In which phase of the analytic lifecycle would you expect to spend most of the project time?
A. Discovery
B. Data preparation
C. Communicate Results
D. Operationalize
You have used k-means clustering to classify behavior of 100, 000 customers for a retail store. You decide to use household income, age, gender and yearly purchase amount as measures. You have chosen to use 8 clusters and notice that 2 clusters only have 3 customers assigned. What should you do?
A. Decrease the number of clusters
B. Increase the number of clusters
C. Decrease the number of measures used
D. Identify additional measures to add to the analysis
What does R code nv <- v[v < 1000] do?
A. Selects the values in vector v that are less than 1000 and assigns them to the vector nv
B. Sets nv to TRUE or FALSE depending on whether all elements of vector v are less than 1000
C. Removes elements of vector v less than 1000 and assigns the elements >= 1000 to nv
D. Selects values of vector v less than 1000,modifies v,and makes a copy to nv
Which key role for a successful analytic project can provide business domain expertise with a deep understanding of the data and key performance indicators?
A. Business Intelligence Analyst
B. Project Manager
C. Project Sponsor
D. Business User
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?
A. (y3-y2) ?(y2-y1) = .........= (yn-yn-1)-(yn-1-yn-2)
B. (y2-y1) = (y3-y2) = ....... = (yn-yn-1)
C. ((y2-y1) /y1 ) * 100% = .......((yn-yn-1)/yn-1) * 100%
D. (y4-y2) ?(y3-y1) = .........= (yn-yn-2)-(yn-1-yn-3)
When creating a project sponsor presentation, what is the main objective?
A. Show that you met the project goals
B. Show how you met the project goals
C. Show how well the model will meet the SLA (service level agreement)
D. Clearly describe the methods and techniques used
The average purchase size from your online sales site is $17, 200. The customer experience team believes a certain adjustment of the website will increase sales. A pilot study on a few hundred customers showed an increase in average purchase size of $1.47, with a significance level of p=0.1. The team runs a larger study, of a few thousand customers. The second study shows an increased average purchase size of $0.74, with a significance level of 0.03. What is your assessment of this study?
A. The change in purchase size is not practically important,and the good p-value of the second study is probably a result of the large study size.
B. The change in purchase size is small,but may aggregate up to a large increase in profits over the entire customer base.
C. The difference in the change in purchase size between the two studies is troubling; The team should run another,larger study.
D. The p-value of the second study shows a statistically significant change in purchase size. The new website is an improvement.
Which word or phrase completes the statement? Business Intelligence is to monitoring trends as Data Science is to ________ trends.
A. Predicting
B. Discarding
C. Driving
D. Optimizing
Consider a scale that has five (5) values that range from "not important" to "very important". Which data classification best describes this data?
A. Ordinal
B. Nominal
C. Real
D. Ratio
Data visualization is used in the final presentation of an analytics project. For what else is this technique commonly used?
A. Data exploration
B. Descriptive statistics
C. ETLT
D. Model selection
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