For a N(0, 1) distribution, no linear transformation is necessary and so the z-score is the value of the coordinate on the horizontal axis.
For a N(0, 1) distribution, no linear transformation is necessary and so the z-score is the value of the coordinate on the horizontal axis.
For a N(0, 1) distribution, no linear transformation is necessary and so the z-score is the value of the coordinate on the horizontal axis.
For a N(0, 1) distribution, no linear transformation is necessary and so the z-score is the value of the coordinate on the horizontal axis.
As you may know that variance analysis is intrinsically connected with planned and actual results and effects of the difference between those two on the performance of the entity or company. This variance analysis can lead to the identification of certain types of task that frequently overrun their budget whilst other tasks may be seen to regularly come in under their budget. Occurrences such as these require further investigation in order to identify potential efficiency gains. The major problem with a variance analysis approach to project monitoring is the amount of time it takes to establish actual costs. On the majority of large projects, supported by a typical accounts department, there will be a time lag of around 6 weeks before spend information can be accurately reported. The shortcomings and disadvantages of VA can be addressed below: The monitoring cycle can be so long that it renders the application of control impossible. Typically, by the time a problem has been identified through variance analysis it is too late to take corrective action. This is a major shortcoming of variance analysis and highlights the need for a monitoring system that depicts the current status of the project more effectively.
it depends on what is being measured
So people looking at the chart or graph will know what it depicts.
Histogram
Synonyms for exemplifies include: shows, represents, demonstrates, depicts, epitomizes, illustrates
Amber
Standard error (statistics)From Wikipedia, the free encyclopediaFor a value that is sampled with an unbiased normally distributed error, the above depicts the proportion of samples that would fall between 0, 1, 2, and 3 standard deviations above and below the actual value.The standard error is a method of measurement or estimation of the standard deviation of the sampling distribution associated with the estimation method.[1] The term may also be used to refer to an estimate of that standard deviation, derived from a particular sample used to compute the estimate.For example, the sample mean is the usual estimator of a population mean. However, different samples drawn from that same population would in general have different values of the sample mean. The standard error of the mean (i.e., of using the sample mean as a method of estimating the population mean) is the standard deviation of those sample means over all possible samples (of a given size) drawn from the population. Secondly, the standard error of the mean can refer to an estimate of that standard deviation, computed from the sample of data being analyzed at the time.A way for remembering the term standard error is that, as long as the estimator is unbiased, the standard deviation of the error (the difference between the estimate and the true value) is the same as the standard deviation of the estimates themselves; this is true since the standard deviation of the difference between the random variable and its expected value is equal to the standard deviation of a random variable itself.In practical applications, the true value of the standard deviation (of the error) is usually unknown. As a result, the term standard error is often used to refer to an estimate of this unknown quantity. In such cases it is important to be clear about what has been done and to attempt to take proper account of the fact that the standard error is only an estimate. Unfortunately, this is not often possible and it may then be better to use an approach that avoids using a standard error, for example by using maximum likelihood or a more formal approach to deriving confidence intervals. One well-known case where a proper allowance can be made arises where Student's t-distribution is used to provide a confidence interval for an estimated mean or difference of means. In other cases, the standard error may usefully be used to provide an indication of the size of the uncertainty, but its formal or semi-formal use to provide confidence intervals or tests should be avoided unless the sample size is at least moderately large. Here "large enough" would depend on the particular quantities being analyzed (see power).In regression analysis, the term "standard error" is also used in the phrase standard error of the regression to mean the ordinary least squares estimate of the standard deviation of the underlying errors.[2][3]
amber
Red
Pietà, Madonna col Bambino (mother Mary with the Christ Child).
The movie depicts Henry VIII relative to today's culture.This diagram depicts the relationship of the departments in the company.
I can give you several sentences.This painting depicts Washington crossing the Potomac.The sculptor depicts the face of the child with loving detail in this marble bust.The story depicts our hero in the midst of a fierce battle.
A globe depicts the entire world, and so do some maps.
It was introduced in 1972 and depicts a symbol of wisdom
A ______ visually depicts what your conclusion should look like
As you may know that variance analysis is intrinsically connected with planned and actual results and effects of the difference between those two on the performance of the entity or company. This variance analysis can lead to the identification of certain types of task that frequently overrun their budget whilst other tasks may be seen to regularly come in under their budget. Occurrences such as these require further investigation in order to identify potential efficiency gains. The major problem with a variance analysis approach to project monitoring is the amount of time it takes to establish actual costs. On the majority of large projects, supported by a typical accounts department, there will be a time lag of around 6 weeks before spend information can be accurately reported. The shortcomings and disadvantages of VA can be addressed below: The monitoring cycle can be so long that it renders the application of control impossible. Typically, by the time a problem has been identified through variance analysis it is too late to take corrective action. This is a major shortcoming of variance analysis and highlights the need for a monitoring system that depicts the current status of the project more effectively.
The Standard of Ur is a Sumerian artifact that depicts scenes of war and peace. On one side, it shows a battle scene with soldiers and chariots, while the other side shows a banquet or celebration with a king and his attendants. It is believed to have been a commemorative object or a symbol of authority.