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In "Calculating pooled sample variance", the lab is asking to demarcate the rejection region βwith vertical lines identifying each critical value that signifies the rejection region.β In the solution they use the t-statistic is used as those cut-off lines, not the t-critical value.
ax.axvline(t_stat, color='black', linestyle='--', lw=5)
ax.axvline(-t_stat, color='black', linestyle='--', lw=5)
Please review/revise as necessary. Thanks!
https://learning.flatironschool.com/courses/6535/assignments/239232?module_item_id=562072
The first concern is that the code blocks in the SC instance are out of order. The "control" variable is called before it is defined in a later code cell. This raises a NameError and is not consistent with the order of the code cells provided in the github repo. Once the code cells are in order, in SC only, it raises a StopIteration error with the solution branch code provided in the github repo. If I run this locally (with the cells in the correct order), I do not get this StopIteration Error. The code runs successfully, but also still retains a semantic error. There are "Orange" bars referenced in the comment of the github repo code for the lab, but all that appears is two overlapping blue bars.
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