Question

, Samples In 30) drawn from a uniform distribution la Minitab was used to generate the samples. es 300, b 500) Variables 15 Observations Variable TypeFormValues Missing Sample 1 Quantitative Sample 2 Quantitative Numeric Sample 3 Quantitative Numeric Sample 4 Quantitative Sample 5 ive Sample 6 Quantitative Sample 7 Quantitative Observations Sample 8 Quantitative Numeric Sample 9 Quantitative Sample 10 Quantitative Sample 11 Quantitative Sample 12 Quantitative Sample 13 Quantitative Sample 14 Quantitative Sample 15 Quantitative Numeric Numeric Variable Numeric Suppose the building inspector happens to select sample 10. The sample data for sample 10 a re stored in the variable Sample 10. Use the sample mean x as an estimator of the population mean μ. The estimate of μ is 30 Now suppose that instead of sample 10, the inspector had drawn sample 11. Then the estimate of u wou Selecting a random sample is an example of a statistical experiment, and the sample statistic R is a numerical description of the result of the d be R is a random variable. The probability distribution of is called the sampling distribution of R In practice, you select one statisti sample statistic from each running of the experiment is recorded. The distribution of the sample statistics from the repeated sampling is an approximation of the sample statistic's sampling distribution random sample and use the information from that sample to estimate the population parameter of interest. However, ure called repeated sampling, in which the experiment is run over and over again and the value of the Repeated sampling is used to develop an approximate sampling distribution for R when n 30. Suppose 1,000 simple random samples each of 500. The sample means for the 1,000 samples are located in the Means ond to the first 15 sample means in the Means data set.) 0) are drawn from a uniform population with a 300 and b data set in the variable Sample Mean. (The 15 samples in the Samples data set corresp 曰 Sample Sample Sample Mean Variables 1 Observations 1000 423.813 423,957 424.190 Variables 426.747 426.773 428.030 Variable Correlation Correlation 429.660 429.673 The mean of the population is approximation of the sampling distribution of the mean of the (exact) sampling distribution of X is and the mean of the Note: The mean of a uniformly distributed random variable is (a + b)/2.) is

Answer 1