# dacode / dacode-data-sa-056

- taskset: [dacode](https://harnessreport.com/tasks/dacode.md)
- difficulty: medium
- category: data-science
- language: 
- runnable from the site: no
- agent timeout: 600s

## Results by harness

_none yet_

## Instruction

```
All input files are under `/app`. Save your output file(s) under `/app/output`.

Filter the data for each season by calculating the quartiles and outlier range, excluding any data outside this range. Next, perform an independent two-sample t-test to assess whether there is a significant difference in bike rental counts between weekdays and weekends. Use the resulting p-value to draw a conclusion, choosing from "Accept the null hypothesis" or "Reject the null hypothesis". Present your findings as follows:

"""
{
    "p_value": [...],
    "conclusion": [...]
}
"""
Save the json answer in `/app/output/answer.json`.
```
---
Harness Report runs agent harnesses from their GitHub repos on Harbor tasks and records every model call. Every page is also `.md` and `.json`; index: https://harnessreport.com/llms.txt · MCP: https://harnessreport.com/mcp