Applied Econometrics and Economic Modeling

1. Statistical Review Measures of Central Location

8. The Mode

13. Distribution of Shoe Sizes

14. Measures of Variability: Variance and Standard Deviation

24. Interpretation of the Standard Deviation: Rules of Thumb

28. Time Series Plot of Dow Closing Index

29. Time Series Plot of Dow Returns

31. Rules of Thumb for Dow Jones Data

35. Obtaining Summary Measures with Add-Ins

38. Available Summary Measures

42. Measures of Association: Covariance and Correlation

48. Scatterplot Indicating Positive Relationship

49. Scatterplot Indicating Negative Relationship

52. Describing Data Sets with Boxplots

56. Boxplot Chart

57. Boxplot Summary Measures

61. Describing Data Sets with Boxplots

66. Actor Data in Stacked Form

67. Side-by-Side Boxplot Chart

69. Applying the Tools

75. Summary Measures for Combined Data

76. Histogram of All Amounts Owed

77. Scatterplot of Amount versus Days for All Customers

78. Summary Measures Broken Down by Size

79. Histogram for Small Customers

80. Histogram of Amount for Medium Customers

81. Histogram of Amount for Large Customers

82. Boxplots of Days Owed by Different Size Customers

83. Boxplots of Amounts Owed by Different Size Customers

84. Scatterplot of Amount versus Days for Small Companies

85. Scatterplot of Amount versus Days for Medium Companies

86. Scatterplot of Amount versus Days for Large Companies

90. Pivot Tables for Counts of Customers Who Owe More than $500

97. Applying the Tools

101. The Data

104. Time Series Plot of Initial Waiting and Arrivals Variables

108. Average Initial Waiting by Hour of Day

110. Average Arrivals by Time Interval of Days

112. Scatterplot of Checkers versus Total Customers

113. Scatterplot of End Waiting versus Checkers

117. Applying the Tools

123. Scatterplot of Amount Spent versus Salary

125. Scatterplot of Amount Spent versus Catalogs

126. Scatterplot of Amount Spent versus Children

128. Percent of Home Owners versus Age, Married and Gender

130. Percent of Married versus Age, OwnHome and Gender

131. Average Salary versus Age, Gender, Married and OwnHome

133. Percentages in History Categories versus Children and Close

135. Catalog Distribution versus History

137. Average Amount Spent versus History, Catalogs and Demographic Variables