A teacher claims that on any given day, 60% of her students complete their homework and 40% do not. To investigate this belief, she randomly selects 30 of her 120 students and determines how many of them completed their homework that day and how many did not. She would like to know if her findings provide convincing evidence that the distribution of homework completion status differs from her original belief. Are the conditions for inference met? No, the random condition is not met. No, the 10% condition is not met. No, the Large Counts condition is not met. Yes, all of the conditions for inference are met.
A teacher claims that on any given day, 60% of her students complete their homework and 40% do not. To investigate this belief, she randomly selects 30 of her 120 students and determines how many of them completed their homework that day and how many did not. She would like to know if her findings provide convincing evidence that the distribution of homework completion status differs from her original belief. Are the conditions for inference met? No, the random condition is not met. No, the 10% condition is not met. No, the Large Counts condition is not met. Yes, all of the conditions for inference are met.
Chapter8: Sequences, Series,and Probability
Section8.7: Probability
Problem 50E: Flexible Work Hours In a recent survey, people were asked whether they would prefer to work flexible...
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A teacher claims that on any given day, 60% of her students complete their homework and 40% do not. To investigate this belief, she randomly selects 30 of her 120 students and determines how many of them completed their homework that day and how many did not. She would like to know if her findings provide convincing evidence that the distribution of homework completion status differs from her original belief. Are the conditions for inference met? No, the random condition is not met. No, the 10% condition is not met. No, the Large Counts condition is not met. Yes, all of the conditions for inference are met.
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