HLT 362 Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis

Grand Canyon University HLT 362 Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis-Step-By-Step Guide

This guide will demonstrate how to complete the Grand Canyon University HLT 362 Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis 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 HLT 362 Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis                            

Whether one passes or fails an academic assignment such as the Grand Canyon University HLT 362 Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis  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 HLT 362 Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis                          

The introduction for the Grand Canyon University HLT 362 Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis  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 HLT 362 Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis                          

After the introduction, move into the main part of the HLT 362 Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis  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 HLT 362 Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis                          

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 HLT 362 Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis                            

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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Sample Answer for HLT 362 Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis

Re: Topic 3 DQ 1

In research, hypothesis testing plays a crucial role. “The hypothesis is a prediction of what will happen between the two variables” (June Helbig & Jayme Ambrose, 2022). It helps in determining the validity of a hypothesis by conducting experiments and analyzing the results. For example, in clinical studies, a null hypothesis might state that a new drug has no difference in effect compared to a placebo. The hypothesis can only be rejected after obtaining statistically significant results, which would indicate the efficacy of the drug. In psychological research, one can test the null hypothesis that a new therapeutic technique has no impact on reducing anxiety levels when compared with traditional methods. “We reject the null hypothesis when the data provides strong enough evidence to conclude that it is likely incorrect” (Simkus, 2023). This often occurs when the p-value (probability of observing the data given the null hypothesis is true) is below a predetermined significance level” (Simkus, 2023). Understanding these principles is vital in practice because it ensures interventions are evidence-based, allowing for informed discussions with patients about treatment efficacy.

References:

Simkus, J. (2023). What is The Null Hypothesis & When Do You Reject The Null Hypothesis. Simply Psychology. https://www.simplypsychology.org/null-hypothesis-examples-how-to-state-when-to-reject.html

June Helbig & Jayme Ambrose. (2022). Applied Statistics for Health Care. Grand Canyon University (Ed.). (2022). Applied statistics for health care (2nd ed.).

Sample Answer 2 for HLT 362 Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis

Hypotheses are statements about populations and is a prediction of what will occur between the two variables. Hypothesis testing is the basis for all research that is scientific, within healthcare, the use of hypothesis testing determines improvements in patient outcomes. Leaders in nursing are responsible for ensuring that the research is continuously applied to improve the quality of care. The null hypothesis shows the lack of relationship between the variables or that there is no effect on the variables. If the research design is good, the data should show patterns allowing the researcher to reject or fail to reject the null hypothesis. If the null hypothesis is rejected the alternative hypothesis is accepted. The decision becomes based on the statistical analysis of the data gathered during the study.

Statistics are used to reveal the truth about the data, It is used to decide whether one of only two possibilities are shown in the data. There is an effect on the population or there isn’t an effect. If there is an effect, the null is rejected. If the null isn’t rejected it indicates no effect to be shown by the evidence.

One example of how research uses hypothesis testing is a case study of quitting smoking with nicotine patches. A second example could be determining weight loss for diet verses exercise,

Reference:

Hypothesis Testing – Examples and Case Studies.

June Helbig & Jayme Ambrose. (2022). Applied Statistics for Health Care. Grand Canyon University (Ed.). (2022). Applied statistics for health care (2nd ed.).

Sample Answer 3 for HLT 362 Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis

Hypothesis testing is a systematic statistical approach to identify if substantial evidence supports a specific claim about the research topic. Hypothesis testing in research is anchored on five steps: stating the null and alternative hypotheses. The other steps include data collection, identifying a statistical test to conduct, calculating the p-value, and deciding based on the value and the critical value (Keysers et al., 2020). There are specific examples of how research uses hypothesis testing to determine the efficacy of an intervention to improve health outcomes. For instance, in a study of the effectiveness of a new medication to relieve pain, researchers can use hypothesis testing to evaluate whether the medication is significantly better than a placebo. The null hypothesis for this research will state that there is no difference in pain reduction between the medication and the placebo.

On the other hand, the alternative hypothesis will be the medication is indeed more effective. Testing the hypothesis, the researchers would collect data on a sample of randomly selected to receive the drug. They will then utilize statistical analysis tests such as t-tests to evaluate if the groups significantly differ in pain reduction. The p-value will be calculated, and if it is below the predetermined threshold, such as 0.05, it could indicate that the observed result is unlikely to have occurred by chance alone. Therefore, the null hypothesis can be rejected.

In assessing the impact of a population-tailored health education program on diabetes and self-management, hypothesis testing can be effective in determining change in behavior between individuals enrolled in the program compared to the central group. The null hypothesis would state that there is no difference in self-care behaviors between the two groups. On the other hand, the alternative hypothesis would state that the education program leads to improved self-care behaviors. Data collection will be conducted through surveys and questionnaires before and after the program’s implementation (Tang et al., 2022). Statistical tests such as paired t-tests or chi-square tests are conducted to assess the difference. Additionally, the value will be calculated. If it is below the predetermined threshold, it indicates the observed change was unlikely to occur due to chance alone, hence rejecting the null hypothesis.

In nursing practice, hypothesis testing is fundamental in assessing the effectiveness of interventions, treatments, and educational programs. It provides evidence of the intervention’s importance and guides healthcare professionals to care for patients effectively (Dang et al., 2021). The nurses can utilize the information to implement various evidence-based approaches to empower patients to manage their health. Additionally, via hypothesis testing, nurses can be guaranteed that the interventions they advocate for patients are proven to be effective and data-driven. Overall, it improves patient health outcomes and advances a better evidence-based and patient-centered practice in nursing care.

References

Dang, D., Dearholt, S. L., Bissett, K., Ascenzi, J., & Whalen, M. (2021). Johns Hopkins evidence-based practice for nurses and healthcare professionals: Model and guidelines. Sigma Theta Tau.

Keysers, C., Gazzola, V., & Wagenmakers, E.-J. (2020). Using Bayes factor hypothesis testing in neuroscience to establish evidence of absence. Nature Neuroscience, 23(7), 788–799. https://doi.org/10.1038/s41593-020-0660-4

Tang, Y. M., Chau, K. Y., Kwok, A. P. K., Zhu, T., & Ma, X. (2022). A systematic review of immersive technology applications for medical practice and education – Trends, application areas, recipients, teaching contents, evaluation methods, and performance. Educational Research Review, 35, 100429. https://doi.org/10.1016/j.edurev.2021.100429

HLT 362 Topic 3 DQ 2 Sample Answer

Hypothesis testing and confidence intervals are an important part of statistical analysis. Hypothesis testing is mainly applied when a researcher wants to compare two or more groups. In the process of evaluating a hypothesis, there is always the need to consider the sample size and the variability in the sample. Hypothesis testing often involves both the alternative and null hypotheses. On the other hand, confidence interval refers to the range of estimates for the unknown parameter, such as the mean (Ambrose, 2018). Intervals often have associated confidence levels. For example, the 95% confidence interval is commonly used in the process of data analysis.  

           Both confidence interval and hypothesis testing can be used together to facilitate the applicability and validity of the data analysis outcomes. While conducting data analysis, researchers often apply confidence intervals to make a conclusion on the hypothesis being tested. For example, the outcomes of hypothesis tests should always fall within a given range of confidence intervals, say 99% or 95% (Bonett & Wright, 2019). The procedure for rejecting or accepting the null hypothesis may also depend on the confidence level. For example, when the values obtained do fall between a given range or confidence interval, the null hypothesis is not rejected; this means that when values are outside the range or confidence interval, the null hypothesis is rejected.  

           One of the examples where both hypothesis testing and confidence intervals are used together in the workplace is in the research process, where accuracy, validity, and applicability of the research outcomes are valued (Savage, 2020). In most of the medical research processes, both the hypothesis and confidence. Each of the two alternatives, hypothesis testing and confidence interval, can be used together or independently to enhance the accuracy of the research outcomes.   

References 

Ambrose, J. (2018). What are statistics and why are they important to health science. In Applied statistics for health care (1 ed.). Grand Canyon University: Grand Canyon University. 

Bonett, D. G., & Wright, T. A. (2019). Cronbach’s alpha reliability: Interval estimation, hypothesis testing, and sample size planning. Journal of organizational behavior, 36(1), 3-15. https://onlinelibrary.wiley.com/doi/abs/10.1002/job.1960 

 Savage, S. (2020). Advantages of confidence intervals in clinical research.  https://www.redorbit.com/news/science/18686/advantages_of_confidence_intervals_in_cl inical_research/