China 
Africa 
Explore chapters and articles related to this topic
Inferential statistics
Published in Louis Cohen, Lawrence Manion, Keith Morrison, Research Methods in Education, 2017
Louis Cohen, Lawrence Manion, Keith Morrison
One can report the results of the chi-square test thus: When the chi-square statistic was calculated for the distribution of males and females on their liking for mathematics, a statistically significant difference was found between the males and the females (χ2 = 28.87, df = 2, ρ = 0.000). We use Yates’s correction (a continuity correction) to compensate for the over-estimate of the chi-square in a 2 × 2 table, and this can be activated by simple keystrokes in SPSS or other software.
Correlation of the Grade Group of Prostate Cancer according to the International Society of Urological Pathology (Isup) 2014 Classification between Prostate Biopsy and Radical Prostatectomy Specimens
Published in Cancer Investigation, 2021
Serkan Akan, Caner Ediz, M. Cihan Temel, Ferhat Ates, Omer Yilmaz
Statistical analyses were performed by using IBM SPSS Statistics 22 (SPSS for windows Inc. V22, Chicago, Illinois) computer programme. Normal distrubition of the parameters was controlled with Shapiro Wilks test. Descriptive statistical methods (mean, standart deviation, frequency) were provided and normally distributed data of the groups were analysed with Oneway Anova test. Kruskal Wallis test was used for comparing non normal distributed data among groups and Mann Whitney U test was used for finding the different group. Between two groups, normally distributed data were analysed with Student t test and non normally distributed data were analyesd with Mann Whitney U test. Chi-square test and Yates correction for continuity were used for analysing the qualitative data. The most appropriate cut-off value was determined by ROC curve analysis. A p-value < 0.05 was accepted as statistically significant.
Sensitivity and specificity of Briganti nomogram in Turkish patients undergoing radical prostatectomy and pelvic lymph node dissection
Published in The Aging Male, 2020
Aytac Sahin, Ahmet Urkmez, Caglar Yildirim, Musab Ali Kutluhan, Ramazan Topaktaş, Ayhan Verit
Data obtained were evaluated using the IBM SPSS Statistics 22 program for statistical analyses. In the evaluation of study data, Shapiro–Wilks test was used to check whether parameters were normally distributed. In addition to descriptive statistical methods (mean, standard deviation, frequency) in the analysis of quantitative data, Student’s t-test was used to compare normally distributed parameters between the two groups and Mann–Whitney U test was used to compare parameters without normal distribution between the two groups. Fisher-Freeman-Halton’s test and Yates’s correction for continuity were used to compare qualitative data. Diagnostic screening tests were used for sensitivity and specificity calculations. The level of significance was set at a p value of <.05.
MR-proANP level predicts new onset atrial fibrillation in patients with acute myocardial infarction
Published in Biomarkers, 2020
Idzikowska Karolina, Kacprzak Michał, Zielińska Marzenna
Categorical variables were summarized as frequencies with percentage values. Continuous variables were expressed as medians with interquartile range. The Shapiro-Wilk test was used to confirm whether the variables were normally distributed: those without a normal distribution were analysed using non-parametric statistics. Correlations were assessed using Spearman’s rank correlation coefficient. Continuous variables were compared using the Mann-Whitney U-test, and categorical variables using chi-squared tests with Yates’s correction for continuity. ROC curves were used to assess the suitability of MR-proANP levels in predicting new onset AF.