The lengths of text messages are normally distributed with an unknown population mean. A random sample of text messages is taken and results in a 95% confidence interval of (23,47) characters. What is the correct interpretation of the 95% confidence interval? Select the correct answer below: We estimate that 95% of text messages have lengths between 23 and 47 characters. We estimate with 95% confidence that the true population mean is between 23 and 47 characters. We estimate with 95% confidence that the sample mean is between 23 and 47 characters.
The lengths of text messages are
What is the correct interpretation of the 95% confidence interval?
Select the correct answer below:
We estimate that 95% of text messages have lengths between 23 and 47 characters.
We estimate with 95% confidence that the true population mean is between 23 and 47 characters.
We estimate with 95% confidence that the sample mean is between 23 and 47 characters.
we have 95% confidence interval of (23,47) characters when The lengths of text messages are normally distributed .
we know that 95 % confidence interval gives the 95 % confidence that the true population mean lies in between the upper and lower boundary .
for the above example upper boundary is 47 and lower boundary is 23 .
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