Scores on a particular test, taken by a large group of students, follow a normal distribution with a variance of 3600. A random sample of 36 scores was taken to estimate the population's mean score....


Scores on a particular test, taken by a large group of students, follow a normal distribution with a<br>variance of 3600. A random sample of 36 scores was taken to estimate the population's mean<br>score. Let the random variable x denote the sample mean. What is the probability that the interval<br>(x- 24) to (x+ 24) contains the true population mean?<br>E Click the icon to view the standard normal table of the cumulative distribution function.<br>The probability that the interval (x- 24) to (x+24) contains the true population mean is<br>(Type an integer or decimal rounded to four decimal places as needed.)<br>

Extracted text: Scores on a particular test, taken by a large group of students, follow a normal distribution with a variance of 3600. A random sample of 36 scores was taken to estimate the population's mean score. Let the random variable x denote the sample mean. What is the probability that the interval (x- 24) to (x+ 24) contains the true population mean? E Click the icon to view the standard normal table of the cumulative distribution function. The probability that the interval (x- 24) to (x+24) contains the true population mean is (Type an integer or decimal rounded to four decimal places as needed.)

Jun 04, 2022
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