In ANOVA, what is the null hypothesis for k population means?

Which SQL OLAP grouping extension returns a result for each output row with 1 identifying a summary row and 0 identifying grouped rows?

In addition to quantitative and technical skills, what is a key aspect of the profile of a data scientist?

When building a K-means clustering model, you notice that the clusters did not segment on variables that you expected. What should you do?

You have been given a task to improve sales force compensation of your organization. As a result of a study, your team decides to classify personnel as follows:

● Did not meet quota

● Met quota

● Exceeded 150% of quota

In which data analytics lifecycle phase should you define these categories for analysis purposes?

After which phase of the data analytics lifecycle should you determine if the model needs any recalibration?

What is a recommended use case for regular expressions?

Executives want to determine whether a change in a shopping rewards program has been effective in getting customers to increase their spending. Which approach could be used to determine if a significant shift in spending has occurred?

A decision tree is being built. An internal node is being evaluated for partitioning on variables A and B. The entropy of the internal node is 0.8. The entropy for each of the variables is as follows:

● Variable A: 0.5

● Variable B: 0.4

Which variable will be used to partition the data and what is the information gain?

In time series analysis, what function is examined to identify the order of the autoregressive component of an ARIMA model?

What is a key consideration when preparing a presentation intended for analysts?

What metrics are used to help calculate relevance in text analysis?

Which SQL set operator returns rows that exist in the first SELECT statement answer set but not in the second SELECT statement?

What action occurs during feature selection in the model building phase of the data analytics lifecycle?

Which phase of the data analytic lifecycle includes conducting project sponsor interviews and drafting a problem statement?

In time series analysis, what statement describes a MA(q) process?

Refer to the exhibit.

To predict whether or not a customer will renew their annual property insurance policy, an insurance company built and operationalized a naïve Bayes classification model. In the model, there are two class labels, renewal and non-renewal, that are assigned to each customer based on their attributes.

A subset of the key attributes, their values, and corresponding conditional probabilities are provided in the exhibit.

A customer has the following attributes:

● Age is greater than 65 years

● Owns their own home

● Renewal month is August

If 20% of customers do not renew the police every year, what is the score for a renewal in the naïve Bayesian model for the customer described above?