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EMC Dell Data Science Foundations Sample Questions (Q318-Q323):

NEW QUESTION # 318
In ANOVA, what is the null hypothesis for k population means?

• A. All population means are equal to each other
• B. At least two population means are equal
• C. At least two population means are not equal
• D. At most k-1 population means are equal

Answer: A

Explanation:
In ANOVA (Analysis of Variance), the null hypothesis is that all population means are equal to each other.
The goal is to test whether there is evidence to reject this hypothesis, indicating that at least one population mean differs from the others.

 

NEW QUESTION # 319
What is the reason for using LOESS?

• A. Fits a smoothed curve to scatterplot data; providing a general idea of the data's behavior
• B. Runs after a one-way ANOVA; determining which population has the highest mean value
• C. Plots a continuous variable versus a discrete variable; comparing distributions across classes
• D. Significance test for the correlation between two variables

Answer: A

 

NEW QUESTION # 320
Consider a database with the following four transactions:
Transaction 1: {cheese, bread, milk}
Transaction 2: {soda, bread, milk}
Transaction 3: {cheese, bread}
Transaction 4: {cheese, soda, juice}
Assuming a minimum support of 50%, which itemsets would be generated in the second step of the Apriori algorithm?

• A. {cheese, bread}, {cheese, milk}, {bread, milk}
• B. {cheese, bread}, {cheese, bread, milk}
• C. {cheese, bread}, {bread, milk}
• D. {cheese}, {bread}, {milk}, {soda}

Answer: C

 

NEW QUESTION # 321
You have scored your Naïve Bayesian Classifier model on "hold out" test data for cross validation. You have determined the way the samples scored and have tabulated them as shown in the exhibit.

What are the Precision and Recall rates of the model?

• A. Precision = 288/262 Recall = 277/262
• B. Precision = 262/277 Recall = 262/288
• C. Precision =262/288 Recall = 262/277
• D. Precision = 277/262 Recall = 288/262

Answer: B

 

NEW QUESTION # 322
Refer to the exhibit.

You are asked to write a report on how specific variables impact your client's sales using a data set provided to you by the client. The data includes 15 variables that the client views as directly related to sales, and you are restricted to these variables only.
After a preliminary analysis of the data, the following findings were made:
1. Multicollinearity is not an issue among the variables
2. Only three variables-A, B, and C-have significant correlation with sales You build a linear regression model on the dependent variable of sales with the independent variables of A, B, and C.
The results of the regression are seen in the exhibit.
Which interpretation is supported by the analysis?

• A. Due to the R2 of 0.10, the model is not valid - the linear regression should be rerun with all 15 variables forced into the model to increase the R2
• B. Variables A, B, and C are significantly impacting sales, but are not effectively estimating sales
• C. Variables A, B, and C are significantly impacting sales and are effectively estimating sales
• D. Due to the R2 of 0.10, the model is not valid - a different analytical model should be attempted

Answer: B

 

NEW QUESTION # 323
......

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