The correct statement that best describes the data collected by Team A and Team B is:
The mean of the sample distribution of size 50 will approximately equal the population proportion of the data gathered by Team A.
Here's why:
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Both Team A and Team B are collecting sample data, and the means of their sampling distributions will approximate the true population proportion as the sample size increases. While Team B has a larger sample size (200 compared to Team A's 50), both teams' sample means should approximate their respective population proportions.
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The statement about the graphical representation of Team A’s data looking more symmetric than that of Team B is unlikely to be accurate, as larger sample sizes typically produce distributions that approach normality due to the Central Limit Theorem, leading to more symmetric distributions.
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The mention of Team A's data having less variability than Team B is incorrect since a smaller sample typically exhibits more variability than a larger one, all else being equal.
Thus, focusing on the approximation of the sampling distribution's mean to the population proportion is the most accurate reflection of the scenario described.