...Revised SAT Essay By Adam B. In Summer's essay, he argues it should be the customer's choice whether they want to use reusable bags at the grocery store. He effectively communicates his opinion through the use of three main strategies: stories, facts, and stats. His use of these methods allows him to successfully sway the reader's opinion in his favor. To start, our author uses many stats throughout the essay. There is a stat in almost every paragraph, and they are well-positioned to give the text a greater depth. Some of the statistics given include gross annual sales, energy and waste percentages, and job counts. Surrounding these job counts are stories. Stories of when states or countries tried to ban plastic bags, and the subsequent outcomes...
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...game freak would make this go from speculation to reality. Now let’s get into it! The first Pokémon on our list evolves using the Sun Stone. Sunflora is a Pokémon from gen 2 that overall below average stats, but what hurts this Pokémon a lot is that it is a grass type with a horrible speed stat of just base 30. I personally don’t even see a mega evolution helping this Pokémon unless it is granted a new typing. I might like to see sunflora get a secondary fire typing through mega evolution. Granted it doesn’t have access to any fire type moves up to 6th gen, gen 7 might go ahead change that up and give it access to flamethrower or fire blast. I’d say a mega evolution for sunflora with a new fire typing and some boosted stats could bump it up to the RU tier due to being able to take a hit much better and access to more coverage. As for my opinion in possibility of this happening let’s give it a 4/10. The 2nd Pokémon we will be looking at utilizes the Moon stone for evolution. Wigglytuff was a Pokémon that I always wanted to be better. 6th gen tried helping it out a little bit by giving this old Pokémon a new secondary fairy typing, but this Pokémon has some below average stats. Besides from the ridiculously high base HP stat of 140 there just isn’t too much going for it Stat-wise. Wigglytuff has a solid ability in competitive and This is...
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...Herring To: Reader Date: July 24, 2013 Re: Status Punishment Facts In the case of Robinson v. California, 370 U.S. 660 (1962), the Supreme Court ruled that a law may not punish a status; i.e., one may not be punished to being an alcoholic or for being addicted to drugs. However, of course, one may be punished for actions such as abusing drugs. The question becomes; What if the status “forces” the action? What if a person, because of his/her addiction to drugs, is “forced” by the addiction to purchase and abuse the illegal drugs? Would punishing that person be unfairly punishing a status? Issue The issue in this case is whether or not punishing a person that is addicted to drugs to be unfairly punishing a status? Applicable Law La. Rev. Stat. Ann. § 40:962 provides in part: A. It is unlawful for any person to manufacture, possess, have under his control, sell, give, deliver, transport, prescribe, administer dispense, or compound any narcotic drug, except as provided in this sub-part or to become an addict as defined in La. Rev. Stat. Ann. § 40:961. Section 40:961(1) provides that "addict" means a person who habitually uses one or more of the narcotic drugs defined in § 40:961 to such an extent as to create a tolerance for such drug, or drugs, and who does not have a medical need for the use of such drug, or drugs. In the case of State v. Bruno, 253 La. 669 (La. 1969), the defendant claimed that La. Rev. Stat. Ann. §§ 40:961, 40:962 upon which he was prosecuted and convicted...
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...Exemption From State Regulation of Securities Offerings. Sec. 19. Special Powers of Commission. Sec. 20. Injunctions and Prosecution of Offenses. Sec. 21. Hearings by Commission. Sec. 22. Jurisdiction of Offenses and Suits. Sec. 23. Unlawful Representations. Sec. 24. Penalties. Sec. 25. Jurisdiction of Other Government Agencies Over Securities. Sec. 26. Separability of Provisions. Sec. 27. Private Securities Litigation. Sec. 27A. Application of Safe Harbor for Forward-Looking Statements. Sec. 27B. Conflicts of Interest Relating to Certain Securitizations. Sec. 28. General Exemptive Authority. Schedule A. Schedule B. SHORT TITLE SEC. 1. This title may be cited as the ‘‘Securities Act of 1933’’. (May 27, 1933, ch. 38, title I, Sec. 1, 48 Stat. 74.) DEFINITIONS SEC. 2. (a) DEFINITIONS.—When used in this title,...
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...I. Issue- Do mobile homes fall under UCC as good not real estate? II. Rule: N.C. Gen. Stat. § 25-2-102 (2009), the law traditionally treats a mobile home not as an improvement to real property but as a good, defined and controlled by the UCC as something movable at the time of identification to the contract for sale. III. Application of facts-. The defendant sold the plaintiff a mobile home. Since the mobile home was on a brick foundation the plaintiff contends that it was real estate and not a good under UCC. IV. Conclusion: Because the plaintiff had crew break down the home from the brick foundation and remove it’s under pins, the home therefor is considered moveable, and falls under the UCC as good. V. Issue- Does the transfer of risk of loss of the mobile fall under UCC or DMV? VI. Rule: N.C. Gen. Stat. § 25-2-509 if the contract does not provide for the seller=s shipment of the goods by carrier or a bailees holding of the goods for delivery without being moved, and the seller is a merchant, and the risk of loss passes to the buyer on his receipt of the goods if the seller is a merchant VII. Application of facts- Defendant proposed a contractual provision requiring it to relocate the mobile home from its existing location to Plaintiff=s property, but Plaintiff ultimately declined the inclusion of such provision. Instead, Plaintiff elected to purchase and accept the mobile home “As is where is”, as reflected in the sales contract. VIII. Conclusion:...
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...the FTC (Federal Trade Commission), most of the companies were big name cigarette companies. A research laboratory stated that no exact name brand of cigarettes was markedly more damaging and in other cases harmful to many others. Statistics show the comparison and the factor of how much nicotine and tar are in big cigarette companies. . Lorillard stated that his brand had for a fact the lowest amount of nicotine and tar in their cigarettes. In a 1950 a decision the change the rule of law, the Fourth Circuit Court of Appeals, upholding the commission's cease-and-desist order, it made them declared that Lorillard's advertising violated the FTC Act and its rule of law because, by printing small parts of the article, it created an entirely false and misleading impression giving people false information and false belief....
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...Indian Institute Of Management Lucknow August 2013 A MICROECONOMIC STUDY ON GOLD Submitted to Professor Sanjay K Singh By Section E, Group J Aman Doharey (PGP30244) Mahesh Raja R (ABM11045) Prerna Pal (PGP30265) Rohit Mandappalli (PGP29341) Shradhha MeryllinePanna (PGP30280) Swagata Das Chowdhury (PGP30419) Tanuj Kumar Lodhi (PGP30420) Table of Contents Introduction Background Protection Requirement Elasticity Of Gold Gold Consumption Scenario in India Need and Objective Of Study Research Methodology Tools and Techniques Hypotheses Data Analysis 1. US Dollar 2. Crude Oil 3. Silver 4. Inflation 5. Sensex Values Findings and Conclusions INTRODUCTION This report emphasizes on studying, interpreting and illustrating the various economic factors affecting the consumption and price of the precious metal Gold. We examine the impact of factors that maybe reason for such distortion and also see how the change in gold price impacts other commodities in the open market. Background Used as a sovereign since ages, gold has always been a sought after commodity. The price variation has almost always been upwards and has had a steep rise in this trend. A few pointers about Gold can be inferred as below. Production Gold is majorly obtained through mining, other sources may include recycling, trading etc. Through these sources gold enters the market. Requirement Gold is an essential commodity in any country’s economic...
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...conclusion, there are many reasons why we should ban puppy mills (“Buyer Beware: The Problem with Puppy Mills and Backyard Breeders”). Secondly, there are multiple statistics on why we should ban puppy mills. There are 3 million puppies that are killed in shelters due to the cages being too full or if they are not adopted by their due date of being put down (“11 Facts About Puppy Mills”). There is an estimate of at least 10,000 puppy mills in the U.S. Out of all the puppy mills, there are 3,000 that are regulated by the U.S. Department of Agriculture (“11 Facts About Puppy Mills”). Also, there are only 3,000 puppy mills that get inspected through the arm of the U.S. Department of Agriculture (“11 Facts About Puppy Mills”). Animals have no legal representation against these emotionally and physically abusive intuitions. There is only one company that is willing to upgrade the Animal Welfare Act to protect these animals, and that is HSUS. Merciless dog breeders sell puppies and operate without consequences. Lastly, almost 500,000 dogs are kept in puppy mills just for the sake of breeding (“Puppy Mills Statistics – Shocking Facts And Stats”). Puppy...
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...the value of β under the null hypothesis. In a two tail test, the null and alternative hypotheses are: H0 : β = β 0 HA : β = β0 ˆ We proceed by estimating β. We denote the estimated value as β. This could for example be a sample mean estimate of the population mean, a least squared estimate of a regression coefficient, or a maximum likelihood estimate of a model coefficient, ˆ depending on the context. The estimate β is usually accompanied by a standard error ˆ to indicate how precisely it is estimated. We denote this standard error as se(β). This ˆ is a random variable with a sampling distribution. It will have reflects the fact the β different values in different samples. We can then form the following test statistic by computing the standardised statistic ˆ whereby we subtract the hypothesisized value β0 from the estimate β and divide by its standard error: t-stat = ˆ β − β0 ˆ se(β) ˆ Again, this test statistic is a random variable since it depends on β, which is itself a random variable. To make inference and do hypothesis testing about the value of β, we must assume a distribution for the above test statistic. This distribution is based on the null hypothesis being true. Since, for an unbiased estimate, the test statistic has zero mean and is standardised by its standard error, the test statistic doesn’t depend on the 1 units of β,...
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...I would like to start off by saying that I thought that Zahra’s evaluation of the health disparities in Afghanistan was put together very well and it is evident that she took the time to learn about the stats regarding the overall health and healthcare system as well as the culture which seems to be the underlying problem in the decisions regarding the healthcare for men and women in the country. Zahra has a sufficient amount of sources and in my brief research of Afghanistan health disparities regarding sex: every significant figure which I found for her argument was touched on during one point or another in the paper. That being said, I felt as though the organization of the paper overall was a bit less than “fluid”. While all paragraphs...
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...I grew up in Detroit, Michigan where more than a third of residents live below the poverty line (Sasha Abramsky, "America's Shameful Poverty Stats"). Throughout my childhood I have watched many friends' families struggle financially. Sometimes my friends would go without eating for a couple of days simply because they could not afford it. I would offer them food but they would kindly decline because they were so embarrassed because of their situation. They would wear clothes that wouldn't fit them because they couldn't afford to buy new clothes. They would miss school to watch their little siblings because their mom was a single parent and had to work all day everyday just so she could feed them. They didn't even apply to college because they knew they had to immediately pick up a crapy job so they could help their mom pay the bills. The list goes on. All of this is happening under your supervision and it doesn't seem like much is affectively fixing this issue. America's lowest percentage of citizens living below the poverty line was 11.1 percent in 1973. It reached 15.2 percent in 1983 then dropped again to 11.3 percent in 2000 (Peter Edelman, "Poverty in America; Why Can't We End It?"). That just proves the government is capable of slightly decreasing the amount of poor people today in this country. What does not help is the fact that half of the nations jobs pay less than $34,000 a...
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...Nutrition Facts: Calories: 3149 Fats: 84g Protein: 290g Carbs: 308g MEAL 1: * ------------------------------------------------- Ezekial bread 2 slices * ------------------------------------------------- natural peanut butter 2 tbsp * ------------------------------------------------- eggs 1 whole egg, 5 egg whites * ------------------------------------------------- olive oil ½ tbsp * ------------------------------------------------- strawberries 1 cup Calories: 621 | Fats: 29 Grams | Protein 44 Grams | Carbs 46 Grams MEAL 2: * ------------------------------------------------- tuna 1 can * ------------------------------------------------- whole-wheat pita 1 * ------------------------------------------------- sliced veggies (mushrooms, cucumbers, bell peppers, spinach) 1 cup * ------------------------------------------------- balsamic vinegar mixed with olive oil 1 tbsp vinegar, ½ tbsp olive oil Calories: 355 | Fats: 9 Grams | Protein 38 Grams | Carbs 30.5 Grams MEAL 3: * ------------------------------------------------- grilled chicken 4 oz * ------------------------------------------------- cooked quinoa ½ cup * ------------------------------------------------- steamed green beans 1 cup * ------------------------------------------------- almonds 10 Calories: 419 | Fats: 12 Grams | Protein 44 Grams | Carbs 34 Grams PRE-WORKOUT MEAL: * ------------------------------------------------- ...
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...Paragraph two elaborates on the fact that 18 year olds are legally able to be drafted, vote, and buy pornography. The writer says that if an 18 year is allowed to do those three, it is absurd that 18 year olds can't drink alcohol. Alcohol is an illegal drug that has been the reason of many 18 year old teens having to be rushed to the hospital, and many times worse. The writer then begins to add illogical statements by saying the reason why teenagers get drunk is because they have to drink at large house parties where they over indulge and problems happen. This is illogical because they do not put any stats to prove the argument. The argument then becomes about lowering the drinking age to 18 because it will give teenagers more equitable rights under the law. This is illogical because the writer does not know whether or not they would change the rights and laws to accommodate the drinking age begin lowered. No human has the stats showing that the drinking age being lowered to 18 would lower the incident of teen drunkenness. Ending the paragraph by saying teens would legally be aloud to drink by rebellion and that teens should be trusted to make good decisions is illogical because many stats have shown the scary amount of incidents of teen drunk drivers. Death penalty is a deep topic of discussion but may be necessary for discipline. The incident in Springfield shows us that some humans become psycho and lose their minds. For a human being to abduct innocent children and torture...
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...JOHN SMITH, et al., Defendants. _________________________________________/ Case No.: _____________ MEMORANDUM OF LAW IN SUPPORT OF ADMISSION OF BUSINESS RECORDS AT TRIAL COMES NOW the Plaintiff, BANK by and through its undersigned counsel, and pursuant to Fla. Stat. 90.803(6) files this Memorandum of Law in Support of the Admission of its Business Records at the trial of this case held on March 7, 2012. MEMORANDUM OF LAW This is a mortgage foreclosure action which was tried on March 7, 2012. At the trial of this case, Plaintiff’s representative appeared as the Records Custodian and corporate representative of the Plaintiff, Bank. In seeking to introduce the admission of the Note, Mortgage, payment history, demand letter (Intent to Accelerate), and The Plaintiff’s Records Custodian testified under oath: a. That the records sought to be introduced were made at or near the time of the event; b. The records were made by or from information transmitted by a person with knowledge; c. The records were kept in the ordinary course of a regularly conducted business activity; d. And that it was a regular practice of Bank of America to make such a record. Pursuant to Fla. Stat. 90.803(6) this testimony is sufficient for the introduction of the Plaintiff’s records under the Business Records exception to the hearsay rule. See Freemon v. Deutsche Bank Trust Co., 46 So. 3d 1202 (4th DCA 2010) (affirming judgment for bank where affiant for bank in foreclosure action...
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...Basic Definitions & Concepts: Data: facts/figures from which conclusions can be drawn Data Set: data that are collected for particular study Elements: people, objects, events, or other entries Variable: any characteristic of an element Population: set of all elements about which we wish to draw conclusions Census: examination of all population measurements Sample: subset of the units of a population Population (Param.) & Sample (Stat.) Population: group of all items of interest and then the Sample: is the set of data drawn from the pop. Parameter: A descriptive measure of population Statistic: A descriptive measure of a sample “A politician is running for office of mayor in a city w/ 25,000 voters. In survey, 48% of the 200 voters that were interviewed say they will vote for her.” Pop: voters, Sample: 200 voters, Parameter/Statistic: Statistic Descriptive vs. Inferential Stats Descriptive: Organize, Summarize, Simplify, Presentation of data describes data Inferential: Generalize from sample to pop, Hypothesis testing, Relationship among variables Make predictions from this Categorical vs. Quantitative Var. Categ: places individual into a category (Also Ordinal if there is an order in the categ. Nominal if it is a name of something) Quant: numerical and math operations make sense (Interval if can find interval b/w the data) Shapes of Histograms Symmetry: draw vertical line in the middle= will be same on both sides Skew: Long tail on one side...
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