A random sample is drawn from a population with mean = 52 and standard deviation = 4.3. [You may find it useful to refer

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A random sample is drawn from a population with mean = 52 and standard deviation = 4.3. [You may find it useful to refer

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A Random Sample Is Drawn From A Population With Mean 52 And Standard Deviation 4 3 You May Find It Useful To Refer 1
A Random Sample Is Drawn From A Population With Mean 52 And Standard Deviation 4 3 You May Find It Useful To Refer 1 (48.96 KiB) Viewed 84 times
A random sample is drawn from a population with mean = 52 and standard deviation = 4.3. [You may find it useful to reference the z table.] a. Is the sampling distribution of the sample mean with n=13 and n=39 normally distributed? (Round the standard error to 3 decimal places.) n 13 39 Expected Value 52 52 Standard Error Probability 1.193 0.689 b. Can you conclude that the sampling distribution of the sample mean is normally distributed for both sample sizes? OYes, both the sample means will have a normal distribution. O No, both the sample means will not have a normal distribution. O No, only the sample mean with n=13 will have a normal distribution, No, only the sample mean with n 39 will have a normal distribution. c. If the sampling distribution of the sample mean is normally distributed with n-13, then calculate the probability that the sample mean falls between 52 and 54. (If appropriate, round final answer to 4 decimal places.) We cannot assume that the sampling distribution of the sample mean is normally distributed. We can assume that the sampling distribution of the sample mean is normally distributed and the probability that the sample mean falls between 52 and 54 is
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