Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis HLT 362
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Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis HLT 362
Topic 3 DQ 1
Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis. Discuss why this is important in your practice and with patient interactions.
A Sample Answer For the Assignment: Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis HLT 362
Title: Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis HLT 362
REPLY TO DISCUSSION
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What is a hypothesis?
A hypothesis is a proposed explanation for a phenomenon. For an idea to be a scientific hypothesis, the scientific method requires that one can test it. (Hypothesis, 2021)
The hypothesis is an educated summation of the outcome between independent and dependent variables and the research process that will test the validity by analyzing the data. (Ambrose, 2018) Healthcare is the evolving study on the improvement of the quality of care. Questioning how to improve the quality is the 1st step. The prediction of the outcome between the two variables of dependent and independent is the hypothesis. With the variables identified, data collection is based on the variables. The research data will reflect the correlation but cannot prove causation that indicates a direct correlation between the cause and effect.
The null hypothesis is essentially the “devil’s advocate” position. That is, it assumes that whatever you are trying to prove did not happen (Hypothesis Testing, 2018)
The increased prevalence of cannabidiol oil (CBD) for pain control leads to a hypothesis. There has not been a study to reinforce nor disprove the statement that CBD use decreases pain. The theory of CBD use will reduce pain with regular
consumption. The null hypothesis lacks the data for the relationship between the variables, or there is no effect on them. The data will reflect the patients that utilize CBD and have no pain relief. The alternative hypothesis indicates a relationship between the variables stating the decrease in pain by the subject that takes CBD. This data pattern can be interpreted to reject the null hypothesis, and if rejected, the alternative is accepted.
The use of alternative medicines has increased aromatherapy to reduce or prevent nausea in emergency room patients. There is no data to reinforce or disprove the hypothesis that the arbitrary resolves or decreases nausea in ER patients. The null hypothesis lacks subjective data to correlate the relationship between the variables and the direct effect. The data would be objective that using aromatherapy decreased or relieving nausea. An alternative hypothesis will show a connection between the variables reflecting the decrease or relief of sickness in the subject group. What is an idea?
A hypothesis is a proposed explanation for a phenomenon. For an idea to be a scientific hypothesis, the scientific method requires that one can test it. (Hypothesis, 2021)
The hypothesis is an educated summation of the outcome between independent and dependent variables and the research process that will test the validity by analyzing the data. (Ambrose, 2018) Healthcare is the evolving study on the improvement of the quality of care. Questioning how to improve the quality is the 1st step. The prediction of the outcome between the two variables of dependent and independent is the hypothesis. With the variables identified, data collection is based on the variables. The research data will reflect the correlation but cannot prove causation that indicates a direct correlation between the cause and effect.
The null hypothesis is essentially the “devil’s advocate” position. That is, it assumes that whatever you are trying to prove did not happen (Hypothesis Testing, 2018)
Click here to ORDER an A++ paper from our Verified MASTERS and DOCTORATE WRITERS: Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis HLT 362
The increased prevalence of cannabidiol oil (CBD) for pain control leads to a hypothesis. There has not been a study to reinforce nor disprove the statement that CBD use decreases pain. The theory of CBD use will reduce pain with regular consumption. The null hypothesis lacks the data for the relationship between the variables, or there is no effect on them. The data will reflect the patients that utilize CBD and have no pain relief. The alternative hypothesis indicates a relationship between the variables stating the decrease in pain by the subject that takes CBD. This data pattern can be interpreted to reject the null hypothesis, and if rejected, the alternative is accepted.
The use of alternative medicines has increased aromatherapy to reduce or prevent nausea in emergency room patients. There is no data to reinforce or disprove the hypothesis that the arbitrary resolves or decreases nausea in ER patients. The null hypothesis lacks subjective data to correlate the relationship between the variables and the direct effect. The data would be objective that using aromatherapy decreased or relieving nausea. An alternative hypothesis will show a connection between the variables reflecting the decrease or relief of sickness in the subject group.
Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis HLT 362 References
Ambrose, J. (2018). Applied Statistics for Health Care. Grand Canyon University.
https://doi.org/https://lc.gcumedia.com/hlt362v/applied-statistics-for-health-
care/v1.1/#/chapter/3
Hypothesis. (2021). Wikipedia. Retrieved April 28, 2021, from https://en.wikipedia.org/wiki/Hypothesis
Hypothesis Testing. (2018). Laerd Statistics. Retrieved April 28, 2021, from https://statistics.laerd.com/statistical-guides/hypothesis-testing-3.php
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Mayle Rodriguez
replied toIrene Igbinosa
Sep 1, 2022, 3:40 AM
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Irene,
I really liked your discussion post about hypothesis testing and its use in the health care field. Any evidence-based practices that are practiced by the health care professionals are derived from the hypothesis testing (Banerjee et al, 2009). As nurses, knowing and understanding the application of each practice and the research behind it can help in providing better care to the patients and this, in turn, can provide better outcomes and results from the treatment provided. An important aspect of understanding hypothesis testing is the null hypothesis and P-value. The null hypothesis is a formal basis for testing statistical relevance and it states that there is no association between the predictor and outcome variables in a population (Banerjee et al, 2009). So, in an experiment, the data that are analyzed to determine the P-value, the probability of acquiring the study results if by chance the null hypothesis becomes true. Hence, if the P-value of the concerned hypothesis is less than a significant value, then the null value can be rejected but if the P-value of the concerned hypothesis is above the significant value, the null value cannot be rejected.
Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis HLT 362 References:
Banerjee. A, Chitnis. U. B, Jadhav. S. L, Bhawalkar. J. S & Chaudhury. S. (2009). Hypothesis testing, type I and type II errors. Industrial psychiatry journal. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2996198/
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BM
Bhavisha Modi
replied toIrene Igbinosa
Sep 1, 2022, 9:21 AM
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Irene,
Your cannabidiol oil (CBD) for pain control and aromatherapy to reduce or prevent nausea in emergency room patients examples were remarkable.
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Irene,
Health care leadership has an ethical responsibility to ensure that the research used to make changes in patient outcomes follows a valid research process (Ambrose, 2018). The process includes the review of existing research to determine whether it is valid, which would include examining for type I or type II errors, evaluating whether a confidence interval was used and at what level, and ensuring that the variables used are correctly identified and that extraneous variables are accounted for in the data analysis (Ambrose, 2018). As registered nurses it is our job to use evidence based practice initiatives to take care of our patients and improve the care they receive. By reading Nursing journals and staying up to date with continued education we can properly adjust our practice to the newest research and EBP.
Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis HLT 362 Reference:
Ambrose, J. H. (2018). Clinical Inquiry and Hypothesis Testing. In Applied Statistics for Health Care.
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Hi Irene
The criterion for rejecting the null hypothesis is whether “there is an effect on population” or not. If the research indicates that an effect on the population does exist, the null hypothesis must be rejected. However, if the research evidence indicates there is no effect on the population, then the researchers would fail in rejecting the null hypothesis in their study. In addition, the confidence interval (CI) determines the null hypothesis rejection or failure to reject, meaning that a CI of 95% says that 95% of research projects will include the true mean and it allots around a 5% chance of being wrong (Ambrose, 2018). A null hypothesis states there is no difference between the two variables and an alternative or experimental hypothesis states there is a relationship between the two variables.
Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis HLT 362 Reference
Ambrose, J. (2018). Applied statistics for health care: Clinical inquiry and hypothesis testing. Retrieved from https://lc.gcumedia.com/hlt362v/applied-statistics-for-health-care/v1.1/#/chapter/3
LB
Loreta Binion
Aug 31, 2022, 7:56 PM(edited)
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A hypothesis is an initial idea or assumption that may be used to try and explain an observation or make an argument for some action that requires testing to check its validity. Typically, hypothesis testing utilizes two different types of hypothesis: the null hypothesis and the alternative hypothesis. The null hypothesis represents the assumption that is made about the data sample, whereas the alternative hypothesis represents a counterpoint. More often than not, the alternative hypothesis takes the exact opposite point of view from the null hypothesis. In research, the people in the study are the sample and the group represented is called the population. For example, a sample of HIV patients in a study are representative of a larger population of HIV Patients, you can use hypothesis testing to understand whether any differences or effects discovered in the study exist in the population. Hypothesis testing is used to establish whether a research hypothesis extends beyond those individuals examined in a single study.
Another example could be taking a sample of 300 diabetic patients to test a new drug that is designed to cure diabetic. As much as you are interested in helping these specific 300 HIV patients, the real goal is to establish that the drug works in the population for all diabetic patients. In order to undertake hypothesis testing, the research hypothesis should be expressed as a null and alternative hypothesis. The null hypothesis and alternative hypothesis are statements regarding the differences or effects that occur in the population. The evidence is tested against the null hypothesis. When considering whether to reject the null hypothesis and accept the alternative hypothesis, consider the direction of the alternative hypothesis statement. The alternative hypothesis tells us two things. First, what predictions did we make about the effect of the independent variable(s) on the dependent variable(s)? Second, what was the predicted direction of this effect (GCU 2018).
A two-tailed prediction means a choice is not made over the direction that the effect of the experiment takes. It simply means that the effect could be negative or positive. A one-tail prediction usually reflects the hope of a researcher rather than any certainty that it will happen. If the statistical analysis shows that the significance level is below the set cut-off value (e.g., either 0.05 or 0.01), the null hypothesis is rejected and the alternative hypothesis is accepted. If the significance level is above the cut-off value, we fail to reject the null hypothesis and cannot accept the alternative hypothesis. You cannot accept the null hypothesis, but only find evidence against it. Since the hypothesis is the question the researcher wants to answer, the clinical inquiry in healthcare, the research design, how the data is gathered and analyzed is determined by the question or hypothesis (Ambrose, 2018). In healthcare we aim to find correlations and answers within the data to provide for better patient population outcomes.
Grand Canyon University. (Ed.). (2018). Applied statistics for health care. https://www.gcumedia.com/digital-resources/grand-canyonuniversity/2018/applied-statistics-for-health-care_1e.php
Ambrose, (2018). Applied Statistics for Health Care. Clinical Inquiry and Hypothesis Testing. Retrieved from https://lc.gcumedia.com/hlt362v/applied-statistics-for-health-care/v1.1/#/chapter/3:~
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Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis HLT 362 Grading Rubric
| Performance Category | 100% or highest level of performance
100% 16 points |
Very good or high level of performance
88% 14 points |
Acceptable level of performance
81% 13 points |
Inadequate demonstration of expectations
68% 11 points |
Deficient level of performance
56% 9 points
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Failing level
of performance 55% or less 0 points |
| Total Points Possible= 50 | 16 Points | 14 Points | 13 Points | 11 Points | 9 Points | 0 Points |
| Scholarliness
Demonstrates achievement of scholarly inquiry for professional and academic topics. |
Presentation of information was exceptional and included all of the following elements:
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Presentation of information was good, but was superficial in places and included all of the following elements:
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Presentation of information was minimally demonstrated in all of the following elements:
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Presentation of information is unsatisfactory in one of the following elements:
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Presentation of information is unsatisfactory in two of the following elements:
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Presentation of information is unsatisfactory in three or more of the following elements
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| 16 Points | 14 Points | 13 Points | 11 Points | 9 Points | 0 Points | |
| Application of Course Knowledge
Demonstrate the ability to analyze and apply principles, knowledge and information learned in the outside readings and relate them to real-life professional situations |
Presentation of information was exceptional and included all of the following elements:
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Presentation of information was good, but was superficial in places and included all of the following elements:
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Presentation of information was minimally demonstrated in the all of the following elements:
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Presentation of information is unsatisfactory in one of the following elements:
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Presentation of information is unsatisfactory in two of the following elements:
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Presentation of information is unsatisfactory in three of the following elements
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| 10 Points | 9 Points | 6 Points | 0 Points | |||
| Interactive Dialogue
Initial post should be a minimum of 300 words (references do not count toward word count) The peer and instructor responses must be a minimum of 150 words each (references do not count toward word count) Responses are substantive and relate to the topic. |
Demonstrated all of the following:
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Demonstrated 3 of the following:
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Demonstrated 2 of the following:
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Demonstrated 1 or less of the following:
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| 8 Points | 7 Points | 6 Points | 5 Points | 4 Points | 0 Points | |
| Grammar, Syntax, APA
Points deducted for improper grammar, syntax and APA style of writing. The source of information is the APA Manual 6th Edition Error is defined to be a unique APA error. Same type of error is only counted as one error. |
The following was present:
AND
AND
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The following was present:
AND/OR
AND/OR
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The following was present:
AND/OR
AND/OR
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The following was present:
AND/OR
AND/OR
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The following was present:
AND/OR
AND/OR
AND/OR
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The following was present:
AND/OR
AND/OR
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| 0 Points Deducted | 5 Points Lost | |||||
| Participation
Requirements |
Demonstrated the following:
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Failed to demonstrate the following:
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| 0 Points Lost | 5 Points Lost | |||||
| Due Date Requirements | Demonstrated all of the following:
A minimum of one peer and one instructor responses are to be posted within the course no later than Sunday, 11:59 pm MT. |
Demonstrates one or less of the following.
A minimum of one peer and one instructor responses are to be posted within the course no later than Sunday, 11:59 pm MT. |