Biostatistics homework-Sampling is an important concept within the life sciences. Ideally, we would collect information for entire populations that we want to study, but this is rarely feasible. It is important that samples have characteristics that are similar to the populations they come from, and we call this a representative sample. If this isn't the case, then it becomes unlikely that the information provided by the sample will be able to be generalized (extended) to the population of interest.

Sampling in Research For this assignment, begin by finding two peer-reviewed journal articles. Review each one, focusing on the sample that was used and how it was obtained. Then, compose a paper of 2 pages in which you complete the following: Briefly summarize the topic of the research discussed in each study. Describe the sample for each and explain how it was obtained. Evaluate how well each sample represents the corresponding population. Be sure to include supporting detail from the readings, as well as other scholarly sources. Please be sure to use college level writing, and to cite all sources used in APA style, including in-text citations and a reference list. Bonus short 3 sentences only*****Discussion: Types of Variables No unread replies.No replies. We will kick off our course with a discussion of a concept that is a foundation of statistics - variables! There are different types of variables, including both categorical and continuous. Categorical variables can be binomial or nominal, while continuous variables can be ordinal, interval, or ratio. When analyzing data, the types of variables involved is a key factor in selecting the most appropriate analysis. Finding Variables For this discussion, begin by locating a published research article from a peer-reviewed journal. Review the article, and then develop a main response in which you address the following: Summarize the study's main points, including topic, purpose, and findings. Describe the variables of interest and identify what type they are. Explain how each variable is measured, and reflect on any potential limitations.