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All of the following are TRUE about t-distributions and z-distributions EXCEPT: The t- and z-distributions are very similar in value for very large sample sizes (like n > 1000) For the same sample size "n", the t-score will always be greater than the z-score. Inference for means always use a Z-distribution and proportions always use a t-distribution For small sample sizes, the t-distribution is much more wider than the - distribution.

          All of the following are TRUE about t-distributions and z-distributions EXCEPT:

The t- and z-distributions are very similar in value for very large sample sizes (like n > 1000)

For the same sample size "n", the t-score will always be greater than the z-score.

Inference for means always use a Z-distribution and proportions always use a t-distribution

For small sample sizes, the t-distribution is much more wider than the - distribution.

All of the following are TRUE about t-distributions and z-distributions EXCEPT:

The t- and z-distributions are very similar in value for very large sample sizes (like n > 1000)

For the same sample size "n", the t-score will always be greater than the z-score.

Inference for means always use a Z-distribution and proportions always use a t-distribution

For small sample sizes, the t-distribution is much more wider than the - distribution.

Added by Katherine G.

Elementary Statistics a Step by Step Approach

Allan G. Bluman 9th Edition

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Solved by Expert David Nguyen

05/19/2022

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All of the following are TRUE about t-distributions and z-distributions EXCEPT: The t- and z-distributions are very similar in value for very large sample sizes (like n > 1000) For the same sample size "n", the t-score will always be greater than the z-score. Inference for means always use a Z-distribution and proportions always use a t-distribution For small sample sizes, the t-distribution is much more wider than the - distribution.