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90% confidence interval and the population for standard deviation. The sample size is 15.

(1 point) What type of sample will fail to capture the true parameter? - Decrease \"# of Simulations\" to 100. The intervals that don't contain the true mean are indicated in real. You can hover over a sample mean (dot in center of interval) to see it's value and the interval's margin of error. o Is there a common feature from the intervals that do not contain the true mean? 0 Where are their sample means Twith respect to the sample means of the intervals that do contain the parameter? 0 Consider the placement of the sample mean in the sampling distribution. Select Confidence Interval Select Standard Deviation Select Parameters # of Simulations Sample Size 90% Population 2 15 1000 100 155 537 1000Plots Summary Distribution of Sample Means # that capture the true mean 84 Out of 100 20 Proportion 84 9 15 10 5 470 480 490 500 510 520 530 540 Confidence Interval: 90 % using Z-Procedure True Mean = 499.698 460 470 480 490 500 510 520 530 540