Statistics –meaning and uses1
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Statistics refers to the collection, analysis, and interpretation of numerical data. It involves gathering numerical facts about topics like birth rates, death rates, school attendance, and industrial output. Statistics helps summarize this information using measures like percentages, averages, means, modes, and standard deviations. It is used in education for research, supporting decision making, and understanding continuous and discrete data series.
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Elementary Statistics for Business.pptx
Elementary Statistics for Business.pptxHarish Augad Elementary Statistics for Business provides an overview of how statistics is used in various business functions and decision making. It discusses how statistical analysis is used in marketing to understand customer needs and determine appropriate strategies. Operations and supply chain management also relies on statistics to make decisions around production levels and costs. Finance and purchasing both use historical statistical data to inform efficient practices. Business research primarily analyzes numerical and text data to solve business problems. Descriptive and inferential statistics are introduced as the main branches of statistics used. Common measures of central tendency like mean, median and mode are also outlined.
INTRODUCTION TO STATISTICS.pptx
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Research and Data Analysi-1.pptx
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What is data.pptxASHUTOSHGAURAV10 Statistics is the science of extracting information from data to gain knowledge and make decisions. It uses mathematical models and tools to analyze both qualitative and quantitative data. Qualitative data includes attributes and categories while quantitative data uses numerical scales. The document provides an overview of statistics as a field that draws information from collected facts and figures to be used in various domains like commerce, economics, and research.
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Introduction to Statistics-prelimanary.pptxUthayaSuriyan4 - Statistics involves collecting, classifying, summarizing, analyzing, and interpreting data. Biostatistics applies statistical methods to biological and medical data.
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Statistics.pptx
Statistics.pptxlavanya209529 Statistics can be categorized into descriptive and inferential types. Descriptive statistics summarize data from samples using measures like mean and standard deviation, while inferential statistics interpret descriptive statistics to draw conclusions. There are four levels of measurement scales: nominal for categories without ordering; ordinal for ordered categories; interval for equal intervals but arbitrary zero; and ratio for absolute zero. Proper use of statistics and scales allows for accurate data analysis across various fields.
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Statistics Assignment HelpEssay Corp This document provides an overview of statistics and statistical concepts. It discusses what statistics is, the importance of studying statistics, different types of data, descriptive and inferential statistics, sampling methods, applications of statistics in business, and numerical scale measurement. Key points covered include that statistics is the science of organizing, analyzing and interpreting data; it involves both descriptive statistics which summarizes data and inferential statistics which makes conclusions about populations from samples; and statistical concepts find use in fields like marketing, finance, and personnel.
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Business Stats PPT1.pptxGautamGulati24 This document provides an overview of key concepts in business statistics. It defines statistics as both a plural and singular noun, describing the collection and analysis of quantitative data. Some basic concepts explained include population, sample, parameter, and variables. Different types of data are outlined according to criteria like scale of measurement, time aspects, and interpretability. Methods of descriptive statistics covered include measures of central tendency, dispersion, skewness, kurtosis, and outlier detection. Box plots and violin plots are introduced as tools for visually identifying outliers.
Role of Statistics in Scientific Research
Role of Statistics in Scientific ResearchVaruna Harshana This document discusses the role and importance of statistics in scientific research. It begins by defining statistics as the science of learning from data and communicating uncertainty. Statistics are important for summarizing, analyzing, and drawing inferences from data in research studies. They also allow researchers to effectively present their findings and support their conclusions. The document then describes how statistics are used and are important in many fields of scientific research like biology, economics, physics, and more. It also provides examples of statistical terms commonly used in research studies and some common misuses of statistics.
1.why study statistics.
1.why study statistics.Anirud Reddy Vem Statistics is the science of dealing with data about populations and using statistical techniques to make decisions that affect our lives. It is used extensively in fields like marketing, accounting, and healthcare to better understand data and make effective decisions. Studying statistics allows for simple presentation of complex data, expands individual knowledge and experience, facilitates comparison of large data sets, and helps with forecasting by extrapolating present data to predict future changes. Statistics provides a more reliable basis for decision-making than individual perceptions alone.
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Statistics –meaning and uses1
- 1. Statistics –Meaning and Uses
- 2. Statistics means: •It refers to numerical facts •Collection of numerical data Ex: birth and death rate, school attendance, census, employment market, output of industrial plants etc. •It refers to method or method of dealing with numerical facts. •It is a science of collection, summarizing and interpreting numerical data. •It is a summarized figures of numerical facts such as percentages, average, mean, mode, standard deviation etc.
- 3. Statistics refers to one of the subjects of study that helps us in the scientific collection, presentation, analysis and interpretation of numerical facts.
- 5. Uses of statistics in education:
- 6. Research:
- 8. •Continuous series: •When data has non-integers •Eg. Height of students, weight of students •Discrete series: •When data is only in integers. •Eg. No. of students, score of cricketer