You have a random sample of people. You conduct a hypothesis test to see if your sample's proportion, which is 0.25, is significantly less than the hypothesized population proportion of 0.30. What does it mean to have a p-value of 0.20? Group of answer choices The probability that the null hypothesis is true, given our random sample, is 0.20. The probability that the alternative hypothesis is true, given our random sample, is 0.20. If the population has a proportion of 0.30, then there is a 0.20 probability that a random sample drawn from this population would have a sample proportion of 0.25 or less. If the population has a proportion less than 0.30, then there is a 0.20 probability that a random sample drawn from this population would have a proportion equal to 0.25.
You have a random sample of people. You conduct a hypothesis test to see if your sample's proportion, which is 0.25, is significantly less than the hypothesized population proportion of 0.30. What does it mean to have a p-value of 0.20?
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The probability that the alternative hypothesis is true, given our random sample, is 0.20.
If the population has a proportion of 0.30, then there is a 0.20 probability that a random sample drawn from this population would have a sample proportion of 0.25 or less.
If the population has a proportion less than 0.30, then there is a 0.20 probability that a random sample drawn from this population would have a proportion equal to 0.25.
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