looking for help with a scholarly response to each statement with a reference for EACH#1 QUEE

Question  looking for help with a scholarly response to each statement with a reference for EACH#1 QUEEThe quantitative data produced in a research study or DPI projects are analyzed by statistical tests, which are mathematical tools  (Parab & Bhalerao, 2010). Statistical knowledge is essential for reaching and understanding public health research (Hayal et al., 2017). Statistical analysis uses statistical calculations to determine whether to reject the null hypothesis or validate the hypothesis. Two categories of statistical procedures are parameter and non-parameter. Parameter test uses mean to measure central tendency, presumes that the population from which the sample is obtained is normal distribution; whereas, non-parameter favors median for the measure of central tendency and does not depend on presumptions (Mishra et al., 2018). Parametric tests are more suited to normally distributed data, while non-parametric are more suited to non-normally distributed data (Mishra et al., 2018). The parameters are the paired sample t-test and the independent sample t-tests, while the Chi-square, the MCNEMAR (Paired), MANN WHITNEY U, and the WILCOXON Z are non-parameters. This primary investigator chose the Paired Sample T-Test as the statistical test appropriate for the investigator’s project. Paired Sample T-Test will be used to test the hypothesis that there is a significant difference in the pre-intervention weight and post-intervention weight. Using a non-parameter statistical test such as the MCNEMAR (Paired) may be possible to show a relationship between motivational interviewing and weight loss.References:Hayat, M. J., Powell, A., Johnson, T., & Cadwell, B. L. (2017). Statistical methods used in the public health literature and implications for training of public health professionals. PLOS ONE, 12(6), e0179032. https://doi.org/10.1371/journal.pone.0179032 Mishra, P., Pandey, C. M., Singh, U., & Gupta, A. (2018). Scales of measurement and presentation of statistical data. Annals of cardiac anaesthesia, 21(4), 419-422. https://doi.org/10.4103/aca.ACA_131_18 Parab, S., & Bhalerao, S. (2010). Choosing statistical test. International Journal of Ayurveda research, 1(3), 187-191. https://doi.org/10.4103/0974-7788.72494#2 DEEExamine the SPSS database. Review “Choosing Statistical Test” and “Setting Up the SPSS Database to Run Analyses,” located in the topic Resources. You may need to download the SPSS program from the DC network. In your data collection and data analysis sections you may collect both parametric data and non-parametric data. Provide examples of your non-parametric data and parametric data and the potential analyses you will perform with them.The parametric data in this quality improvement project will be urinary catheter line days. In this quality improvement project, this PI will use an independent t-test which is a parametric test of urinary catheter line days of 30 patients. I will use their gender as part of the t-test. The parametric test is knowledge of the variable which in this case is urinary catheter line days (Emory Oxford College, 2021). The non-parametric tests are a way for the statistical methods to be analyzed and not require assumptions to meet distribution (CFI, 2021). For this quality improvement project, the non-parametric test will be a Mann-Whitney U test. In the Mann Whitney U test,  two independent outcomes will be tested such as gender, and urinary catheter line days and age, and urinary catheter line days to find the hypothesis (LaMorte, W 2017).  References:CFI (2021, November 11). Nonparametric Tests.         https://corporatefinanceinstitute.com/resources/knowledge/other/nonparametric-tests/ Emory Oxford College (2021, November 11).        http://mathcenter.oxford.emory.edu/site/math117/parametricVsNonparametric/  Health Science Science Nursing NURSING DNP 960 Share QuestionEmailCopy link Comments (0)