STAT 303, 503-504, Spring 1996
Prof. H. Joseph Newton

Outline of Lecture 2

1. Some Famous Data Sets

2. Some Basic Concepts

   1. Population and Sample

   2. Parameters and Statistics

   3. Types of Statistics

   4. Inferential Statistics

   5. Categorical and Numerical Variables

   6. Continuous and Discrete Data

   7. Univariate, Bivariate, and Multivariate Data

3. Describing One Sample or Population

   1. Graphically

      1. Stem and Leaf Plot

         
          Exam scores for 25 students:
         
          86 52 69 74 64 83 71 78 77 79
          56 88 64 73 71 98 75 78 90 83
          72 91 81 85 64
         
         
          5|2 6
          6|9 4 4 4
          7|4 1 8 7 9 3 1 5 8 2
          8|6 3 8 3 1 5
          9|8 0 1
         
         
         

      2. Histogram

         
         Random Sample of 500 IQ's:
         
         83.590 79.962 111.42 88.410 100.85 92.090 80.272 93.816 104.57 113.55
         105.50 113.53 105.50 93.429 87.915 82.692 90.707 89.227 103.14 81.461
         102.18 90.604 95.548 103.61 102.01 96.470 82.297 94.093 74.480 104.89
         
         .....
         .....
         
         95.399 95.160 132.32 111.29 103.65 75.917 108.22 120.05 104.45 102.97
         127.75 91.221 125.34 110.98 80.110 125.32 109.82 96.088 102.50 71.024
         103.11 114.40 120.69 101.60 116.16 94.316 125.67 126.37 105.63 105.25
         112.37 128.46 126.99 117.03 93.865 90.290 84.891 90.559 111.49 104.87
         
         

      3. Histograms and the Idea of Distribution

   2. Numerically

      1. Measures of Center

         1. Sample Mean (average), Median (middle value when arranged from smallest to largest), and Mode (value occurring most often)

      2. Measures of Spread

         1. Range (max-min), Variance, Standard Deviation

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