Business statistics
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This document discusses the use of statistics in the fashion industry. It begins by defining key statistical terms like data, population, sample, and descriptive and inferential methods. It then discusses how statistics are used in areas like economics, marketing, production, and finance within fashion. Specifically, statistics can be used for time series analysis, demand analysis, and helping human resource management with tasks like analyzing wage rates, attrition rates, and performance appraisals. The document also covers topics like choosing appropriate data collection methods based on research constraints, different data sources like primary and secondary data, designing questionnaires, types of questions to include, and examples of questionnaire design for consumer preference analysis.
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Business statistics
This document provides an overview of business statistics presented by 5 students. It defines key statistical concepts such as population, sample, data, parameter, and statistic. It explains that statistics is the science of decision making through collecting, organizing, classifying, analyzing, interpreting and presenting data. The document also outlines functions and limitations of statistics, and discusses statistical inquiry including collecting primary and secondary data.
Three Components of Information Research
The document provides an overview of three components for business information research: knowledge of resources, skills, and acknowledging sources. It discusses various types of information resources like books, journal articles, statistics, industry reports, market surveys, and economic indicators. It also highlights skills like critical thinking on sources and choosing appropriate resources.
Introduction to Statistics
Statistics is defined as the collection, organization, analysis, and interpretation of numerical data. It involves aggregating facts that are affected by many influences and expressing them quantitatively with a reasonable degree of accuracy in a systematic way for a specific purpose, and relating the data to other facts. Statistics is important for understanding economic performance, different sectors of the economy, regional balances, the government's role, and planned development. It also aids in comprehending basic economic principles and research. However, statistics has limitations as it does not consider individual observations, analyze qualitative factors, or ensure generalizations are always true.
Statistics for business decisions
This document discusses sources of data for business decisions. It outlines primary and secondary sources of data. Primary data is collected directly through observation, surveys, or experiments. Secondary data comes from internal sources like sales reports or external sources like government publications, industry associations, and international organizations. Some advantages of secondary data are that it is economical, time-saving, and helps improve understanding. However, disadvantages are that the data may not exactly fit the study, accuracy is unknown, and it could be outdated.
Sample Report: Alipay Profile 2019
Free Report Samples for our publication "Alipay Profile 2019".
Find the full report available for purchase at: https://bit.ly/3LYjznw
Syndicated sources of secondary data
This document discusses various sources of secondary syndicated data. It describes surveys, purchase and media panels, electronic scanner services, retailer and wholesaler audits, and industry services. Surveys can be periodic, panel-based, shared, or focus on areas like psychographics, lifestyles, advertising evaluation, or general topics. Purchase and media panels track purchasing and viewing behaviors over time. Electronic scanner services provide data on product sales tracked using barcode scanners. Retailer and wholesaler audits collect data through physical inventory counts. Industry services provide secondary data for industrial use, covering areas like finance, operations, and employment.
What is statistics
Statistics is the science of collecting, organizing, summarizing, and interpreting numerical data. It originated in the 18th century from Latin, Italian, and German words meaning "political state." Statistics can be divided into singular and plural forms. In the singular form, it refers to techniques for quantitative data analysis. In the plural form, it refers to the actual data, like population or employment statistics. Statistics provides definiteness, condenses large amounts of data, allows for comparison, and can be used for prediction, testing hypotheses, and policy formulation. Computers are now widely used to perform complex statistical calculations and analyze large datasets. Some limitations of statistics include only studying quantitative phenomena, only considering aggregates rather than individuals, requiring homogeneous data,
Statistics
Statistics is the study of collecting, organizing, analyzing, and presenting data. It has a long history dating back to 1749. Statistical activities often use probability models and require probability theory. Key concepts in statistics like experimental design and statistical inference have impacted many fields. Statistics is used in many areas including business, education, psychology, health, engineering, and more. Descriptive statistics describes data while inferential statistics makes conclusions about populations from samples.
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This document provides an overview of business statistics presented by 5 students. It defines key statistical concepts such as population, sample, data, parameter, and statistic. It explains that statistics is the science of decision making through collecting, organizing, classifying, analyzing, interpreting and presenting data. The document also outlines functions and limitations of statistics, and discusses statistical inquiry including collecting primary and secondary data.
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Statistics is defined as the collection, organization, analysis, and interpretation of numerical data. It involves aggregating facts that are affected by many influences and expressing them quantitatively with a reasonable degree of accuracy in a systematic way for a specific purpose, and relating the data to other facts. Statistics is important for understanding economic performance, different sectors of the economy, regional balances, the government's role, and planned development. It also aids in comprehending basic economic principles and research. However, statistics has limitations as it does not consider individual observations, analyze qualitative factors, or ensure generalizations are always true.
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Statistics is the science of collecting, organizing, summarizing, and interpreting numerical data. It originated in the 18th century from Latin, Italian, and German words meaning "political state." Statistics can be divided into singular and plural forms. In the singular form, it refers to techniques for quantitative data analysis. In the plural form, it refers to the actual data, like population or employment statistics. Statistics provides definiteness, condenses large amounts of data, allows for comparison, and can be used for prediction, testing hypotheses, and policy formulation. Computers are now widely used to perform complex statistical calculations and analyze large datasets. Some limitations of statistics include only studying quantitative phenomena, only considering aggregates rather than individuals, requiring homogeneous data,
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Business statistics
- 1. Shweta Iyer BFM-1 College of Fashion Design and Merchandising Business STATISTICS
- 2. Statistics:Collection of procedures and principles for gathering and analysing numerical information called data and draw conclusion and make decision. Data:Collection of observations of one or more variables of interest Population:Collection of elements of interest for gathering and analysing numerical information for drawing conclusions and making decisions Sample:limited collection of data BasicTerminologies
- 3. Since fashion industry also forms part of mainstream business in many of the countries It referes to increase and decrease of per capita income,wholesale price index,industrial production,exports,imports etc. Need of Statistics in fashion industry
- 4. 2 branches of statistics a)Mathematical statistics: knowledge of experimental or theoritical nature b)Applied statistics:formulating and solving problems in real life Types of statistics
- 5. Descriptive Method:collecting,presenting,depicting centre,spread and shape of data array. Graphic methods-bar graphs,line graphs,pie charts and numeric measures- central tendency,dispersion,skewness Inferential Method:methods of estimation population characterstics on basis of sample results and statistical hypothesis Statistical methods
- 6. Time series analysis for studying fluctuation in prices,production and consumption of commodities,savings,bank deposits and money transactions with respect of that industry. Demand analysis to study relationship between price of commodity and supply. Statistics in economics
- 7. Marketing Production Finanace Personnel:wage rate,incentive plans,cost of living,attrition rates,employment trends,performance appraisal ,need for training and development,help HRM in STATISTICS IN BUSINESS MANAGEMENT
- 8. Choice of data collection method depends on 1)Research facility available 2)Accuracy required in study 3)Time span of study 4)Amount of money required Data sources classified as a)Primary sources b)Secondary sources SOURCES OF DATA
- 12. TYPES OF QUESTIONS IN A QUESTIONNAIRE
- 14. EXAMPLE OF QUESTIONNAIRE BASED ON CONSUMER PREFERENCES
- 17. ADVANTAGES AND DISADVANTAGES OF SECONDARY DATA
- 20. THEORITICAL
- 21. QUESTIONTYPES-A
- 22. QUESTIONTYPES-B
- 25. TYPES OF DATA-2WAY AND 3 WAY
- 26. QUESTIONTYPES-C
- 27. QUESTIONTYPES-D
- 28. • Types of apparels in menswear • Formal informal • Famous brand • Price comparison • Place comparison • Pricing strategy • Company profile • Brief history • Questionnaire • Analysis • Bibliography • Submission on 26th November • Spiral bounded • Colored submission-A4 • TIMES NEW ROMAN-SIZE 12 FINAL SUBMISSION -A Study On Consumer Preference For Branded Apparels-Menswear/womens’ wear/kids’ wear-apparel types