The file `data_exp.csv` contains the data from a numerosity-estimation task conducted online. The experiment was pre-registered: https://aspredicted.org/48yv-zs3c.pdf. In Python, the data can be easily read using Pandas: data = pd.read_csv('data_exp.csv', index_col=0) The columns are as follows: - `sid`: Subject's ID. - `section`: 'A' or 'B'. In section A, the three priors were presented “separately”, i.e., in this section there were three blocks of successive trials, and each block featured a prior that did not change across trials. Subjects were explicitly informed of the prior, at the beginning of each block. In section B, at each trial the prior was chosen randomly, and explicitly told to the subject. - `phase`: 'feedback' or 'nofeedback': whether or not feedback (i.e., the correct answer) was provided after each response. - `prior`: 'narrow', 'medium', or 'wide'. - `nb_dots`: number of dots presented. - `response`: response chosen by the subject. - `trajectory`: list that shows the sequence of slider positions temporarily selected by the subject as they make theyr decision. In addition, "mdn" means that they press down their mouse key, and "mup" means that they release it. - `error`: difference between 'nb_dots' and 'response' - `points`: number of points obtained in the trial.