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"Voluntary benefits" is the name given to a collection of benefits that employees choose to opt-in for and pay for personally, although as with flex plans, many employers make use of salary sacrifice schemes where the employee reduces their salary in exchange for the employer paying for the perk.
The weighted mean in this case is: ¯ = ¯ (=), (where the order of the matrix–vector product is not commutative), in terms of the covariance of the weighted mean: ¯ = (=), For example, consider the weighted mean of the point [1 0] with high variance in the second component and [0 1] with high variance in the first component.
In 1961, the company changed its name to Automatic Data Processing, Inc. (ADP), and began using punched card machines, check printing machines, and mainframe computers. ADP went public in 1961 with 300 clients, 125 employees, and revenues of approximately US$400,000. [3] The company established a subsidiary in the United Kingdom in 1965.
The result of this application of a weight function is a weighted sum or weighted average. Weight functions occur frequently in statistics and analysis, and are closely related to the concept of a measure. Weight functions can be employed in both discrete and continuous settings.
The IRS monitors defined contribution plans such as 401(k)s to determine if they are top-heavy, or weighted too heavily in providing benefits to key employees. If the plans are too top-heavy, the company must remedy this by allocating funds to the other employees' (known as non-key employees) benefit plans. [53]
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The triangular distribution has a mean equal to the average of the three parameters: μ = a + b + c 3 {\displaystyle \mu ={\frac {a+b+c}{3}}} which (unlike PERT) places equal emphasis on the extreme values which are usually less-well known than the most likely value, and is therefore less reliable.
The "chart" actually consists of a pair of charts: one, the individuals chart, displays the individual measured values; the other, the moving range chart, displays the difference from one point to the next.