riginal Problem: NASA is conducting an experiment to find out the fraction of people who black out at G forces greater than 6. In an earlier study, the population proportion was estimated to be 0.35. How large a sample would be required in order to estimate the fraction of people who black out at 6 or more Gs at the 90% confidence level with an error of at most 0.04? Round your answer up to the next integer. (a) In the Original Problem, if I change confidence level to 95% instead of 90%, keeping all other factors the same, the final answer to the Original Problem increases or decreases? (b) In the Original Problem, if I change error level to 0.02 instead of 0.04, keeping all other factors the same, the final answer to the Original Problem increases or decreases? (c) In the Original Problem, if I change the number 0.35 to 0.5, keeping all other factors the same, the final answer to the Original Problem increases or decreases?
Original Problem: NASA is conducting an experiment to find out the fraction of people who black out at G forces greater than 6. In an earlier study, the population proportion was estimated to be 0.35. How large a sample would be required in order to estimate the fraction of people who black out at 6 or more Gs at the 90% confidence level with an error of at most 0.04? Round your answer up to the next integer.
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(a) In the Original Problem, if I change confidence level to 95% instead of 90%, keeping all other factors the same, the final answer to the Original Problem increases or decreases?
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(b) In the Original Problem, if I change error level to 0.02 instead of 0.04, keeping all other factors the same, the final answer to the Original Problem increases or decreases?
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(c) In the Original Problem, if I change the number 0.35 to 0.5, keeping all other factors the same, the final answer to the Original Problem increases or decreases?
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