Maricopa Community Colleges  OSH221   20016-20086 
Official Course Description: MCCCD Approval: 07/22/08
OSH221 20016-20086 LEC 3 Credit(s) 3 Period(s)
Statistics for Safety Professionals
Collection and interpretation of statistical data. Analysis of frequency distributions, graphical presentations, and normal distribution. Probability distributions and sampling and their applications. Use of statistical inference techniques, simple regression and correlation analysis. Statistical process management including quality assurance and quality control.
Prerequisites: Grade of C or better in MAT122.
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MCCCD Official Course Competencies:
 
OSH221   20016-20086 Statistics for Safety Professionals
1. Collect, organize, present, analyze, and interpret numerical data using frequency distributions and graphical presentations. (I)
2. Calculate and interpret the measures of central tendency for either raw or grouped data. (I)
3. Calculate and interpret the measures of dispersion and skewness for a data set. (I)
4. Use the normal probability distribution in probability applications. (II)
5. Explain probability sampling and sampling distributions, and their uses. (III)
6. Use statistical inference techniques and confidence levels for decision making when testing hypotheses. (IV)
7. Use simple regression and correlation analysis and interpret the results. (V)
8. Use statistical process management and control charting to solve statistical quality control problems. (VI)
9. Define, organize, and design an experiment for quality control testing. (VII)
10. Apply statistical techniques to the analysis of experiments for quality assurance. (VIII)
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MCCCD Official Course Outline:
 
OSH221   20016-20086 Statistics for Safety Professionals
    I. Collection, Organization, Presentation, Analysis, and Interpretation of Numerical Data
        A. Frequency distribution
        B. Graphical representation
          1. histogram
          2. frequency polygon
        C. Measures of central tendency (ungrouped and grouped)
          1. mean
          2. median
          3. mode
        D. Measures of dispersion (ungrouped and grouped)
          1. range
          2. variance
          3. average deviation
          4. standard deviation
          5. empirical rule
          6. skewness
          7. relative dispersion
      II. The Normal Probability Distribution
          A. Characteristics
          B. Areas under the normal curve
          C. Standard normal probability distribution
        III. Sampling Methods and Sampling Distribution
            A. Probability sampling
            B. Sampling error
            C. Sampling distribution of the means
            D. Central limit theorem
            E. Confidence intervals
            F. Selecting a sample size
              1. mean
              2. proportion
          IV. Hypothesis Testing
              A. Large samples
                1. means
                2. proportions
              B. Small samples
                1. testing one population mean
                2. comparing two population means
            V. Simple Correlation and Regression
                A. Coefficients of correlation, determination, and non- determination
                B. Testing the significance of the coefficient of correlation
                C. Regression equation
                D. Standard error of the estimate
                E. Confidence-interval estimates
              VI. Statistical Quality Control
                  A. The control chart
                  B. Acceptance sampling
                VII. Foundations of Design of Experiments
                    A. What is experimental design
                    B. Why use experimental design
                    C. Variation and its impact on quality
                    D. Organizing the experiment
                    E. Selecting the quality characteristics
                    F. Conducting the experiment
                  VIII. Statistical Techniques
                      A. Analysis of variance
                      B. Simple linear regression
                      C. Polynomial regression
                      D. Multiple regression
                      E. Determining sample size
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