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BUS 220: ELEMENTARY STATISTICS Chapter 2: Describing Data.

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Presentation on theme: "BUS 220: ELEMENTARY STATISTICS Chapter 2: Describing Data."— Presentation transcript:

1 BUS 220: ELEMENTARY STATISTICS Chapter 2: Describing Data

2 2/15/20142 Summary of Types of Variables

3 2/15/20143 Summary of the Characteristics for Levels of Measurement

4 2/15/20144 GOALS Given a qualitative data set, create by hand a frequency table, bar chart, and pie chart. Given a quantitative data set, be able to prepare by hand frequency distribution, relative frequency distribution, cumulative percentage distribution, histogram, frequency polygon, or a cumulative frequency polygon. Use EXCEL to do the above.

5 2/15/20145 Frequency Table

6 2/15/20146 Relative Class Frequencies Class frequencies can be converted to relative class frequencies to show the fraction of the total number of observations in each class. A relative frequency captures the relationship between a class total and the total number of observations.

7 2/15/20147 Bar ChartsColumn Chart In Excel

8 2/15/20148 Pie Charts

9 2/15/20149 Pie Chart Using Excel

10 2/15/ Examples of the use of chart HMSA Rate Incrase Population of primary voters in New Hampshire

11 2/15/ Examples of the use of chart… Months of remaining inventory of real estate on Oahu

12 2/15/201412

13 2/15/ Frequency Distribution A Frequency distribution is a grouping of data into mutually exclusive categories showing the number of observations in each class.

14 2/15/ EXAMPLE – Constructing Frequency Distributions: Quantitative Data Ms. Kathryn Ball of AutoUSA wants to develop tables, charts, and graphs to show the typical selling price on various dealer lots. The table on the right reports only the price of the 80 vehicles sold last month at Whitner Autoplex.

15 2/15/ Constructing a Frequency Table - Example Step 1: Decide on the number of classes. A useful recipe to determine the number of classes (k) is the 2 to the k rule. such that 2 k > n. There were 80 vehicles sold. So n = 80. If we try k = 6, which means we would use 6 classes, then 2 6 = 64, somewhat less than 80. Hence, 6 is not enough classes. If we let k = 7, then , which is greater than 80. So the recommended number of classes is 7. Step 2: Determine the class interval or width. The formula is: i (H-L)/k where i is the class interval, H is the highest observed value, L is the lowest observed value, and k is the number of classes. ($35,925 - $15,546)/7 = $2,911 Round up to some convenient number, such as a multiple of 10 or 100. Use a class width of $3,000

16 2/15/ Step 3: Set the individual class limits Constructing a Frequency Table - Example

17 2/15/ Step 4: Tally the vehicle selling prices into the classes. Step 5: Count the number of items in each class. Constructing a Frequency Table

18 2/15/ Excel formula to help us count =COUNTIFS ($A$2:$A$81,">="&G15, $A$2:$A$81,"<"&H15) Data Range Lower Limit Condition Upper Limit Condition

19 2/15/ Class Intervals and Midpoints Class midpoint: A point that divides a class into two equal parts. This is the average of the upper and lower class limits. Class frequency: The number of observations in each class. Class interval: The class interval is obtained by subtracting the lower limit of a class from the lower limit of the next class.

20 2/15/ Class Intervals and Midpoints Example Referring to the AutoUSA example Class midpoint: For the first class the lower class limit is $15,000 and the next limit is $18,000. The class midpoint is $16,500, found by: ($15,000 + $18,000)/2 Class interval: The class interval of the vehicle selling price data is $3,000. It is found by subtracting the lower limit of the first class, $15,000, from the lower limit of the next class: ($18,000 - $15,000)

21 2/15/ Relative Frequency Distribution To convert a frequency distribution to a relative frequency distribution, each of the class frequencies is divided by the total number of observations.

22 2/15/ Graphic Presentation of a Frequency Distribution The three commonly used graphic forms are: Histograms Frequency polygons Cumulative frequency distributions

23 2/15/ Histogram A graph in which the classes are marked on the horizontal axis and the class frequencies on the vertical axis. The class frequencies are represented by the heights of the bars and the bars are drawn adjacent to each other.

24 2/15/ Histogram Using Excel

25 2/15/ Frequency Polygon A frequency polygon and relative frequency polygon also show the shape of a distribution and is similar to a histogram. It consists of line segments connecting the points formed by the intersections of the class midpoints and the class frequencies.

26 2/15/ Example

27 2/15/ Frequency Polygon Vs. Relative Frequency Polygon Both provide quick picture of the main characteristics of the data Relative frequency polygon is good for comparison between two data set that have quite large difference of total frequency.

28 2/15/ Cumulative Frequency Distribution

29 2/15/ Cumulative Frequency Polygon

30 2/15/ A word about interpreting chart Lowest, Highest number, the largest concentration Look for trend or cluster of data Based on your experience or past data draw conclusion or suggestion from the chart.

31 2/15/ Which chart is right? You want to present the shortage of registered nurses for the state of Hawaii. Will you use the table?...

32 2/15/ Which chart is right? Or time-series chart?...

33 2/15/ Which chart is right? Or a bar chart…


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