一个简单的随机样本随机抽取一个组的参与者。分层随机样本要求随机选取不同群体的参与者。这些子集可能包括地理位置、年龄、性别、种族或社会经济地位等特征。研究人员利用统计数据来确定研究结果是否支持最初的假设，并确定结果是否具有统计学意义。统计意义意味着研究结果不太可能仅仅是偶然发生的。用于分析数据的统计方法的类型主要取决于您收集的数据类型。如果你使用的是一个更大群体的随机样本，你将需要使用推论统计学。这些统计方法可以推断出与总体人口有关的结果。因为你是根据一个样本进行推论的，所以你必须假设在进行心理学实验的最后一步是要传达你的结果。了解更多关于心理学论文的结构，并找到写作每个部分的技巧。
美国佛蒙特论文代写:随机样本抽取
A simple random sample involves randomly selecting a number of participants from a group. A stratified random sample requires randomly selecting participants from different subsets of the population. These subsets might include characteristics such as geographic location, age, sex, race or socioeconomic status. Researchers utilize statistics to determine if the results of the study support the original hypothesis and to determine if the results are statistically significant. Statistical significance means that the results of the study are unlikely to have occurred simply by chance. The types of statistical methods you use to analyze your data depend largely on the type of data that you collected. If you are using a random sample of a larger population, you will need to utilize inferential statistics. These statistical methods make inferences about how the results related to the population at large. Because you are making inferences based upon a sample, it has to be assumed that there will be a certain margin of error The final step in conducting your psychology experiment is to communicate your results. Learn more about the structure of a psychology paper and find tips for writing each section.
