Abstract: Background: Statistics which help us in arriving at the criterion for such decisions in any research. Hypothesis means assumptions. It is an important activity of pharmacy or medical fields and its related research. Materials and Methods: Statistical inferences play an important role in biological statistical tests and arriving at some conclusion. Some suitable examples were also workout in this section. Results: Confidence intervals provide a method of stating the precision or closeness of the sample statistics. It contains lower and upper limits. Conclusion: We concluded that the hypothesis is very much useful and essential tool in medical, nursing, pharmacy and other science and biomedical sciences as well as in its...
Various propositions have been made to improve the statistical quality of medical journals: using st...
This article is envisioned to form a base uponwhich a full-blown exhaustive discussion ofhypothesis-...
Majority of the population of today poorly understand the implication of statistics in the field of ...
This article examines the role of the confidence interval (CI) in statistical inference and its adva...
Confidence and tolerance intervals — a tool for biomedical data analysis aimed at clear evidence MIR...
Estimated parameters with confidence intervals and testing statistical assumptions used in statistic...
Statistics with Confidence is a widely acclaimed classic introduction to confidence intervals. The s...
Introduction: Reporting confidence intervals in scientific articles is important and relevant for ev...
In the clinical study researchers want to answer the most important question whether a new therapy i...
There has recently been vigorous debate about the most appropriate way to report statistical results...
Difference between "Clinical Significance and Statistical Significance" should be kept in mind while...
Confidence intervals are an essential research topic in statistics. Based on confidence intervals we...
Background: One of the emerging themes in epidemiology is the use of interval estimates. Currently, ...
An important problem exists in the interpretation of mod-ern medical research data: Biological under...
Los valores P, generalmente, 0,05 ó 0,01, que en la prueba de hipótesis estadística se usan para dif...
Various propositions have been made to improve the statistical quality of medical journals: using st...
This article is envisioned to form a base uponwhich a full-blown exhaustive discussion ofhypothesis-...
Majority of the population of today poorly understand the implication of statistics in the field of ...
This article examines the role of the confidence interval (CI) in statistical inference and its adva...
Confidence and tolerance intervals — a tool for biomedical data analysis aimed at clear evidence MIR...
Estimated parameters with confidence intervals and testing statistical assumptions used in statistic...
Statistics with Confidence is a widely acclaimed classic introduction to confidence intervals. The s...
Introduction: Reporting confidence intervals in scientific articles is important and relevant for ev...
In the clinical study researchers want to answer the most important question whether a new therapy i...
There has recently been vigorous debate about the most appropriate way to report statistical results...
Difference between "Clinical Significance and Statistical Significance" should be kept in mind while...
Confidence intervals are an essential research topic in statistics. Based on confidence intervals we...
Background: One of the emerging themes in epidemiology is the use of interval estimates. Currently, ...
An important problem exists in the interpretation of mod-ern medical research data: Biological under...
Los valores P, generalmente, 0,05 ó 0,01, que en la prueba de hipótesis estadística se usan para dif...
Various propositions have been made to improve the statistical quality of medical journals: using st...
This article is envisioned to form a base uponwhich a full-blown exhaustive discussion ofhypothesis-...
Majority of the population of today poorly understand the implication of statistics in the field of ...