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2.2.4.Weekly challenge 2
LATEST SUBMISSION GRADE 100%
Which of the following statements describes an algorithm?
- A technique for focusing on a single topic or a few closely related ideas
- A method for recognizing the current problem or situation and identifying the options
- A process or set of rules to be followed for a specific task
- A tool that enables data analysts to spot something unusual
Correct. A process or set of rules to be followed for a specific task describes an algorithm.
In data analytics, quantitative data measures qualities and characteristics.
- True
- False
Correct. In data analytics, quantitative data is specific and measures numerical facts.
In data analytics, reports use data that doesn’t change once it’s been recorded. Which of the following terms describes this type of data?
- Monitored
- Comprehensive
- Real-time
- Static
Correct. Static data is data that doesn’t change once it’s been recorded.
Which data-summarization tool do data analysts use to sort, reorganize, group, count, total, or average data?
- A report
- A function
- A pivot table
- A dashboard
Correct. To sort, reorganize, group, count, total or average data, data analysts use a pivot table.
A metric is a single, quantifiable type of data that can be used for what task?
- Setting and evaluating goals
- Defining a problem type
- Sorting and filtering data
- Cleaning data
Correct. A metric is a single, quantifiable type of data used when setting and evaluating goals.
Fill in the blank: A _____ goal is measurable and evaluated using single, quantifiable data.
- benchmark
- conceptual
- metric
- finite
Correct. A metric goal is measurable and evaluated using single, quantifiable data.
Fill in the blank: Return on investment compares the cost of an investment to the _____ of that investment.
- timing
- future success
- net profit
- purpose
Correct. Return on investment compares the cost of an investment to the net profit gained from that investment.
A data analyst is using data from a short time period to solve a problem related to someone’s day-to-day decisions. They are most likely working with small data.
- True
- False
Correct. A data analyst using data from a short time period to solve a problem related to someone’s day-to-day decisions is most likely working with small data.
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