Question

Suppose we calculate a 95% confidence interval for the population mean to be (6.93, 11.45). how do we interpret this?

Answer 1

I believe that it deals with standard deviations you need to look at a graph of the standard deviation. 

Answer 2

The $95\%$ confidence interval for the population mean is $\left( {6.93,11.45}\right)$ means that there are $95\%$ chances of the population mean lies in the interval.

Further Explanation:

Explanation:

The formula for confidence interval can be expressed as follows,

$\boxed{{\text{Confidence interval}}=\left( {\overline X  \pm ME} \right)}$

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,

${\text{Upper limit}}=\left( {X + ME}\right)$

The lower limit can be calculated as follows,

${\text{Lower limit}} = \left( {X - ME}\right)$

The given confidence interval is $\left( {6.93,11.45}\right).$

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 $\left( {6.93,11.45}\right)$ means that there are $95\%$ 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.