Jose Rizal as a Reformist free essay sample

Jose Rizal, our national hero, was one of the Filipinos who asked for reforms. These reforms will grant the ultimate dream of the reformists; assimilation. Filipinos will be given the rights that they deserve. Rizal choose to seek for reforms than to start a revolution because he knew that Philippines was not yet ready to stand on its own (during his time). Rizal used his liberal ideas in asking for reforms. Rizal joined the Circulo Hispano Filipino when he was still in Europe. This organization did not achieve its goal because the members have different interests. Noli Me Tangere and El Filibusterismo served as Rizal’s means for asking reforms. He used these novels to portray what was happening in the Philippines during the Spanish Colonization. His goal was to awaken the Filipinos and the Spaniards(Spain) with what is happening in the Philippines and he thought that through these novels the Filipinos and the Spaniards would believe that assimilation is the just action for the Filipinos. We will write a custom essay sample on Jose Rizal as a Reformist or any similar topic specifically for you Do Not WasteYour Time HIRE WRITER Only 13.90 / page The Filipinos who were studying in Europe during those times use this movement to ask for reforms to the Spanish Government. They organized the Propaganda Movement to serve as a way of getting those reforms. Jose Rizal was an outstanding Propagandist of the Propaganda Movement. Rizal did not support the revolution for he believed that this will not make the Philippines a better country. The Philippine Revolution freed the Filipinos from the hands of the Spaniards. Although Rizal did not actually support it he had contributed much to this revolution. His works and writings were the corner stone of the revolution and he was indeed an inspiration for the Katipuneros during those times. Rizal’s life was devoted to his country (Philippines). His works and writings were evidence for his noble act as a reformist.

Finding Chi-Square Functions in Excel

Finding Chi-Square Functions in Excel Statistics is a subject with a number of probability distributions and formulas. Historically many of the calculations involving these formulas were quite tedious. Tables of values were generated for some of the more commonly used distributions and most textbooks still print excerpts of these tables in appendices. Although it is important to understand the conceptual framework that works behind the scenes for a particular table of values, quick and accurate results require the use of statistical software. There are a number of statistical software packages. One that is commonly used for calculations at the introductory is Microsoft Excel. Many distributions are programmed into Excel. One of these is the chi-square distribution. There are several Excel functions that use the chi-square distribution. Details of Chi-square Before seeing what Excel can do, let’s remind ourselves about some details concerning the chi-square distribution. This is a probability distribution that is asymmetric and highly skewed to the right. Values for the distribution are always nonnegative. There is actually an infinite number of chi-square distributions. The one in particular that we are interested in is determined by the number of degrees of freedom that we have in our application. The greater the number of degrees of freedom, the less skewed our chi-square distribution will be. Use of Chi-square A chi-square distribution  is used for several applications. These include: Chi-square test- To determine if the levels of two categorical variables are independent of one another.Goodness of fit test- To determine how well-observed values of a single categorical variable match with values expected by a theoretical model.Multinomial Experiment- This is a specific use of a chi-square test. All of these applications require us to use a chi-square distribution. Software is indispensable for calculations concerning this distribution. CHISQ.DIST and CHISQ.DIST.RT in Excel There are several functions in Excel that we can use when dealing with chi-square distributions. The first of these is CHISQ.DIST( ). This function returns the left-tailed probability of the chi-squared distribution indicated. The first argument of the function is the observed value of the chi-square statistic. The second argument is the number of degrees of freedom. The third argument is used to obtain a cumulative distribution. Closely related to CHISQ.DIST is CHISQ.DIST.RT( ). This function returns the right-tailed probability of the selected chi-squared distribution. The first argument is the observed value of the chi-square statistic, and the second argument is the number of degrees of freedom. For example, entering CHISQ.DIST(3, 4, true) into a cell will output 0.442175. This means that for the chi-square distribution with four degrees of freedom, 44.2175% of the area under the curve lies to the left of 3. Entering CHISQ.DIST.RT(3, 4 ) into a cell will output 0.557825. This means that for the chi-square distribution with four degrees of freedom, 55.7825% of the area under the curve lies to the right of 3. For any values of the arguments, CHISQ.DIST.RT(x, r) 1 – CHISQ.DIST(x, r, true). This is because the part of the distribution that does not lie to the left of a value x must lie to the right. CHISQ.INV Sometimes we start with an area for a particular chi-square distribution. We wish to know what value of a statistic we would need in order to have this area to the left or the right of the statistic. This is an inverse chi-square problem and is helpful when we want to know the critical value for a certain level of significance. Excel handles this sort of problem by using an inverse chi-square function. The function CHISQ.INV returns the inverse of the left tailed probability for a chi-square distribution with specified degrees of freedom. The first argument of this function is the probability to the left of the unknown value. The second argument is the number of degrees of freedom. Thus, for example, entering CHISQ.INV(0.442175, 4) into a cell will give an output of 3. Note how this is the inverse of the calculation we looked at earlier concerning the CHISQ.DIST function. In general, if P CHISQ.DIST(x, r), then x CHISQ.INV( P, r). Closely related to this is the CHISQ.INV.RT function. This is the same as CHISQ.INV, with the exception that it deals with right-tailed probabilities. This function is particularly helpful in determining the critical value for a given chi-square test. All we need to do is to enter the level of significance as our right-tailed probability, and the number of degrees of freedom. Excel 2007 and Earlier Earlier versions of Excel use slightly different functions to work with chi-square. Previous versions of Excel only had a function to directly calculate right-tailed probabilities. Thus CHIDIST corresponds with the newer CHISQ.DIST.RT, In a similar way, CHIINV corresponds to CHI.INV.RT.

Green Bay Packers and their affect on business in Green Bay, Wisconsin Research Paper

Green Bay Packers and their affect on business in Green Bay, Wisconsin - Research Paper Example Green Bay Packers has joined American Professional Football Association in 1921. During the last 93 years of history, Green bay packers have undergone many ups and downs. However, it was successful in winning thirteen league championships in America. It is a record in America as no other professional football team in America was able to come closer to this record yet. The ownerships and management of this famous football club changed time to time during the last 93 years of history. In 1923, Andrew B. Turnbull was elected as the first president of Green Bay Football Corporation. Mark Murphy is the current president and chief executive officer of Packers. Plenty of famous players played for Packers in the past. In the list of Pro Football Hall of Fame in Canton, Ohio, 21 packers’ players have been included so far. Some of the recent players included in that list were Henry Jordan (1995), James Lofton (2003), and Reggie White (2006). The current player, Rodgers is voted as NFLâ €™s Most Valuable Player by The Associated Press in 2012. â€Å"The NFL is one of America’s biggest brands. It is the most popular of all professional sports in the US. It is a $9 billion annual business†3. Business interests are motivating most of the football clubs in the world at present and Green Bay Packers is definitely an exception. ... The owners of these football clubs are billionaires who are more interested in business rather than sports. The performances of these football clubs affect the business positively or negatively. For example, â€Å"Manchester United has reported a 3.3% fall in revenue to ?320.3m ($520m) for the year to 30 June, after its early elimination from the Champions League last season†4. Same way the performances of Packers affects business in Green Bay, Wisconsin positively and negatively. When packers win matches regularly, business in Wisconsin increases. On the other hand, when Packers loses matches regularly, business in Wisconsin faces problems. This paper analyses how the wins and losses of Packers affect business in Green Bay, Wisconsin. Effects of Green Bay Packers on business in Green Bay, Wisconsin â€Å"The Packers led the NFL in apparel sales last year—the top two selling jerseys in the league were Packers Aaron Rodgers and Clay Matthews—making $27 million ju st through the pro shop inside Lambeau Field and the site Packers.com†5. National football league of NFL is the most popular game show in America. Prominent NFL players are big celebrities in America. Packers Aaron Rodgers and Clay Matthews are some of the prominent NFL players in America at present. It should be noted that iconic players always wear jersey of a particular kind. For example, Football legends Maradona and Lionel Messi are interested in number 10 jerseys. FC Barcelona number 10 jersey is one of the most favorite items for the football crazy people all over the world. Same way, the jerseys of packers’ players are bringing huge revenue to the club. Even though