Scores on a particular test, taken by a large group of students, follow a normal distribution with a variance of 2500. A random sample of 25 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 - 30) to (x + 30) contains the true population mean? Click the icon to view the standard normal table of the cumulative distribution function. The probability that the interval (x- 30) to (x+ 30) contains the true population mean is (Type an integer or decimal rounded to four decimal places as needed.)

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Scores on a particular test, taken by a large group of students, follow a normal distribution with a variance of
2500. A random sample of 25 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 - 30) to (x + 30) contains the true
population mean?
Click the icon to view the standard normal table of the cumulative distribution function.
The probability that the interval (x- 30) to (x+ 30) contains the true population mean is
(Type an integer or decimal rounded to four decimal places as needed.)
Transcribed Image Text:Scores on a particular test, taken by a large group of students, follow a normal distribution with a variance of 2500. A random sample of 25 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 - 30) to (x + 30) contains the true population mean? Click the icon to view the standard normal table of the cumulative distribution function. The probability that the interval (x- 30) to (x+ 30) contains the true population mean is (Type an integer or decimal rounded to four decimal places as needed.)
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