Monthly rent was determined for each apartment in a random sample of 100 apartments. The sample mean was $820 and the sample standard deviation was $25. An approximate 95 percent confidence interval...


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Monthly rent was determined for each apartment in a random sample of 100 apartments. The<br>sample mean was $820 and the sample standard deviation was $25. An approximate 95 percent<br>confidence interval for the true mean monthly rent for the population of apartments from which<br>this sample was selected is ($815, $825). Which of the following statements is a correct<br>interpretation of the 95 percent confidence level?<br>O In this sample, about 95% of the 100 rental prices are between $815 and $825.<br>O In repeated sampling, the method produces intervals that include the population mean approximately 95%<br>of the time.<br>There is a probability of 0.95 that the true mean is between $815 and $825.<br>O In repeated sampling, the method produces intervals that include the sample mean approximately 95% of<br>the time.<br>In this population, about 95% of all rental prices are between $815 and $825<br>

Extracted text: Monthly rent was determined for each apartment in a random sample of 100 apartments. The sample mean was $820 and the sample standard deviation was $25. An approximate 95 percent confidence interval for the true mean monthly rent for the population of apartments from which this sample was selected is ($815, $825). Which of the following statements is a correct interpretation of the 95 percent confidence level? O In this sample, about 95% of the 100 rental prices are between $815 and $825. O In repeated sampling, the method produces intervals that include the population mean approximately 95% of the time. There is a probability of 0.95 that the true mean is between $815 and $825. O In repeated sampling, the method produces intervals that include the sample mean approximately 95% of the time. In this population, about 95% of all rental prices are between $815 and $825

Jun 06, 2022
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