Question:

In the article by Gadd and Phipps (2012), they refer to the challenges faced by psychological and, specifically, neuropsychological assessment. Their study focused on a preliminary standardisation of the Wisconsin Card Sorting Test (a non-verbal measure) for Setswana-speaking university students. The US normative sample is described as participants (N = 899) from both genders who were screened beforehand to exclude individuals with a history of neurological, learning, emotional and attention difficulties. The South African sample consisted of university students (N = 93) from both genders, between the ages of 18 and 29, who were screened in terms of hearing and visual impairments and any history of psychiatriceurological difficulties. The latter was done to prevent contamination of the results by these variables. The students were from the University of Limpopo, Medunsa Campus. Answer Questions 1 to 5.

Question 5

Gadd and Phipps (2012) found that the results of the South African sample on the Wisconsin Card Sorting Test did not resemble a normal distribution and could not be converted to a normal distribution. This implies that the ...

(1) mean performance of this sample cannot be calculated

(2) standard deviation will differ below and above the mean

(3) mean and standard deviation do not provide a predetermined distribution of performance

(4) results cannot be replicated

Would 1 be the correct answer?

Which of the following is NOT an appropriate course of action if data transformation fails to homogen ze variances In an ANOVA? 1. Consider modifying your study design to include larger and/or better balanced samples 1. Conduct the corresponding non-parametric test 1. Conduct the ANOVA anyway, because ANOVA is robust 1. Convert the ANOVA to a series of t-testsExercise 1 {It points] \"Thich of the following statements is true?I {a} logistic regression is a parametric model while random forest is a nonparametric model. {b} logistic regression is a nonparametric mode] while random forest is a parametric model. {C} logistic regression and random forest are both parametric models. {d} logistic regression and random forest are both nonparametric models. [El All of the above. [f] None of the above. ast-1-prod-fleet01-xythos.s3.amazonaws.com/5b158bd279e57/1791544?response-cach + | A Read aloud Draw DATA-101 Homework Assignment 9 Instructions . This homework assignment is worth 75 points. . Please submit a .ipynb and a . R files to Blackboard. . One submission per team. . Please strive for clarity and organization. . Due Date: November 6, 2020 by 11:59 pm. Exercise 1 (4 points) Which of the following statements is true? (a) logistic regression is a parametric model while random forest is a non-parametric model. (b) logistic regression is a non-parametric model while random forest is a parametric model. (c) logistic regression and random forest are both parametric models. (d) logistic regression and random forest are both non-parametric models. (e) All of the above. (f) None of the above. Exercise 2 4 points ) Consular the Below tale that shows the predicted churn probabilities of five theisu utica gwen summer of cable company. What's the bagzel prealleted churn problality asia O a2. In the carseats data set, we will seek to predict Sales using regression trees and related approaches, treating the response as a quantitative variable. 3) Split the data set into a training set and a test set. b) Fit a regression tree to the training set. Plot the tree, and interpret the results. What test MSE. RMSE and MAPE do you obtain? Compare them to training errors. c) Determine the optimal level of tree complexity. Try to prune the tree and explain whether pruning the tree improve the test MSE