Write Definition Essay correctly

Write Definition Essay correctly How to write a Definition Essay Definition Essay is a personal, but academic definition of one particular word. The description of this word must be long and very thorough. There is no doubt that this word should be very interesting so that you can write a lot of information about it. The purpose of writing Definition Essay is to teach students to give definitions to words competently and maximally deployed. Below is a series of tips on how to write a good Definition Essay. In the beginning there was a word... No, it's not about the Bible. Simply you need to choose a complex word with an abstract meaning. If this is a simple word, like a "rabbit", you simply will not be able to write enough about it. The concept of Definition Essay implies the use of a word that denotes an idea, not a person, an animal or an object. Because the idea will give more material to study. The essay about the rabbit can be very funny and interesting, but maybe boring. However, if we move on to something more abstract, for example, to the word "outskirts", we immediately have a large space for reflection. The word you choose should be controversial. For example, it must mean different things to different people. If we recall the definition of an essay, then we will understand that it is subjective. In the essay, you analyze and define the word from your point of view. It is very important that the description of the word be unique so that it does not coincide with the description of the same word from another student. Otherwise, the teacher will decide that your essay lacks depth. Choose only the word that you are familiar with. For example, if you do not know what "sophisticated" is, do not use this word in your work. You must have your own knowledge of this word so that your definition is as unique as possible. Read the dictionary definition Do not think that you need to rely only on the definition of the dictionary. But familiarity with the official definition is useful. So you will compare your understanding of the meaning of the word with its scientific explanation. The definition of the dictionary will give you food for thought. This is information from which you will start. For example, in a dictionary, such definition of the word "criminal" is written: "One who has committed something unauthorized, banned or harmful to anyone or anything." You have your own beliefs and ideas about who the criminal is. However, you should rely on the basic definition. Interview your friends In order to make it easier for you to make a detailed description of your word, we offer you the following exercise. Ask each of your friends or parents to give their definition of this word. Write down each definition. Then answer the following questions: 1. What definition did most of the people you interviewed give? 2. What definitions are beneficial? 3. What definitions are disadvantages? 4. What is the difference between the values? 5. Is there a correlation between these values? 6. What is in common between the definition of the dictionary and the definition your friend gave you? 7. Â  Is there anything in common in the definitions given by one group of people (for example, women, men, young people, elderly people). In addition to the survey and the dictionary, you can use other sources: 1. The Internet; 2. Television; 3. Books; 4. Journals; 5. Questionnaires on social networks. The origins of words also matter Do not forget to read the meaning of the word in the Oxford English Dictionary. This is an etymological dictionary that describes the origins of a word, its history. It says that this word meant earlier, what it means today. All this is useful additional information for your essay. Do an in-depth analysis In the main part of the essay, you need to analyze the selected word. Analyze each part of it in a separate paragraph. For example, the word "relationship" can be divided into two words: "relation" and "ship". In order to analyze each part of the word, use classification and negation. But remember that this principle is suitable only for words that contain several parts. For example, the word "like" cannot be divided. Then carry out the classification of the term. You must specify which classes and parts of speech belong to the word according to the definition of the dictionary. An unknown term you can compare with a known. For example, not everyone knows the word "campaigner". Â  It means a person who serves in the house (butler) or means a person who participates in the election campaign. Conduct explanations using concepts that are accessible to the common man. Compose the structure of the essay In the first part of Definition Essay, place the standard definition from the dictionary. Next, specify your own definition, so that the reader can compare it with the standard definition, find similarities and differences. Next, describe the origin of the word, conduct its classification and analysis. The next part should be devoted to analyzing your definition of this word. You need to divide the parts of the definition into separate paragraphs. Create a complete picture of this term. In the last paragraph, summarize and draw a conclusion. When Definition Essay is ready, do not forget to check it for grammatical and spelling errors.

What Is a P-Value

What Is a P-Value Hypothesis tests or test of significance involve the calculation of a number known as a p-value. This number is very important to the conclusion of our test. P-values are related to the test statistic and give us a measurement of evidence against the null hypothesis. Null and Alternative Hypotheses Tests of statistical significance all begin with a null and an alternative hypothesis. The null hypothesis is the statement of no effect or a statement of commonly accepted state of affairs. The alternative hypothesis is what we are attempting to prove. The working assumption in a hypothesis test is that the null hypothesis is true. Test Statistic We will assume that the conditions are met for the particular test that we are working with. A simple random sample gives us sample data. From this data we can calculate a test statistic. Test statistics vary greatly depending upon what parameters our hypothesis test concerns. Some common test statistics include: z - statistic for hypothesis tests concerning the population mean, when we know the population standard deviation. t - statistic for hypothesis tests concerning the population mean, when we do not know the population standard deviation. t - statistic for hypothesis tests concerning the difference of two independent population mean, when we do not know the standard deviation of either of the two populations. z - statistic for hypothesis tests concerning a population proportion. Chi-square - statistic for hypothesis tests concerning the difference between an expected and actual count for categorical data. Calculation of P-Values Test statistics are helpful, but it can be more helpful to assign a p-value to these statistics. A p-value is the probability that, if the null hypothesis were true, we would observe a statistic at least as extreme as the one observed. To calculate a p-value we use the appropriate software or statistical table that corresponds with our test statistic. For example, we would use a standard normal distribution when calculating a z test statistic. Values of z with large absolute values (such as those over 2.5) are not very common and would give a small p-value. Values of z that are closer to zero are more common, and would give much larger p-values. Interpretation of the P-Value As we have noted, a p-value is a probability. This means that it is a real number from 0 and 1. While a test statistic is one way to measure how extreme a statistic is for a particular sample, p-values are another way of measuring this. When we obtain a statistical given sample, the question that we should always is, â€Å"Is this sample the way it is by chance alone with a true null hypothesis, or is the null hypothesis false?† If our p-value is small, then this could mean one of two things: The null hypothesis is true, but we were just very lucky in obtaining our observed sample.Our sample is the way it is due to the fact that the null hypothesis is false. In general, the smaller the p-value, the more evidence that we have against our null hypothesis. How Small Is Small Enough? How small of a p-value do we need in order to reject the null hypothesis? The answer to this is, â€Å"It depends.† A common rule of thumb is that the p-value must be less than or equal to 0.05, but there is nothing universal about this value. Typically, before we conduct a hypothesis test, we choose a threshold value. If we have any p-value that is less than or equal to this threshold, then we reject the null hypothesis. Otherwise we fail to reject the null hypothesis. This threshold is called the level of significance of our hypothesis test, and is denoted by the Greek letter alpha. There is no value of alpha that always defines statistical significance.