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EMC Dell Data Science Foundations Sample Questions (Q267-Q272):

NEW QUESTION # 267
You are testing two new weight-gain formulas for puppies. The test gives the results: Control group: 1% weight gain Formula A. 3% weight gain Formula B. 4% weight gain A one-way ANOVA returns a p-value = 0.027
What can you conclude?

A. Formula B is more effective at promoting weight gain than Formula A.
B. Either Formula A or Formula B is effective at promoting weight gain.
C. Formula A and Formula B are both effective at promoting weight gain.
D. Formula A and Formula B are about equally effective at promoting weight gain.

Answer: B

NEW QUESTION # 268
Your organization has a website where visitors randomly receive one of two coupons. It is also possible that visitors to the website will not receive a coupon.
You have been asked to determine if offering a coupon to visitors to your website has any impact on their purchase decision.
Which analysis method should you use?

A. One-way ANOVA
B. K-means clustering
C. Student T-test
D. Association rules

Answer: A

NEW QUESTION # 269
Refer to the exhibit.

Click on the calculator icon in the upper left corner.
You are given a list of predefined association rules:
A) RENTER => BAD CREDIT
B) RENTER => GOOD CREDIT
C) HOME OWNER => BAD CREDIT
D) HOME OWNER => GOOD CREDIT
E) FREE HOUSING => BAD CREDIT
F) FREE HOUSING => GOOD CREDIT
For your next analysis, you must limit your dataset based on rules with confidence greater than 60%.
Which of the rules will be kept in the analysis?

A. Rules C and E
B. Rules D and E
C. Rules B and D
D. Rules A and F

Answer: C

NEW QUESTION # 270
Refer to 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. You cannot request additional data.
What is a way that you could try to increase the R2 of the model without artificially inflating it?

A. Create clusters based on the data and use them as model inputs
B. Break variables A, B, and C into their own univariate models
C. Force all 15 variables into the model as independent variables
D. Create interaction variables based only on variables A, B, and C

Answer: A

NEW QUESTION # 271
Refer to the exhibit.

A. Rules C and E
B. Rules D and E
C. Rules B and D
D. Rules A and F

Answer: C

NEW QUESTION # 272
......

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