إحصاء حيوي

إحصاء حيوي

• Upon completion of this course the learner will be able to:
• b. Design and interpret graphical and tabular displays of public health data.
• b. Perform simple probability calculations based on the rules of probability. b. Explain the logic of statistical hypothesis testing and confidence intervals.
• a. Perform power and sample size calculations for onesample hypothesis tests.
• a. Understand the relationship between confidence intervals and hypothesis tests.
• b. Develop ability to choose appropriate statistical tools for the study.

• UNIT 1: Introduction to Statistics Statistics How Statistics Work Introduction to Descriptive Statistics Variables Samples and Populations Sampling Error and Statistical Significance/Confidence Levels Types of Data Statistical Calculations UNIT 2: Sampling Technique Sampling and Sampling Distributions Sampling Methods Simple Random Sampling Systematic Sampling Random Sampling Sampling Distribution of the Mean Sampling from a Population Sampling Problem Interpretation of the Results UNIT 3: Data Collection and Analysis Statistical Method Data Collection Ways to Summarize Data Gathering and Coding Data Data Analysis The Process of Research in Science Research Method Data Quality Data Summarization UNIT 4: DATA PRESENTATION Histograms and Other Distribution Graphs Different Types of Visualizing Information Using Graphs Graphical Presentation of Data UNIT 5: Frequency Distribution Frequency Distribution Frequency Tables Constructing Frequency Distribution Table Constructing Cumulative Frequency Distribution Tables Class Intervals Constructing Frequency Distribution Tables for Large Numbers of Observations Relative Frequency and Percentage Frequency Constructing Relative Frequency and Percentage Frequency Tables UNIT 6: Measures of Central Tendency Review of Subscripts and Summation Notation Measure of Central Tendency The Arithmetic Mean a. Mean Weighted Mean The Median The Mode Relationship Between the Mean, Median, and Mode Arithmetic Mean Weighted Arithmetic Mean UNIT 7: Measures of Variability Measures of Variability Methodological Approach of Measures of Variability The Range The Variance and Standard Deviation The Sample Variance The Standard Error of a Mean Analysis of Variance (ANOVA) UNIT 8: Measures of Correlation Statistical Inferences Involving linear regression and linear correlation Interpreting correlation Results Correlation Coefficient Results of linear Correlation Correlation and Regression Analysis Correlation Coefficient Mean UNIT 9: Testing of Hypothesis Introduction to Hypothesis Testing Hypothesis Conducting a Hypothesis Testing Alternative Hypothesis Null Hypothesis Test Statistic Critical Value Significance Level Decision Conclusion Formulating Hypotheses Type of Tests Test Statistics OneTailed and TwoTailed Test Estimated standard Error of the Sample Mean ZDistribution and TDistribution Types of Errors for a Hypothesis Test Statistical Summary and Conclusion Formulating Hypotheses and Stating Conclusions Rejection and Acceptance Regions Rejection and Acceptance Curve Outline for Testing a Hypothesis Tests of Population Means using Large Samples ChiSquare The Logic of ChiSquare ChiSquare Distribution Contingency Table Expected Frequency Independence Test Observed Frequency ChiSquare Distribution Properties of the ChiSquare Single Population Variance Conditions for Testing Confidence Intervals ChiSquare Distribution curve Computation of the ChiSquared Statistic ChiSquared Distribution Table

• a. ID b. References c. Attends and passes examinations d. Problem Exercises