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Chapter 2
Biostatistics is the application of statistical methods to analyze data by conducting experiments to gather evidence and drawing conclusions based on ...
In biostatistics, data refers to the collected observations that are subject to analysis. Data can be parametric or nonparametric. Nonparametric data ...
Measures of central tendency are descriptive statistical tools that describe the average or center of a data set. These include mean, median, mode, and ...
Measures of variability are vital in biostatistics for describing a dataset's dispersions and highlighting deviations between individual data points. ...
A hypothesis is a proposed explanation or assumption about a population parameter that serves as the basis for testing and analysis. The null hypothesis, ...
A hypothesis test starts with the assumption that the null hypothesis is true. Two types of errors can occur in a hypothesis test. Type I error is the ...
ANOVA, or Analysis of Variance, analyzes parametric statistical data by comparing means among multiple groups to determine their statistical ...
The Student t-test examines if there is a significant difference between the means of two groups. It is suitable for data that follows a normal ...
Parametric statistical methods, like the Student t-test or goodness-of-fit test, assume that data follows a specific distribution, enabling robust ...
Biopharmaceutical studies aim to study drug delivery and improved therapies using interdisciplinary knowledge. Non-controlled studies, often used for ...
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