Performing a one-sample t-test in SPSS Now, let’s perform the one-sample t-test in SPSS: Firstly, go toAnalyze > Compare Means > One-Sample T-Test... 2. A new window will open. The variables which are to be included in the test need to be moved into theTest Variable(s)window...
InterpretationAs a rule of thumb, we reject the null hypothesis if p < 0.05. We just found that p = 0.73 so we don't reject our null hypothesis: given our sample data, the population mean being 100 is a credible statement. So precisely what does p = 0.73 mean? Well, it means ...
Future large-scale studies would need to plan for the enrollment necessary to achieve a larger final sample size. However, it should be mentioned that the effect sizes for the craving measures were very small, suggesting that differences in craving between the two cue conditions may not have ...
In order to test these two hypotheses against each other, we constructed a model in which ratings of dangerousness and productivity were entered as mediators of the effect of strength on generosity received, using Preacher and Hayes' (2008) INDIRECT macro for SPSS with 2000 random samplings. ...
Both are computed by dividing the differences in means by the measure of variability among the groups.> We identify the probability of the test statistic from the SPSS statistical output.SW318Social WorkStatisticsSlide 9Step 5. Decision and Interpretation> If the probability of the test statistic ...
Pathology Diagnosis and Molecular Classification to Targeted TherapyAdvances in Experimental RadiotherapyAdvances in Gynecological Oncology: From Pathogenesis to TherapyAdvances in NK/T-cell Lymphoma, Epidemiology, Biology and TherapyAdvances in Our Understanding of ALK-Related Cancers: A Selection of Papers ...
T0: test before intervention. T1: test after intervention. T2: test 30 min after intervention. T3: test 60 min after intervention. SMR: self-myofascial release. * Significant differences with p < 0.05. A primary stratification of the entire sample was made by dividing by sex. The male ...
gain access to a plethora of accurately calculated performance variables. This should help to enrich the DJ testing process by facilitating a consistent approach which should lead to higher quality and more accurate interpretation of DJ force–time data, from which better training decisions can be ...
The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. References Jarret, R.L.; Barboza, G.E.; Costa Batista, F.; Berke, T.; Chou, Y.; Hulse-Kemp,...
A central composition design was used to assess the impact of the two factors: the extraction time (T: 36–72 h) and the solvent–sample ratio (SSR: 2/1 to 4/1), represented as the milliliters of solvent per gram of dried material. The solvent was evaporated from the extract using ...