Statistics

Statistics prompt templates.

20
templates

Statistics · 20 shown · 20 total

87

Campus Safety (Clery Act) Compliance Mapper

Audits Annual Security Reports (ASR) for Clery Act regulatory alignment and disclosure gaps.

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85

Counterfactual Impact Evaluation (CIE) Designer

Designs a methodology to measure what would have happened without the intervention.

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85

Raw Material Safety Stock Calculator

Determines optimal safety stock levels using demand variance and lead time uncertainty.

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83

de-bias a group-elicited impact matrix

Detect and correct for cognitive biases (anchoring, halo effect, overconfidence) in subjective expert estimates.

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82

Inventory Accuracy & Cycle Count Strategy

Establishes a statistically sound cycle counting program to replace annual physical counts.

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82

Statistical Process Control (SPC) Out-of-Control Action Plan (OCAP)

Technical decision tree for operators when control charts signal a process shift.

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80

Clinical Trial Statistical Analysis Plan (SAP) Skeleton

Outlines the primary and secondary statistical methods, populations for analysis, and handling of missing data.

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80

Meta-Analysis Data Extraction Formatter

Standardizes raw study results into a uniform format suitable for meta-analysis or systematic review.

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78

Journal Club Critical Appraisal Summary

Provides a standardized critical appraisal of a medical research paper for peer-review discussion.

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72

Screen test assumptions before computing any inference

Check that the chosen test matches the data's measurement scale and dependence structure before any p-value is generated.

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72

Statistical Result Interrogation

Interrogate a statistical result for power, confounding and overclaiming.

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70

Plan multiple-comparison control for an exploratory analysis

Pre-commit to a correction procedure so a wide exploratory sweep does not produce a selective significance narrative.

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70

Reframe a non-significant result using effect size and power

Convert an 'no effect found' conclusion into a statement about what effect sizes remain compatible with the data.

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70

State the conditions attached to a reported p-value

Make the full conditioning set behind a p-value explicit so readers cannot silently extrapolate it.

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68

Compare results across studies without comparing p-values

Assess agreement between studies by estimating the difference in effects rather than by sorting p-values around a threshold.

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66

Audit p-value claims in a results write-up

Catch and rewrite p-value statements that assert hypothesis probabilities, proof, or absence of effect.

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66

Correct confidence interval reasoning in a report

Replace probability-of-containment and overlap-based reasoning with compatibility and width-based reasoning.

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23

Choose a causal identification strategy for a non-experimental question

Match an available data structure to the identification strategy that removes the specific selection problem present.

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23

Segment Contrast And Contingency Analysis Plan

Compare an outcome across segments using grouped statistics, contingency tables and derived binary features before any modelling.

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21

Decompose an observed correlation into effect plus selection

Attribute an eye-catching metric correlation between a genuine effect and self-selection before anyone builds a roadmap on it.

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