Maricopa Community Colleges  GBS221   20066-20075 
Official Course Description: MCCCD Approval: 04/25/06
GBS221 20066-20075 LEC 3 Credit(s) 3 Period(s)
Business Statistics
Business applications of descriptive and inferential statistics, measurement of relationships, and statistical process management. Includes the use of spreadsheet software for business statistical analysis.
Prerequisites: Grade of C or better in GBS220.
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MCCCD Official Course Competencies:
 
GBS221   20066-20075 Business Statistics
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 discrete and continuous probability distributions in probability applications. (II)
5. Explain probability sampling and sampling distributions, and describe their uses. (III)
6. Use statistical inference techniques and confidence levels for decision making when testing hypotheses. (IV)
7. Use regression and correlation analysis, and interpret the results of the analysis. (V)
8. Use statistical process management and control charting to solve statistical quality control problems. (VI)
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MCCCD Official Course Outline:
 
GBS221   20066-20075 Business Statistics
    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. Probability, Counting Methods, and Probability Distributions
          A. Rules of Multiplication and Addition
          B. Bayes Theorem
          C. Combinations and Permutations
          D. Random Variables
          E. Discrete Random Variables
          F. The Binomial Distribution
          G. Poisson Distribution
          H. The 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
                  a. Testing One Population Mean
                  b. Testing the Difference Between Two Population Means
                2. Proportions
                  a. Testing One Population Proportion
                  b. Testing the Difference Between Two Population Proportion
              B. Small Samples
                1. Testing One Population Mean
                2. Comparing Two Population Means
            V. Regression and Correlation
                A. Coefficients of Correlation and 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
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