After performing

Chi-square tests and binary logistic regression, the factors with independent effect on morbidity and mortality were listed.

Chi-square tests (Preacher, 2001) were utilized for testing for pairwise differences of the medians of the different developmental stages in the four different oxygen levels on a specific day.

It emphasizes common research and analysis methods and techniques and covers reading and understanding existing research and analytics; collecting data, including descriptive and historical and philosophical research method and design, qualitative or naturalistic inquiry, Delphi study, experimental design, case studies, feasibility and profitability studies, and grants and contracts; and using analytics to interpret information, including Microsoft Excel software, descriptive statistics, correlation, regression, t-tests, analysis of variance (ANOVA), and

chi-square tests, in addition to protecting participants and research data.

of female employees) Top Middle Lower Private Sector 3 Nil 01 14 15 Public Sector 55 01 152 57 210 Private Sector NA Nil 04 10 14 Public Sector 22 Nil 36 60 86 Private Sector 3 Nil 01 10 11 Public Sector 10 15 07 50 72 Private Sector NA Nil 03 06 09 Public Sector NA 01 19 113 133 Total Sample Size 550 Table 2 9th Statement Crosstab Count Gender (1-male,2- female) 1 2 Total 9 (yes-1, No-2) 1 153 362 515 2 9 31 40 Total 162 393 555 Table 3 9th Statement

Chi-Square Tests Value Df Asymp.

In the case of a 2 x 2 table, along with the Likelihood Ratio and Pearson

Chi-square tests, there is also the Fisher's Exact Test, which is based upon the hypergeometric probability and is applicable to either one-tailed or two-tailed hypotheses, relative risk, and odd ratios.

Among the topics are collecting data, confidence intervals, inference for means and proportions,

chi-square tests for categorical variables, multiple regression, and probability basics.

Some methods of strengthening the common

Chi-square tests.

Thus, for all cases, arrival data was successfully modelled as the Poisson distribution and the hypothesis was ascertained by evaluating

chi-square tests.

Analyses of variance (ANOVA) and

chi-square tests were used to test hypotheses.

Pearson's

chi-square tests and t-tests were used to compare the two samples.

Among the topics are principles, lean sigma projects, value stream mapping, introductory statistics and data, making sense of data in six sigma and lean, probability, single-population estimation,

chi-square tests, linear and multiple regression, the design of experiments, and survey methods and sampling techniques.

Data was analyzed using descriptive statistics and

Chi-square tests.