CompTIA Data+ Certification - (DA0-001) Practice Questions

OBJ 3.1 - The mean is the average of a set of numbers. Frequency is the number of times that a data point occurs in a data set. The median is the middle number within a group of sorted numbers. The mode is the number that shows up the highest amount of times in the data set.

OBJ 1.2 - Age and Personal best 5K time are both examples of continuous data because they can both be measured and take any value. An age can be measured in years, months, days, etc. and A 5K time can be measured in hours, minutes, seconds, etc. The number of pets and times someone has traveled on a train are both discrete values.

OBJ 2.3 - This is an example of appending data sets. Appending combines data from separate data sets. Transposing data reverses its direction, so columns become rows and rows become columns. Indexing creates a unique ID for a record to not disclose its value. Hiding the value of a field to protect sensitive data is known as masking.

OBJ 3.2, 3.3 - A causal relationship proves that a variable has an effect on another variable. Correlation is the statistical association between two or more equal variables. Correlation does not tell an analyst that a variable influences another, but it does indicate that if one variable changes, the other variable changes as well. Pearson’s correlation coefficient is a calculation used to measure a linear relationship between data points and returns an r value that is plus or minus 1 to determine the strength of the relationship. An r value that is close to 1 indicates a strong correlation between values and a value of or close to 0 means indicates that there is no correlation.

OBJ 3.1 - The mean is the average of a set of numbers. Frequency is the number of times that a data point occurs in a data set. The median is the middle number within a group of sorted numbers. The mode is the number that shows up the highest amount of times in the data set.

OBJ 4.5 - A dynamic report, also known as a real-time report, is connected to the data and can be refreshed on-demand or regularly updated automatically. A point-in-time report reflects on a specific point in time and can cover a day, week, month, year, or more. The timing is flexible and based on the needs of the analysis. A self-service report, also known as an on-demand report, is one that is run directly by the consumer. When consumers can leverage dashboards, or run their own reports from the systems the organization has purchased, they are doing self-service. A static report is a report that does not update automatically.