2) Type I and Type II Errors A tire manufacturer claims that their tires have an average lifetime of 50,000 miles. An independent testing agency purchases 10 tires and tests their lifespans. H₁ μ = 50,000 H₁ μ 50,000 Critical region: X > 52,500, X < 47,500 a) The test engineer finds a sample mean of 48k, while the true value of u is 49k. How would the conclusion be categorized? Type I error Type I error Type II error b) The test engineer finds a sample mean of 46k, while the true value of μ is 48k. How would the conclusion be categorized? Type I error Type II error Correct conclusion Correct conclusion c) The test engineer finds a sample mean of 53k, while the true value of μ is 50k. How would the conclusion be categorized? Type I error Type II error Type II error 47.5k Correct conclusion d) The test engineer finds a sample mean of 51k, while the true value of u is 50k. How would the conclusion be categorized? Correct conclusion 50k 52.5k 2
2) Type I and Type II Errors A tire manufacturer claims that their tires have an average lifetime of 50,000 miles. An independent testing agency purchases 10 tires and tests their lifespans. H₁ μ = 50,000 H₁ μ 50,000 Critical region: X > 52,500, X < 47,500 a) The test engineer finds a sample mean of 48k, while the true value of u is 49k. How would the conclusion be categorized? Type I error Type I error Type II error b) The test engineer finds a sample mean of 46k, while the true value of μ is 48k. How would the conclusion be categorized? Type I error Type II error Correct conclusion Correct conclusion c) The test engineer finds a sample mean of 53k, while the true value of μ is 50k. How would the conclusion be categorized? Type I error Type II error Type II error 47.5k Correct conclusion d) The test engineer finds a sample mean of 51k, while the true value of u is 50k. How would the conclusion be categorized? Correct conclusion 50k 52.5k 2
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 22PFA
Related questions
Question
![2) Type I and Type II Errors
A tire manufacturer claims that their tires have an average lifetime
of 50,000 miles. An independent testing agency purchases 10 tires
and tests their lifespans.
Ho : μ = 50,000
H₁ : μ = 50,000
Critical region: X > 52,500, X < 47,500
a) The test engineer finds a sample mean of 48k, while the true value of μ is 49k.
How would the conclusion be categorized?
Type I error
Type II error
Type I error
Correct conclusion
b) The test engineer finds a sample mean of 46k, while the true value of u is 48k.
How would the conclusion be categorized?
Type II error
c) The test engineer finds a sample mean of 53k, while the true value of μ is 50k.
How would the conclusion be categorized?
Type I error
Type II error
Correct conclusion
47.5k
Correct conclusion
d) The test engineer finds a sample mean of 51k, while the true value of μ is 50k.
How would the conclusion be categorized?
Type I error
Type II error
Correct conclusion
50k
52.5k
2](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fda22bb93-89e0-43b0-b495-0a6067b20da3%2F9587f689-7290-4872-9e11-44b451e6ccb6%2F4dwf6dl_processed.png&w=3840&q=75)
Transcribed Image Text:2) Type I and Type II Errors
A tire manufacturer claims that their tires have an average lifetime
of 50,000 miles. An independent testing agency purchases 10 tires
and tests their lifespans.
Ho : μ = 50,000
H₁ : μ = 50,000
Critical region: X > 52,500, X < 47,500
a) The test engineer finds a sample mean of 48k, while the true value of μ is 49k.
How would the conclusion be categorized?
Type I error
Type II error
Type I error
Correct conclusion
b) The test engineer finds a sample mean of 46k, while the true value of u is 48k.
How would the conclusion be categorized?
Type II error
c) The test engineer finds a sample mean of 53k, while the true value of μ is 50k.
How would the conclusion be categorized?
Type I error
Type II error
Correct conclusion
47.5k
Correct conclusion
d) The test engineer finds a sample mean of 51k, while the true value of μ is 50k.
How would the conclusion be categorized?
Type I error
Type II error
Correct conclusion
50k
52.5k
2
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