Solved: NR 504 Week 7 Discussion: Hypothesis Testing
Chamberlain University Solved: NR 504 Week 7 Discussion: Hypothesis Testing– Step-By-Step Guide
This guide will demonstrate how to complete the Chamberlain University Solved: NR 504 Week 7 Discussion: Hypothesis Testing assignment based on general principles of academic writing. Here, we will show you the A, B, Cs of completing an academic paper, irrespective of the instructions. After guiding you through what to do, the guide will leave one or two sample essays at the end to highlight the various sections discussed below.
How to Research and Prepare for Solved: NR 504 Week 7 Discussion: Hypothesis Testing
Whether one passes or fails an academic assignment such as the Chamberlain University Solved: NR 504 Week 7 Discussion: Hypothesis Testing depends on the preparation done beforehand. The first thing to do once you receive an assignment is to quickly skim through the requirements. Once that is done, start going through the instructions one by one to clearly understand what the instructor wants. The most important thing here is to understand the required format—whether it is APA, MLA, Chicago, etc.
After understanding the requirements of the paper, the next phase is to gather relevant materials. The first place to start the research process is the weekly resources. Go through the resources provided in the instructions to determine which ones fit the assignment. After reviewing the provided resources, use the university library to search for additional resources. After gathering sufficient and necessary resources, you are now ready to start drafting your paper.
How to Write the Introduction for Solved: NR 504 Week 7 Discussion: Hypothesis Testing
The introduction for the Chamberlain University Solved: NR 504 Week 7 Discussion: Hypothesis Testing is where you tell the instructor what your paper will encompass. In three to four statements, highlight the important points that will form the basis of your paper. Here, you can include statistics to show the importance of the topic you will be discussing. At the end of the introduction, write a clear purpose statement outlining what exactly will be contained in the paper. This statement will start with “The purpose of this paper…” and then proceed to outline the various sections of the instructions.
How to Write the Body for Solved: NR 504 Week 7 Discussion: Hypothesis Testing
After the introduction, move into the main part of the Solved: NR 504 Week 7 Discussion: Hypothesis Testing assignment, which is the body. Given that the paper you will be writing is not experimental, the way you organize the headings and subheadings of your paper is critically important. In some cases, you might have to use more subheadings to properly organize the assignment. The organization will depend on the rubric provided. Carefully examine the rubric, as it will contain all the detailed requirements of the assignment. Sometimes, the rubric will have information that the normal instructions lack.
Another important factor to consider at this point is how to do citations. In-text citations are fundamental as they support the arguments and points you make in the paper. At this point, the resources gathered at the beginning will come in handy. Integrating the ideas of the authors with your own will ensure that you produce a comprehensive paper. Also, follow the given citation format. In most cases, APA 7 is the preferred format for nursing assignments.
How to Write the Conclusion for Solved: NR 504 Week 7 Discussion: Hypothesis Testing
After completing the main sections, write the conclusion of your paper. The conclusion is a summary of the main points you made in your paper. However, you need to rewrite the points and not simply copy and paste them. By restating the points from each subheading, you will provide a nuanced overview of the assignment to the reader.
How to Format the References List for Solved: NR 504 Week 7 Discussion: Hypothesis Testing
The very last part of your paper involves listing the sources used in your paper. These sources should be listed in alphabetical order and double-spaced. Additionally, use a hanging indent for each source that appears in this list. Lastly, only the sources cited within the body of the paper should appear here.
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Describe a hypothesis test study that would help your work or conclusions in some way. Describe what variable would be tested and what would be your guess of the value of that variable. Then include how the result, if the null were rejected or not, might change your conclusions or actions in some way.
Sample Answer for Solved: NR 504 Week 7 Discussion: Hypothesis Testing
Hypothesis testing is a statistical approach whereby the researcher or data analysist tests the assumption concerning the population parameter. In the hypothesis testing process, different data analysts may use disparate approaches. The methodology applied by data analysts may depend on the dataset used. In other words, the methodology used usually depends on the data that has been collected as well as the reason for data analysis. In most cases, hypothesis testing is applied in the evaluation of the plausibility or credibility of the hypothesis by the use of sample data. There is null and alternative hypothesis (Kunisky, Wein, & Bandeira, 2019). Null hypothesis is stated in the negative statement while alternative hypothesis is stated in a positive statement. In other words, null hypothesis is a hypothesis of equality between the population parameters. For instance, a null hypothesis may state that the population mean value is zero. Since the alternative hypothesis is the opposite of the null hypothesis, it can be stated that the population mean return is equal to zero (List, Shaikh, & Xu, 2019). The two sides are mutually exclusive and at a given instance, only one can be true. In other words, one of the two hypotheses will be true at the end of the study.
A hypothesis test study that would help my work in some way is: The effect of body mass index on blood pressure. In this hypothesis test study, there will be the determination of whether there is significant effects of body mass index on the blood pressure. The two variables that will be tested are “Body Mass Index” and “Blood Pressure” In other words, the dependent variable is Blood Pressure while the independent variable is Body Mass Index. Alternatively, the variable that will be tested is Body Mass Index. From the two variables, the hypothesis can be stated as follows:
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Null Hypothesis (Ho): There is no significant effect of body mass index on the blood
Pressure
Alternative Hypothesis (H1): There is no significant effect of body mass index on the
blood pressure
The outcome of the study is expected to show that there is significant impacts of body mass index on high blood pressure. In other words, it is expected that there is significant effective of the independent variable on the dependent variable. Before undertaking the hypothesis test, there is need to collect and arrange data to ensure effective outcomes. A student t-test can be applied in the hypothesis testing to ensure effective outcomes. In the above cases, when the null hypothesis is rejected, the alternative hypothesis is used to make a conclusion and when the null hypothesis is accepted, it is used to make meaningful conclusion.
If the null hypothesis is rejected in the above case, then the expected outcome will stand. In other words, there will be a conclusion that there is a significant effect of body mass index on the blood pressure. On the other hand, accepting null hypothesis means that the expected outcome will not stand. Therefore, rejecting the null hypothesis will not change my conclusion or actions in some ways while accepting the null hypothesis may change my conclusion or action in different ways.
References
Kunisky, D., Wein, A. S., & Bandeira, A. S. (2019). Notes on computational hardness of hypothesis testing: Predictions using the low-degree likelihood ratio. arXiv preprint arXiv:1907.11636. https://arxiv.org/abs/1907.11636
List, J. A., Shaikh, A. M., & Xu, Y. (2019). Multiple hypothesis testing in experimental economics. Experimental Economics, 22(4), 773-793. https://doi/10.1007/s10683-018-09597-5
Sample Answer 2 for Solved: NR 504 Week 7 Discussion: Hypothesis Testing
Hypothesis testing and confidence intervals are widely used in healthcare research. Hypothesis testing is used to determine if a pre-developed hypothesis in a quantitative research is true or not (Thomas, 2019). The confidence interval on the other hand refers to the computed statistic that might represent the actual value of a population parameter. It represents the probability of the fact that the reported statistic contains the true value of the unknown parameter that was being tested in a research (Ithapu, 2018). Confidence interval and hypothesis testing have significant use in nursing research. They are used to determine the relevance of quantitative researches in nursing. A clinical researcher can use them to determine the effectiveness of a care approach or concept in nursing practice. For instance, a research might set to investigate whether the environment of care influences the outcomes of care. A researcher will come up with a hypothesis that will be proven after data analysis is performed. The hypothesis will rejected if the p-value is greater than the used value in the research. Similarly, confidence interval will be computed to determine whether the reported statistic represent the true population parameter of the population that was not part of the research. Therefore, a researcher will develop conclusions based on the findings of hypothesis testing and confidence interval.
There is also a correlation between confidence interval and hypothesis testing that is applicable to clinical research. For instance, a clinical research will know that the developed null hypothesis will be rejected if it falls outside the stated confidence interval. Similarly, a clinical researcher will reject the null hypothesis if it falls within the developed null hypothesis (Goodman, 2018). Consequently, it makes it evident that both hypothesis testing and confidence interval can be used by researchers in healthcare settings.
References
Goodman, M. S. (2018). Biostatistics for clinical and public health research. Milton Park, Abingdon, Oxon ; New York, NY : Routledge.
Ithapu, V. K. (2018). Exploiting structure for designing clinical trials: Testing, learning and inference algorithms. Madison, Wis: University of Wisconsin.
Thomas, A. (2019). Evidence-based surgery: A guide to understanding and interpreting the surgical literature. Cham, Switzerland: Springer.