mean v.[T] 1.(词语等)表示...的意思,作...解释 2. 意指,意谓 3. 意味着,即是 4. 意欲,打算;怀有 5. 预定;注定;指定 6. 引起,造成 v.[I] 1. 怀 distribution n. 1.分发,分配 2.散布,分布 3.分配;分布 4.(商品)运销,经销,分销 5.按比例分配;分配法;分发方式 6.分配物,配给物;分...
ar·ith·met·ic mean (ăr′ĭth-mĕt′ĭk) The value obtained by dividing the sum of a set of quantities by the number of quantities in the set. For example, if there are three test scores 70, 83, and 90, the arithmetic mean of the scores is their sum (243) divided by th...
Additionally, there are two more parameters of the distribution: skewness and kurtosis. Skewness measured the degree of the asymmetry in the distribution with respect to the mean value. Kurtosis is the measure of the “peakedness”—the tendency of the data to group more around the mean value ...
normal distributioncentral iimit theoremfrequency tablerelative frequencySummary The prelims comprise: Populations and Distributions Sampling from Finite Populations The Distribution of the Sample Meandoi:10.1002/9780470316474.CH3B. BrownM. HollanderJohn Wiley & Sons, Inc....
- 《Journal of Bioscience & Bioengineering》 被引量: 13发表: 2009年 An introduction to functional data analysis and a principal component approach for testing the equality of mean curves An application of PCA is developed to test for the equality of the means of several populations (functional ...
A sample of n=4 scores has a mean of 75. What is the z score of the sample? Z-Scores: Z-scores are used to determine where a score or sample falls within a distribution relative to the mean of that distribution, in terms of the variability of that distribution. ...
These measures (mean and standard deviation) characterizing the sample are called as the statistics. Note:It is to be noted that several sample distributions are possible from a given set of population.
In Klee and Kind [60], the authors presented a statistical approach in which they analyzed the root mean square (RMS) of time-slices (C-Scans) during the hydration process of concrete. The general procedure is described in Kind et al. [61]. C-Scans can be obtained by measuring more th...
Thus, the best pˆQ(X) may be found by minimizing the lefthand side of (11.86). The criterion may be simplified by approximating the expectation with respect to pˆN(X) in (11.86) by the sample mean over the existing samples X1,…,XN, as (11.87)J=1N∑i=1N[−lnpˆQ(Xi)...
While the mean of a sampling distribution is equal to the mean of the population, the standard error depends on the standard deviation of the population, the size of the population, and the size of the sample.1 Knowing how spread apart the mean of each of the sample sets are from each ...