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SAS Certified BI Content Developer for SAS 9 and Business Analytics Questions and Answer (Dumps and Practice Questions)



Question : 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?
: Refer to the exhibit.
1. Medium wrist size is significantly different than small wrist size.
2. Large wrist size is significantly different than medium wrist size.
3. Large wrist size is significantly different than small wrist size.
4. There is no significant difference due to wrist size.

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Question : An analyst compares the mean salaries of men and women working at a company.
The SAS data set SALARY contains variables:
Gender (M or F)
Pay (dollars per year)
Which SAS programs can be used to find the p-value for comparing men's salaries with women's
salaries?
: An analyst compares the mean salaries of men and women working at a company.
1. A,B
2. B,C
3. C,D
4. A,D

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Explanation: In many situations we need to compare the counts of an event in two populations to see if the populations differ statistically in terms of the event. The Chi-square procedure or Fisher's exact method are usually used to generate p-values for assessing the difference. It's an easy task to perform when there are only a couple of events under consideration. However, if the number of events increase to hundreds, like adverse events in clinical trials, we want the work to be done in an automatic way. proc ttest, is used for both the single sample inference, two independent samples and matched pairs.

The ttest procedure performs t-tests for one sample, two samples and paired observations. The single-sample t-test compares the mean of the sample to a given number (which you supply). The dependent-sample t-test compares the difference in the means from the two variables to a given number (usually 0), while taking into account the fact that the scores are not independent. The independent samples t-test compares the difference in the means from the two groups to a given value (usually 0). In other words, it tests whether the difference in the means is 0.






Question : Given the following GLM procedure output:
Which statement is correct at an alpha level of 0.05?
: Given the following GLM procedure output:
1. School*Gender should be removed because it is non-significant.
2. Gender should be removed because it is non-significant.
3. School should be removed because it is significant.
4. Gender should not be removed due to its involvement in the significant interaction.

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Refer Study Material given with this to understand GLM output



Related Questions

Question : RMSE is a good measure of accuracy, but only to compare forecasting errors of different models for a ______, as it is scale-dependent.
 : RMSE is a good measure of accuracy, but only to compare forecasting errors of different models for a ______, as it is scale-dependent.
1. Between Variables
2. Particular Variable
3. Among all the variables
4. All of the above are correct




Question : Let's say you have two cases as below for the movie ratings
1. You recommend to a user a movie with four stars and he really doesn't like it and he'd rate it two stars
2. You recommend a movie with three stars but the user loves it (he'd rate it five stars).
So which statement correctly applies?
 : Let's say you have two cases as below for the movie ratings
1. In both cases, the contribution to the RMSE is the same
2. In both cases, the contribution to the RMSE is the different
3. In both cases, the contribution to the RMSE, could varies
4. None of the above




Question : RMSE is a useful metric for evaluating which types of models?
: RMSE is a useful metric for evaluating which types of models?
1. Logistic regression
2. Naive Bayes classifier
3. Linear regression
4. All of the above


Question : Select the correct statement which applies to logistic regression
 : Select the correct statement which applies to logistic regression
1. Computationally inexpensive, easy to implement, knowledge representation easy to interpret
2. May have low accuracy
3. Works with Numeric values
4. Only 1 and 3 are correct
5. All 1,2 and 3 are correct


Question : Suppose training data are oversampled in the event group to make the number of events and
nonevents 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?
 : Suppose training data are oversampled in the event group to make the number of events and
1. Depth
2. Sensitivity
3. Specificity
4. Positive predictive value


Question : Refer to the exhibit:
The plots represent two models, A and B, being fit to the same two data sets, training and
validation. Model A is 90.5% accurate at distinguishing blue from red on the training data and 75.5% accurate
at doing the same on validation data. Model B is 83% accurate at distinguishing blue from red on
the training data and 78.3% accurate at doing the same on the validation data.
Which of the two models should be selected and why?
 : Refer to the exhibit:
1. Model A. It is more complex with a higher accuracy than model B on training data.

2. Model A. It performs better on the boundary for the training data.

3. Model B. It is more complex with a higher accuracy than model A on validation data.

4. Model B. It is simpler with a higher accuracy than model A on validation data.