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  • Exam Code: A00-910
  • Exam Name: Statistical Thinking for Industrial Problem Solving
  • No. of Questions: 0 Questions and Answers
  • Updated: Oct 20, 2026

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SASInstitute A00-910 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Quality Methods20%- Use Statistical Process Control Charts
  • 1. Process monitoring
  • 2. Control charts
- Conduct Measurement System Studies
  • 1. Measurement system analysis
  • 2. Gage studies
- Assess process capability
  • 1. Variation assessment
  • 2. Capability analysis
Topic 2: Decision Making with Data15%- Define and describe statistical intervals
  • 1. Confidence intervals
  • 2. Prediction intervals
- Determine sample size
  • 1. Power analysis
  • 2. Sample size planning
- Perform statistical tests
  • 1. Hypothesis testing
  • 2. P-values and statistical significance
Topic 3: Exploratory Data Analysis20%- Prepare data for analysis
  • 1. Handling missing data and outliers
  • 2. Grouping and binning data
  • 3. Data quality assessment
  • 4. Derived variables and recoding
- Describe data using descriptive statistics and graphical summaries
  • 1. Summary statistics
  • 2. Box plots
  • 3. Histograms
  • 4. Run charts
  • 5. Pareto plots
  • 6. Probability distributions and normality
  • 7. Population vs sample
- Save and share results
  • 1. Create and customize graphics
  • 2. Reproducibility and work organization
- Visualize and explore data
  • 1. Geographic maps
  • 2. Bar charts
  • 3. Heat maps
  • 4. Scatterplots
  • 5. Variability charts
  • 6. Trellis plots
  • 7. Data storytelling and communication
Topic 4: Statistical Thinking and Problem Solving10%- Define statistical thinking and problem solving
  • 1. Problem definition and structured problem solving
  • 2. Key Performance Indicators (KPIs) and baselines
  • 3. Benefits and principles of statistical thinking
- Root cause identification and data collection
  • 1. Brainstorming and affinity diagrams
  • 2. Sampling strategies and data sources
  • 3. Operational definitions
  • 4. Data collection planning
  • 5. Cause-and-effect diagrams
- Process mapping and SIPOC
  • 1. SIPOC models
  • 2. Process maps
Topic 5: Correlation and Regression20%- Define and use correlation
  • 1. Scatterplot interpretation
  • 2. Correlation coefficients
- Simple linear regression
  • 1. Model fitting and interpretation
- Logistic regression
  • 1. Classification modeling
- Multiple linear regression
  • 1. Multiple predictor models
Topic 6: Design of Experiments10%- Analyze experimental results
  • 1. Interpret experiment outcomes
- Define DOE and compare it to OFAT
  • 1. Experimental design fundamentals
- Best practices for experiments
  • 1. Replication
  • 2. Randomization
  • 3. Blocking
- Design a simple experiment
  • 1. Factor and response selection
Topic 7: Predictive Modeling and Text Mining5%- Text mining fundamentals
  • 1. Extracting insights from text data
- Predictive modeling concepts
  • 1. Model validation
  • 2. Explanatory vs predictive modeling

Everything You Wanted to Ask About the A00-910 Exam

SASInstitute Statistical Thinking for Industrial Problem Solving is an official SAS Institute exam, catalogued under the code A00-910. A pass awards you the SASInstitute Certification certification at the Associate level. It also supports progress toward JMP Certified Associate. Demand for this credential has stayed strong because it validates skills employers can use from day one.

No formal prerequisite exam required. Knowledge of basic statistics and data analysis is recommended.

Vendor policies shift over time, so confirm the current entry conditions before paying any registration fee; the official exam page is the authoritative source.

Yes. A free demo of the SASInstitute Statistical Thinking for Industrial Problem Solving material is available on this page, so you can verify the quality of the questions and the expert-edited answers yourself. Once you purchase, updates are free for 365 days and the newest version is emailed to you automatically as it releases; after expiry, extending the update service costs 50% of the regular price.

A 100% money-back guarantee covers your purchase under defined conditions. If you take the SASInstitute Statistical Thinking for Industrial Problem Solving exam within 60 days of buying and fail, you can claim a full refund, provided the exam matches your product. Attempts within 3 days of purchase are ineligible, as are downloaded-but-unused products, free materials, and expired orders, and the candidate name must match the payer name. Submit a scanned enrollment slip and the official Score Report PDF within 2 days of the exam; claims are processed within 7 days. Alternatively, you may exchange rather than refund: two other exam products of equal value, free, with the update service on your original purchase kept intact.

Delivery is instant: files unlock for download upon successful payment and are automatically emailed to you within one minute. If nothing arrives within 2 hours, check spam and contact us by email or online service. Installation is unlimited across your computers.

SASInstitute Statistical Thinking for Industrial Problem Solving spans 7 official domains. The most heavily weighted include Predictive Modeling and Text Mining (5%), Quality Methods (20%), and Statistical Thinking and Problem Solving (10%). The full topic list is published above on this page; let the weightings decide where your next study hour goes.

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