Find and summarize an additional resource, discussing the applicability of statistics in the real world. Pick out a key item in this resource that applies terminology from Week 1 such as numerical and categorical data, sampling principles, and/or experimental design (USLO 1.1, 1.2, 1.3, & 1.4). This can be a scholarly or non-scholarly resource. Be sure to reference with in-text citations (author, date) when necessary and in APA format. See the example below for correct APA referencing format:
Last Name, First initial. (date) Title of article in sentence format. Location of article such as Retrieved from <insert URL> or Journal in italics followed by volume, page # and doi when available
Dasgupta, A. (2018) Statistics in the real world. The American Statistician, 72(2), 114-119. doi: 10.1080/00031305.2017.1413136.
The article by Dasgupta (2018) emphasizes the importance of statistics in the real world and how it impacts decision making. The author highlights that statistical concepts such as numerical and categorical data, sampling principles, and experimental design are widely used in different fields like healthcare, finance, and politics. For instance, in healthcare, statistics help to evaluate the effectiveness of medical treatments through randomized controlled trials (RCTs) and experimental design. In finance, statistics play a vital role in analyzing and predicting market trends, while in politics, polls and surveys provide insight into public opinion.
One key item in this resource is the discussion on sampling principles. Dasgupta (2018) explains that sampling is essential in statistics as it allows for the collection of data from a smaller subset of the population, which can then be used to generalize and draw conclusions about the entire population. The author emphasizes the importance of using a representative sample, which ensures that the sample is not biased and accurately reflects the characteristics of the population. Dasgupta (2018) also notes that sampling methods can vary depending on the type of data being collected, with random sampling being the most commonly used method.
Overall, this article provides a good overview of the role of statistics in various fields and highlights the importance of statistical concepts such as numerical and categorical data, sampling principles, and experimental design.