A nutritionist believes that 10% of teenagers eat cereal for breakfast. To investigate this claim, she selects a random sample of 150 teenagers and finds that 25 eat cereal for breakfast. She would like to know if the data provide convincing evidence that the true proportion of teenagers who eat cereal for breakfast differs from 10%. Are the conditions for inference met? O Yes, the conditions for inference are met. O No, the 10% condition is not met. O No, the Large Counts Condition is not met. O No, the randomness condition is not met.
A nutritionist believes that 10% of teenagers eat cereal for breakfast. To investigate this claim, she selects a random sample of 150 teenagers and finds that 25 eat cereal for breakfast. She would like to know if the data provide convincing evidence that the true proportion of teenagers who eat cereal for breakfast differs from 10%. Are the conditions for inference met? O Yes, the conditions for inference are met. O No, the 10% condition is not met. O No, the Large Counts Condition is not met. O No, the randomness condition is not met.
Chapter9: Sequences, Probability And Counting Theory
Section9.7: Probability
Problem 4SE: What is the difference between events and outcomes? Give an example of both using the sample space...
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A nutritionist believes that 10% of teenagers eat cereal for breakfast. To investigate this claim, she selects a
random sample of 150 teenagers and finds that 25 eat cereal for breakfast. She would like to know if the data
provide convincing evidence that the true proportion of teenagers who eat cereal for breakfast differs from 10%.
Are the conditions for inference met?
O Yes, the conditions for inference are met.
O No, the 10% condition is not met.
O No, the Large Counts Condition is not met.
O No, the randomness condition is not met.
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