Examples of using Variable cost in English and their translations into Telugu
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Create zero variable cost data(Section 4.6.1).
The key to running large experiments is to drive your variable cost to zero.
Create zero variable cost data(Section 4.6.1).
The key to running large experiments is driving your variable cost to zero.
The second main type of variable cost is payments to participants.
Bit By Bit- Running experiments-4.6.1 Create zero variable cost data.
To drive variable costs all the way to zero, however, a different approach is needed.
Further, the MusicLab experiments show that zero variable cost does not have to be an end in itself;
In the past, they have been logistically difficult,but those difficulties are fading because of the possibility of zero variable cost data.
This example also shows that zero variable cost data is not just about doing things cheaper.
To be clear, the desire to reduce the size of your experiment does notmean that you should not run large, zero variable cost experiments.
Further, the MusicLab experiments show that zero variable cost does not have to be an end in itself;
However, when there is zero variable cost data, researchers don't face a cost constraint on the size of their experiment, and this has the potential to lead to unnecessarily large experiments.
For more about using bots to create zero variable cost experiments see.
However, the ability to create zero variable cost experiments can raise new ethical questions, the topic that I shall now address.
If you want to run really large experiments,you should try to decrease your variable cost as much as possible and ideally all the way to zero.
There are two main elements of variable cost- payments to staff and payments to participants- and each of these can be driven to zero using different strategies.
MusicLab was able to run at essentially zero variable cost because of the way that it was designed.
Another approach to creating zero variable cost payment to participants is to use a lottery, an approach that has also been used in survey research(Halpern et al. 2011).
MusicLab was able to run at essentially zero variable cost because of the way that it was designed.
Another approach to creating zero variable cost payment to participants is to use a lottery, an approach that has also been used in survey research(Halpern et al. 2011).
These experiments don't really have zero variable cost, they have zero variable cost to researchers.
In Chapter 4,we saw how you can create zero variable cost data by designing experiments that people actually want to be in, such as the music downloading experiment that I created with Peter Dodds and Duncan Watts(Salganik, Dodds, and Watts 2006).
These experiments don't really have zero variable cost- rather, they have zero variable cost to researchers.
In Chapter 4,we saw how you can create zero variable cost data by designing experiments that people actually want to be in, such as the music downloading experiment that I created with Peter Dodds and Duncan Watts(Salganik, Dodds, and Watts 2006).
For example, in a lab experiment, variable costs might come from paying staff and participants.
With appropriate design, you can drive the variable cost of your experiment all the way to zero, and this can create exciting research opportunities.
In the past, this reduction happened naturally because the variable cost of analog experiments was high, which encouraged research to optimize their design and analysis.
In addition to illustrating the benefits of zero variable cost data, the MusicLab experiments also show a challenge with this approach: high fixed costs. .
Even though digital experiments have low variable costs, you can create a lot of exciting opportunities when you drive the variable cost all the way to zero.