Richard W.
asked 05/31/14how can I determine if there is a significant difference in 3 groups of 2 varibles?
3 different intensive care units
2 Answers By Expert Tutors
To determine if there is a difference in the rate of use of the intervention among these ICUs, we can calculate the intervention rate for each ICU and compare them. The intervention rate is the number of patients who received the intervention divided by the total number of patients in the ICU.
Let's calculate the intervention rate for each ICU:
ICU 1:
Total patients: 437
Patients who received intervention: 59
Intervention rate: 59 / 437 ≈ 0.1350 (13.50%)
ICU 2:
Total patients: 222
Patients who received intervention: 77
Intervention rate: 77 / 222 ≈ 0.3468 (34.68%)
ICU 3:
Total patients: 762
Patients who received intervention: 91
Intervention rate: 91 / 762 ≈ 0.1194 (11.94%)
Now that we have the intervention rates for each ICU, we can compare them:
ICU 1: 13.50%
ICU 2: 34.68%
ICU 3: 11.94%
There is a noticeable difference in the rate of use of the intervention among these ICUs. ICU 2 has the highest intervention rate at 34.68%, while ICU 1 and ICU 3 have lower intervention rates at 13.50% and 11.94%, respectively.
To determine if this difference is statistically significant, you would need to perform a statistical test, such as the Chi-square test or Fisher's exact test. These tests would help you determine if the observed differences in intervention rates are due to chance or if there is a significant difference in the rate of use of the intervention among these ICUs.

Melissa D. answered 07/17/15
Award-winning Nurse Educator
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Inyang N.
03/10/15