Thursday, May 21, 2020

Freedom of Speech in Campus - Free Essay Example

Sample details Pages: 2 Words: 563 Downloads: 1 Date added: 2018/12/27 Category Rhetoric Essay Type Assignment Level High school Tags: Freedom Essay Student Essay Did you like this example? According to the Margaret Wente in her article, the freedom of the speech in the universities is being faced with some challenges where it is almost dying. The way freedom of the speech is applied in the university it is becoming scary. Universities have been experiencing difficulties when it comes to the freedom of expression since it contains different cultures and different people with different thoughts, ideas and cultural background. The choice of the language or words for one to freely express ideas and thoughts is challenging. This paper will discuss the choice of the language at the universities and its fairness as it is used in the Margaret Wentes article. In the today universities, the choice of the language or the idea to be freely expressed should be done carefully, the ideas or language should be contained and neutralized so as it may avoid suppressing important opinions. This is because there is the issue of counterculture where different cultures view ideas differently. The freedom of the speech or the ideas and languages that are chosen in the universities should accommodate the other rights for it to be fair. They should include equality rights, diversity, and inclusion of all the people or students at the universities. For the freedom of the speech to thrive in the universities, it must be accompanied by respecting and acknowledging the diversity among the different cultures among the university communities. The language or idea chosen to be expressed should not damage the rights of the other cultures and communities as it should portray equal rights, diversity in beliefs and culture and should not be discriminative but inclusive. The freedom of the speech in the universities should be fair such that it should not violate the rights of the others in the society. The people should be free but they should make sure that what they speak should not offend the others. The speech should not interfere with the social justice. The speech should not interfere with the traditional values that are used in the truth-seeking. According to the Karl Marx who is the philosopher in advocating for the social justice, he argued that for social justice to be achieved the right words should be chosen. The words are said to be a dangerous weapon. For the freedom of the speech to be fair, it should conform to the concept of the words as a weapon. The language chosen should be right to ensure that one group is not disadvantaged by the freedom of the speech in our campuses. The freedom of speech should balance not to discriminate the different groups in the universities. Both minority and majority students should be served equally by the chosen ideas or thoughts being passed across. The language used in the freedom of the speech should not be abusive or offensive to other individuals in the universities. To conclude, for the freedom of the speech to be fair and prevail in our universities it should be fair and neutral. The choic e of the words chosen should not offend each other students on the campuses. Freedom of the speech should respect the other rights of the students, like the equality rights and should also recognize the diversity of the individuals and be inclusive in all its aspects. This will enhance peaceful environment in our campuses where students express themselves freely without offending each other. Don’t waste time! Our writers will create an original "Freedom of Speech in Campus" essay for you Create order

Wednesday, May 6, 2020

Questions On The Equation For Regression - 1545 Words

Question 3-Results Question 3. The following equation was deduced from the Heredia, (2015) question 3, and it was based on the equation for regression. These are the results: Ã" ®=b+mx or Ã" ®=mx+b, Ã" ®= dependent variableï‚ ®overall, a= constant b, b1=predictor 1ï‚ ®GRE score on quantitative b value, x1 = GRE score on quantitative. b2=predictor 2ï‚ ®GRE score on verbal b value, x2=GRE score on verbal. B3=predictor 3ï‚ ®ability to interact easily b value, x3=ability to interact easily. Equation- Ã" ®=a+b1(x1) +b2(x2) +b3(x3) ï‚ ®Overall college GPA=2.250+0.002 (GRE, quantitative+0.028(ability to interact). Step 1-If the model is significant with a significant value of 0.014, less than 0.05. High F value (3.907), lower significance value (.014). Step 2=Amounted accounted for=R2=.203ï‚ ®20.3% of the variance is accounted for by the predictors. There was a moderate effect size. There is a moderate correlation (R=0.451) between the three predictors variables. They are: (GRE on quantitati ve, GRE scores on verbal, and the ability to interact easily), and the dependent variable is overall college GPA. B values-GRE scores on quantitative has the greatest influence on the overall college GPA (B=.397) followed by the predictor the ability to interact (B=0.145). The predictor GRE on verbal has a negative influence on the overall GPA (B=-0.26). The predictor GRE score on quantitative is the best predictor (significance=.010). The GRE on verbal is significant at .855 and the capability to interact easily isShow MoreRelatedManagerial Econ Chapter 51686 Words   |  7 PagesAn estimated regression coefficient is 10 with a standard error of 5. The null hypothesis is that the partial regression coefficient equals zero. What is the value of the t-statistic for testing the null hypothesis of the regression coefficient? Choose one answer. | a. 2 | | | b. 0.5 | | | c. 5 | | | d. 1 | | Correct Marks for this submission: 1/1. Question 2 Marks: 1 Given the demand function in log-linear form: Q = 120 - 1.5P + 12ADV where Q = quantity, P = price, and ADVRead MoreRegression Analysis1447 Words   |  6 PagesREGRESSION ANALYSIS Correlation only indicates the degree and direction of relationship between two variables. It does not, necessarily connote a cause-effect relationship. Even when there are grounds to believe the causal relationship exits, correlation does not tell us which variable is the cause and which, the effect. For example, the demand for a commodity and its price will generally be found to be correlated, but the question whether demand depends on price or vice-versa; will not be answeredRead MoreReasons For Starbuckss Or Starbucks1746 Words   |  7 PagesStarbucks? This choice is given to SIUE students every day. Our group chose to conduct an experiment that proves that students prefer Starbucks to Kaldi’s. To ensure we got the best results, we created an eight-question survey, which we used as factors in our descriptive statistics and regression outputs. They included: how old are you, what school are you in, what gender are you, do you prefer Starbucks or Kaldi’s, do you enj oy a treat with your drink, do you prefer a store or out in the open, how manyRead MoreThe Price Of The Pumpkin1404 Words   |  6 Pagesmeasure, he settled on finding an equation that could give his customers an estimate on how much they would have to pay for a pumpkin. Fred decided he could do this by taking some measurements of the pumpkin, and then entering the measurements in the equation. While there are many methods of formulating an equation to calculate the weight of a pumpkin, the most practical way would be by using a regression equation. By definition, a regression equation is an equation used in statistics to find out whatRead MoreAutorama Case1023 Words   |  5 Pagesdata on size (â€Å"sqfoot† in square feet) and selling price (â€Å"price† in dollars), which are stored in the ï ¬ le shore.xls. Use the data in that ï ¬ le to answer the following questions: †¢ Use Kstat or Excel to construct a scatterplot for these data with size on the horizontal axis. †¢ Use Kstat to dtermine the estimated regression equation. †¢ Predict the selling price for a home with 2,600 square feet. 3. Accesss bschools2002.xls which contains data regarding the top 30 business schools based on the 2002Read MoreMultivariate Statistical Analysis : Natural And Physical Processes1078 Words   |  5 Pagesinteresting research questions about natural and physical processes are so complex that they require multivariate models and multivariate statistics. There are several types of multivariate models such as Mu ltidimensional Scaling, Principal Components Analysis, Cluster Analysis, Linear Mixed-Effects Modeling, Canonical Correlation, Multivariate Factor Analysis, Logistic regression and so on, each with its own type of analysis (3). Logistic Regression Introduction: Logistic regression is also called LogitRead MoreWhat Relationship Does Exist Between?1612 Words   |  7 PagesCorrelation between Followers and Downloads Linear Regression Model Regression line model is an approach to model the relationship between a scalar dependent variables Y and one or more explanatory variables donated X based on the following equation: Y= a + b .X Therefore To find the relationship between Followers and Download we will find Correlation Between the variables that will tell us the relationship between two variables and we will find regression Line. In our case we have Y as a number of DownloadsRead MoreDoes The Level Of Education You Receive Affect The Amount Of Income You Will Earn? Essay1652 Words   |  7 PagesOur question is, â€Å"Does the level of education you receive affect the amount of income you will earn?† Currently, it is said that you need at least a college degree to earn a decent income. This question is often important because in todays society, the amount of money one makes is important to the quality in which one wishes to live. By looking at data we have found through our research it seems as if the higher your level of schooling, reaching anywhere from a high school diploma to a phD, generallyRead MoreRegression Analysis1445 Words   |  6 PagesReport on regression analysis Dear Sir, Here is our term paper on regression analysis that you have assigned us to submit as a partial requirement for the course –â€Å"Business Statistics 1† Code no-212.While preparing this term paper; we have taken help from internet, books, class lectures and relevant sources. Though we have tried best yet it may contain some unintentional errors. We hope, this term paper will come up with your expectation. We shall be glad to answer any kind of question relatedRead MoreReflection On Acuity As An English II Predictor893 Words   |  4 PagesReflection 27: Acuity as an English II Predictor Methods Linear regression allows researchers to analyze cause and effect or predictive relationships among variables (Creighton, 2007). For this assignment, I set out to conduct a regression analysis in hopes of answering two questions: (1) is there a relationship between student scores on Acuity, our school-wide interim testing program, and their performance on the English II state assessment?, and (2) if the relationship is significant, can Acuity

For-Profit Colleges Free Essays

â€Å"The Booming Business of For-profit Colleges† Higher education is a very profitable field, and because of that, for-profit schools have been placed under scrutiny. In the documentary College Inc. , Michael Smith, the correspondent, investigates the promise and tremendous growth of for-profit colleges in the higher education industry. We will write a custom essay sample on For-Profit Colleges or any similar topic only for you Order Now With the student’s best interests in mind, many people have begun to question the integrity of these schools. However, they do not take into account the benefits that these for-profit colleges can offer to non- traditional students, giving them the opportunity to obtain a quality education, and arketable Job skills. For-profit colleges are continuously accepting the abundance of students who have realized that they need to go back to school because Jobs are scarce, and education is needed. Advertising plays a huge part in the large number of students enrolled in for-profit colleges. Successful colleges typically spend twenty to twenty five percent of their total revenue on advertising. This marketing encourages students to take the next step and enroll themselves in a college that they may not be academically or financially ready for. Because College Inc. presents he audience with interviews from multiple sources including former students, school executives, government officials, and enrollment advisors, it effectively portrays the many different perspectives of the industry, and the tension within it. Michael Clifford, a former musician who never went to college, purchases struggling traditional colleges, and turns them into for-profit companies. He believes that it takes the three M’s to turn a college around: Money, management, and marketing. To fund these turnaround projects, Clifford presents to his investors the benefits of putting money into fixing these colleges. From an investor’s point of view, for-profit colleges can be a huge source of income. Jeffery Silber, a senior analyst at BMO Capital Markets, says â€Å"From a business perspective, it’s a great story. miou’re serving a market that’s been traditionally underserved. And it’s a very profitable business it generates a lot of free cash flow. † But from a student’s perspective, it is not fair for their education to be turned into a business. Enrollment advisors play a huge role in the success of for-profit colleges. They are required to recruit a large number of s tudents. The pressure to grow has presented questions about nrollment techniques. Some colleges have been accused of using high pressure sales tactics to get students to fill out application papers. Many of these colleges say they do not have quotas, but Tami Barker, a former enrollment advisor at Ashford University, says she was instructed to make 1 50 calls a day, and close on at least twelve students a month. â€Å"l didn’t realize Just how many students we were expected to recruit. † says the former enrollment counselor. â€Å"They used to tell us, you know, ‘Dig deep. Get to their pain. Get to what’s bothering them. So, that way, you can convince hem that a college degree is going to solve all their problems. † Enrollment advisors convince students that attending college will be easy and affordable even when they are not academically, or financially capable. Dan Golden says â€Å"The concern is that they’re bringing in students who can’t succeed or graduate, loading them with debt. † The documentary College Inc. presents its audience witn a great deal ot students who felt that they were mislead by these enrollment advis ors. The debt load of for- profit students is more than twice the amount of students at traditional schools. Anne Cobb, a former student at The University of Phoenix, says an enrollment advisor at the university helped her get a student loan even though she was swimming in bills. Sherry Haferkamp, a graduate from Argosy University-Dallas says she believed a lot of lies that were told to her, and it was not until after the fact that she realized they were anything but the truth. When she talked to an enrollment counselor at Argosy, he said â€Å"You know, instead of applying for the master’s program, go ahead and apply for the doctorate program. They’ve got two spots available, so you better apply right now. After obtaining her degree, and accumulating over 100,000 dollars in federal student loans, Sherry finds out that her degree is not even accredited by the American Psychological Association. She feels that she is at a dead end, and filed a lawsuit claiming that she was defrauded. The documentary College Inc. , was effective in its purpose of showing the importance of for-profit schools. A large number of students who would never have been accepted into a traditional college, have now been given the opportunity to obtain a degree. Investors who have put money into these failing colleges have profited a great deal. Michael Clifford turned traditional colleges that were in a downward spiral, and close to shutting down into successful for-profit schools. Even though the documentary shows a few students who are unhappy with their experiences, it seems that more people have benefited from these colleges than those who have not. How to cite For-Profit Colleges, Papers