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 th e correct answer?

Which of the following are true about the correlation coefficient r? Select all that apply. Select one or more: O The correlation coefficient is always greater than 0. The correlation coefficient is always between -1 and +1. O The correlation coefficient will change if we change the units of measure. O If the correlation coefficient is positive, the slope of the regression line will also be positive. O If the correlation coefficient is +1, then the slope of the regression line is also +1. O If the correlation coefficient is close to 0, that means there is a strong linear relationship between the two variables.3. Using Microsoft Excel\Fit a power-law equation of the form y = ax" to the following set of experimental data using least-squares fitting techniques. Report the values of a, b, and the correlation coefficient r. (i) Plot the raw data points and the least-squares fit on linear graph paper and (ii) Plot the raw data points on log-log paper (or plot In y vs. In x on linear paper). Note: Do not perform these plots on excel spreadsheets. Plot these manually on actual graph paper. You can download these in Coursesite. X y 0.5 1.96 1.0 2.54 1.5 2.77 2.0 3.23 2.5 3.34 3.0 3.66 3.5 3.76Q.4. Consider the respective Risks and Returns of American and European Manufacturers for 2001-2005: American European Return 20% 25% Standard Deviation 15% 25% Weights 30% 70% Correlation Coefficient 0.9 Correlation Coefficient 0 Correlation Coefficient -0.4 Correlation Coefficient -1 Calculate the (a). Portfolio return (5) (b). Portfolio Risk by considering correlation coefficient