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DQ 1: Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis.

DQ 1 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.

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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)

The increased prevalence of cannabidiol oil (CBD) for pain control leads to a hypothesis. There has not been a study to reinforce nor

DQ 1 Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis.

DQ 1 Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis.

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.

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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Quantitative research is a process in which data is gathered systematically, analyzed and reported in numerical and statistical values in an attempt to explain what has been observed or hypothesized. The researcher is clearly aware of the specific information being sought prior to the initiation of the study and a data collection adheres to a specific, rigid framework. This system of research uses large groups for data collection and utilizes questionnaires, experimentation or other tools for this purpose depending on the subject being studied. This type of research is more accurate in the absence of variables with statistical outliers frequently discarded. When performing quantitative research, someone is endeavoring to respond to a research question or hypothesis that has been set. One strategy for assessing this research question is through a procedure called hypothesis testing, which is some of the time additionally alluded to as important testing. The initial phase in hypothesis testing is to set a research hypothesis.

In statistics terms, the individuals in the examination/study are the example and the bigger group they speak to is known as the population. For instance, an example of statistics understudies in an examination are illustrative of a bigger population of statistics understudies, you can utilize hypothesis testing to comprehend whether any distinctions or impacts found in the investigation exist in the population. Hypothesis testing is utilized to build up whether a research hypothesis reaches out past those people inspected in a solitary report. Another model could be taking an example of 200 breast cancer patients to test another medication/drug that is intended to annihilate this kind of cancer. As much as you are keen on helping these particular 200 cancer patients, the genuine objective is to set up that the medication works in the population for all cancer patients.

So as to attempt hypothesis testing, the research hypothesis ought to be communicated as an invalid/null and alternate hypothesis. The null hypothesis and alternative hypothesis are articulations with respect to the distinctions or impacts that happen in the population. The evidence is tried against the null hypothesis. While thinking about whether to dismiss the null hypothesis and acknowledge the alternative hypothesis, think about the course of the alternative hypothesis explanation. The alternative hypothesis discloses to us two things. To start with, what expectations did we make about the impact of the independent variable(s) on the dependent variable(s)? Second, what was the anticipated direction of this impact (Laerd Statistics, nd)?

A dual-tailed expectation implies a decision isn’t made over the direction that the impact of the analysis takes. It just infers that the impact could be negative or positive. A one-tail expectation as a rule mirrors the desire for a researcher as opposed to any assurance that it will occur. In the event that the factual investigation shows that the essentialness level is beneath the set cut-off worth (e.g., either 0.05 or 0.01), the null hypothesis is dismissed and the alternative hypothesis is acknowledged. On the off chance that the importance level is over the cut-off worth, we neglect to dismiss the null hypothesis and can’t acknowledge the alternative hypothesis. You can’t acknowledge the null hypothesis, however one can discover evidence against it. Since the hypothesis is the issue the researcher needs to reply, the clinical request in healthcare, the research plan, how the information is accumulated and investigated is controlled by the question or hypothesis (Ambrose, 2018). In healthcare we mean to discover connections and replies inside the information to accommodate better patient population results and this eventually brings about the desirable result that the research was set up for at the end of the day.

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.

Laerd Statistics (n.d.). Hypothesis testing. Retrieved from: https://statistics.laerd.com/statistical-guides/hypothesis-testing.php

 

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