# Chapter 1. Conditions for Inference about a Mean

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### Question 1.1

0hX+MtznKtXYefmBqxmLpUHvu4bTfJ8vnEbWYKOrbeDWvz8PFgHB2Wp8d77h5Df+Cp1l2MfBVHvcFZfYDsnOvyFV4bPyxUR2MVkigMqMtNZatT2gn4YqPqinjFbI4limGmC3a+j2fh7Lecp2w1AjFLcoQQ/gZ6Apc6XXK1zO625qWePlYrkI/z8qrdVx4eCfuMGSAI89dTtQ1NSmy54zuv6SV1St6Ts2KHwUEiVroA80W+xVx6UciAWZbLWXQ280OXn6f96yqTUeaPeZjx9ISpwTZcX0T0sXiA/VfNV6VCxB2WuqrAYS6KjLA8c=
Incorrect. In theory, the data should be collected with an SRS, but in practice, this condition is met if the data can be considered to be an SRS.
Correct. In theory, the data should be collected with an SRS, but in practice, this condition is met if the data can be considered to be an SRS.
Incorrect. Try again.
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### Question 1.2

Incorrect. The name for $$\frac{s}{ \sqrt{n} }$$ is standard error of the mean or standard error of .
Correct. The name for $$\frac{s}{ \sqrt{n} }$$ is standard error of the mean or standard error of .
Incorrect. $$\frac{s}{ \sqrt{n} }$$ estimates $$\frac{ \sigma }{ \sqrt{n} }$$ which is the standard deviation of the sampling distribution of .
Correct. $$\frac{s}{ \sqrt{n} }$$ estimates $$\frac{ \sigma }{ \sqrt{n} }$$ which is the standard deviation of the sampling distribution of .