Bayes Manager vs Bayesian P
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
Bayes Manager
This app assists managers and policymakers in calculating the likelihood of a claim or hypothesis being true. It uses Bayes' Rule and available evidence to provide probability estimates.
- Estimate claim probability
- Apply Bayes' Rule
- Utilize available evidence
- Support for managers and policymakers
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The Bayes Manager app helps managers, leaders, and policymakers to estimate the probability of a claim, assumption, or hypothesis being true by applying Bayes’ Rule to the available evidence.
Bayesian P
This app helps interpret p-values from clinical trials by incorporating prior probabilities and Bayesian inference. It provides realistic interpretations of reported p-values, aiding in understanding the likelihood of experimental outcomes.
- Interpret p-values with prior probabilities
- Bayesian inference for scientific expectations
- Calculate probability of clinical trial outcomes
- Realistic interpretation of reported p-values
- Explanations and examples of Bayesian concepts
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Calculate probability of outcomes of clinical trials, by interpreting reported p-values in the context of scientific expectations, using prior probabilities of outcomes and Bayesian thinking. · p-values are frequently misused and misinterpreted ( see American Statistical Association statement on p-values) · Bayesian inference aids interpretation of p-values with reference to prior knowledge of the probability of the experimental outcome · P-value Interpreter permits realistic interpretation of reported p-values from user entered pre-trial probabilities of clinical trial outcomes and p-values for single and sequential trials · "Learn more" buttons lead to explanations of prior probabilities, p-values and Bayesian probabilities employed in calculating the direct probability of the trial outcomes (e.g. null hypothesis being false), illustrated with examples
Screenshots
Verdict
The clearest difference is iOS requirement: Bayes Manager at 9.0 against Bayesian P's 18.4. On price, rating, ratings volume and ads there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
Both are free to download. Neither carries in-app purchases, so what you see is what you pay.
On the App Store both sit at effectively the same score — 5.0 for Bayes Manager against 5.0 for Bayesian P. Both are backed by a comparable volume of ratings — 3 and 3 respectively.
| Parameter | Bayes Manager | Bayesian P |
|---|---|---|
| Price | Free | Free |
| Rating | 5.0 (3 ratings) | 5.0 (3 ratings) |
| Positive reviews | — | 100.0% of reviews |
| Number of ratings | 3 | 3 |
| Update frequency | — | Monthly |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Free | Free |
| Devices | iPhone, iPod — better | iPhone |
| Requires iOS | 9.0 — better | 18.4 |
| Further details — not scored | ||
| Size | 14 MB | 7 MB |
| Age rating | 4+ | 4+ |
| Developer | Center for Evidence-Based Management | Samuel Kaplan |
Customer experience
Bayes Manager
Bayesian P
In-app purchases
Bayes Manager
No in-app purchases
Bayesian P
No in-app purchases
Questions
Is Bayes Manager free?
Is Bayesian P free?
Which has better reviews, Bayes Manager or Bayesian P?
Do Bayes Manager or Bayesian P have ads?
Other comparisons
