Statistical Analysis Essay

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

Data management, statistical analysis & quality assurance Data collection The data and the values of the sensitivity scores would be collected at the general dental practice by the trained dentists who will report to the second investigator responsible for the overall collection of the data. Direct patient examination would be carried out at base line, immediately, 3, 6 and 9 months post application using visual analogue scale for tactile stimuli response and Schiff cold air sensitivity scale for

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

in the spreadsheet. This is a multiple regression analysis. I have attached a PDF file that explains the case and the spreadsheet version with all the data recorded from the PDF file. Pleas emae sure you include all the graphs, plots and please use megastat software. Topic: We want to determine the primary factors that affect property crime rates in the United States. The statistical analysis of the data involves multiple-regression analysis. Questions to answer are: 1. What are the

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

Statistical data analysis was performed using programs MATLAB R2012b or R2014a and was conducted at 95% confidence level. Amino acids in the hair protein were determined using the relative peak areas and the concentrations were determined from a calibration curve from liquid injections of standard amino acid solutions of GC/MS analysis [8]. Also, ANOVA (one-way analysis of variance) was used to compare the mean concentrations of each amino acid between the case-control study groups. The F-test that

States the statistical analysis used to answer research questions The researchers state the method used for analysis to answer the research questions. The researchers used meta-analysis to answer the research questions because they drew their data from different published research articles (Haan, & Duckworth, 2008). Meta-analysis allows the researcher to combine results from different studies in order to focus on their contrast. The analysis technique enables a scholar to understand the sources of

Statistical Methods Data management and statistical analysis by SPSS software version 13 was used. Baseline laboratory markers were expressed as mean ± standard deviation (SD) or standard of error (SE) when appropriate. Progression free survival and overall survival were analysed by the Kaplan-Meier method. Paired t test was used to compare AFP, size and number of focal lesions after therapy. ANOVA test was used when appropriate, P< 0.05 indicating statistically significance result. Results The

Data Analysis and Interpretation In selecting the appropriate statistical test for your data analysis, you need to identify the question or hypothesis for the study. Are you trying to compare groups, interested in finding out if there is a relationship between two or more variables, or are you trying to predict. Some factors to consider as well are the following: (1) Research design, (2) Level of measurement: nominal, ordinal, interval, ratio, (3) Number of groups, and if they are correlated (dependent)

The big data analytics deals with a large amount of data to work with and also the processing techniques to handle and manage large number of records with many attributes. The combination of big data and computing power with statistical analysis allows the designers to explore new behavioral data throughout the day at various websites. It represents a database that can’t be processed and managed by current data mining techniques due to large size and complexity of data. Big data analytic includes

Introduction: I will discuss in this paper one of statistical method used for analyzing data using time to conversion as a dependent variable, it's called survival analysis, also it has many names such as event duration analysis, transition event analysis, time to event analysis, failure analysis and other, Definition of survival analysis: There are many definitions for survival analysis I will mention some of them that can clarifying the meaning, in general it’s a set of statics methods dealing

modifications for many recent graduates is the decrease in the amount of partying, and the realization that it ends when college does. I conducted a statistical analysis on the consumption of alcohol for those still enrolled in undergraduate programs compared to the consumption of recent graduates. My research objectives include the following: * Document with statistical evidence that UMass Amherst students currently enrolled in

Multivariate Statistical Analysis Statistical methodology designed to obtain information from data sets that include simultaneous measurements on many variables is called multivariate statistical analysis (1). Multivariate statistics helps to study how the variables are related to one another, and also how they work in combination to differentiate between the cases on which the observations are made. Several research disciplines such as biology, medicine, environmental Science, Psychology, Sociology

Statistical Analysis for Quick Stab Collection Agency Executive Summary The purpose of the paper is to provide a statistical analysis of overdue bills for Quick Stab Collection Agency (QSCA). The data will be taken from accounts closed over a six month period. The goal is to determine if a correlation between the type of account, the amount of the bill and the days to collection exists. To determine the existence of a correlation, regression analysis of several variables was completed. This

Multivariate Statistical Analysis Statistical methodology designed to obtain information from data sets that include simultaneous measurements on many variables is called multivariate statistical analysis (1). Multivariate statistics help to study how the variables are related to one another, and also how they work in combination to differentiate between the cases on which the observations are made. Several research disciplines such as biology, medicine, environmental Science, Psychology, Sociology