Choose the correct interpretation of the 90% CI 0.520 < µ < 0.693: A) There is a 90% chance that the true value of µ will fall between 0.520 and 0.693. B) We are 90% confident that the interval from 0.520 to 0.693 actually does contain the true value of the population proportion µ. C) 90% of sample means will fall between 0.520 and 0.693. D) I do not like statistics and would never interpret a confidence interval.
Choose the correct interpretation of the 90% CI 0.520 < µ < 0.693:
A) There is a 90% chance that the true value of µ will fall between 0.520 and 0.693.
B) We are 90% confident that the interval from 0.520 to 0.693 actually does contain the true value of the population proportion µ.
C) 90% of sample means will fall between 0.520 and 0.693.
D) I do not like statistics and would never interpret a confidence interval.
Choose the correct interpretation of the 90% CI 0.520 < µ < 0.693:
A) There is a 90% chance that the true value of µ will fall between 0.520 and 0.693.
B) We are 90% confident that the interval from 0.520 to 0.693 actually does contain the true value of the population proportion µ.
C) 90% of sample means will fall between 0.520 and 0.693.
D) I do not like statistics and would never interpret a confidence interval.
Explanation:
A confidence interval estimates a likely range of values for the population parameter at desired confidence level.
Thus, the correct interpretation of the 90% CI 0.520 < µ < 0.693 is
A) There is a 90% chance that the true value of µ will fall between 0.520 and 0.693.
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