By the Central Limit Theorem, the sampling distribution of (x, - x2) is A. approximately normal for large samples. B. approximately a t-distribution for large samples. C. approximately skewed for large samples. O D. approximately normal for small samples.
By the Central Limit Theorem, the sampling distribution of (x, - x2) is A. approximately normal for large samples. B. approximately a t-distribution for large samples. C. approximately skewed for large samples. O D. approximately normal for small samples.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.5: Comparing Sets Of Data
Problem 14PPS
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![By the Central Limit Theorem, the sampling distribution of (x, - x3) is
O A. approximately normal for large samples.
O B. approximately a t-distribution for large samples.
OC. approximately skewed for large samples.
O D. approximately normal for small samples.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F3b020251-69fd-4388-99a9-d8ad091dc49a%2F650720f3-a17f-4656-aa11-8a77fbfe8845%2Fphcqjw_processed.jpeg&w=3840&q=75)
Transcribed Image Text:By the Central Limit Theorem, the sampling distribution of (x, - x3) is
O A. approximately normal for large samples.
O B. approximately a t-distribution for large samples.
OC. approximately skewed for large samples.
O D. approximately normal for small samples.
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