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An organization's customers are categorized based on the amount of purchases completed over the last 12 months. The analytics team would like to ensure the accuracy of their survey results and decide to randomly select 500 customers to participate in a survey from this large pool of customers. This is an example of:

A.

Stratified sampling

B.

Quota sampling

C.

Purposive sampling

D.

Snowball sampling

An online retailer of men's athletic apparel is seeking to become the market leader in the industry. To deliver on this strategy, the analytics team continuously collects data on the prices of competitorproducts and uses this information to adjust the retailer's prices. What type of analytics is the retailer using to maintain their pricing structure?

A.

Descriptive

B.

Diagnostic

C.

Predictive

D.

Prescriptive

An analytics system is being developed by relying entirely on research questions that are framed using the results from benchmarking. Which research question is being asked?

A.

Which customers provide the greatest profit to the company?

B.

How efficient is the company compared to its competitors?

C.

Will more profit be made if we increase or decrease our sales price?

D.

Which employees are we in danger of losing?

The marketing department for a major restaurant chain is interested in testing a Kids Eat Free campaign to determine if it will help to increase sales. They are interested in piloting the campaign to determine which day of the week will improve sales the most.

The campaign is launched across 7 cities with each city promoting a different day of the week. The sales data is collected and provided to a team for analysis. What concern might the analytics team have regarding data quality across cities?

A.

Normality

B.

Heteroskedacity

C.

Linearity

D.

Variation

A call center has requested to review their sales conversion data for the month. The analyst working on this request is trying to identify the chart that will effectively present the data, which includes: the number of leads, the number of calls made, the number of calls completed, the number of customers interested and the number of sales. What chart should the analyst use to show the values across each stage of the pipeline?

A.

Pie chart

B.

Funnel chart

C.

Bar chart

D.

Bullet chart

A consumer goods manufacturer has recently completed an analytics study to understand how to improve its operational excellence. From the top highlights, online sales outperformed other channels in sales growth and there was a direct relationship between positive customer reviews and increased internet sales. Which strategic business decision may be logically derived from

these results?

A.

Improve quality of the products

B.

Create an empowered and collaborative work culture

C.

Encourage customers to complete online reviews

D.

Improve operational efficiencies

A research marketer is interested in collecting information about the spending habits of families in North America. Concerned about the volume of data required to conduct the research, they choose to use sampling. The dataset is sourced using all credit card transactions from a leading North American credit card company for Quarter 1 of the prior year. The sample used is:

A.

Statistically representative

B.

Not relevant

C.

Too large to be helpful

D.

Biased

Interested in experimenting with analytics, a manufacturing company hires an analyst to see how the capability can be developed within its organization. The analyst is getting started and recognizes the need to show value from the onset of their work to gain upper management's trust and future funding. What action will accomplish these objectives?

A.

Solve the biggest problem the organization has first to quickly grab the support and

attention of senior management

B.

Develop a question that can be answered quickly regardless of alignment to strategy, just

to get started

C.

Develop a meaningful question that can be answered with data the company already has in

its possession

D.

Perform a market analysis to understand how competitors are using analytics and then

launch a similar initiative

The analytics team is assessing the results of their analysis. They are surprised to find that their data indicates two events seem to

be strongly related even though the general belief in the organization is that they are independent of each other. Knowing that

this information will be used for decision making, they are concerned about presenting this data. At an impasse, the business

analysis professional reminds them that the data can be presented as long as the team has:

A.

Review the results with management ahead of time and highlight any potential risk of using

this data

B.

Confidence that the correlation will reliably occur in the future and the risk of acting on this

is low

C.

Followed all rules for data analysis endorsed as organizational standards so the risk of

acting on this is low

D.

The ability to rerun the data analysis and the results are the same thereby minimizing the

risk of acting on this

With the recent departure of two of its employees, an IT helpdesk team is now understaffed and finding it difficult to keep up with the current workload. The number of tickets being received has increased as well as the number of days to resolve the tickets. The IT manager has set up a meeting with the IT director to request funding for two new helpdesk agents. To prepare for the

meeting, the manager is interested in showing the tickets processed against ticket volume over the past year. What type of chart should the manager use to effectively show the change in processing rate over time?

A.

A pie chart to compare the number of tickets coming in versus tickets being processed

each month, over the past year

B.

A column chart to compare the number of tickets coming in versus tickets being processed

each month, since June

C.

A line chart to show the widening gap between the number of tickets being processed

against the number coming over the past year

D.

A waterfall chart to show the number of tickets coming in are a lot higher than those being

processed as of year to date