Best examples of examples of ANOVA lab report example templates for students

Examples of ANOVA lab report example write‑ups in different fields

When students search for examples of examples of ANOVA lab report example write‑ups, what they really want is: “Show me what this looks like for a study that feels like mine.” So let’s start with concrete, discipline‑specific scenarios and how the core pieces of the report typically read.

Psychology: Reaction time under three distraction conditions

Imagine a cognitive psychology lab comparing reaction times under three conditions: no distraction, soft background music, and loud pop music. Forty‑five college students complete a computerized reaction time task in all three conditions (within‑subjects design), with order counterbalanced.

In many examples of ANOVA lab report example documents, the Results section for this kind of study looks something like this:

A one‑way repeated‑measures ANOVA was conducted to compare mean reaction time across three distraction conditions (no distraction, soft music, loud music). Mauchly’s test indicated that the assumption of sphericity had been violated, χ²(2) = 9.87, p = .007; therefore, degrees of freedom were corrected using Greenhouse–Geisser estimates (ε = .78). The analysis showed a statistically significant effect of distraction condition on reaction time, F(1.56, 68.65) = 12.43, p < .001, partial η² = .22. Post‑hoc pairwise comparisons with Bonferroni adjustment indicated that reaction times in the loud music condition (M = 565 ms, SD = 62) were significantly slower than in the no‑distraction condition (M = 521 ms, SD = 55), p < .001, and the soft music condition (M = 534 ms, SD = 58), p = .018. The difference between no distraction and soft music was not statistically significant, p = .21.

This is one of the best examples of a clean, APA‑style paragraph: it names the test, reports assumption checks, gives the F statistic with degrees of freedom, p‑value, effect size, and clearly states which groups differ.

Biology: Plant growth under different fertilizer types

Another classic example of ANOVA lab report example material comes from introductory biology labs. Suppose you test three fertilizers (A, B, C) on tomato plants. Each fertilizer is applied to 15 plants, and plant height after 8 weeks is recorded.

A Results paragraph in many lab manuals might read:

A one‑way between‑subjects ANOVA examined the effect of fertilizer type on tomato plant height after 8 weeks. There was a statistically significant effect of fertilizer type on height, F(2, 42) = 6.97, p = .003, η² = .25. Plants treated with Fertilizer B (M = 52.4 cm, SD = 4.1) were taller than those treated with Fertilizer A (M = 46.3 cm, SD = 5.0), p = .004, and Fertilizer C (M = 47.1 cm, SD = 4.7), p = .011, according to Tukey’s HSD post‑hoc test. There was no significant difference between Fertilizer A and C, p = .87.

In the Discussion, strong examples include tying the stats back to prior research:

These findings align with recent extension reports from the USDA indicating that nitrogen‑rich formulations similar to Fertilizer B tend to produce greater vegetative growth in solanaceous crops (see USDA, 2023).

You can model your own lab report on this example of clear reporting and interpretation.

Education: Comparing three teaching methods

Education research in 2024–2025 has leaned heavily on evaluating online, hybrid, and in‑person teaching formats. A very current example of ANOVA lab report example scenario:

• Group 1: Fully in‑person instruction
• Group 2: Hybrid (2 days in person, 3 days online)
• Group 3: Fully online synchronous

Ninety high‑school students are randomly assigned to one of the three formats for a 6‑week algebra unit. The outcome is a standardized test score.

A strong Results section might say:

A one‑way ANOVA was run to compare algebra test performance across three instructional formats (in‑person, hybrid, online). There was a statistically significant difference in mean test scores, F(2, 87) = 4.32, p = .016, ω² = .07, indicating a small‑to‑medium effect of format. Tukey post‑hoc tests showed that students in the hybrid condition (M = 81.7, SD = 7.9) scored higher than those in the fully online condition (M = 75.3, SD = 8.5), p = .012. The in‑person group (M = 79.4, SD = 8.2) did not differ significantly from either hybrid, p = .41, or online, p = .19.

In the Discussion, good examples of interpretation will connect to current debates about post‑pandemic schooling and may cite sources such as the National Center for Education Statistics (NCES).

Health sciences: Comparing three exercise programs

Health and exercise science labs often use ANOVA to compare interventions. Consider an experiment where sedentary adults are assigned to:

• Moderate‑intensity walking program
• High‑intensity interval training (HIIT)
• Yoga‑based flexibility program

After 10 weeks, VO₂ max is measured. Many of the best examples of ANOVA lab report example texts follow this pattern:

A one‑way ANOVA was conducted to examine the effect of exercise program on VO₂ max after 10 weeks. The omnibus test was significant, F(2, 57) = 9.15, p < .001, partial η² = .24. Participants in the HIIT group (M = 35.6 mL/kg/min, SD = 4.2) showed higher VO₂ max than both the walking group (M = 31.2, SD = 3.8), p = .001, and the yoga group (M = 30.4, SD = 3.5), p < .001. The difference between walking and yoga was not significant, p = .53.

Here, strong examples include citing clinical guidelines from sources like the American College of Sports Medicine or summarizing how the observed effect compares with meta‑analyses reported by the NIH or Mayo Clinic (NIH, Mayo Clinic).

Structure: How the best examples of ANOVA lab report example are organized

When you examine multiple examples of examples of ANOVA lab report example write‑ups across disciplines, they almost always share the same backbone, even if the subject matter changes.

Introduction: From research question to hypothesis

In high‑quality reports, the Introduction typically:

• Opens with a brief context paragraph (e.g., “Online learning expanded dramatically after COVID‑19…”).
• Summarizes 2–4 relevant studies, usually from journals or government reports (for education, sites like IES are common).
• States a clear research question and directional or non‑directional hypotheses.

For instance, in the teaching‑methods example, a good hypothesis sentence might be:

We hypothesized that students in the hybrid condition would outperform those in fully online or fully in‑person conditions on a standardized algebra assessment.

This kind of sentence appears in many of the best examples of ANOVA lab report example templates because it directly signals what the ANOVA is testing.

Methods: Making your ANOVA reproducible

The Methods section in strong examples of ANOVA lab report example documents usually has four subsections: Participants, Design, Materials/Measures, and Procedure.

Key patterns you’ll see:

• Participants: Sample size, age range, recruitment, inclusion/exclusion criteria.
• Design: Whether the ANOVA is one‑way, two‑way, repeated‑measures, mixed; what the factors and levels are.
• Measures: Reliability info when available (e.g., Cronbach’s alpha for test scores).
• Procedure: Enough detail that someone could replicate the study.

For the reaction‑time study, a concise Design description might be:

The study used a within‑subjects design with distraction condition (no distraction, soft music, loud music) as the single factor. Reaction time (ms) was the dependent variable.

Results: Reporting ANOVA like a pro

If you scan multiple examples of examples of ANOVA lab report example assignments posted by universities, you’ll notice the same core pieces in the Results section:

• Statement of the ANOVA type and factors
• Assumption checks (normality, homogeneity of variance, sphericity when relevant)
• The omnibus F‑test
• Effect size (η², partial η², or ω²)
• Post‑hoc tests or planned contrasts

A generic template many instructors recommend:

A one‑way ANOVA was conducted to examine the effect of [factor] on [outcome]. The effect of [factor] was [not] statistically significant, F(df_between, df_within) = value, p = value, effect size measure. Post‑hoc comparisons using [method] indicated that [summary of group differences].

You can plug your own numbers into this pattern while still sounding original.

Discussion: From numbers to meaning

The Discussion sections in the best examples of ANOVA lab report example write‑ups do more than say “the hypothesis was supported.” They usually:

• Restate the main finding in plain language
• Compare with prior research
• Offer at least two limitations (sample size, generalizability, measurement issues)
• Suggest directions for future research

Using the exercise‑program example:

Overall, the findings suggest that high‑intensity interval training may produce larger short‑term gains in cardiorespiratory fitness than moderate walking or yoga in sedentary adults. This pattern is consistent with recent controlled trials summarized by the NIH, which report similar effect sizes for HIIT interventions in comparable populations. However, the sample in the present study was relatively small and limited to adults aged 25–45, so results may not extend to older adults or individuals with chronic health conditions.

More real examples of ANOVA lab report example scenarios

To give you a wider menu of ideas, here are several more real examples of how ANOVA shows up in student projects and published studies.

1. Public health: Comparing vaccination attitudes across age groups

Public health courses often analyze survey data on vaccine attitudes, especially after COVID‑19. An example of an ANOVA project:

• Factor: Age group (18–29, 30–49, 50+)
• Outcome: Vaccine acceptance score (0–10 scale)

The Results paragraph might resemble:

A one‑way ANOVA tested whether vaccine acceptance differed by age group. The effect of age group was significant, F(2, 297) = 5.48, p = .005, η² = .04. Post‑hoc comparisons (Tukey) indicated that adults aged 50+ (M = 8.2, SD = 1.7) reported higher vaccine acceptance than those aged 18–29 (M = 7.3, SD = 2.1), p = .004. The 30–49 group (M = 7.7, SD = 1.9) did not differ significantly from either age group (ps > .16).

Here, good examples include referencing data trends from sources like the CDC (CDC vaccination data) to situate your results.

2. Marketing/Business: Ad design and click‑through rate

In business analytics, students often run ANOVA on A/B/n tests:

• Factor: Ad design (static image, short video, animated GIF)
• Outcome: Click‑through rate (CTR) on a simulated campaign

A Results excerpt could be:

A one‑way ANOVA showed a significant effect of ad design on click‑through rate, F(2, 27) = 8.01, p = .002, partial η² = .37. Short video ads (M = 3.4%, SD = 0.7) produced higher CTR than static image ads (M = 2.1%, SD = 0.5), p = .001, and animated GIFs (M = 2.3%, SD = 0.6), p = .006. The difference between static and GIF formats was not significant, p = .62.

This is one of the best examples of ANOVA lab report example writing for applied business contexts because it translates statistical differences into clear marketing implications.

3. Environmental science: Water quality at multiple sites

Environmental labs frequently use ANOVA to compare pollution levels across locations:

• Factor: Site (upstream, midstream, downstream)
• Outcome: Nitrate concentration (mg/L)

A typical paragraph:

A one‑way ANOVA indicated a significant effect of sampling site on nitrate concentration, F(2, 33) = 10.27, p < .001, η² = .38. Downstream samples (M = 7.9 mg/L, SD = 1.1) had higher nitrate levels than both upstream (M = 5.1, SD = 0.9), p < .001, and midstream sites (M = 6.0, SD = 1.0), p = .018. The difference between upstream and midstream was not significant, p = .11.

In strong examples of Discussion sections, students connect these findings to regulatory standards (for instance, EPA guidelines available through .gov sites) and discuss potential sources of contamination.

4. Two‑way ANOVA: Interaction between factors

So far, most examples of examples of ANOVA lab report example text have focused on one‑way designs. By your second statistics course, you’ll likely see two‑way ANOVA.

Consider a nutrition study examining:

• Factor A: Diet type (low‑carb vs. low‑fat)
• Factor B: Exercise (yes vs. no)
• Outcome: Weight loss after 12 weeks

A Results section in a strong student report might say:

A 2 (diet: low‑carb, low‑fat) × 2 (exercise: yes, no) between‑subjects ANOVA was conducted on 12‑week weight loss. There was a significant main effect of diet, F(1, 76) = 5.89, p = .017, partial η² = .07, with greater weight loss in the low‑carb condition. There was also a significant main effect of exercise, F(1, 76) = 12.44, p = .001, partial η² = .14, with greater weight loss in the exercise groups. The diet × exercise interaction was not significant, F(1, 76) = 1.03, p = .31, indicating that the effect of diet did not differ by exercise condition.

Examples include interaction plots in the appendix, but the narrative still follows the same pattern: name the main effects and interaction, report F, p, and effect sizes, then interpret.

How to adapt these examples of ANOVA lab report example templates to your project

The goal of reviewing multiple examples of ANOVA lab report example texts is not to copy sentences, but to borrow structure and phrasing patterns.

Here’s how to use these best examples in a way that still sounds like you:

• Keep the logic: context → hypothesis → method → ANOVA results → interpretation.
• Rephrase the stock sentences in your own style. Instead of “A one‑way ANOVA was conducted to examine…,” you might write “We compared mean scores across the three groups using a one‑way ANOVA.”
• Match the technical depth to your course level. Intro classes keep things simple (F, p, maybe η²). Advanced classes expect assumption checks, corrections (like Greenhouse–Geisser), and confidence intervals.
• Anchor your Discussion in current data. For 2024–2025 topics (online learning, telehealth, vaccine attitudes, climate impacts), cite recent reports from .gov or .org sites to show you know the broader context.

If you’re ever unsure whether your write‑up looks right, compare it with at least two or three real examples from university statistics labs or methods courses. The more examples of examples of ANOVA lab report example documents you read, the easier it becomes to hear when your own draft is missing a piece.

FAQ about ANOVA lab report examples

How many groups do I need for an example of ANOVA lab report?
You need at least three groups or conditions to justify using one‑way ANOVA instead of multiple t‑tests. Many examples include exactly three because that keeps the design simple for teaching.

Can I use ANOVA if my sample size is small?
Yes, but you should mention this as a limitation. Good examples of ANOVA lab report example discussions often note that small samples reduce power and make normality assumptions harder to check.

Do I always need post‑hoc tests in ANOVA lab reports?
Only when the omnibus F‑test is significant and you have more than two groups. Many of the best examples of ANOVA lab report example write‑ups include Tukey or Bonferroni post‑hoc tests to identify which specific groups differ.

Where can I find more real examples of ANOVA lab report example write‑ups?
Look at methods or statistics course pages on .edu sites, open‑access journals, or government‑funded research reports. University psychology, biology, and education departments often post sample lab reports that show exactly how they expect ANOVA to be written up.

Can I mix ANOVA with other analyses in the same report?
Yes. Many advanced projects use ANOVA alongside regression or chi‑square tests. Just keep each analysis in its own clearly labeled subsection and follow the same reporting style you see in strong published examples.