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CHAPTER 2   DESCRIPTIVE STATISTICS ,[object Object]
[object Object],[object Object],Learning Objectives:
Pictorial   &  Tabular   Methods 1.  Stem-and-Leaf Displays :  How to construct a Stem-and-Leaf Display: ,[object Object],[object Object],[object Object],2. List the stem values in a vertical column. 3. Record the leaf for each observation beside its stem. 4. Write the units for stems and leaves on the display.
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],1  6 7  2  6 6 8 9 3  0 4 5 7 7 9 4  0 1 1 2 3 5 5 5 9 5  1 2 2 6 6 6 6 7 7 9 6  0 3 4 4 4 5 6 8 7  2 3 3 6 6 8  3 4 6 9  0 1 2 ,[object Object],Stem & Leaf Display Stem: tens digit Leaf: ones digit
2. Histogram :   A bar graph representing a frequency distribution of a quantitative variable.A histogram is made up of the following components. Histograms are used to  summarize large data sets . Histogram: ages of 100 students Age  Freq.  Rel. Freq. 18  20  0.20 19  24  0.24 20  26  0.26 21  18  0.18 22  5  0.05 23  3  0.03 24  2  0.02 25  2  0.02  Sum  100  1.00   0.20 0.30 Rel. Freq.
3.  Box plot :  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],a box plot displays the median, the first quartile and the third quartiles on a rectangular box, aligned either horizontally or vertically. sometimes called box whiskers plot.
HOW TO CONSTRUCT A BOX PLOT
[object Object],Use the following rule :  Numerical Summary : Sample Median
[object Object],LOWER QUARTILE, UPPER QUARTILE, INTERQUARTILE RANGE Step 1.   Arrange the values in increasing order Step 2.  Q 1  is the value in position 0.25(n+1) Q 3  is the value in position 0.75(n+1) Step 3.  If the positions are not integers, Q 1  and   Q 3     are found by  interpolation , using adjacent    values  ,[object Object]

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Chapter 1 descriptive_stats_2_rev_2009

  • 1.
  • 2.
  • 3.
  • 4.
  • 5. 2. Histogram : A bar graph representing a frequency distribution of a quantitative variable.A histogram is made up of the following components. Histograms are used to summarize large data sets . Histogram: ages of 100 students Age Freq. Rel. Freq. 18 20 0.20 19 24 0.24 20 26 0.26 21 18 0.18 22 5 0.05 23 3 0.03 24 2 0.02 25 2 0.02 Sum 100 1.00 0.20 0.30 Rel. Freq.
  • 6.
  • 7. HOW TO CONSTRUCT A BOX PLOT
  • 8.
  • 9.