Statistical hypothesis testing

Statistical Analysis: Means and standard deviations were calculated for body composition (body fat), power (vertical jump, Broad jump, average power), speed (20M sprint), Lower limb strength (1RM Squat) and endurance (12min run) for each training group. A factorial repeated-measures ANOVA was used to examine significance between the independent variables of testing (pre- and post-) and groups (control and chest and hip deep) on the dependent variables. Statistical significancewas set a priori…

Smoking severity. The questions about number of cigarettes a day and time to first cigarette (included in Studies 1 and 2) were supplemented with the remaining items of the Fagerström Test for Nicotine Dependence (Heatherton et al., 1991). Unreported measures. The main study included the 6-item gain discounting measure used in the Pilot Study. The original test (Du et al., 2002) includes 6 items for 7 different delays and 2 different reward magnitudes, whereas the present version only asked 6…

According to the results, the mean amplitude of normal reflex is greater than the Jendrassik maneuver. There should be greater amplitude with the Jendrassik maneuver because Jendrassik maneuver reduces the person’s ability to voluntarily affect the response to the tap made to the tendon even if they are fully aware of why the distraction is being incorporated into the test (Zabelis et al. 1998).The Jendrassik maneuver had low mean amplitude of the angle of deflection which can be due to some…

Significant figures are the numbers that are important when performing calculations in chemistry and other fields of science. These numbers are important to scientists because they determine the accuracy and precision to which their measurements and calculations were made. Significant figures are important to the scientific method because the results of experiments that are performed to test hypotheses can be altered due to mistakes of significant figures. Measurements are only as accurate as…

paired-samples t-test is used when you look at the differences of one group across two time periods or observation periods. ANOVA tests are used when we are examining more than two groups or more than two observation periods. Slide 3: Our null hypothesis states that no difference occurs. If we overlapped the distribution curves of the two groups or the two observation periods, we would find that they were similar in shape. Slide 4: If the differences in the mean scores between the groups or…

In this experiment, the two sets of data obtained from the same subjects were analyzed. First, the JNDs from the four subjects was pooled together and a repeated measures ANOVA analysis was performed. Then, Weber’s fractoin (JND/line length) was applied to the original data to compute the weber fraction and the same analysis test were performed. For this study, we were specifically interested on the data yielded from the Test of Within-Subjects Contrast and Effects and an ANOVA performed from…

(3) Equation (3) gives limit moment about 11% higher than equation (2) regardless of h. One notable point is that the above solutions depend only on bend factor(h), not on r/t and R/r. Equations (1-3) are applicable only for the pure in-plane bending moment and the effect of internal pressure is not taken in to account. Also these analytical solutions consider constant wall thickness along the contour of the pipe bend cross section. However, the most of the pipe bends are made using a forming…

2-8- Statistical analysis Results are presented as mean±standard deviation (SD) of two replicated determinations. Data were subjected to one-way analysis of variance (ANOVA) and multiple comparisons were performed by Duncan's test. Statistical significance was set at P>0.05. All analyses were performed using SAS version 9.1 (PROC GLIMMIX; SAS Institute Inc., Cary, NC). 3. Results and discussion 3-1- physicochemical changes of grape juice contain encapsulated probiotics 3-1-1- pH According to…

questions assignment. The question is the following: Are individuals with dual diagnoses, such as developmental disability and mental disorder less likely to receive appropriate mental health assistance than individuals with a mental disorder only? The statistical analysis that would be used for this research question is factorial ANOVA. According to Sukal (2013), “factorial ANOVA is one that includes multiple independent variables and one dependent variable” (Sukal, 2013, para. 1). For this…

The hypothesis based on the findings of Latane and Darley (1968) that as the number of participants increased, help would become less likely was somewhat supported. The results in the graph Percentage of people who helped/did not help highlighted that the bystander effect occurred as the smallest group size had the highest help rate of 100%, and the percentage of participants who helped in the group of 19 was higher than that of the group of 35, 10.5% and 2.90% respectively. However, the groups…