Final answer:
To provide a specific answer on Emily's model, more context about her study and the specifics of the model are required. Possible statistical tests that could be used in such models include an independent samples t-test or a paired samples t-test, depending on whether the comparison is between two independent groups or two related conditions within the same group.
Step-by-step explanation:
To describe Emily's model for how likely the TT practitioners are to choose the correct hand, it is necessary to have more context about Emily's study and the specifics of the model. However, based on the information provided, there are several statistical approaches we can discuss that could fit various types of models one might use to determine such likelihoods.
If Emily's model is designed to compare two groups, such as comparing a group of TT practitioners with a control group, the appropriate statistical test might be an independent samples t-test. This would test whether there is a significant difference in the ability to choose the correct hand between TT practitioners and a control group.
In another scenario, if Emily is assessing the performance of TT practitioners over time or with and without a specific training, a paired samples t-test could be used to determine if their ability to choose the correct hand improved or differed in some way. The paired samples t-test compares the means of two related groups to determine if there is a statistically significant difference between them.
Without more details on Emily's model, it is challenging to provide a specific answer. The key is to understand the nature of the data and to select a hypothesis test that matches the experimental design and the distribution of the data.