Chi-square test

included 100 patients of chronic kidney disease, who were included, irrespective of their age, sex, aetiology and their clinical profiles. A thorough clinical examination and evaluation were conducted, which included serum iron studies. By using Chi- square analysis, the parameters which were used for a statistical correlation were the levels of anaemia with respect to the stages of the kidney disease, the type and the severity of anaemia, thrombocytopaenia with the bleeding time, leucocytosis and

BADM 320: Save The World Project (James Scholar) Yang Lyu NETID: yanglu10 UIN: 670037146 Organization Psi Chi & UPA at the University of Illinois at Urbana-Champaign Background Information (Psi Chi) Psi Chi is the International Honor Society in Psychology, founded in 1929 for the purposes of encouraging, stimulating, and maintaining excellence in scholarship, and advancing the science of psychology . It is a current on campus registered student organization (RSO) in the University of Illinois

,extra-curricular activities ,deviance and disabilities are all-important influences on SRP and have been shown to affect test scores .School environmental factors ,such as school size ,neighborhood, and relationship between teachers and students also influence test scores (Johnson & Elder ,2004). One’s own family background has also been found to influence a students test scores .research has found out that socio economic status, parental involvement and family size are particular important family

pollen the bees carried, Poisson regression models were used. The data was overdispersed so quasi Poisson errors were used. To find what type of pollen and if it was mixed or pure the bees were carrying Pearson Chi-Square tests were done. The researchers used Morisita-Horn Test and Jaccard Test were used to find the type of plants the pollen the bees were carrying came

Previous work by Harder has shown the average flower length of Aster plants to be 2 inches (1985). Chi Square Data Goldenrod Aster Honey Bee .0086 .0086 Butterfly .2571 .225 Bumble Bee .25 .2469 Fly .3556 .2909 Wasp .089 .0743 2 = 1.806 df= 4 C= 9.5 2 C – Fail to reject null hypothesis Discussion The Chi Square analysis above shows that

Introduction: Access to healthcare has been considered a major reason behind many adverse health outcomes and it is attributed to be the primary reason or and intermediate factor which increases infant morbidity and mortality. [1] However, it is equally important to understand the pattern of utilization of healthcare services, when they are made available and accessible. Awareness about the available healthcare facilities and the importance of prevention over intervention is of utmost importance

1. For evaluation of data quality: Do DSMB (data safety and monitoring board). 2. Also for data quality: Import data into a statistical package of choice. 3. For data quality: Create a codebook. This will have an organized table of the 10 variables collected, what these measure and what type of variable is each of the 10 (continuous, dichotomous, etc.). 4. Perform descriptive analysis checks for data inconsistencies and missing data. For the categorical variable of “Sex”, the answers “F” “Woman”

388 Business Intelligence Journal August Impact Assessment Of Corporate Culture On Employee Job Performance Olu Ojo Abstract This research study assesses empirically the impact of corporate culture on employee job performance as well as organisational productivity using Nigerian banking industry as the case study. We try to ascertain if organizational culture affects employee job performance, and to formulate recommendations regarding corporate culture and employee job performance

the null hypothesis and tentatively accept our previous hypothesis that the autosomal vestigial wing trait will be inherited in a 3:1 ratio and the sex linked white eye trait will be inherited in a 1:1 ratio. In order to test the null hypothesis, we must calculate the chi square (χ²) values and the degrees of freedom that are based on the numbers of each fly phenotype (including gender) we observed and what we expected. By using the ratio to calculate the number of each phenotype we

https://docs.google.com/document/d/1uomSwzQe3eYEYgROtP2_rsJ0d1un3LPH9T2WEHmRXfo/edit?ts=58210f92 Materials and Methods The stool specimens and blood samples were collected from both 48 diabetic patients (between June 2009 and October 2009) and 24 healthy people (between July 2009 and October 2009). Patient group consisted of 22 to 82 years old 18 males and 30 females with 10 T1DM and 38 T2DM, whereas the control group had 25 to 76 years old 4 males and 20 females without diabetes or any acute/chronic