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Biostatistics plays a crucial role in transforming raw health data into accurate insights, guiding research design, interpretation, and decision-making. From understanding key statistical tools to avoiding common analytical mistakes, Pubrica’s expert biostatistics support helps researchers improve study accuracy and reliability. Learn how proper statistical methods enhance validation, prediction, and outcome evaluation in medical and biological research. Explore more at Pubrica’s Biostatistics in Practice resource to strengthen your research with data-driven clarity and precision.
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Presentation - Biostatistics in Practice
Biostatistic
s in Practic
e
From Data Collection to Analysis
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What are
Biostatistics?
Importance of Statistical Methods in Health
Biostatistics is the application of statistical
methods to biological and health studies, playing a
crucial role in experiment design, data collection, and
analysis, guiding decisions in medical and public health
fields.
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Measures of Central Tendency
These summarize data center: mean, median,
mode.
Descriptive Measures of DispersionThese indicate data spread: range, variance,
Statistics standard deviation.
Range of Data
Understanding Data Summary and It represents the difference between
Dispersion maximum and minimum values.
Interquartile Range
This measures the middle 50% of data
distribution.
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Inferential
Statistics
Making Predictions from Sample Data
Inferential statistics allow researchers to predict
outcomes for entire populations based on sample data.
This method is vital for making informed decisions in
healthcare, policy-making, and scientific research.
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Null Hypothesis
Assumes no effect or difference exists in data
Testing Alternative HypothesisIndicates that an effect or difference does
Hypotheses exist
P-value
Understanding core principles of Probability that observed data occurred by
statistical testing chance alone
Confidence Interval
Range within which the true effect likely lies
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