KIN6005 Statistical Analysis Studio

Credits & citation

Created by Jacob Goodin, PhD, Goodin Performance, for KIN6005 statistical analysis education.

Software implementation was assisted by OpenAI Codex. Visualizations use D3; the interface uses React. Example datasets are synthetic unless you upload your own data.

Cite this studio

Goodin, J. (2026). KIN6005 statistical analysis studio [Computer software]. Goodin Performance. https://stats.plnusportscience.com/

Suggested in-text citation: (Goodin, 2026). Add your access date when your assignment requires it. Describe the specific analysis and its assumptions in your methods section.

Methods and reporting

The question-mark buttons, assumptions sections, and APA reporting guides explain the methods and limits of each analysis.

APA reporting guide

Use the results as parts of a report. Explain the study design, variables, units, missing data, and assumptions. Include effect estimates and confidence intervals where available. Do not invent an interval that this tool does not estimate.

Contingency tables. Report counts, χ²(df, N), p, and Cramér’s V. Identify sparse cells and the exact Fisher convention when used.

Risks and odds. Identify the event, reference group, and any zero-cell correction. Report risk difference, risk ratio, or odds ratio with its CI and interval method.

Logistic regression. State the event coding, predictors, N and event count. Report b, SE, Wald z/p, OR and CI, likelihood-ratio test with df, and convergence. Training-data calibration does not establish external validity.

Report exact p values to three decimals, or p < .001. Omit leading zeros for probabilities and correlations. Use italics for Latin statistical symbols; keep Greek symbols upright. Precision should suit the measurement scale.

APA numbers and statistics guide · APA reporting standards

Observed counts and association

Source: Simulated teaching data (draw 941). This analysis uses 160 of 160 rows; Excluded rows: 0 (unselected groups or missing/invalid selected values).

Inspect input rows

First 12 rows (before exclusions)

First 12 rows (before exclusions)
groupevent
Control0
Control0
Control0
Control1
Control0
Control1
Control0
Control0
Control0
Control0
Control0
Control1

χ²(1, N = 160) = 9.14, p = .002.

Observed counts

Observed counts
Group10Total
Control265480
Intervention453580
Pearson chi-square
9.14
Chi-square p value
.002
Cramér’s V
.24
Fisher exact p value
.004
Inspect expected counts under independence

Expected counts

Expected counts
Group10
Control35.5044.50
Intervention35.5044.50

Group A is Control; group B is Intervention. The event is “1”. Effects compare B with A. Risk and odds estimates use the observed counts.

95% intervals for event risks and effects

95% intervals for event risks and effects
QuantityEstimateLowerUpper
Risk: Control0.330.230.43
Risk: Intervention0.560.450.67
Risk difference (B − A)0.240.080.38
Risk ratio (B / A)1.731.202.51
Odds ratio (B / A)2.671.405.08

Risk intervals use Wilson’s method; the difference uses Newcombe’s method. Ratio intervals use an approximate log-normal method. A zero cell may make a ratio unavailable. An odds ratio is not a risk ratio.

Event probability by group, with confidence intervals0.20.30.40.50.60.71.01.21.41.61.82.0ControlIntervention1.00, 0.332.00, 0.561 = Control; 2 = InterventionEvent probability

Horizontal: 1 = Control; 2 = Intervention. Vertical: Event probability.

Event probability by group, with confidence intervals
  • Control
  • Intervention
Export APA PNG

The export uses your selected graph colors and Arial, with 10-point graph labels and an 11-point caption at 6.5 inches wide (300 dpi). Check variable units, title case, and the note before downloading. Custom captions persist until you reset them.

Transparent exports keep dark text and are intended for light backgrounds. Grayscale removes color from the entire figure, including the legend. Check group labels and line styles.

Turn this off if you will add the caption in your manuscript. Match your manuscript’s figure numbering and caption font. A figure does not replace a complete statistical report.

Try this: Reverse the event category. Which probabilities and ratios change?

Explain what happens

Each event probability becomes its complement. The odds ratio becomes its reciprocal. The independence tests remain the same because relabeling does not change the association.

Assumptions and method

Observations must be independent, categories mutually exclusive, and counts actual observations. These calculations do not handle paired binary data, clustered observations, survey weights, or time-to-event data.

Read the method reference