Prof. Gersch\'s brother, often wondering why Prof. Gersch goes through all the t

Question

Prof. Gersch's brother, often wondering why Prof. Gersch goes through all the trouble of" collecting random samples for his analysis, figures that it would be a lot easier to just stand in the lobby of Pace and ask the first fifty passers-by about their height. Prof. Gersch's brother collected a: Cluster Sample Convenience Sample Stratified Sample Snowball Sample Probability Sample Even for a well-collected sample, a good statistician should be aware of: the wording of questions in the study the wording of answers in the study non-response and missing data undercoverage of some part of the population biases that may be present in the research all of the above The Central Limit Theorem (CLT) states: that the distribution of mu becomes more normal as the sample size increases that the distribution of x becomes more normal as the sample size increases that the distribution of p becomes more normal as the sample size increases that the t distribution becomes a z distribution as the sample size increases that the t distribution becomes a z distribution as the degree of freedom increases

Explanation / Answer

1)

stratified sample

2)

all of the above

3)

distribution of xbar becomes more normal as the sample size increases

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