Estimate Of The Error Rate In The Population
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Rate Of Population Change
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader. Journal of Marketing Research Vol. 19, how to calculate error rate statistics No. 1, Feb., 1982 Estimation of Error ... Estimation of Error Rates in Several-Population Discriminant Analysis Stephen C. Hora and James B. Wilcox Journal of Marketing Research Vol. 19, No. 1 (Feb., 1982), pp. 57-61 Published by: American Marketing Association DOI: 10.2307/3151530 Stable URL: http://www.jstor.org/stable/3151530 Page Count: 5 Read Online (Free) Download ($24.00) Subscribe ($19.50) Cite this Item Cite This Item Copy Citation Export how to calculate error rate in excel Citation Export to RefWorks Export a RIS file (For EndNote, ProCite, Reference Manager, Zotero…) Export a Text file (For BibTex) Note: Always review your references and make any necessary corrections before using. Pay attention to names, capitalization, and dates. × Close Overlay Journal Info Journal of Marketing Research Description: Journal of Marketing Research (JMR) concentrates on the subject of marketing research, from its philosophy, concepts, and theories to its methods, techniques, and applications. This quarterly, peer-reviewed journal is published for technically-oriented research analysts, educators, and statisticians. JMR addresses concepts, methods, and applications of marketing research that present new techniques, contribute to knowledge based on experimental or descriptive methods, and review developments and concepts in related fields that have bearing on the research industry and practice. Articles pertain to applications of new and current marketing research methods and techniques, clarifications of marketing research methodology and practice, and analysis of the state of the art marketing research. JMR publishes articles representing the entire spectrum of research in marketing, ranging from analytical models of marketing phenomena to descriptive studies using ethnographic methodologies. Most research published in JMR fits into two ca
size depends upon whether the intended comparisons involve means or percents. The Sampling menu has two selections: Sample size for percents Sample size for means Sample size for percents This menu selection is used to determine the required size of a
How To Calculate Error Rate From Confusion Matrix
sample for research questions involving percents. Four questions must be answered to determine the sample how to calculate error rate running record size: 1. Best estimate of the population size: You do not need to know the exact size of the population. Simply make
How To Calculate Error Rate Percentage
your best estimate. An inaccurate population size will not seriously affect the formula computations. If the population is very large, this item may be left blank. 2. Best estimate of the rate in the population (%): Make your https://www.jstor.org/stable/3151530 best estimate of what the actual percent of the survey characteristic is. This is based on the null hypothesis. For example, if the null hypothesis is "blondes don't have more fun", then what is your best estimate of the percent of blondes that do have more fun? If you simply do not know, then enter 50 (for fifty percent). 3. Maximum acceptable difference (%): This is the maximum percent difference that you are willing to http://www.statpac.com/statistics-calculator/sampling.htm accept between the true population rate and the sample rate. Typically, in social science research, you would be willing to accept a difference of 5 percent. That is, if your survey finds that 25 percent of the sample has a certain characteristic, the actual rate in the population may be between 20 and 30 percent. 4. Desired confidence level (%): How confident must you be that the true population rate falls within the acceptable difference (specified in the previous question)? This is the same as the confidence that you want to have in your findings. If you want 95 percent confidence (typical for social science research), you should enter 95. This means that if you took a hundred samples from the population, five of those samples would have a rate that exceeded the difference you specified in the previous question. Example A publishing wants to know what percent of the population might be interested in a new magazine on making the most of your retirement. Secondary data (that is several years old) indicates that 22% of the population is retired. They are willing to accept an error rate of 5% and they want to be 95% certain that their finding does not differ from the true rate by more than 5%. What is the required sample size? Best estimate of the population
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