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ARKANSAS DATA ANALYTICS SPECIALIST EXAM WITH QUESTIONS AND CORRECT ANSWERS AND RATIONALES LATEST UPDATE

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ARKANSAS DATA ANALYTICS SPECIALIST EXAM WITH QUESTIONS AND CORRECT ANSWERS AND RATIONALES LATEST UPDATE

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ARKANSAS DATA ANALYTICS SPECIALIST
EXAM WITH QUESTIONS AND CORRECT
ANSWERS AND RATIONALES LATEST 2026-2027
UPDATE
Questions 1–70

1. Which measure of central tendency is least affected by extreme
outliers?

A. Mean
B. Median
C. Variance
D. Standard deviation

Correct Answer: B. Median

Rationale: The median represents the middle observation and is
relatively resistant to extreme values, whereas the mean can be
substantially distorted by outliers.



2. What is the primary purpose of data cleaning?

A. Increase the size of a dataset
B. Remove or correct inaccurate, incomplete, or inconsistent data
C. Create charts automatically
D. Encrypt all data

Correct Answer: B. Remove or correct inaccurate, incomplete, or
inconsistent data

Rationale: Data cleaning improves data quality by identifying and
correcting errors, duplicates, missing values, inconsistent formats, and
other problems.

,3. Which SQL command is used to retrieve data from a database?

A. INSERT
B. UPDATE
C. SELECT
D. DELETE

Correct Answer: C. SELECT

Rationale: SELECT retrieves records from one or more database tables.



4. In statistics, what does a p-value help determine?

A. The size of a dataset
B. The probability of observing results at least as extreme as those
obtained, assuming the null hypothesis is true
C. The number of missing observations
D. The correlation coefficient

Correct Answer: B. The probability of observing results at least as
extreme as those obtained, assuming the null hypothesis is true

Rationale: A p-value provides evidence against the null hypothesis. A
sufficiently small p-value may lead researchers to reject the null
hypothesis.



5. Which visualization is generally most appropriate for showing a
trend over time?

A. Pie chart
B. Line chart

, C. Histogram
D. Box plot

Correct Answer: B. Line chart

Rationale: Line charts effectively display changes and trends across
sequential time periods.



6. What does normalization generally accomplish in a relational
database?

A. Increases duplicate information
B. Reduces unnecessary data redundancy
C. Deletes all historical data
D. Converts numerical data to text

Correct Answer: B. Reduces unnecessary data redundancy

Rationale: Database normalization organizes data into related tables to
minimize redundancy and improve data integrity.



7. Which Python library is commonly used for data manipulation
and analysis?

A. Pandas
B. Flask
C. Django
D. Requests

Correct Answer: A. Pandas

Rationale: Pandas provides DataFrame and Series structures and
numerous functions for cleaning, transforming, aggregating, and
analyzing data.

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