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MY NOTES Many people believe that they experience information overload' in today's digital world. A report describes a survey in which people were asked

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MY NOTES Many people believe that they experience "information overload' in today's digital world. A report describes a survey in which people were asked if they feel overloaded by information. Suppose in a representative sample of 634 college graduates, 101 indicated that they suffered from information overload, while 118 people in an independent representative sample of 496 people who had never attended college said that they suffered from information overload. USE SALT (a) Construct a 95% large-sample confidence interval for the proportion of college graduates who experience information overload. (Hint: This is a one-sample confidence interval. Enter your answer using interval notation. Round your numerical values to four decimal places.) Interpret the interval. There is a 95% chance that the true proportion of college graduates who experience information overload falls directly in the middle of this interval. We are 95% confident that the true difference in the proportion of college graduates who experience information overload and this proportion for people who have never attended college falls within this interval. There is a 95% chance that the true difference in the proportion of college graduates who experience information overload and this proportion for people who have never attended college falls directly in the middle of this interval. We are 95% confident that the true proportion of college graduates who experience information overload falls within this interval. We are 95% confident that the true proportion of people who have never attended college who experience information overload falls within this interval. (b) Construct a 95% large-sample confidence interval for the proportion of people who have never attended college who experience information overload. (Enter your answer using interval notation. Round your numerical values to four decimal places.) Interpret the interval. There is a 95% chance that the true proportion of college graduates who experience information overload falls directly in the middle of this interval. We are 95% confident that the true difference in the proportion of college graduates who experience information overload and this proportion for people who have never attended college falls within this interval. There is a 95% chance that the true difference in the proportion of college graduates who experience information overload and this proportion for people who have never attended college falls directly in the middle of this interval. We are 95% confident that the true proportion of college graduates who experience information overload falls within this interval.

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