A researcher wants to estimate the true proportion of Americans who suffer side-effects after taking a particular medication. A 99% confidence interval for the true proportion of Americans who suffer side-effects after taking the particular medication was found to be (0.024, 0.160). If a hypothesis test is conducted with the hypotheses, Ho: p = 0.10 vs Ha: p ≠≠ 0.10 , what would be the most likely conclusion? a. There is very strong evidence that p ≠0.10. b. There is strong evidence that p ≠ 0.10. c. There is little to no evidence that p ≠ 0.10. d. Cannot tell
A researcher wants to estimate the true proportion of Americans who suffer side-effects after taking a particular medication. A 99% confidence interval for the true proportion of Americans who suffer side-effects after taking the particular medication was found to be (0.024, 0.160). If a hypothesis test is conducted with the hypotheses, Ho: p = 0.10 vs Ha: p ≠≠ 0.10 , what would be the most likely conclusion? a. There is very strong evidence that p ≠0.10. b. There is strong evidence that p ≠ 0.10. c. There is little to no evidence that p ≠ 0.10. d. Cannot tell
Chapter9: Sequences, Probability And Counting Theory
Section9.7: Probability
Problem 1SE: What term is used to express the likelihood of an event occurring? Are there restrictions on its...
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A researcher wants to estimate the true proportion of Americans who suffer side-effects after taking a particular medication. A 99% confidence interval for the true proportion of Americans who suffer side-effects after taking the particular medication was found to be (0.024, 0.160).
If a hypothesis test is conducted with the hypotheses, Ho: p = 0.10 vs Ha: p ≠≠ 0.10 , what would be the most likely conclusion?
a. There is very strong evidence that p ≠0.10.
b. There is strong evidence that p ≠ 0.10.
c. There is little to no evidence that p ≠ 0.10.
d. Cannot tell
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