Statistical Analysis Essay

Statistical Analyses The following physiological measures were assessed for statistical significance: RMSSD, HF power, SBP, DBP and HR. A natural log transformation was applied to HRV measures prior to the analysis. Each measure was analyzed using a one-way repeated measures ANOVA across each experimental condition: baseline, stressor, recovery. The application of repeated measures ANOVA calls for the assumption that the dependent variables follow a normal distribution. In the context of this study

pain score and sedation score (Ramsay Sedation Score) were compared. Table (2): Numeric pain score (Bourdelet al., 2014). Rating Pain Level 0 No Pain 1 – 3 Mild Pain 4 – 6 Moderate Pain 7 – 10 Severe Pain Statistical analysis: Microsoft access were used for Statistical analysis,

Based on the above discussion and the statistical analysis conducted in Chapter Four, the outcome determined that enough evidence supports the rejection of the null hypothesis of no difference. The findings indicate that there was a statistically significant difference presented in the seasonal performance of junior male and female student-athletes with respect to their GPA scores. The dialogue of the literature with respect to those findings revealed that there were a number of possible justifications

CPP 520 Statistical Analysis From The Contingency Table. High Rating-Local Hazard Vulnerability * Community Hazard Vulnerabilty Level Crosstabulation: The Frequency increases with Vulnerability Levels. For example, in 3 Counts, the Communities with Higher Hazard Levels have more Higher Ratings: Where as the Communities with Low Hazard Vulnerability have "Not High Rating". The Chi-Sq Distribution was used. From observation of Chi-Square Tests, there is slight Association between the

Mental Health Research Project Sociology 315: Statistical Analysis for the Social Sciences Professor Dana Williams By: Hayden Beaudreau 12/11/15 Question: This research project will try to grasp a better understanding of an individual’s mental health based off a few different variables including respondent’s income, alcohol consumption, and marital status. The main focus for this research will be to try and grasp a further understanding of the effects each of

Final Project: Statistics II Descriptive analysis of statistical data INTRODUCTION There have always been crimes, from a treachery to an assassination. Happens in every country you can think of, and every government has to deal with it. It is really stressful to try to understand the nature of the crimes: why are they done and where could they happen next. Out of this preoccupation is that we found studies gathering data from communities; we focused on one specific crime: murders. In several

For the purpose of explanation, these voltage regulators main purpose is to protect refrigerators from power surges and electrical catastrophes. Throughout the course of this paper elements will be strategically place to develop a concise statistical analysis report to cover the following: Any quantifiable factors that may be affecting the performance of operational processes. An explanation of how these quantifiable factors may be affecting the operational processes. What is the history and problem

Introduction The HSE demanded a statistical report and analysis of the laboratory data, which could be used as evidence of particular sectors of chemical industry causing potential health hazards for their employees. For the purpose of this analysis a sample of people coming from four different sectors of chemical industry had their blood tested for LDH-1 and LDH-5 levels (Intercellular enzyme that determines cell damage in various organs). The degree of organ damage, in this case liver damage,

Statistical analysis Statistical analysis was carried out using the software program Anova one-way unstacked. Quantitative data were presented as mean and standard deviation. Pearson correlation for measuring covariance of two variables divided by the product of their standard deviations measures the strength of a linear association between two variables and is denoted by r. The Receiver Operator Characteristic (ROC) curve was used for prediction of pre-eclampsia using sensitivity, specificity, accuracy

Statistical Analysis of Campus Crime Reported by Xing Huang Abstract The report sets out two hypothesizes to examine whether the factors—acceptance rate, campus size, private and number of admin staff—have a influence on the number of both 2010 and 2011 burglaries. The purpose of this report is to provide evidence for city managers to deal with the campus crime. The analysis indicates that city managers should carry out a more effective program for private schools to protect students from campus