Free SASInstitute A00-240 Practice Test & Real Exam Questions
Refer to the confusion matrix:
Calculate the sensitivity. (0 - negative outcome, 1 - positive outcome) Click the calculator button to display a calculator if needed.
Calculate the sensitivity. (0 - negative outcome, 1 - positive outcome) Click the calculator button to display a calculator if needed.
Correct Answer: B
Vote an answer
Refer to the exhibit:
Which statement is true, based on the plots above?
Which statement is true, based on the plots above?
Correct Answer: A
Vote an answer
Refer to the exhibit.
Given alpha=0.02, which conclusion is justified regarding percentage of body fat, comparing small (S), medium (M), and large (L) wrist sizes?
Given alpha=0.02, which conclusion is justified regarding percentage of body fat, comparing small (S), medium (M), and large (L) wrist sizes?
Correct Answer: D
Vote an answer
An analyst knows that the categorical predictor, storeId, is an important predictor of the target.
However, store_Id has too many levels to be a feasible predictor in the model. The analyst wants to combine stores and treat them as members of the same class level.
What are the two most effective ways to address the problem? (Choose two.)
However, store_Id has too many levels to be a feasible predictor in the model. The analyst wants to combine stores and treat them as members of the same class level.
What are the two most effective ways to address the problem? (Choose two.)
Correct Answer: A,D
Vote an answer
The SAS data set RESULT contains the following variables:
* Region (GrpA or GrpB)
* Sales (dollars per year)
Which SAS programs can be used to find the p-value for comparing GrpA sales with GrpB sales? (Choose two.)
* Region (GrpA or GrpB)
* Sales (dollars per year)
Which SAS programs can be used to find the p-value for comparing GrpA sales with GrpB sales? (Choose two.)
Correct Answer: B,D
Vote an answer
Suppose training data are oversampled in the event group to make the number of events and non-events roughly equal. A logistic regression is run and the probabilities are output to a data set NEW and given the variable name PE. A decision rule considered is, "Classify data as an event if probability is greater than 0.5." Also the data set NEW contains a variable TG that indicates whether there is an event (1=Event, 0= No event).
The following SAS program was used.
What does this program calculate?
The following SAS program was used.
What does this program calculate?
Correct Answer: D
Vote an answer
Which characteristic of Studentized residuals indicate potential outliers?
Correct Answer: C
Vote an answer
Refer to the exhibit:
The box plot was used to analyze daily sales data following three different ad campaigns.
The business analyst concludes that one of the assumptions of ANOVA was violated.
Which assumption has been violated and why?
The box plot was used to analyze daily sales data following three different ad campaigns.
The business analyst concludes that one of the assumptions of ANOVA was violated.
Which assumption has been violated and why?
Correct Answer: B
Vote an answer
Refer to the confusion matrix:
Calculate the accuracy and error rate (0 - negative outcome, 1 - positive outcome)
Calculate the accuracy and error rate (0 - negative outcome, 1 - positive outcome)
Correct Answer: C
Vote an answer
This question will ask you to provide missing code segments.
A logistic regression model was fit on a data set where 40% of the outcomes were events (TARGET=1) and
60% were non-events (TARGET=0). The analyst knows that the population where the model will be deployed has 5% events and 95% non-events. The analyst also knows that the company's profit margin for correctly targeted events is nine times higher than the company's loss for incorrectly targeted non-event.
Given the following SAS program:
What X and Y values should be added to the program to correctly score the data?
A logistic regression model was fit on a data set where 40% of the outcomes were events (TARGET=1) and
60% were non-events (TARGET=0). The analyst knows that the population where the model will be deployed has 5% events and 95% non-events. The analyst also knows that the company's profit margin for correctly targeted events is nine times higher than the company's loss for incorrectly targeted non-event.
Given the following SAS program:
What X and Y values should be added to the program to correctly score the data?
Correct Answer: D
Vote an answer
