2016 Republican Presidential Power Rankings

(Rankings Updated 1/25/2016) These rankings are not based exclusively - or even heavily - on polling data, but instead on a combination of factors including debate performances, favorability ratings, evidence of momentum, and general campaign activity. Who will move up, down, or out of this these rankings moving forward? OFF: Paul, Huckabee, Pataki, Santorum, Carly Fiorina 7. Ben Carson (Previous: 5) - Carson is just in a free-fall right now and he appears to be putting all of his eggs in Iowa. Though he had strong poll numbers, his support levels were always soft in regards to those who were definitely voting for him. They seem to have gravitated towards Cruz for the time being. Carson is still popular enough to do some damage in Iowa, but his dreams of being a legitimate contender seem over. 6. Jeb Bush (Previous: 6) - Just about everybody has written off the 100-Million-Dollar-Man, and he has outspent opponents big time with nothing to show for it. Has Jeb had a single good moment in 6 months?   His message gets lost in constant word stumbles and poor phrasing. On a stage of smooth-talkers, his ineloquence is becoming a liability. This was supposed to be the shock-and-awe campaign that scared everyone away. The opposite happened. What the polling data shows is that Jeb better find a way to start getting Republicans to really like him. Much of Trumps appeal seems to be that everyone is afraid Jeb will get the nomination. But thats starting to seem far less likely. 5. Chris Christie (Previous: 4) - Before the debate, I said this: He still has some Northeastern appeal, but he would need Jeb Bush, Marco Rubio, and John Kasich to have serious meltdowns. Jeb Bush his flailing, and Christie probably had the 3rd best showing at the 3rd debate. Christie is a great talker, and he is reminding us of when he was a favorite a few short years ago. But there are probably still too many negatives to imagine him pulling this off. But he could spoil some things for Rubio in New Hampshire. 4. John Kasich (Previous: 8) - Kasich feels like he was plucked out of central casting as a 1990s-era Presidential candidate. Hes definitely the kind of moderate, boring candidate that the GOP is known for nominating. He has gone all-in in New Hampshire, a geographically-friendly state. He could end up second there and be the establishment pick. 3. Marco Rubio (Previous: 1) - Rubio loses the top spot and we no longer think he has the best odds at winning the nomination. His plan to surge with the help of high-powered endorsements has not materialized a week out from Iowa, and he remains in a distant third place in Iowa and in a jumble for distant second in New Hampshire. I received the endorsement of the Des Moines Register, but his lack of a lane - hes neither establishment nor anti-establishment - seems to have left him in neutral with no core base. 2. Ted Cruz (Previous: 2) - Cruz was finally forced to go after Trump after a long political bromance, but it may be too little to late, as he is a very distant second everywhere (except Texas). If anything, his actions gave Trump more power than he would otherwise have and talk radio and conservative media never had to choose between the duo. Cruz strategy of not attacking Trump was almost exclusively reliant on having the establishment do it for him, and frankly they have refused to do so. When Cruz did pivot, he simply did not get enough anti-establishment leaders to move to him from Trump. 1. Donald Trump (Previous: 2) - Trump remains an incoherent mess and, magically, 10 points ahead or more just about everywhere. The mainstream and conservative media are fueling his campaign, and he picked up an endorsement from Sarah Palin. Nobody dealt with him seriously from the start, and now he may be unstoppable. In the first debate, he praised socialized medicine and bragged about his role in buying off politicians for business favors. He threatened to run as a 3rd party candidate for leverage, and then doubled-down on his theory that the Mexican government was intentionally sending criminals across the border. In the second debate, Carly Fiorina got the better of him time and time again, and Trump continued to show absolutely no interest in developing policy positions. Does he have any campaign infrastructure? Does he really think people believe he is going to self-fund a billion dollar campaign? I long assumed that those pushing Trump would eventually pivot away to Cruz, and now that we are 1 weeks away that has not happened. (But we think this has more to do with Cruz not seizing the opportunity.) Until someone actually does damage to Trump, or unless Talk Radio backs away, hes the one to beat.

A Comparison of EVA and NPV - 3878 Words

Running head: A COMPARISON OF EVA AND NPV A Comparison of EVA and NPV (discuss the differences and similarity of EVA and NPV; why would companies choose to adopt EVA, implementation issues; chronicle the implementation experience of EVA on a real life company). 1 A COMPARISON OF EVA AND NPV 2 A Comparison of EVA and NPV (discuss the differences and similarity of EVA and NPV; why would companies choose to adopt EVA, implementation issues; chronicle the implementation experience of EVA on a real life company). Finance executives are required not only to crunch numbers and generate forecast but to think ‘critically’, not just seeing the numbers but understanding their implications. This is what Melon (1994)†¦show more content†¦EVA a New financial performance metric Figure 1. EVA a New financial performance metric. (Weaver, 2001, p.50) Figure2. Calculation of EVA per year t Figure2. Calculation of EVA per year t. (Baran et al., 2007, p. 670) Notes: Net Operating Assets – NOA According to Baran et al. (2007), â€Å"it is desirable for EVA to be positive or at [the very] least zero; the higher the value of the indicator of EVA the higher the value created [for the company stockholders]† (Baran et al., 2007, p. 673). A COMPARISON OF EVA AND NPV 5 Defining NPV; its role, application and calculation: Dilon and Owers (1997) states that, â€Å"Net Present Value (NPV) also referred to as the additional market value is generally considered a sound measure of value created† (Dilon Owers, 1997, p. 34). The discounted value of future cash flow (FCFi), expected of a project over its lifetime less the value of the company’s initial capital investment (lo), NPV is considered to be linked to stock prices. Dilon and Owers (1997) argues that, if the acceptance of capital project by a ‘non-regulated’ firm resulted in an increase in stock prices then, if the assumption is made, that the accepted projects were examined using NPV, positive NPV equated to the creation of market value. (Armeanu Lache, 2009, p. 144; Dilon Owers, 1997, p. 34) According to Armeanu and Lache (2009): The NPV criterion is based on the hypothesis of an unsaturated money market, according to which theShow MoreRelatedEva -Economic Value Added10189 Words   |  41 Pages9-206-016 REV: JULY 11, 2006 MIHIR A. DESAI FABRIZIO FERRI Understanding Economic Value Added EVA is based on something we have known for a long time: what we generally call profits, the money left to service equity, is usually not profit at all. Until a business returns a profit that is greater than its cost of capital, it operates at a loss. Never mind that it pays taxes as if it had a genuine profit. 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Descriptive Statistics for Nonparametric Models By Experts

Question: Discuss about the Descriptive Statistics for Nonparametric Models. Answer: Introduction In this report a coffee roasting and producing firm named Sublime coffee is taken for the purpose of comparing the sales figure across various outlets. The company has been started by David Geoffs as a coffee roasting and coffee supplying company. In about eighteen months, the company has grown into a mid-level capacity and now operates in three different outlets: coffee sold to the external customers, coffee sold by mobile carts and coffee sold by internally owned vehicles. There are mainly three types of coffee sold by the firm, namely, sublime delight, mocha delight and expresso delight. The different sales figures for each of the 17 different factory outlet, three mobile carts, and coffee sold from internal carts are given for each month of the year. Various methods of descriptive statistics have been used to analyze the sales figures.The measure of central tendency that has been used are: Arithmetic mean: It is calculated by the formula, Xbar=1/n* Median: It is the middle most observation from the set of observations. Geometric Mean: Geometric mean is the weighted average of the log of the observations( Courvoisier and Renaud 2015). In any dataset, the values of the variable have a tendency to cluster around a central value. The measures of central tendency give this fundamental value of the sales figures.After calculating the mean value, one has to check how much the values are dispersed from the core value. For this one needs to calculate the dispersion among the variables(Bickel and Lehmann 2012). The most common measures of dispersion are: Standard Deviation: It is the root of the sum of the square of deviation of the values from the original value.The following formula gives it: Range: Range is the difference between the smallest and largest observations. It only provides an idea about the spread of the dataset(Gelade, Verardi, and Vermandele 2015). Interquartile range: Sometimes a measure called interquartile range is calculated which is the difference between first and the third quartile of the observations. In general, 90 % of the dataset is expected to lie within the IQR(Weiss and Weiss 2012). After getting an idea about the dispersion of the dataset, one would like to know how much the distribution deviates from a normal distribution. That is whether the distribution is negatively skewed or positivily skewed. The following formula gives a measure of skewness: b1= where denotes the third order raw moment and s^3 is the cube of the standard deviation. After calculating skewness of the distribution, one would like to know about the peakedness of the distribution. To measure peakedness one has to measure kurtosis. The measure of kurtosis is given by the square of second order raw moment divided by fourth order rare moment. From the given dataset on 11 months sales figure for the year 2015, the arithmetic mean is least from sales to external customers and highest for sales from internal carts. The sales figure from the mobile van is moderate among the three. The median value is also highest for sales from internal carts, second largest for sales from mobile vans and least for sales from sales to external customers.The same result is also correct for geometric mean.So the measure of central tendency reveals highest sales from internal carts and lowest to external clients.( Samuels, Witmer and Schaffner 2012). Standard deviation is calculated for the measure of dispersion. The values of dispersion for the three outlets are 12.41121 for sales to external customers, 14.23982 for sales from internal carts and 10.61553 for sales from mobile vans. Although the value of central tendency is highest for sales from internal carts, the standard deviation is also greatest for this particular area. This means that the sales from an internal vehicle are very high, but the sales figures fluctuate very much. The standard deviation is second largest for sales to external customers and least for sales to internal carts. The range and interquartile range values also indicate the sales for external clients and internal carts are widely scattered(Lomaxand Hahs-Vaughn 2013). Kurtosis is greater than zero for external customers and less than zero for internal carts and mobile vans. Kurtosis less than zero means the distribution is platykurtic, that is, the distribution is less peaked while a value more than one indicates a peaked or leptokurtic distribution(Blanca et al. 2013). Skewness measure values are 1.335949, 0.416119, 0.32686 respectively. The skewness values for internal carts and mobile vans are almost approaching towards zero that means unimodal distribution while external customers have a positively skewed distribution(Ho and Carol 2015). So descriptive statistics measures indicate sales from internal carts to be highest followed by mobile vans and lowest to external customers. References: Bickel, P.J. and Lehmann, E.L., 2012. Descriptive statistics for nonparametric models IV. Spread. InSelected Works of EL Lehmann(pp. 519-526). Springer US. Blanca, M.J., Arnau, J., Lpez-Montiel, D., Bono, R. and Bendayan, R., 2013. Skewness and kurtosis in real data samples.Methodology. Courvoisier, D.S. and Renaud, O., 2015. Robust analysis of the central tendency, simple and multiple regression and ANOVA: A step by step tutorial.International Journal of Psychological Research,3(1), pp.78-87. Gelade, W., Verardi, V. and Vermandele, C., 2015. SQN: Stata module to estimate Rousseeuw and Croux (1993) robust measure of dispersion.Statistical Software Components. Ho, A.D. and Carol, C.Y., 2015. Descriptive Statistics for Modern Test Score Distributions Skewness, Kurtosis, Discreteness, and Ceiling Effects.Educational and Psychological Measurement,75(3), pp.365-388. Lomax, R.G. and Hahs-Vaughn, D.L., 2013.An introduction to statistical concepts. Routledge. Samuels, M.L., Witmer, J.A. and Schaffner, A., 2012.Statistics for the life sciences. Pearson education. Weiss, N.A. and Weiss, C.A., 2012.Introductory statistics. London: Pearson Education.

Training and Prosocial Organizational Behaviors-Free-Samples for Stude

Question: Discuss about The relationship between training and prosocial organizational behaviors. Answer: Introduction Some of the fundamental features of the human resource management are training and organizational behavior. Proper training is provided by the experts to the new employees of the organization. The organizational behavior is such an aspect that is measured from the ways the employees of the particular organizations behave (Hendry, 2012). This also reflects the organizational culture as well. In this paper, the main purpose will be to draw a relationship between pro-social organizational behaviors and training of the employees. Training Training is an organized procedure in the organizations. The employees must be given a proper training so that they can enhance their skills and show their worth by delivering the expected performance for the organizations. The employees should be trained in a way by which they can adjust to all the changes in the organizational environment. All the required knowledge, ability and skills can be obtained by the employees if they go through a proper training indeed (Hendry, 2012). Pro-social organizational behaviors Pro-social organizational behaviors are considered to be very important behaviors that are elemental for the success of the organizations. These pro-social organizational behaviors have a huge implication on the overall performance of the organizations (Hazzi Maldaon, 2012). The organizations will be able to survive properly if they perform the pro-social organizational behaviors properly. The pro-social organizational behaviors are generally enacted by the individuals of an organization when he carries out his or her functions for the organization by communicating with his colleagues. There are certain kinds of pro-social organizations that can be highlighted in this context. They are employee-directed pro-social behavior (altruism), compliance, customer0directed pro-social behaviors, whistle-blowing and others. Relationship between pro-social organizations and training It has been a matter of discussion as proper training of the employees could lead to the success of the organization from all the directions (Hazzi Maldaon, 2012). If the employee-directed pro-social organizational behaviors are not properly performed the employees will not learn the ways they should conduct with their colleagues and most importantly with their clients (Armstrong Taylor, 2014). The organization can function smoothly only if the employees are well-organized and behave properly according to the ethics of the organization. The experts should always behave well and co-operate with the workers. These particular behaviors are very necessary for the survival of the organizations (Hazzi Maldaon, 2012). These things are also taught in the training process. This is considered to be one of the most interesting responsibilities for the human resource managers. They should incur the sense of responsibility in the employees through proper training (Armstrong Taylor, 2014). It is believed by some experts that taking up the additional roles or the extra roles is a part of the pro-social organizational behaviors and the employees should be trained by the human resource managers properly (Ford, 2014). All these things should be directed towards meeting the organizational goals and achieve organizational success. Conclusion The paper can be concluded by saying that pro-social organizations are really very inspiring for achieving the organizational success. It is the responsibility of the HR managers to make the employees efficient enough to comply with the needs of the organizations. References Armstrong, M., Taylor, S. (2014).Armstrong's handbook of human resource management practice. Kogan Page Publishers. Ford, J. K. (2014).Improving training effectiveness in work organizations. Psychology Press. Hazzi, O. A., Maldaon, I. S. (2012). Prosocial organizational behaviors: The lifeline of organizations.European Journal of Economics, Finance and Administrative Sciences,54, 106-114. Hendry, C. (2012).Human resource management. Routledge.