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BASIC BIOSTATISTICS

Objectives. Overview of Biostatistical Terms and ConceptsApplication of Statistical Tests. Why Use Statistics?. Descriptive Statisticsidentify patterns leads to hypothesis generatingInferential Statisticsdistinguish true differences from random variationallows hypothesis testing. Why Use Statistics?.

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BASIC BIOSTATISTICS

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    1. BASIC BIOSTATISTICS Diane Flynn, LTC, MC Colin Greene, LTC, MC

    2. Objectives Overview of Biostatistical Terms and Concepts Application of Statistical Tests

    3. Why Use Statistics? Descriptive Statistics identify patterns leads to hypothesis generating Inferential Statistics distinguish true differences from random variation allows hypothesis testing

    4. Why Use Statistics?

    5. Types of Data Numerical Continuous Discrete Categorical Ordinal Nominal

    6. Descriptive Statistics Identifies patterns in the data Identifies outliers Guides choice of statistical test

    7. Percentage of Specimens Testing Positive for RSV

    8. Descriptive Statistics

    9. Describing the Data with Numbers Measures of Central Tendency MEAN -- average MEDIAN -- middle value MODE -- most frequently observed value(s)

    10. Distribution of Course Grades

    11. Describing the Data with Numbers Measures of Dispersion RANGE STANDARD DEVIATION SKEWNESS

    12. Measures of Dispersion RANGE highest to lowest values STANDARD DEVIATION how closely do values cluster around the mean value SKEWNESS refers to symmetry of curve

    13. Measures of Dispersion RANGE highest to lowest values STANDARD DEVIATION how closely do values cluster around the mean value SKEWNESS refers to symmetry of curve

    14. Standard Deviation

    15. Measures of Dispersion RANGE highest to lowest values STANDARD DEVIATION how closely do values cluster around the mean value SKEWNESS refers to symmetry of curve

    16. Skewness

    17. The Normal Distribution Mean = median = mode Skew is zero 68% of values fall between 1 SD 95% of values fall between 2 SDs

    18. Inferential Statistics Used to determine the likelihood that a conclusion based on data from a sample is true

    19. Terms p value: the probability that an observed difference could have occurred by chance

    20. Hypertension Trial

    21. Terms confidence interval: The range of values we can be reasonably certain includes the true value.

    22. 30 Day % Mortality

    23. 95% Confidence Intervals

    24. Types of Errors

    25. What Test Do I Use? 1. What type of data? 2. How many samples? 3. Are the data normally distributed? 4. What is the sample size?

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