Question

In: Statistics and Probability

The average length of stay in U.S. hospitals 4.5 days. The length of stay in days...

The average length of stay in U.S. hospitals 4.5 days. The length of stay in days of a random sample of patients at a local hospital was recorded.

3,6,3,7,8,9,4,6,5,5,7,3,3,5,8,5

A). Use this data to construct a 99% confidence interval. What are the upper and lower bounds?

B). Based on your confidence interval, is the length of stay at this local hospital significantly different from the national average at the 1% significance level?

Solutions

Expert Solution

The average length of stay in U.S. hospitals 4.5 days. The length of stay in days of a random sample of patients at a local hospital was recorded.

3,6,3,7,8,9,4,6,5,5,7,3,3,5,8,5

A). Use this data to construct a 99% confidence interval. What are the upper and lower bounds?

Confidence Interval Estimate for the Mean

Data

Sample Standard Deviation

1.9653

Sample Mean

5.4375

Sample Size

16

Confidence Level

99%

Intermediate Calculations

Standard Error of the Mean

0.4913

Degrees of Freedom

15

t Value

2.9467

Interval Half Width

1.4478

Confidence Interval

Interval Lower Limit

3.9897

Interval Upper Limit

6.8853

99% CI = ( 3.9897, 6.8853)

B). Based on your confidence interval, is the length of stay at this local hospital significantly different from the national average at the 1% significance level?

The 99% CI ( 3.9897, 6.8853) contains the value 4.5. Therefore, the length of stay at this local hospital not significantly different from the national average at the 1% significance level.


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