Question: the sampling distribution of the sample mean Repeated sampling is used to develop an approximate sampling distribution for & when n = 30. Suppose 1,000

the sampling distribution of the sample mean

the sampling distribution of the sample mean Repeated sampling is used to

Repeated sampling is used to develop an approximate sampling distribution for & when n = 30. Suppose 1,000 simple random samples (each of size n = 30) are drawn from a uniform population with a - 220 and b = 260. The sample means for the 1,000 samples are located in the Means data set in the variable Sample Mean. (The 15 samples in the Samples data set correspond to the first 15 sample means in the Means data set.) Data Set Means Sample Variables = 1 Observations = 1000 Variables 1,000 samples (n = 30) drawn from a uniform distribution (a = 220, b = 260) Minitab was used to generate the samples. Observations A Observations Variable V Type V Form V Values Missing V Sample Mean Quantitative Numeric 1000 O Variable Correlation Correlation The mean of the population is , the mean of the (exact) sampling distribution of & is , and the mean of the approximation of the sampling distribution of & is the standard deviation of the (exact) sampling distribution of & is . and The standard deviation of the population is the standard deviation of the approximation of the sampling distribution of & is

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