditional probability and  Bayes theorem. Examples of other topics may include discrete and continuous random variables, moments, probability distributions, the law of large numbers and the central limit theorem.Real Analysis:  This co urse is a careful study of the real number system. In addition to this, the concepts in calculus such as limit and continuity are developed rigorously. Many times theorems in calculus are stated without proof. In analysis, the goal is to prove these theorems using deductive logic. Learning proof strategies is important to develop clear thinking. Statistics Courses Finally, we arrive at what you want to major in, statistics. Although the study of statistics is heavily dependent upon mathematics, there are some courses that do specifically pertain to statistics. Introduction to Statistics:  The first course in statistics will cover basic descriptive statistics such as average and standard deviation. In addition, some topics of statistical inference such as hypothesis testing will be encountered for the first time. Depending upon the level and aims of the course, there may be a number of other topics. Some courses overlap with probability and will involve a study of different types of probability distributions. Other courses are more data-driven and will focus on how to use computational software to analyze the statistics of these data sets.Mathematical Statistics:  Here the topics of the introduction to statistics course are dealt with in a mathematically rigorous fashion. There may be few if any data involved in this course. Rather the ideas from most if not all of the mathematics courses are used to deal with statistical ideas in a theoretical way.Specialized Courses:  There are a variety of other courses that you could then take to earn a degree in statistics. Many colleges and universities have entire courses built around regression, time series, actuarial studies and biostatistics. Most statistics programs require that you complete several of these courses in specialized topics.