应用统计学英文课件 Business Statistics Ch02 Presenting Data in Tables and Charts.ppt

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1、Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-1,Chapter 2Presenting Data in Tables and Charts,Business Statistics:A First CourseFifth Edition,Choice Is Yours,Part 1,Choice Is Yours,Part 1,Comparing the Performance of Mutual Funds,Business Statistics:A First Course,5e 2009 Pren

2、tice-Hall,Inc.,Chap 2-5,Learning Objectives,In this chapter you learn:To develop tables and charts for categorical dataTo develop tables and charts for numerical dataThe principles of properly presenting graphs,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-6,Categorical Data A

3、re Summarized By Tables&Graphs,Categorical Data,Graphing Data,Pie Charts,Pareto Chart,Bar Charts,Tabulating Data,Summary Table,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-7,Organizing Categorical Data:Summary Table,A summary table indicates the frequency,amount,or percentage

4、 of items in a set of categories so that you can see differences between categories.A summary table based on a survey for banking preference,Example,The 868 mutual funds are classified according to their risk level,categorized as low,average,and high.Table 2.2,Business Statistics:A First Course,5e 2

5、009 Prentice-Hall,Inc.,Chap 2-9,Bar and Pie Charts,Bar charts and Pie charts are often used for categorical dataLength of bar or size of pie slice shows the frequency or percentage for each category,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-10,Organizing Categorical Data:B

6、ar Chart,In a bar chart,a bar shows each category,the length of which represents the amount,frequency or percentage of values falling into a category.,Example,Bar Chart for the levels of risk of mutual funds(based on the information in table 2.2),Business Statistics:A First Course,5e 2009 Prentice-H

7、all,Inc.,Chap 2-12,Organizing Categorical Data:Pie Chart,The pie chart is a circle broken up into slices that represent categories.The size of each slice of the pie varies according to the percentage in each category.,Example,A pie chart for the levels of risk of mutual funds.See table 2.2,Business

8、Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-14,Organizing Categorical Data:Pareto Chart,Used to portray categorical data(nominal scale)A vertical bar chart,where categories are shown in descending order of frequencyA cumulative polygon is shown in the same graphUsed to separate the“v

9、ital few”from the“trivial many”,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-15,Organizing Categorical Data:Pareto Chart,A large injection-molding company manufacturing plastic components used in computer keyboards.Data in Table 2.3 consist of all computer keyboards with defe

10、cts produced during a three-month period.,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-16,Organizing Categorical Data:Pareto Chart,A summary table for computer keyboard data in which the categories are ordered based on the frequency of defects present.,Business Statistics:A F

11、irst Course,5e 2009 Prentice-Hall,Inc.,Chap 2-17,Organizing Categorical Data:Pareto Chart,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-18,Organizing Categorical Data:Pareto Chart,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-19,Tables and Charts for Num

12、erical Data,Numerical Data,Ordered Array,Stem-and-LeafDisplay,Histogram,Polygon,Ogive,Frequency Distributions andCumulative Distributions,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-20,Organizing Numerical Data:Ordered Array,An ordered array is a sequence of data,in rank ord

13、er,from the smallest value to the largest value.Shows range(minimum value to maximum value)May help identify outliers(unusual observations),Example,A study that compares the cost of a restaurant meal in an urban area to the cost of a similar meal in the suburbs outside the city.,Example,From table 2

14、.6 you can see that the cost of a meal at the urban restaurant is between$16 and$74 and the cost of a meal at the suburban restaurants is between$20 and$68.,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-23,Stem-and-Leaf Display,A simple way to see how the data are distributed

15、and where concentrations of data existMETHOD:Separate the sorted data series into leading digits(the stems)and the trailing digits(the leaves),Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-24,Organizing Numerical Data:Stem and Leaf Display,A stem-and-leaf display organizes dat

16、a into groups(called stems)so that the values within each group(the leaves)branch out to the right on each row.,Stem and Leaf Display,Age of College StudentsDay Students Night Students,One measure of past performance,The return of low-risk mutual funds in 2006,Business Statistics:A First Course,5e 2

17、009 Prentice-Hall,Inc.,Chap 2-27,Organizing Numerical Data:Frequency Distribution,The frequency distribution is a summary table in which the data are arranged into numerically ordered classes.You must give attention to selecting the appropriate number of class groupings for the table,determining a s

18、uitable width of a class grouping,and establishing the boundaries of each class grouping to avoid overlapping.,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-28,Organizing Numerical Data:Frequency Distribution,The number of classes depends on the number of values in the data.Wi

19、th a larger number of values,typically there are more classes.In general,a frequency distribution should have at least 5 but no more than 15 classes.To determine the width of a class interval,you divide the range(Highest valueLowest value)of the data by the number of class groupings desired.,Busines

20、s Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-29,Organizing Numerical Data:Frequency Distribution Example,Example:A manufacturer of insulation randomly selects 20 winter days and records the daily high temperature24,35,17,21,24,37,26,46,58,30,32,13,12,38,41,43,44,27,53,27,Business St

21、atistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-30,Organizing Numerical Data:Frequency Distribution Example,Sort raw data in ascending order:12,13,17,21,24,24,26,27,27,30,32,35,37,38,41,43,44,46,53,58Find range:58-12=46Select number of classes:5(usually between 5 and 15)Compute class inter

22、val(width):10(46/5 then round up),Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-31,Organizing Numerical Data:Frequency Distribution Example,Determine class boundaries(limits):Class 1:10 to less than 20Class 2:20 to less than 30Class 3:30 to less than 40Class 4:40 to less than

23、50Class 5:50 to less than 60Compute class midpoints:15,25,35,45,55Count observations&assign to classes,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-32,Organizing Numerical Data:Frequency Distribution Example,Data in ordered array:12,13,17,21,24,24,26,27,27,30,32,35,37,38,41,4

24、3,44,46,53,58,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-33,Tabulating Numerical Data:Cumulative Frequency,Class,10 but less than 20 3 15 3 1520 but less than 30 6 30 9 4530 but less than 40 5 25 14 7040 but less than 50 4 20 18 9050 but less than 60 2 10 20 100 Total 20 10

25、0,Percentage,Cumulative Percentage,Data in ordered array:12,13,17,21,24,24,26,27,27,30,32,35,37,38,41,43,44,46,53,58,Frequency,Cumulative Frequency,Example,Frequency distributions of the cost per meal of 50 urban restaurants and 50 suburban restaurants,Percentage Distribution,Cumulative Percentage D

26、istribution,Cumulative Percentage Distribution,Frequency Distribution,Relative Frequency Distribution,Cumulative Percentage Distribution,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-41,Why Use a Frequency Distribution?,It condenses the raw data into a more useful formIt allow

27、s for a quick visual interpretation of the dataIt enables the determination of the major characteristics of the data set including where the data are concentrated/clustered,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-42,Frequency Distributions:Some Tips,Different class bound

28、aries may provide different pictures for the same data(especially for smaller data sets)Shifts in data concentration may show up when different class boundaries are chosenAs the size of the data set increases,the impact of alterations in the selection of class boundaries is greatly reducedWhen compa

29、ring two or more groups with different sample sizes,you must use either a relative frequency or a percentage distribution,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-43,Organizing Numerical Data:The Histogram,A vertical bar chart of the data in a frequency distribution is ca

30、lled a histogram.In a histogram there are no gaps between adjacent bars.The class boundaries(or class midpoints)are shown on the horizontal axis.The vertical axis is either frequency,relative frequency,or percentage.The height of the bars represent the frequency,relative frequency,or percentage.,Bus

31、iness Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-44,Organizing Numerical Data:The Histogram,Daily High Temperature,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-45,Organizing Numerical Data:The Histogram,Price-Urban Restaurant,Price-Suburban Restaurant,2006 Re

32、turn(Growth Funds),2006 Return(Value Funds),Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-50,Organizing Numerical Data:The Polygon,A percentage polygon is formed by having the midpoint of each class represent the data in that class and then connecting the sequence of midpoints

33、 at their respective class percentages.The cumulative percentage polygon,or ogive,displays the variable of interest along the X axis,and the cumulative percentages along the Y axis.Useful when there are two or more groups to compare.,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap

34、 2-51,Graphing Numerical Data:The Frequency Polygon,Class,10 but less than 20 15 320 but less than 30 25 630 but less than 40 35 540 but less than 50 45 450 but less than 60 55 2,Frequency,Class Midpoint,Daily High Temperature,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-52,G

35、raphing Numerical Data:The Frequency Polygon,Percentage Polygon Cost of Meals at Urban and Suburban Restaurant,Percentage Polygon for Growth and Value Funds,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-55,Graphing Cumulative Frequencies:The Ogive(Cumulative%Polygon),Class,10

36、but less than 20 10 1520 but less than 30 20 4530 but less than 40 30 7040 but less than 50 40 9050 but less than 60 50 100,%less than Lower boundary,Lower class boundary,Lower Class Boundary,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-56,Graphing Cumulative Frequencies:The

37、Ogive(Cumulative%Polygon),Lower Class Boundary,Cumulative Percentage Polygonfor Cost of Meals,Cumulative Percentage Polygon for Growth and Value Funds,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-59,Cross Tabulations,Used to study patterns that may exist between two or more c

38、ategorical variables.Cross tabulations can be presented in Contingency Tables,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-60,Cross Tabulations:The Contingency Table,A cross-classification(or contingency)table presents the results of two categorical variables.The joint respon

39、ses are classified so that the categories of one variable are located in the rows and the categories of the other variable are located in the columns.The cell is the intersection of the row and column and the value in the cell represents the data corresponding to that specific pairing of row and col

40、umn categories.,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-61,Cross Tabulations:The Contingency Table,A survey was conducted to study the importance of brand name to consumers as compared to a few years ago.The results,classified by gender,were as follows:,Example,Pattern o

41、r relationship between the level of risk and the objective of all 868 mutual funds.,Example,Fund objective and fund risk,based on percentage of overall total.,Example,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-65,Scatter Plots,Scatter plots are used for numerical data consi

42、sting of paired observations taken from two numerical variablesOne variable is measured on the vertical axis and the other variable is measured on the horizontal axisScatter plots are used to examine possible relationships between two numerical variables,Business Statistics:A First Course,5e 2009 Pr

43、entice-Hall,Inc.,Chap 2-66,Scatter Plot Example,Example,Relationship between the cost of fast-food meal and two movie tickets in various cities.,Example,Scatter Plot of the cost of a fast-food meal and the cost of two movie tickets.,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap

44、2-69,A Time Series Plot is used to study patterns in the values of a numeric variable over timeThe Time Series Plot:Numeric variable is measured on the vertical axis and the time period is measured on the horizontal axis,Time Series Plot,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,

45、Chap 2-70,Time Series Plot Example,Example,Time series plot for movie attendance,in billions,from 1999 to 2006.,Example,Time series plot for movie attendance,in billions,from 1999 to 2006.,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-73,Principles of Excellent Graphs,The grap

46、h should not distort the data.The graph should not contain unnecessary adornments(sometimes referred to as chart junk).The scale on the vertical axis should begin at zero.All axes should be properly labeled.The graph should contain a title.The simplest possible graph should be used for a given set o

47、f data.,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-74,Graphical Errors:Chart Junk,Minimum Wage,0,2,4,1960,1970,1980,1990,$,Good Presentation,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-75,Graphical Errors:No Relative Basis,As received by students.,A

48、s received by students.,Bad Presentation,0,200,300,FR,SO,JR,SR,Freq.,10%,30%,FR,SO,JR,SR,FR=Freshmen,SO=Sophomore,JR=Junior,SR=Senior,100,20%,0%,%,Good Presentation,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-76,Graphical Errors:Compressing the Vertical Axis,Good Presentatio

49、n,Quarterly Sales,Quarterly Sales,Bad Presentation,0,25,50,Q1,Q2,Q3,Q4,$,0,100,200,Q1,Q2,Q3,Q4,$,Business Statistics:A First Course,5e 2009 Prentice-Hall,Inc.,Chap 2-77,Graphical Errors:No Zero Point on the Vertical Axis,Monthly Sales,36,39,42,45,J,F,M,A,M,J,$,Graphing the first six months of sales,

50、Monthly Sales,0,39,42,45,J,F,M,A,M,J,$,36,Good Presentations,Bad Presentation,Example,Improper display of Australian wine exports to the US.,Example,The wineglass icon representing the 6.77 million gallons for 1997 dose not appear to be almost twice the size of the wineglass icon representing the 3.