randomized controlled experimentsfield experimentscausal diagramsdirected acyclic graphsaverage treatment effectnonparametricAttrition is the Achilles' Heel of the randomized experiment: it is fairly common, and it can unravel the benefits of randomization. This study considers when and why attrition is a ...
With a hypothesis in hand and the proper targets in mind, you’re able to start building your experiment. By this point, segmentation has helped to narrow down the total customer pool to the. Instead of testing every single customer within the new segment, you’ll need to create two groups...
Based on his research, Mischel proposed what he referred to as a "hot-and-cool" system to explain the ability to delay gratification. The hot system refers to the part of our willpower that is emotional and impulsive and urges us to...
This will allow you to test two or more campaign groups, campaigns, or ad sets against one another in a controlled environment to determine which performs best based on a single variable. Before we get to creating an A/B test in Experiments, let’s cover a little bit of background… A ...
It is important to examine the cell culture every day, and immediately prior to subculturing, as a means to monitor cell health, check for contamination, and determine when to split the cells. A first examination of the culture for fungal contamination, turbidity, and particles in the medium ...
In practice, many experiments can be simplified by using only two levels of each factor. This may occur naturally or it may be used when a single change in level will show whether the factor is significant or not. Once the experiment is completed, the problem is to determine the real effe...
Even if a certain control policy is able to steer a system towards a target state, it may not be possible to implement it in practice because of resource16 and energy17 constraints. To determine admissible control policies, one typically resorts to optimal control (OC) methods that rely on ...
A power analysis using the SimR30 package was used to determine the sample sizes for Experiment 1 and Experiment 2. To determine the power for Experiment 1, we used data from a pilot study (n = 23) which employed a similar, but not identical, design. This analysis indicated that wil...
This algorithm, which can be seen as a 1-dimensional K-means clustering (Dent et al., 2008), tries to determine the best arrangement of values into different classes. It does this by minimizing each class’s average deviation from the class mean, while maximizing each class’s deviation fro...
One of the six featured projects is a soccer-playing robot controlled by a cellphone accelerometer. 125 Physics Projects for the Evil Genius by Jerry Silver. McGraw Hill Professional, 2009. A variety of home physics experiments, including a number of cunning ways to test force and acceleration....