List any changes that you made to your experimental protocol from when you formulated it on Tuesday/Wednesday and when you executed it on Thursday/Friday. Create a data frame based of the data you collected, listed in the order in which it was collected, and print it out into your lab report. You can print all rows your data frame using slice(my_df, 1:100). Consult the notes "A Tool for Computing with Data" for a refresher of how to make a data frame. Does the data frame differ at all from the one that you sketched into your experimental protocol? If so, how? Create a visualization of the data you collected (not the null distribution) similar to the one you sketched in the handout. Does it look clearly in support of your claim or contrary to your claim or somewhere in between? Considering the order in which the data was collected as a numeric covariate, (i.e. 1 for the first observation, 2 for the second, etc.), compute and report its standardized mean difference. Conduct a hypothesis test to check whether run order differs significantly across your experimental groups and interpret