WGU D547 APN1-TASK 1: DATA ANALYSIS
CERTIFICATION SCRIPT 2026 QUESTIONS
WITH SOLUTIONS GRADED A+
◍ Central Limit Theorem.
Answer: the distribution of sample averages tends to be normal regardless of
the shape of the process distribution
◍ Kilobyte (KB).
Answer: 1000 bytes
◍ Storytelling with data.
Answer: Creating a narrative around data to make it more engaging and
understandable.
◍ SVM.
Answer: Support Vector Machine. Classification, supervised
◍ Wide data.
Answer: A data format that organizes data with one subject per row and
multiple observations in different columns.
◍ Sentiment.
Answer: Positive, neutral, negative, mixed
◍ mode.
Answer: most frequently occurring value
◍ Data formats.
Answer: How data is presented (e.g., spreadsheets, databases).
◍ Purpose of data visualization.
Answer: To present data in a graphical or pictorial format to make it easier
to understand.
,◍ Most popular items when hurricanes hit?.
Answer: beer, pop tarts, peanut butter
◍ Vignette.
Answer: A short story on how to use package
◍ IDE.
Answer: Integrated Development Environment
◍ Common statistical software package for data analysis.
Answer: SPSS.
◍ SQL basics.
Answer: SELECT, WHERE, DISTINCT, CAST, COALESCE, TRIM,
CONCAT, LENGTH functions, and their uses.
◍ Corpus.
Answer: body of documents
◍ Data governance.
Answer: Formal management of data assets.
◍ shiny.
Answer: web app generated from R
◍ y in a linear model.
Answer: dependent variable
◍ Data exploration.
Answer: The initial process of reviewing and understanding a dataset's
content and structure.
◍ Handling missing data.
Answer: A common method for handling missing data includes imputing
missing values based on other data points.
◍ information.
Answer: The results of collecting and organizing data in a way that
establishes associations between data items, which thereby provides context
, and meaning
◍ Privacy principles.
Answer: Freedom from inappropriate data use and the right to data access.
◍ Predictive Analysis.
Answer: Of likely scenarios of what might happen
◍ Purpose of collecting data.
Answer: To make informed decisions and gain insights.
◍ Mean.
Answer: average. central tendency
◍ Spreadsheet functions.
Answer: Sorting, filtering, freeze headers, etc.
◍ Grouping.
Answer: The process of organizing data into categories based on a specific
attribute.
◍ byte.
Answer: 8 bits
◍ two standard deviations.
Answer: 95%
◍ -1<r<1.
Answer: Correlation
◍ Best chart for showing the distribution of a single variable.
Answer: Histogram.
◍ Key element of effective data communication.
Answer: Tailoring the communication to the audience.
◍ Ordinal data.
Answer: Data type that represents categories with a defined order or scale.
◍ Personally Identifiable Information (PII).
CERTIFICATION SCRIPT 2026 QUESTIONS
WITH SOLUTIONS GRADED A+
◍ Central Limit Theorem.
Answer: the distribution of sample averages tends to be normal regardless of
the shape of the process distribution
◍ Kilobyte (KB).
Answer: 1000 bytes
◍ Storytelling with data.
Answer: Creating a narrative around data to make it more engaging and
understandable.
◍ SVM.
Answer: Support Vector Machine. Classification, supervised
◍ Wide data.
Answer: A data format that organizes data with one subject per row and
multiple observations in different columns.
◍ Sentiment.
Answer: Positive, neutral, negative, mixed
◍ mode.
Answer: most frequently occurring value
◍ Data formats.
Answer: How data is presented (e.g., spreadsheets, databases).
◍ Purpose of data visualization.
Answer: To present data in a graphical or pictorial format to make it easier
to understand.
,◍ Most popular items when hurricanes hit?.
Answer: beer, pop tarts, peanut butter
◍ Vignette.
Answer: A short story on how to use package
◍ IDE.
Answer: Integrated Development Environment
◍ Common statistical software package for data analysis.
Answer: SPSS.
◍ SQL basics.
Answer: SELECT, WHERE, DISTINCT, CAST, COALESCE, TRIM,
CONCAT, LENGTH functions, and their uses.
◍ Corpus.
Answer: body of documents
◍ Data governance.
Answer: Formal management of data assets.
◍ shiny.
Answer: web app generated from R
◍ y in a linear model.
Answer: dependent variable
◍ Data exploration.
Answer: The initial process of reviewing and understanding a dataset's
content and structure.
◍ Handling missing data.
Answer: A common method for handling missing data includes imputing
missing values based on other data points.
◍ information.
Answer: The results of collecting and organizing data in a way that
establishes associations between data items, which thereby provides context
, and meaning
◍ Privacy principles.
Answer: Freedom from inappropriate data use and the right to data access.
◍ Predictive Analysis.
Answer: Of likely scenarios of what might happen
◍ Purpose of collecting data.
Answer: To make informed decisions and gain insights.
◍ Mean.
Answer: average. central tendency
◍ Spreadsheet functions.
Answer: Sorting, filtering, freeze headers, etc.
◍ Grouping.
Answer: The process of organizing data into categories based on a specific
attribute.
◍ byte.
Answer: 8 bits
◍ two standard deviations.
Answer: 95%
◍ -1<r<1.
Answer: Correlation
◍ Best chart for showing the distribution of a single variable.
Answer: Histogram.
◍ Key element of effective data communication.
Answer: Tailoring the communication to the audience.
◍ Ordinal data.
Answer: Data type that represents categories with a defined order or scale.
◍ Personally Identifiable Information (PII).
