Statistics for Economics Complete Guide | A to Z Concepts Last Updated : 25 Aug, 2023 Improve Improve Like Article Like Save Share Report What is Statistics for Economics? The word Statistics is derived from the Greek word ‘Statistique, ’ Latin word ‘Status, ’ the Italian word ‘Statista, ’ and the German word ‘Statistic.’ Statistics is defined as the study, collection, analysis, interpretation, and organization of data for different ultimate objectives. Statistics help a user in gathering and analyzing huge numerical data easily and efficiently. Statistics plays a major role in economics. It helps in the study of market structure and understand the different economic problems. After a better understanding of the economic problems, statistics also help in solving those issues by formulating appropriate economic policies. Every economics branch takes the help of statistics to prove different economic theories. What is Statistics Complete Guide? This Complete Guide to Statistics for Economics includes all the important concepts of Statistics that one requires to learn in order to understand the subject. Table of Contents: A ◦ B ◦ C ◦ D ◦ E ◦ F ◦ G ◦ H ◦ I ◦ J ◦ K ◦ L ◦ M ◦ N ◦ O ◦ P ◦ Q ◦ R ◦ S ◦ T ◦ U ◦ V ◦ W ◦ X ◦ Y ◦ Z A Arithmetic Mean Arithmetic Mean in Special Cases Arithmetic Line Graph B Bar Diagrams C Census Method of Data Collection Classification of Data Classification of Data: Objectives and Characteristics Classification of Data: Basis Combined Standard Deviation Correlation Correlation: Methods of Measurement Correlation: Scattered Diagram Correlation: Spearman’s Rank Correlation Coefficient Correlation: Karl Pearson’s Coefficient of Correlation Consumer Price Index Consumer Price Index: Methods of Construction D Data Collection: Methods Data Collection: Sources Data Collection: Schedules Method Data Collection: Questionnaire Method Data Collection: Census Method Data Collection: Sample Method Direct Personal Investigation Diagrammatic Presentation of Data Diagrams: Types Deciles Dispersion: Absolute and Relative Difference between Direct Personal Investigation and Indirect Oral Investigation Difference between Questionnaire and Schedule Difference between Census Method and Sampling Method of Collecting Data Difference between Frequency Array and Frequency Distribution F Frequency Distribution: Types Frequency Polygon Fisher’s Method of Calculating Weighted Index Number G Graphic Presentation of Data H Histogram I Indirect Personal Investigation Information from Local Sources or Correspondents Interquartile Range Index Number Index Number: Construction Methods Index Number: Unweighted or Simple Index Number: Weighted Index Number: Calculation Methods Index Number: Ideal Method Index Number: Fisher’s Method Index Number: Paasche’s Method Index Number: Laspeyre’s Method Industrial Production Index Number Inflation and Index Number K Karl Pearson’s Coefficient of Correlation Karl Pearson’s Coefficient of Correlation: Methods L Lorenz Curve Laspeyre’s Method of Calculating Weighted Index Number M Measures of Central Tendency Mean in Individual Series Mean in Discrete Series Mean in Continuous Series Median Median in Individual Series Median in Discrete Series Median in Continuous Series Median: Graphical Representation Mode Mode in Individual Series Mode in Discrete Series Mode: Grouping Method in Discrete Series Mode in Continuous Series Mode: Special Cases Mode: Graphical Method Mean Deviation Mean Deviation: Different Statistical Series N National Sample Survey Organisation (NSSO) O Organisation of Data Ogive (Cumulative Frequency Curve) P Pie Diagram Partition Value Percentiles Paasche’s Method of Calculating Weighted Index Number Q Questionnaire Method of Data Collection Qualities of a Good Questionnaire and Types of Questions Quartiles Quartile Deviation R Raw Data Range Range: Coefficient of Range S Statistics for Economics: Introduction Secondary Data Collection Published Sources Secondary Data: Precautions Secondary Data: Census of India and NSSO Sample Methods of Data Collection Sampling Methods Sampling Methods Reliability Statistical Errors Statistical Series: Types Simple Arithmetic Mean Standard Deviation and Coefficient of Standard Deviation Standard Deviation in Individual Series Standard Deviation in Discrete Series Standard Deviation in Continuous Series Standard Deviation: Combined Spearman’s Rank Correlation Coefficient Simple Index Number T Textual Presentation of Data Tabular Presentation of Data Tables: Types Tabulation of Data Time-Series Graph U Unweighted Index Number V Variable Variance Variance: Coefficient of Variance W Weighted Arithmetic Mean Weighted Index Number Wholesale Price Index Important Formulas: Important Formulas in Statistics for Economics Statistics for Economics Notes: CBSE Class 11 Statistics for Economics Notes Like Article Suggest improvement Next CBSE Class 11 Statistics for Economics Notes Share your thoughts in the comments Add Your Comment Please Login to comment...