Construct a 95% confidence interval for μ₁ −μ₂ with the sample statistics for mean cholesterol content of a hamburger from two fast food chains and confidence interval construction formula below. Assume the populations are approximately normal with unequal variances. X₂ = 68 mg, S₂ = 2.07 mg, n₂ = 16 Stats Confidence interval when variances are not equal = 91 mg, s₁ = 3.73 mg. n₁ = 18 x₁ = (x₁ - x₂) - tc Enter the endpoints of the
Construct a 95% confidence interval for μ₁ −μ₂ with the sample statistics for mean cholesterol content of a hamburger from two fast food chains and confidence interval construction formula below. Assume the populations are approximately normal with unequal variances. X₂ = 68 mg, S₂ = 2.07 mg, n₂ = 16 Stats Confidence interval when variances are not equal = 91 mg, s₁ = 3.73 mg. n₁ = 18 x₁ = (x₁ - x₂) - tc Enter the endpoints of the
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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![Construct a 95% confidence interval for μ₁-₂ with the sample statistics for mean cholesterol content of a hamburger
from two fast food chains and confidence interval construction formula below Assume the populations are
approximately normal with unequal variances
x₂ = 68 mg, s₂ = 2.07 mg, n₂ = 16
Stats
Confidence
interval when
variances are not
equal
= 91 mg, s₁ = 3.73 mg. n₁ = 18
X₁ =
(x₁ - x₂) - ¹c
<µ₁ −µ₂ < (X₁ - X₂)
n₁
1₂
d.f. is the smaller of n. - 1 or n₂ - 1
Enter the endpoints of the interval.
<H₁ - H₂ < (Round to
nearest integer as needed.)
0₁
10₂](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F652e7b54-5ab5-451c-b590-e88a05f16edf%2Fd57f796d-bb77-46b2-9d86-94133a0aaa0f%2F2g42v4_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Construct a 95% confidence interval for μ₁-₂ with the sample statistics for mean cholesterol content of a hamburger
from two fast food chains and confidence interval construction formula below Assume the populations are
approximately normal with unequal variances
x₂ = 68 mg, s₂ = 2.07 mg, n₂ = 16
Stats
Confidence
interval when
variances are not
equal
= 91 mg, s₁ = 3.73 mg. n₁ = 18
X₁ =
(x₁ - x₂) - ¹c
<µ₁ −µ₂ < (X₁ - X₂)
n₁
1₂
d.f. is the smaller of n. - 1 or n₂ - 1
Enter the endpoints of the interval.
<H₁ - H₂ < (Round to
nearest integer as needed.)
0₁
10₂
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