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Answered 2006-09-02 17:08:48

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The general term statistics might be the set of numbers representing some sort of information from a sample population. The term data set can also be applied.




One example is the "Five Number Summary" consisting of the sample's minimum, lower quartile, median, upper quartile and maximum.AnswerStatistics or data set might apply to the set of numbers that represent some sort of information from a sample population. AnswerDemographics is the statistical characteristics of a sampled population.


One example is the "Five Number Summary" consisting of the sample's minimum, lower quartile, median, upper quartile and maximum.


The sample must have a high probability of representing the population.


what information about the sample of a mean not provide


Information about the scale, spread or dispersion of the population from which the sample was drawn.


If you include the numbers 1 and 10, the sample space is 1,2,3,4,5,6,7,8.9 and 10


Why is it that dried food sample can contain lower numbers of microorganisms



For a large enough sample, it will resemble a rectangle whose base will be the range of the variable and the height will be the reciprocal of the number (or width) of the base.


Data is commonly referred to the quantitative attributes of a variable. A data is nothing but a result of something. Through this result, the information is derived. Sometimes we refer to Raw Data which is unprocessed in nature which can mean a collection of numbers or characters that collect information and then convert from quantities to symbols. Sample, in statistics can mean a subset of a population. Population can be huge, so the sample can represent just a manageable size. Sample is first collected and then the statistics are derived from the sample. This process is known as Sampling.


A sample grant closeout letter will obtain information about the grant. The information will include who the grant belongs to and the benefits of the grants.


title related to information technology


Because the GCF is the largest factor common to all the numbers in the sample. The LCM is the smallest number that all the sample numbers will divide into !


The sample mean helps researchers maintain the scope of their research. If the sample mean is too far from the mean of the population then the numbers may be skewed.


A disadvantage to a large sample size can skew the numbers. It is better to have sample sizes that are appropriate based on the data.



Information obtained from the sample can be extrapolated to the whole population using statistics.


When the sample - whether it is random or systematic - is somehow representative of the population.


You are studying the sample because you want to find out information about the whole population. If the sample you have drawn from the population does not represent the population, you will find out about the sample but will not find out about the population.


A single part, a portion or specimen representing the characteristics and qualities of the whole. Or a single example of a quantity of mass produced products


The mean, by itself, does not provide sufficient information to make any assessment of the sample variance.


Because it would usually be prohibitively expensive and time consuming to collect information from every single member of the population and because the law of large numbers is sufficiently robust to allow most characteristics of a population to be measured with sufficient accuracy from a sample.



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