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The larger your sample size, the less variance there will be. For instance, your information is going to be much more substantial if you took 1000 samples over 10 samples.
When alpha is 2 or less than 2 the variance of the inverse gamma doesn't exist. That is why when the variance is defined for the inverse gamma it always says "for α > 2". It is also the case that when alpha is 1 or less the mean of the inverse gamma doesn't exist. In order to really undertand what it means to say the variance doesn't exist (or the mean doesn't exist) you need to understand the mathematical definition of the variance (and of the mean). I don't know how to add the necessary symbols to clearly explain this. However, just briefly, mathematically both the mean and variance of the gamma density are definite integrals over the support of the density, which is 0 to infinity. In general, sometimes a definity integral over an infinite range (negative and/or positive) exists and sometimes it doesn't. In the case of the definite integral for the variance on the inverse gamma, when alpha less than or equal to 2, this integral doesn't exist.
A recursive rule is one which can be applied over and over again to its own output
When data is homogeneous over k independent samples of size n_i for i=1,2,...,k, the pooled variance is given by s_p^2=((n_1-1) s_1^2+(n_2-1) s_2^2+⋯(n_k-1) s_k^2)/(n_1+n_2+⋯+n_k-k)
It should make marketing easier because the amount purchased has a smaller variance. This means that the numbers are closer to 12 and so there is less of a need to carry large stocks for when the demand is high.
Difference between actual overhead and applied overhead is as follows: Difference = 33451 - 32000 = 1450 Difference of variance will be charged to income statement.
the amount of force needed to perform the task the distance over which the force is applied the direction in which the force is applied
the amount of force needed to perform the task the distance over which the force is applied the direction in which the force is applied
A variance is the difference between the projected budget and the actual performance for a particular account. A negative variance means that the budgeted amount was greater than the actual amount spent. A positive variance means that the budgeted amount was less than the actual amount spent. Note there is some debate over whether a negative variance means an underrun or an overrun. The Project Management Institute, however, endorses the accepted convention that a negative variance is a bad thing, and a positive variance a good thing.
How historical events repeat themselves over time.. Common factors and reasons to justify an event over time.
Variance is a measure of "relative to the mean, how far away does the other data fall" - it is a measure of dispersion. A high variance would indicate that your data is very much spread out over a large area (random), whereas a low variance would indicate that all your data is very similar.Standard deviation (the square root of the variance) is a measure of "on average, how far away does the data fall from the mean". It can be interpreted in a similar way to the variance, but since it is square rooted, it is less susceptible to outliers.
Work is applied to an object and the object is moved over a distance in the same direction of the applied force.
When the area over which a force is applied decreases, the average force applied over said area increases. In other words, the pressure (force/area) increases.
By definition, work is a force that's applied over a specific
Force applied over a period of time has the dimensions of momentum, and is referred to as "impulse".
Monitoring income statements is a way that people can monitor variance between actual performance and budget. Managers can be assigned to look over income statements for clients.
Force applied over a period of time has the dimensions of momentum, and is referred to as "impulse".