Select the scenarios in which we would want . Assume that in each scenario, the GSIs are deciding whether or not to use a pa etric or non-parametric test. After collecting data on student study hebits, Jessica mines that her sample size Isn't large enough to hunt any meaningful tests Chandler is collecting data to see the relationship bet ents' midterm test scores and whether or not they have taken a practice midterm. He finds that distribution student midterm test scores for both categories of having taken a practice midterm is approximately normal. Mitchell and Antonia are trying to see if there's a relationship between students' sleeping habits and their performance in Public Health 142. After creating a histogram of students' sleeping hours, they've found that the distribution is left skewed with some outliers on both sides of the center. In addition, they only have 20 samples from the students in their sections. After plotting their data on a histogram, Alma and Yunzhe finds that the distribution of student homework scores is bimodal. Q6 1 Point With the R package broom, you can use the function _to create an augmented data frame that contains a column for the fitted y-values (?) and the residuals (e = y - ?)) among other columns." O augment( O tidyo O Imo O summary() Q7 1 Point True/False: A good-fitting linear regression model will generally have a relatively low regression standard error. O True O False