Null hypothesis

Scientists today know mostly everything there is to know about life on prebiotic Earth approximately four billion years ago, yet, they still do not possess the answer as to how life came to be from inorganic matter. Many question how life could have risen from non-living materials and become as complex as it is. Nobody knows for certain how the transition from inorganic matter to life occurred, however, there are several theories made to explain this transition (i.e. Clay theory, Primordial Soup…

Question 1. What is the goal of utility analysis? Why do recent models of utility fail to accomplish this goal? Answer Utility Analysis (UA), not only is the process where the description and prediction determines the desirability of decisions; it provides formulas for computing the dollar value of human resource programs (Boudreau, 1987). UA also examines how the information obtained are going to affect manager’s decisions. Utility refers to the expected gains to be derived from using a…

Logistic Regression model will be used to analyze the research data pertaining to identify the strength of religiosity and how it affects vaccination behaviors among US children age 6 years or less. The Logistic Regression Model would be used in our research because the dependent variable is a categorical variable which is define at two levels (vaccination behaviors). The Logistic Regression model is defined as a statistical analysis that used to measure the risk or odds of an event between the…

there were two raters, and we found between the two raters scoring “The Sun” was in agreement 97% of the time and “Sea Otters” was in agreement 94% of the time. Our first hypothesis was that recall for the study/study condition will be higher than for the study/test condition for the five minute delay. Our second hypothesis was that recall for the study/test condition should be higher than for the study/study condition for the two day delay. The mean amount of items recalled for the…

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…

Many data interpretation issues have been identified in the above mentioned studies conducted on yellow fever to determine the prevalence, distribution, determinants. Some of them include: • Measuring the burden of the disease which was caused by the yellow fever is challenging because of the wide range of the clinical severity and non-specific symptoms reported in majority of the infection. This has made diagnosis for yellow fever very difficult for investigators. It was found that the…

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…

No one will argue that determining the number of significant figures and keeping with the rules of those “sigfigs” throughout an already strenuous calculation can be a pain. Countless points and half-points have been deducted from tests throughout chemistry’s ages from students claiming that significant figures are, ironically, insignificant. But, let’s consider the following scenario. Joey is in his inorganic chemistry lab. The second step to the lab tells him to measure out the mass of Iron he…

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…