usinesses rely heavily on statistics to determine consumer trends and calculate important economic data. The data that is collected and the information derived from that data is useful in planning...
it can provide passed business running data
to carry out research using quantitative methodology. To interpret relevant business statistics models. Use statistical data to make economic decitions.
ways of presenting data in statistics
Statistics is a mathematical science pertaining to the collection, analysis, interpretation or explanation, and presentation of data.[1] Statisticians improve the quality of data with the design of experiments and survey sampling. Statistics also provides tools for prediction and forecasting using data and statistical models. Statistics is applicable to a wide variety of academic disciplines, including natural and social sciences, government, and business.^Based On Wikipedia...
usinesses rely heavily on statistics to determine consumer trends and calculate important economic data. The data that is collected and the information derived from that data is useful in planning...
it can provide passed business running data
plays vital role in classification and analyses of data
all fied is collect of data then needs of sytistics
Businesses rely heavily on statistics to determine consumer trends and calculate important economic data. The data that is collected and the information derived from that data is useful in planning an advertising strategy based on demographics and geographies, and internal statistical data guides the business on how they should allocate their resources to insure the greatest profit margin.
to carry out research using quantitative methodology. To interpret relevant business statistics models. Use statistical data to make economic decitions.
Some data in statistics can affect numbers, which will skew the data. When this happens managers should make business decisions that ignore the stats.
plays vital role in classification and analyses of data
ways of presenting data in statistics
Paul Newbold has written: 'Forecasting in Business and Economics, Second Edition (Economic Theory, Econometrics, and Mathematical Economics)' 'Statistics for business and economics' -- subject(s): Statistical methods, Economics, Statistics, Commercial statistics 'On the incremental benefits of using consolidated accounting data to predict conglomerate earnings' 'Statistics for Business& Economics & Stu CD' 'Introductory business forecasting' -- subject(s): Statistical methods, Business forecasting
Statistics is a mathematical science pertaining to the collection, analysis, interpretation or explanation, and presentation of data.[1] Statisticians improve the quality of data with the design of experiments and survey sampling. Statistics also provides tools for prediction and forecasting using data and statistical models. Statistics is applicable to a wide variety of academic disciplines, including natural and social sciences, government, and business.^Based On Wikipedia...
Statistics is the mathematical science involving the collection and analysis of data. The fields are actuarial science, astrostatistics, biostatistics, business analytics, epidemiology, and operation research; along with a few more.