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newSchoolWorks.com › VoTechWorks › Agriculture, Environment & Public Service › Aquaculture & Marine Science Tech › Capstone Project: Integrated Aquaculture & Marine Science Field Study › Lesson 3
AGR-AQUA50-07 · Lesson 3 · 60 clock hours · practice

Data Analysis, Report Writing, and Portfolio Assembly

Objective. Students analyze their collected data using appropriate descriptive statistics and graphing, write a complete technical report following the program style guide, and assemble a final project portfolio containing all documentation produced from proposal through fieldwork.

⚠ Pending professional review

This lesson, its worked examples and its practice questions has not yet been verified by a licensed professional in the field or by a certification or approval body. It is a study draft and may contain errors. Do not use it as instructions for work on a job site or on live equipment. Always follow your instructor, your supervising professional, and current official references and regulations.

VoTechWorks program approval and accreditation are still in progress. Credentials are issued only by the certifying bodies named in each program, after their own exams.

Why This Lesson Matters

You have spent weeks designing your project, collecting field data, and maintaining your logbook. This final phase turns raw numbers into professional knowledge that employers, agencies, and dive contractors can actually use. A strong technical report and a complete portfolio are also the evidence that proves your competency for both PADI and ADCI credential evaluations. Accuracy, completeness, and professional presentation are not optional—they are the product.

Step 1: Entering and Checking Your Data

Before you calculate anything, transfer all raw field data from your signed data sheets into a spreadsheet exactly as recorded. Do not round at this stage. Create one row per observation and label every column with the variable name and unit (for example, "DO mg/L" or "Temp °C"). Save the original import as a protected sheet so you always have an untouched record.

Once data are entered, visually scan for outliers or obvious entry errors—a dissolved-oxygen reading of 450 mg/L, for instance, is a transcription mistake, not a discovery. Compare questionable values against your calibration logs and logbook notes before deciding whether to flag or exclude them. Any exclusion must be documented and explained in your methods section.

Step 2: Descriptive Statistics

For most aquaculture and marine science field projects, three statistics carry the analysis:

Simple trend analysis—drawing a best-fit line on a scatter plot or noting whether values went up, down, or stayed stable across sampling dates—is appropriate when you have at least four or five time points. You are not expected to perform inferential statistics unless your instructor specifically requires it.

Step 3: Producing Publication-Quality Figures

Every figure must earn its place by directly answering one of your project objectives. Two figures are the minimum; more are acceptable if they add meaning. Requirements for every figure:

1. Both axes labeled with the variable name and unit in parentheses.

2. A figure number and a complete caption below the figure that explains what is shown and the key take-away.

3. Consistent font size, clean gridlines, and no unnecessary decorative elements (no 3-D bar charts, no background color fills).

4. Source data identified (your data, your dates, your site).

Submit your draft figure set to your instructor for review before you begin writing. Feedback at this stage prevents you from building your written results section around a figure that misrepresents your data.

Step 4: Writing the Technical Report—Section by Section

Follow the program style guide and work through sections in this order, submitting each as a draft and incorporating instructor comments before moving on:

Step 5: Assembling the Portfolio

Your portfolio is a professional record of the entire project lifecycle. Organize items in this order with a table of contents:

1. Approved project proposal

2. All signed field data sheets

3. Calibration logs for every instrument used

4. Logbook (photocopied or printed pages covering all project dates)

5. Draft figures (both early and final versions)

6. PPE and safety documentation

7. Any dive records (ADCI-format dive logs, if applicable)

8. Final technical report

9. Self-audit checklist, signed and dated

10. Any supplementary material (permits, correspondence, photos)

Conduct your self-audit against the portfolio checklist before submission. Missing even one of the ten required document categories results in a portfolio that does not pass—just as a commercial dive operation cannot legally proceed with incomplete safety records.

Safety Documentation Note

Safety records are not bureaucratic paperwork—they are evidence that hazards were controlled. Your portfolio must include completed PPE sign-off sheets for any confined-space, boat-based, or in-water work. Dive records must show depth, bottom time, gas supply, and the name of your dive supervisor. If lockout/tagout procedures were applied during equipment maintenance at a facility, the completed LOTO log belongs here too. Incomplete safety documentation is a professional and legal liability, and it will prevent portfolio approval.

Scoring and Revision

Your technical report is graded on a 100-point rubric. A score of 75 or higher is required to pass. If you score below 75, you have one week to revise and resubmit. The portfolio is pass/fail: all ten document categories must be present. Build the portfolio incrementally throughout the project so nothing is missing at the end.

Key terms9

Descriptive statisticsNumerical summaries—such as mean, range, and percent change—that describe the basic features of a data set without making inferences about a broader population.
MeanThe arithmetic average of a data set, calculated by summing all values and dividing by the number of observations.
RangeThe difference between the maximum and minimum values in a data set, used to express how much a measured parameter varied.
Percent changeA calculation showing how much a value increased or decreased relative to its starting point: ((final − initial) / initial) × 100.
Figure captionA brief description placed below a graph or image that identifies what is shown, the data source, and the key finding; required on every publication-quality figure.
Calibration logA written record documenting when field instruments were calibrated, what standards were used, and the results, providing traceability and data integrity.
Technical reportA structured professional document presenting the objective, methods, results, and conclusions of a scientific or engineering project in a standardized format.
Portfolio self-auditA systematic review conducted by the student against a published checklist to verify that all required documents are present and complete before final submission.
Trend analysisAn examination of data collected over time to determine whether a measured variable is increasing, decreasing, or remaining stable across sampling periods.

Worked examples4

1. You measured dissolved oxygen (DO) at your study site on five sampling dates: 7.2, 6.8, 7.5, 6.5, and 7.0 mg/L. Calculate the mean and range.
  1. Sum all values: 7.2 + 6.8 + 7.5 + 6.5 + 7.0 = 35.0 mg/L
  2. Count the observations: n = 5
  3. Calculate the mean: 35.0 ÷ 5 = 7.0 mg/L
  4. Identify the maximum value: 7.5 mg/L
  5. Identify the minimum value: 6.5 mg/L
  6. Calculate the range: 7.5 − 6.5 = 1.0 mg/L
Answer: Mean DO = 7.0 mg/L; Range = 1.0 mg/L
2. At the start of your hatchery grow-out trial, average juvenile tilapia weight was 4.2 g. At the end of the 6-week trial, average weight was 18.9 g. Calculate the percent change in body weight.
  1. Identify initial value: 4.2 g
  2. Identify final value: 18.9 g
  3. Calculate the difference (final − initial): 18.9 − 4.2 = 14.7 g
  4. Divide the difference by the initial value: 14.7 ÷ 4.2 = 3.5
  5. Multiply by 100 to express as a percentage: 3.5 × 100 = 350%
Answer: Percent change in body weight = 350% (an increase of 350% from initial weight)
3. Your reef transect data show fish counts of 12, 15, 11, 18, and 14 individuals per 50 m² plot across five plots. Calculate the mean count and range, then state what you would report in the Results section.
  1. Sum all counts: 12 + 15 + 11 + 18 + 14 = 70 individuals
  2. Count the plots: n = 5
  3. Calculate the mean: 70 ÷ 5 = 14.0 individuals per 50 m²
  4. Identify maximum: 18; identify minimum: 11
  5. Calculate range: 18 − 11 = 7 individuals per 50 m²
  6. Draft Results statement: 'Mean fish density across the five transect plots was 14.0 individuals per 50 m² (range: 11–18 individuals per 50 m²).'
Answer: Mean = 14.0 individuals/50 m²; Range = 7 individuals/50 m². The Results section reports these values in a complete sentence without interpretation.
4. Your water temperature data over four weeks are: Week 1 = 22°C, Week 2 = 23°C, Week 3 = 24°C, Week 4 = 25°C. Calculate percent change from Week 1 to Week 4 and describe the trend.
  1. Identify initial value (Week 1): 22°C
  2. Identify final value (Week 4): 25°C
  3. Calculate difference: 25 − 22 = 3°C
  4. Divide by initial value: 3 ÷ 22 = 0.1364
  5. Multiply by 100: 0.1364 × 100 ≈ 13.6%
  6. Describe trend: Temperature increased by 1°C each week—a consistent upward linear trend over the four-week monitoring period.
Answer: Percent change = approximately 13.6% increase. Trend: steady linear increase of 1°C per week from Week 1 to Week 4.

The math in this lesson1

Learners compute mean and range of five DO readings and percent change in growth for the report.
S-ID.2
Brush up in the math halls at newSchoolWorks.com:
In class: Students enter all raw field data into a spreadsheet (Microsoft Excel or Google Sheets), calculate descriptive statistics (mean, range, and where appropriate, percent change or simple trend analysis), and produce at least two publication-quality figures (labeled axes, units, captions) that directly answer their project objectives; the instructor reviews a draft figure set before students proceed to writing. · Students write each section of the technical report in sequence—abstract, introduction, methods, results, discussion, conclusions, references—using the program style guide and an industry report checklist; each section is submitted as a draft, returned with instructor comments within 48 hours, and revised before the next section is begun, ensuring iterative improvement rather than a single last-minute submission. · Students organize their complete project portfolio in a professional binder or digital folder with a table of contents, including: approved proposal, all signed field data sheets, calibration logs, logbook (photocopied or printed), figure drafts, PPE and safety documentation, any dive records, and the final technical report; they conduct a self-audit against the portfolio checklist and certify completeness before submission.
Materials: Laptop with spreadsheet software and word processor, program style guide, industry technical report checklist, portfolio assembly checklist, graph paper as backup, scientific calculator, reference materials from courses 2–6 (water quality standards, hatchery SOP references, reef transect protocol guides), APA or industry citation guide as specified by program
Check: Technical report is scored on a 100-point rubric: completeness of all required sections (30 pts), accuracy and clarity of data presentation (25 pts), logical discussion tied to results (20 pts), correct citations and professional formatting (15 pts), grammar and clarity (10 pts). Passing score is 75/100. Portfolio completeness is assessed as pass/fail against the checklist—all 10 required document categories must be present to pass. Students below 75 on the report have one opportunity to revise within one week.

Practice check8

Answer each question, then check it. Nothing is recorded; this is your own practice.

Data collection and field measurement
1. A student's five salinity readings are 32, 33, 31, 34, and 30 ppt. What is the mean salinity?
Data analysis and reporting
2. Which statistic best expresses how much dissolved oxygen varied across a set of samples—in other words, the spread from lowest to highest recorded value?
Data analysis and reporting
3. A juvenile shrimp cohort had a mean weight of 0.5 g at stocking and 2.5 g at harvest. What is the percent change in mean weight?
Technical report writing
4. In a technical report, where should the interpretation of results and comparison to published standards appear?
Professional documentation and portfolio management
5. A student's portfolio is missing the calibration logs for their dissolved-oxygen meter. Under the program's portfolio assessment rules, what is the result?
Data presentation and technical communication
6. Which element is required on every publication-quality figure produced for an aquaculture field study report?
Commercial diving safety and documentation
7. Why must dive records be included in the capstone project portfolio for students who conducted in-water fieldwork?
Technical report writing
8. A student submits a technical report and scores 68 out of 100. What is the correct next step under the program's assessment rules?
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