Sample Essay 1

Theme: Some people like to eat at restaurants and grocery departments, others like to eat at home. which do you like? Provide reasons and examples to support your choice

Eating out can be a very enjoyable experience. Let's have dinner with friends, take a romantic dinner on a date, or party at a restaurant and celebrate the special event we want to do. Still, few people eat out, there are many advantages to eating at home. Eating at home is cheap. Eating at home is healthy and usually more comfortable. For me, I definitely like eating at home.

First of all, eating at home is much cheaper than eating at a restaurant. Obviously, as we eat at home, we do not have to pay labor costs for chefs, waiters and other restaurant staff as we prepare, cook and serve ourselves. Likewise, there are no other expenses such as restaurant rents or utilities. Further cost savings are materials that we buy for home cooking, and we can choose cheaper materials.

Secondly, eating at home is much better for our health and general health than eating outside. When at home, when we cook ourselves, we can make sure that what we eat is not bad for us. We can adjust the amount of oil we use. We can control the amount of salt we use and we can balance our diet to meet our own individual needs. These are impossible when we eat at the restaurant. At home, we can cook enough food to satisfy us. In a restaurant, we often eat too much or too little on a dish.

Finally, eating at home is much more comfortable than taking dinner or lunch in a public place. In the home you can relax than the restaurant. You can wear comfortable casual wear even in pajamas. We can sit comfortably on our favorite chair, on the sofa, or on the floor. If we like, we can watch TV, watch video and listen to radio programs. These can not be done at the restaurant. Also, you do not have to worry about disturbing other people at home. You can speak loudly and laugh without making the person sitting near you feel uneasy.

In a nutshell, I think eating at home is better than eating at restaurants and stalls for comfort, cost, and health. I go out and eat again and often eat once a week, but this is not something I can do everyday. I am comfortable wearing clothes, sitting in front of the TV and enjoying delicious homemade meals in my house, so I'm very happy to eat at home instead of in a stall or a restaurant. (492 words)

Task 1: Copy this article and paste it into Microsoft Word. Identify the different parts of the paper and highlight them with the following color codes -

Construct the actual composite. For each compound, 1) locate the row in the composite and topic table, 2) sample the subject based on the probability in the row, 3) move to the parts and topic table, 4) find the sample theme, 5) The probability in the sample is sampled according to 6) repeat from step 2 until the number of parts set by the complex is reached. Before proceeding, I will explain a bit about Dirichlet's distribution. Shown above is an iteration that uses incremental alpha values ​​to obtain 1000 samples from the Dirichlet distribution. Dirichlet distribution takes numbers (called alpha in most places) for each topic (or category). For GIF and our purposes, each theme gives the same alpha value you see. Each point represents a distribution or mixture of three topics, such as (1.0, 0.0, 0.0) or (0.4, 0.3, 0.3). Remember, you need to add up to one sample

Since σ 2 / (n - 1) is constant for a given σ 2 and the sample size (n), the distribution of sample variance (distribution of sample variance set) has a distribution of 2 1 '. . Since the σ 2 distribution is distorted, this indicates that the distribution of s 2 is too large - the average of many s 2 measurements is equal to σ 2, but half of the time above s 2 is less than σ 2 It will be smaller. This is because the distribution of s 2 is distorted (because there are two distributions) and when s 2 is used as the estimate of σ 2 we use the t test instead of the Z test. Of course, the larger the sample, the larger the df of the σ 2 distribution. Therefore, the more tilt the t distribution becomes like the normal distribution.