• Research Paper on:
    Inferential Statistics/Nursing

    Number of Pages: 3

     

    Summary of the research paper:

    A 3 page research paper that discusses how inferential statistics are used in nursing research. Bibliography lists 4 sources.

    Name of Research Paper File: KL9_khinfstats.doc

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    listed below. Citation styles constantly change, and these examples may not contain the most recent updates. Inferential Statistics/Nursing   Enterprises Inc. By - properly! Once public health researchers have described the variances  in the aspect of disease incidence that they are researching, they typically also wish to formulate inferences based upon the measurements that they have taken in regards to specific populations  (Heavey, 2011). This practice involves "inferential statistics," which are associated with "probabilities" that relate to "each variable studied" (Heavey, 2011, p. 34). The "probabilities" that are investigated refer to  the chances that a "particular outcome will occur" (Heavey, 2011, p. 34). For instance, say that a class of nursing students contains 74 women and 25 men. Calculating the probability  that a randomly chosen students from this class will be a woman is 75 percent (Heavey, 2011). As this suggests, inferential statistics, which are based on the laws of  probability, provide a method that allows researchers to generate conclusions about a given population sample, based on data about that sample (Polit and Beck, 2008). In other words, inferential statistics  provide a means of reaching conclusions that extend beyond the parameters of the immediate data (Trochim, 2006). Inferential statistics can be used in a variety of ways. For example, researchers  may wish to compare two groups in regards to a single variable or measure the performance of experimental groups versus those in a control group (Trochim, 2006). While it  is also true that probability estimates necessarily involve a margin of error, inferential statistics offers a structure that allows researchers to make "objective judgments about their reliability" (Polit and Beck, 

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