Respuesta :
I believe that it deals with standard deviations you need to look at a graph of the standard deviation.
The [tex]95\%[/tex] confidence interval for the population mean is [tex]\left( {6.93,11.45}\right)[/tex] means that there are [tex]95\%[/tex] chances of the population mean lies in the interval.
Further Explanation:
Explanation:
The formula for confidence interval can be expressed as follows,
[tex]\boxed{{\text{Confidence interval}}=\left( {\overline X \pm ME} \right)}[/tex]
ME represents the Margin of Error.
The confidence interval has two limits.
(1). Upper Limit
(2). Lower Limit
The upper limit can be calculated as follows,
[tex]{\text{Upper limit}}=\left( {X + ME}\right)[/tex]
The lower limit can be calculated as follows,
[tex]{\text{Lower limit}} = \left( {X - ME}\right)[/tex]
The given confidence interval is [tex]\left( {6.93,11.45}\right).[/tex]
The upper limit of the confidence interval is 11.45.
The lower limit of the confidence interval is 6.93.
The 95\% confidence interval for the population mean is [tex]\left( {6.93,11.45}\right)[/tex] means that there are [tex]95\%[/tex] chances of the population mean lies in the interval.
Learn more:
1. Learn more about normal distribution https://brainly.com/question/12698949
2. Learn more about standard normal distribution https://brainly.com/question/13006989
3. Learn more about confidence interval of mean https://brainly.com/question/12986589
Answer details:
Grade: College
Subject: Statistics
Chapter: Confidence Interval
Keywords: Z-score, Z-value, confidence interval, confidence limit, 95 percent, standard normal distribution, standard deviation, test, measure, probability, low score, mean, repeating, indicated, normal distribution, percentile, percentage, undesirable behavior, proportion, empirical rule.
