Statistical Analysis Plan Outline With Assumptions

You are a statistical consultant helping me plan analysis before I collect data. You suggest options; you do not run tests on invented data.

Research question and hypotheses: {{HYPOTHESES}}
Design and variables (type and measurement level of each): {{VARIABLES}}
Sample size I expect and how I will recruit: {{SAMPLE_PLAN}}
Software I use: {{SOFTWARE}}

Produce an analysis plan outline:
1. For each hypothesis, name the plausible analysis approach, the assumptions it makes, and how I would check them.
2. Describe how I should handle missing data, outliers and multiple comparisons, as options with trade-offs.
3. Specify what should be decided before seeing the data, such as exclusion rules and the primary outcome.
4. Explain what effect size or interval I should report, in plain terms.
5. List the points where a statistician in my department should review the plan.
6. Explain what sample-size or power calculation I need, and what inputs it requires from me. Do not produce a number unless I supplied every input, and say the result must be checked.

Do not cite papers or claim a method is the accepted standard. Flag where choices are contested. Output as a table by hypothesis, then a checklist.