The Central Limit Theorem states that the sampling distribution of a sample mean, y, is approximately normal for O a. random samples taken from populations not known to be Normal if the sample size is large enough O b. The Central Limit Theorem states that the sampling distribution of the sample mean can never be approximated by a Normal Model Oc. only random samples taken from populations that follow a Normal Model O d. small, biased samples taken from skewed populations resnonse

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.2: Arithmetic Sequences
Problem 68E
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Question 14
The Central Limit Theorem states that the sampling distribution of a sample mean, y, is approximately normal for
O a. random samples taken from populations not known to be Normal if the sample size is large enough
O b. The Central Limit Theorem states that the sampling distribution of the sample mean can never be approximated by a Normal Model
O c. only random samples taken from populations that follow a Normal Model
O d. small, biased samples taken from skewed populations
A Moving to another question will save this response.
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Transcribed Image Text:Question 14 The Central Limit Theorem states that the sampling distribution of a sample mean, y, is approximately normal for O a. random samples taken from populations not known to be Normal if the sample size is large enough O b. The Central Limit Theorem states that the sampling distribution of the sample mean can never be approximated by a Normal Model O c. only random samples taken from populations that follow a Normal Model O d. small, biased samples taken from skewed populations A Moving to another question will save this response. etv 20 F9 임□ F3 F5 esc F2 F4 F1 # $ & * @ 5 8. 2 3 Q W E R tab A S D F H caps lock
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