NURS-8201: Week 5 Discussion:T-Tests and Anova in Clinical Practice-Response #

NURS-8201: Week 5 Discussion:T-Tests and Anova in Clinical Practice-Response #

 Hello Blessing, The statistical techniques used in the testing of the hypothesis for the comparison of means between the groups include the Student's t-test (t test), analysis of variance (ANOVA), and analysis of covariance (ANCOVA). The testing variable (dependent variable) for these approaches needs to be continuous scale and roughly regularly distributed. The term "parametric approach" refers to a statistical technique used to compare the means of two normally distributed continuous variables. In this case, non-parametric approaches are used to compare the groups since the median is a representative measure for non-normal continuous variables. The majority of parametric tests have a nonparametric counterpart. ANOVA, ANCOVA, and Student's t-test are just a few of the numerous statistical tests available. Each test has its own set of presumptions. While some of the ways are manageable using other access methods, not all of them are popular. ANOVA is used to compare the means among three or more groups, whereas the t test is used to compare the means between two groups and does not require repeated comparisons because a single P value is seen. The first receives a shared P value in an ANOVA. An ANOVA test with a significant P value identifies at least one pair in which the mean difference was statistically significant. The post-hoc test (multiple comparisons) is utilized to determine whether pair(s) are significant. When at least one covariate (continuous variable) in an ANOVA test is altered to eliminate confounding variables from the outcome, the procedure is known as an ANCOVA. Because inferences about means are made by studying variance, the ANOVA test (F test) is called "Analysis of Variance" rather than "Analysis of Means." The one sample t test is a statistical method used to ascertain whether the sample's mean value is

2 statistically the same as or different from the mean value of the parent population from which the sample was taken (Mishra et al., 2019). References Mishra, P., Singh, U., Pandey, C., Mishra, P., & Pandey, G. (2019). Application of student's t-test, analysis of variance, and covariance.Annals of Cardiac Anaesthesia,22(4), 407. https://doi.org/10.4103/aca.aca_94_19