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HIMS 650 Week 5 Inferential Versus Descriptive Statistics
respond should be in 100 words references minimum.
Peer # 1
Descriptive statistics summarizes data where inferential statistics evaluates whether the data is generalized to a broader population. In inferential data you can use presented data to draw a conclusion. “Inferential statistics are an extension of the natural human tendency toward inference and are powerful tools that can help answer questions such as how much, how many, or how often” (Pfleger & Kimmons, 1970)
Common inferential statistical methods are:
Hypothesis tests- Hypothesis testing is where an analyst tests an assumption regarding a population variable (Majaski, 2021).
Confidence intervals- probability that a population variable will fall betwix a set of values for a certain time (Hayes, 2021).
Regression analysis- mathematically sifts through which variables have an impact (Gallo, 2015).
Interferential statistical methods are a significant components of data analytics based on its ability to make predictions and generalizations regarding many individuals without getting the information directly from each person one by one but by a sample of data (Descriptive Statistics vs Inferential Statistics, 2019). A great example of using statistical data are reviews that are used to give rations on services. Not every single person that visits a resort completes a review but based on reviews they receive their star ratings.
Another great example is the numbers used to make decision regarding preference in a set area; ‘people who live in the city prefer to take the train verses driving to work’. Inferential statistics are known to be getting closer to many circles, being used often by survey institutions in releasing their results which greatly affect the decisions made for the population (Inferential Statistic, 2019).
Reference:
Descriptive Statistics vs Inferential Statistics. (2019, January 04). Retrieved from
Gallo, A. (2015). A Refresher on Regression Analysis. Retrieved from https://hbr.org/2015/11/a-refresher-on-regression-…
Hayes, A. (2021, September 13). Confidence Interval Definition. Retrieved from https://www.investopedia.com/terms/c/confidenceint…
Peer #2
Statistics is segmented into two broad categories named descriptive and inferential. Descriptive statistics describe the distribution of variable interest whereas Inferential statistics are used to test hypotheses or make decisions. (Oachs 2020)
Statistical methods involve the carrying out of planning, designing, collecting of data, analyzing of the data and drawing a meaningful interpretation and reporting of the findings. Statistics provide meaning to numbers giving meaningless number, a breath of life for lifeless data.
Statistics being a branch of science that deals with the collection, organization, analysis of data and drawing inference from the samples for a whole population. It requires proper design of the study, appropriate selection of the study samples as well as a choice of a suitable statistics test. (Ali & Bhaskar, 2016)
In burn research the uses a variety of descriptive and inferential methods to present and analyze data. Descriptive methods in burn research include mean, median, standard deviation, and range whereas inferential methods can be used from articles or Journals referencing burns. (Al-Benna et.al 2010)
HIMS 650 Week 5 Inferential Versus Descriptive Statistics
RUBRIC |
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Excellent Quality 95-100%
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Introduction
45-41 points The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned. |
Literature Support 91-84 points The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned. |
Methodology 58-53 points Content is well-organized with headings for each slide and bulleted lists to group related material as needed. Use of font, color, graphics, effects, etc. to enhance readability and presentation content is excellent. Length requirements of 10 slides/pages or less is met. |
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Average Score 50-85% |
40-38 points More depth/detail for the background and significance is needed, or the research detail is not clear. No search history information is provided. |
83-76 points Review of relevant theoretical literature is evident, but there is little integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are included. Summary of information presented is included. Conclusion may not contain a biblical integration. |
52-49 points Content is somewhat organized, but no structure is apparent. The use of font, color, graphics, effects, etc. is occasionally detracting to the presentation content. Length requirements may not be met. |
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Poor Quality 0-45% |
37-1 points The background and/or significance are missing. No search history information is provided. |
75-1 points Review of relevant theoretical literature is evident, but there is no integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are not included in the summary of information presented. Conclusion does not contain a biblical integration. |
48-1 points There is no clear or logical organizational structure. No logical sequence is apparent. The use of font, color, graphics, effects etc. is often detracting to the presentation content. Length requirements may not be met |
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HIMS 650 Week 5 Inferential Versus Descriptive Statistics |
HIMS 650 Week 5 Inferential Versus Descriptive Statistics