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Conditions Writing Templates: Everything in italics is what you would write for each condition.
- Remember, the first two conditions are the same regardless of which sampling distribution you are using.
- Random Sample:
- If randomization is stated: Our sample of ___(define the sample in context)___ was collected at random.
- If randomization is not stated: We can assume or sample of _______ is a representative sample. OR We can assume our sample of was collected randomly.
- 10% Condition:
- Our sample of __(define the sample in context)__ is (likely) less than 10% of ____(define population in context)____.
- The third condition differs, depending on which sampling distribution you are using.
- Sampling Distribution for Proportions: Success Failure Condition
- np>10 and nq > 10 (for this one, simply substitute in the appropriate numbers and multiply)
- Sampling Distribution for Means: Large Enough Sample Condition
- Our sample of _____ is large enough. (there is no set number, but anything around a size of at least 25 is "large enough)
- If we know the population is approximately Normal (unimodal and symmetric), our sample size does not matter:
- The population is approximately Normal so our sample size is large enough.
Use your notes to help! Remember to check your conditions, find the standard deviation for the sampling distribution, and from there, it's all back to what we know about the Normal model.
Enjoy your weekend! Rest up, have some fun outside tomorrow, and do your homework! See you all Monday (hopefully)!
