Statistical significance

The Vitruvian Man Experiment Sasha Trimmingham Partner: Carlos Cruz Class: Anatomy and Physiology Teacher: Ms.Grayek Problem: Measuring from the chin to the hairline of multiple subjects will not have the same results Hypothesis: If the bottom of the chin to the top of the head is measured it will be greater than one eighth of a person’s height. Materials • 10 face • 10 body • Meter stick • Ruler • Pen/marker • Paper • Tablet Procedure: 1. Gather all materials 2…

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…

The process of crossing over occurs during which of the following? 
A. diakinesis 
B. diplotene 
C. pachytene 
D. zygotene 
E. leptotene 
Bloom's Level: 1. Remember
Learning Outcome: 02.04.01 List and describe the phases of meiosis.
Section: 02.04
Topic: Meiosis
  30. The bivalent structure forms during which of the following? 
A. leptotene 
B. zygotene 
C. pachytene 
D. diplotene 
E. diakinesis 
Bloom's Level: 1. Remember
Learning Outcome: 02.04.01 List and describe the phases…

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…

is control by other parties. The almost the same results are for the states which do not have death penalty (64,79% and 35.21%, respectively) With a Person Chi2 of 0.2091, a p value of 0.647 and a degree of freedom equivalent to 2, there is not statistical significant relationship between these two…

Question 1 Null hypothesis The null hypothesis, which is symbolically expressed as H0, is a statement that indicates no difference between a parameter and a specific value or between two parameters. Alternative Hypothesis The alternative hypothesis, which is symbolically expressed as HA or H1, is a statement that indicates the presence of a difference between a parameter and a specific value or between two parameters. Decision Rules On testing the null hypothesis, two main decision rules are…

in metaphorical language use of the experimental group and the control group at the beginning of the metaphor awareness treatment, an independent samples t-test was conducted for the data gathered from the participants’ recent writing test. The statistical analysis indicated that there was not a significant difference in the metaphorical language use of experiment group (M = 1.59; SD = .70) and control (M = 1.44; SD = 1.00); t (43) = .58, p = .56. Levene’s test for equality of variances was…

social scientific research. Researchers rarely state the null hypothesis in their academic journals because they “assume that readers know the sole purpose of a significance test is to test a null hypothesis.” (Barker 57) Instead of reporting the null hypothesis, researches “report which differences were tested for significance, which significance test they used, and which differences were found to be statistically significant.” (Barker 57) Additionally, researchers are…

However since we have the four variables and that we’re measuring first year average scores. The formula should look like this: First year average score (%) = β0 + β1non-academic member + β2satis first-year + β3math-center + u Since first year average score is a percentage variable, it is often used in the level form as a result. So models with level-level or level-log will work best with this average score for estimating. However since we are measuring with more than two variables,…