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Question ID 16178

You have been assigned to do a study of the daily revenue effect of a pricing model of
online transactions. All the data currently available to you has been loaded into your
analytics database; revenue data, pricing data, and online transaction data. You find that all
the data comes in different levels of granularity. The transaction data has timestamps (day,
hour, minutes, seconds), pricing is stored at the daily level, and revenue data is only
reported monthly. What is your next step?

Option A

Report back to the business owner that the current data model does not support the business question.

Option B

Interpolate a daily model for revenue from the monthly revenue data.

Option C

Aggregate all data to the monthly level in order to create a monthly revenue model.

Option D

Disregard revenue as a driver in the pricing model, and create a daily model based on pricing and transactions only.

Correct Answer A
Explanation


Question ID 16179

In a Student's t-test, what is the meaning of the p-value?

Option A

Area under the appropriate tails of the student's distribution

Option B

Power of the Student's t-test

Option C

Mean of the distribution for the null hypothesis

Option D

 Mean of the distribution for the alternate hypothesis

Correct Answer A
Explanation

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