随机抽样代写 – Probability Sampling -数理统计代写 – 英国留学

 Probability Sampling

随机抽样代写  Sampling is a very important component of research. One of the methods of sampling is probability sampling which uses..

Introduction

Sampling is a very important component of research. One of the methods of sampling is probability sampling which uses different random sampling methods .  To select a sample from the entire population. In probability sampling, every person in the population has the chance of getting selected for the research,

and the selection is entirely random. This method gives the researcher the chance of getting a sample that truly represents the population.

译文：介绍  随机抽样代写

抽样是研究的一个非常重要的组成部分。 抽样方法之一是概率抽样，它使用不同的随机抽样方法。 从整个总体中选择一个样本。 在概率抽样中，人口中的每个人都有机会被选中进行研究，

并且选择完全是随机的。 这种方法使研究人员有机会获得真正代表总体的样本。

There are different methods for probability sampling which include;

1. Simple random sampling


2. Systematic sampling


3. Cluster random sampling


4. Stratified random sampling


5. Multi stage random sampling

Simple random sampling, as the name suggests is a completely random technique to select a sample that is representative of the overall population. Numbers are assigned to the subjects and then a random number generator is used to select the audience for the survey.

Stratified random sampling on the other hand requires the population to be split up into groups which are known a strata, and then the members are selected randomly from each stratum. Systematic sampling is even easier to do, as the researcher attains a list of the population and every nth person is selected to be part of the sample.

For example, every 10^th person could be selected to be part of the sample, which makes the shortlisting of the audience for the survey a bit easier. And finally there is the method of systematic sampling which is basically an extension of simple random sampling.

The researcher creates clusters from the population which can be based on location or accessibility and then randomly selects a sample from within that to conduct research.

The multistage random sampling could be a combination of the aforementioned techniques, depending on the requirements of the research.

译文：概率抽样有不同的方法，包括：  随机抽样代写

简单随机抽样
系统抽样
集群随机抽样
分层随机抽样
多阶段随机抽样

顾名思义，简单随机抽样是一种完全随机的技术，用于选择代表总体总体的样本。将数字分配给主题，然后使用随机数生成器来选择调查的受众。

另一方面，分层随机抽样要求将总体分成已知层的组，然后从每个层中随机选择成员。系统抽样更容易进行，因为研究人员获得了一份总体清单，并且每第 n 个人都被选为样本的一部分。

例如，可以选择每 10 个人作为样本的一部分，这使得调查受众的候选名单更容易一些。最后是系统抽样方法，它基本上是简单随机抽样的延伸。

研究人员可以根据位置或可访问性从人口中创建集群，然后从其中随机选择一个样本进行研究。

多阶段随机抽样可以是上述技术的组合，这取决于研究的要求

Target Population

For the cereal manufacturer who wishes to learn the breakfast habits and preferences of the general population the target audience should be male/ female, in the ages of 16 to 35 who wish to have a healthy breakfast that keep them fit and energized throughout the day.

They are part of SEC A-, B+, B, and B-, anybody who wishes to eat healthy and are more conscious about their health. Plus they are people who have a busy schedule and cereals ensure that they have quick and healthy meal.

译文：目标人群  随机抽样代写

对于希望了解普通人群早餐习惯和偏好的谷物制造商而言，目标受众应该是 16 至 35 岁的男性/女性，他们希望拥有健康的早餐，让他们全天保持健康和精力充沛。 他们是 SEC A-、B+、B 和 B- 的一部分，任何希望吃得健康并且更加关注自己健康的人。 此外，他们是日程安排繁忙的人，而谷物食品可确保他们快速健康地用餐。