• multivariate normal distr
• The multivariate normal distribution is often used to describe, at least approximately, any set of (possibly) correlated real-valued random variables each of which clusters around a mean value. (princeton.edu)
• central limit t
• This same distribution had been discovered by Laplace in 1778 when he derived the extremely important central limit theorem , the topic of a later section of this chapter. (onlinestatbook.com)
• quantile
• The normality of the data may be evaluated by using the MINITAB "NSCORES" command to calculate the normal scores for the data, then plotting the observed data against the normal quantile values. (yale.edu)
• The standardized values in the second column and the corresponding normal quantile scores are very similar, indicating that the temperature data seem to fit a normal distribution. (yale.edu)
• The plot of these columns, with the temperature values on the horizontal axis and the normal quantile scores on the vertical axis, is shown to the right (the two scales in the horizontal axis provide original and standardized values). (yale.edu)
• calculate
• What I had to be told is that you just calculate a z score and find the area under the normal distribution below that point. (uvm.edu)
• follow a normal distribution
• This plot indicates that the data appear to follow a normal distribution, with only the three largest values deviating from a straight diagonal line. (yale.edu)
• transformation
• The form of such a transformation on normal deviates [ X ≈ N (0, 1)] is Y = a + bX + cX 2 + dX 3 . (springer.com)
• Although
• Although the normal distribution was first applied to the description of measurement errors, scientists later began to realize that it also described variation in human phenomena independent of errors of measurement. (encyclopedia.com)
• APPLICATIONS
• One of the first applications of the normal distribution was to the analysis of errors of measurement made in astronomical observations, errors that occurred because of imperfect instruments and imperfect observers. (onlinestatbook.com)
• Patnaik, P. B. The non-central chi square and F distributions and their applications. (springer.com)
• Figure
• For example, figure 1 shows the distribution of serum albumin concentration in a sample of adults displayed as a histogram. (bmj.com)
• Figure 3 shows the distributions of samples of different sizes drawn at random from normal distributions-few of the small samples look like a normal distribution, but the similarity increases as the sample size increases. (bmj.com)
• Visual inspection of the distribution may suggest whether the assumption of normality is reasonable but, as figure 3 suggests, this approach is unreliable. (bmj.com)
• values
• When we measure a quantity in a large number of individuals we call the pattern of values obtained a distribution. (bmj.com)
• case
• Distribution Channels Case Study Assigned by 1 Target market are Women, Married or in a relationship, between age of 21-45, socioeconomic group A, and located eastern South. (educationindex.com)