At Community Hospital, the burn center is experimenting with a new plasma compress treatment. A random sample of n, = 336 patients with minor burns received the plasma compress treatment. Of these patients, it was found that 254 had no visible scars after treatment. Another random sample of n, = 400 patients with minor burns received no plasma compress treatment. For this group, it was found that 103 had no visible scars after treatment. Let p, be the population proportion of all patients with minor burns receiving the plasma compress treatment who have no visible scars. Let p, be the population proportion of all patients with minor burns not receiving the plasma compress treatment who have no visible scars. (a) Find a 90% confidence interval for p1 - P2- (Round your answers to three decimal places.) lower limit upper limit

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 2AGP
icon
Related questions
Question

How would u solve this

At Community Hospital, the burn center is experimenting with a new plasma compress treatment. A random sample of n, = 336 patients with minor
burns received the plasma compress treatment. Of these patients, it was found that 254 had no visible scars after treatment. Another random sample of
n, = 400 patients with minor burns received no plasma compress treatment. For this group, it was found that 103 had no visible scars after treatment.
Let p, be the population proportion of all patients with minor burns receiving the plasma compress treatment who have no visible scars. Let p, be the
population proportion of all patients with minor burns not receiving the plasma compress treatment who have no visible scars.
(a) Find a 90% confidence interval for p1 - P2. (Round your answers to three decimal places.)
lower limit
upper limit
Transcribed Image Text:At Community Hospital, the burn center is experimenting with a new plasma compress treatment. A random sample of n, = 336 patients with minor burns received the plasma compress treatment. Of these patients, it was found that 254 had no visible scars after treatment. Another random sample of n, = 400 patients with minor burns received no plasma compress treatment. For this group, it was found that 103 had no visible scars after treatment. Let p, be the population proportion of all patients with minor burns receiving the plasma compress treatment who have no visible scars. Let p, be the population proportion of all patients with minor burns not receiving the plasma compress treatment who have no visible scars. (a) Find a 90% confidence interval for p1 - P2. (Round your answers to three decimal places.) lower limit upper limit
Expert Solution
Step 1

Statistics homework question answer, step 1, image 1

trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps with 3 images

Blurred answer
Knowledge Booster
Linear Equations
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Recommended textbooks for you
Glencoe Algebra 1, Student Edition, 9780079039897…
Glencoe Algebra 1, Student Edition, 9780079039897…
Algebra
ISBN:
9780079039897
Author:
Carter
Publisher:
McGraw Hill
Holt Mcdougal Larson Pre-algebra: Student Edition…
Holt Mcdougal Larson Pre-algebra: Student Edition…
Algebra
ISBN:
9780547587776
Author:
HOLT MCDOUGAL
Publisher:
HOLT MCDOUGAL
College Algebra (MindTap Course List)
College Algebra (MindTap Course List)
Algebra
ISBN:
9781305652231
Author:
R. David Gustafson, Jeff Hughes
Publisher:
Cengage Learning
Big Ideas Math A Bridge To Success Algebra 1: Stu…
Big Ideas Math A Bridge To Success Algebra 1: Stu…
Algebra
ISBN:
9781680331141
Author:
HOUGHTON MIFFLIN HARCOURT
Publisher:
Houghton Mifflin Harcourt
College Algebra
College Algebra
Algebra
ISBN:
9781938168383
Author:
Jay Abramson
Publisher:
OpenStax