You have used the best data available and framed the best and most focused questions you could. What must you keep in mind about using averages?

a. Variation is often hidden by averages, regardless of how good the dataset is.

b. averages will provide you with the most meaningful results

c. if you have a good dataset, you can draw conclusions from summary statistics

d. improbable outliers will be removed when you have a good dataset

What can you do when theee is a data fail?

a. There is nothing you can do when there is a data fail

b. A data fail only means you need to run the data again

c. you can use advanced statistics to get better results

d. you can use advanced statistics to massage the data.

Last year your company compiled employee satisfaction reasults using employee retention data. This year, they will use the scores from employees survey's. Which problem will you face when analyzing the data?

a. a central tendency issue

b. a data collection issue

c. a backward compatibility issue

d. a recency issue

When you are framing the questions you will use data analytics to answer, what is the key to how you frame your questions?

a. keep your questions focused and actionable

b. keep your question's actionable

c. keep your questions vague so more questions can be answered

d. keep your questions focused, regardless of actionability

Your company can only afford to use an existing dataset. Can you still draw viable conclusions from the dataset?

a. you will not be able to use existing dataset, you can only derive viable conclusions from data you collect yourself

b. you can draw viable conclusions from an existing dataset, provided you frame actionable and detailed question's

c. you will not be able to leverage existing data in any meaningful way that can lead to viable conclusions

d. you can draw viable conclusions from an existing dataset, provided you phrase broad questions