Medical imaging studies have found a possible link between autism and the absenc
ID: 3133901 • Letter: M
Question
Medical imaging studies have found a possible link between autism and the absence of two structures in the brain (the "superior olives") that are used for interpreting facial expressions and other social cues. Doctors want to know whether the link is real. They randomly select patients at risk for autism. Those that have superior olives are placed in one group and those that do not, in another. All the patients are screened for autism. The percentages of autistic patients in the two groups are to be compared. A hypothesis test for which of the following is most suitable for this comparison?
One mean, known
One mean, unknown
Paired data
Two means, using independent samples
ANOVA
One proportion
Two proportions
Independence of categorical variables
Medical imaging studies have found a possible link between autism and the absence of two structures in the brain (the "superior olives") that are used for interpreting facial expressions and other social cues. Doctors want to know whether the link is real. They randomly select patients at risk for autism. Those that have superior olives are placed in one group and those that do not, in another. All the patients are screened for autism. The percentages of autistic patients in the two groups are to be compared. A hypothesis test for which of the following is most suitable for this comparison?
One mean, known
One mean, unknown
Paired data
Two means, using independent samples
ANOVA
One proportion
Two proportions
Independence of categorical variables
Explanation / Answer
Correct Answer: Independence of categorical variables
since one categorical variable is AGE and another categorical variable is degree of saties faction.
To test the association between two variables, We have to use a test which is "Chi-square test for independence of attributes".
Definition: This test is applied when you have two categorical variables from a single population. It is used to determine whether there is a significant association between the two variables.