NO.180 Before you build an ARMA model, how can you tell if your time series is weakly stationary?

NO.181 What is a core deliverable at the end of the analytic project?

NO.182 Which chart type is intended to display correlations between sets of numeric data?

NO.183 A study was run to identify general dietary patterns among the residents of a small town. Twelve thousand people were surveyed and the data was subject to K-means clustering.
In one of the iterations, there were six clusters formed with 38, 1560, 1799, 2560, 2893, and 3150 respondents.
What should be the next step in identifying optimal clusters?

NO.184 Imagine you are trying to hire a Data Scientist for your team. In addition to technical ability and quantitative background, which additional essential trait would you look for in people applying for this position?

NO.185 In the Map Reduce framework, what is the purpose of the Reduce function?

NO.186 Which key role for a successful analytic project can provide business domain expertise with a deep understanding of the data and key performance indicators?

NO.187 In addition to quantitative and technical skills, what is a key aspect of the profile of a data scientist?

NO.188 In addition to less data movement and the ability to use larger datasets in calculations, what is a benefit of analytical calculations in a database?

NO.189 Which component of a final presentation focuses on how to deploy the model?

NO.190 You have been assigned to perform a study of the daily revenue effect of a pricing model of online transactions. All data currently available to you has been loaded into your analytics database. This includes revenue data, pricing data, and online transaction data.
You discover that all data comes in different levels of granularity. The transaction data has timestamps consisting of day, hour, minutes, and seconds. Pricing is stored at the daily level and revenue data is only reported monthly.
What is the next step?

NO.191 What is a good use case for logistic regression?

NO.192 What is holdout data?

NO.193 A call center for a large electronics company handles an average of 35, 000 support calls a day. The head of the call center would like to optimize the staffing of the call center during the rollout of a new product due to recent customer complaints of long wait times.
You have been asked to create a model to optimize call center costs and customer wait times.
The goals for this project include:
1. Relative to the release of a product, how does the call volume change over time?
2. How to best optimize staffing based on the call volume for the newly released product, relative to old products.
3. Historically, what time of day does the call center need to be most heavily staffed?
4. Determine the frequency of calls by both product type and customer language.
Which goals are suitable to be completed with MapReduce?

NO.194 On analyzing your time series data you suspect that the data represented as y1, y2, y3, … , yn-1, yn may have a trend component that is quadratic in nature.
Which pattern of data will indicate that the trend in the time series data is quadratic in nature?

NO.195 A disk drive manufacturer has a defect rate of less than 1.0% with 98% confidence. A quality assurance team samples 1000 disk drives and finds 14 defective units.
Which action should the team recommend?