In the current chapter covering statistical inferences on means, all of the procedures we have discussed (sampling distributions, confidence intervals and statistical tests) have involved two assumptions. What are those two assumptions?  In the current chapter covering statistical inferences on means, all of the procedures we have discussed (sampling distributions, confidence intervals and statistical tests) have involved two assumptions. What are those two assumptions?     Simple random sample and normally distributed population or Central Limit Theorem is valid     Simple random sample and both nπ and n(1-π) greater than or equal to 10      Simple random sample and normally distributed population     Simple random sample      Simple random sample or Central Limit Theorem is valid

MATLAB: An Introduction with Applications
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In the current chapter covering statistical inferences on means, all of the procedures we have discussed (sampling distributions, confidence intervals and statistical tests) have involved two assumptions. What are those two assumptions?

 In the current chapter covering statistical inferences on means, all of the procedures we have discussed (sampling distributions, confidence intervals and statistical tests) have involved two assumptions. What are those two assumptions?

    Simple random sample and normally distributed population or Central Limit Theorem is valid

    Simple random sample and both nπ and n(1-π) greater than or equal to 10

     Simple random sample and normally distributed population

    Simple random sample

     Simple random sample or Central Limit Theorem is valid

 

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