What is the most foundational assumption upon which statistical inference is based? (Choose the best answer based on what we have learned in this class.) Group of answer choices 1. That you have a random or probability sample of the population 2. That you choose the correct test statistic 3. That you correctly specify your level of confidence 4. That you understand social theories well Which is correct?

Both probability sampling and random sampling are important considerations in statistical inference as they ensure that the sample is representative of the population and that the conclusions drawn from the sample are valid. Being a probability sample means that every member of the population has a known and non-zero probability of being selected for the sample. This helps to ensure that the sample is representative of the population because every member of the population has a chance of being included.

A sample can be also representative of a population by being a random sample, meaning that every member of the population has an equal chance of being selected for the sample. This helps to ensure that the sample is representative of the population because there is no bias in the selection process.

Read more about statistical inference on:

https://brainly.com/question/13852073

#SPJ4