**Question:**For the distribution of sample means to be normally shaped, it must be derived from samples of at least \( n = 30 \) scores.- ☐ True- ☐ False**Explanation:**This question relates to the Central Limit Theorem (CLT), which states that the distribution of the sample means will approach a normal distribution as the sample size increases, typically \( n \geq 30 \). This assumption is used in various statistical analyses to justify the use of parametric tests.

We have given that the distribution of the sample means to be normally shaped, it may be derived…

Answered: For the distribution of sample means to…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Suppose you want to estimate the mean bowling score for all participants in a large bowling league. The stemplot summarizes the distribution of bowling scores for a random sample of 18 bowlers in the league. 2410 24 668 25 001124 25 55688 26 01 26 5 Key: 26 | 5 = A bowler that scored 265. Is the Normal/Large Sample condition met? Explain. Yes! Although the sample size is small, the graph of the sample data shows no strong skewness or outliers. No, the sample size is small and the graph of the sample data is strongly skewed to the right with at least one high outlier. No, the sample size is small, n = 18 < 30. There is not enough information provided to determine if the Normal/Large Sample condition is met. Yes, the data come from a normally distributed population.
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For the distribution of sample means to be normally shaped, it must be derived from samples of at least n 30 scores. O True O False