Maricopa Community Colleges  GBS221   19956-19965 
Official Course Description: MCCCD Approval: 05/23/95
GBS221 19956-19965 LEC 3 Credit(s) 3 Period(s)
Business Statistics
Descriptive statistics, sampling and statistics inference, index numbers, time series, and measurement of relationships. Prerequisites: MAT210.
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MCCCD Official Course Competencies:
 
GBS221   19956-19965 Business Statistics
1. Organize raw data into a frequency distribution. (I, II)
2. Display data in graphic form. (I, II)
3. Describe and calculate the data's central tendency (either grouped or ungrouped). (II)
4. Describe and calculate the data's measures of dispersion. (II)
5. Identify the classical types of index numbers. (III)
6. Construct an index. (III)
7. Identify problem data as being either discrete or continuous. (IV)
8. Use the binomial theorem and the Poisson tables in the solution of discrete probability problems. (IV)
9. Use the normal probability distribution in probability applications. (IV)
10. Describe the differences among various types of sampling techniques, their uses, and misuses. (V)
11. Use statistical inference techniques and confidence levels for decision making when testing hypotheses. (VI)
12. Use regression and time series analyses for estimation and forecasting. (VII)
13. Explain classical decision theory components. (VIII)
14. Construct a decision tree. (VIII)
15. Describe Bayes' theorem. (IX)
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MCCCD Official Course Outline:
 
GBS221   19956-19965 Business Statistics
    I. Collection and presentation of data
      II. Describing data
          A. Frequency distribution
          B. Graphical representation
            1. Histograph
            2. Frequency polygon
            3. Ogives
          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. Standard deviation
        III. Index numbers
          IV. Probability concepts
              A. Rules of addition and multiplication
              B. Permutations - combinations
              C. Discrete distributions
              D. Normal distributions
            V. Sampling
              VI. Test of hypotheses
                  A. Large samples
                  B. Proportion
                  C. Small samples
                  D. Nonparametric tests
                  E. Analysis of variance
                VII. Regression and correlation
                    A. Simple
                    B. Multiple
                  VIII. Decision making
                    IX. Bayes' theorem
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