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Options One sample proportion confidence interval: Outcomes in : Meet or Not Meet Current Standards Success : y p : Proportion of successes Method: Standard-Wald

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Options One sample proportion confidence interval: Outcomes in : Meet or Not Meet Current Standards Success : y p : Proportion of successes Method: Standard-Wald 95% confidence interval results: Variable Count Total Sample Prop. Std. Err. L. Limit U. Limit Meet or Not Meet Current Standards 693 750 0.924 0.009676363 0.90503468 0.94296532 Agency leadership is very interested in trend analysis. Using the 750 randomly selected vehicles as their sample, data was collected to determine which vehicles currently meet or exceed fuel economy standards and which vehicles currently do not meet fuel economy standards. This information is found in the Meet or Not Meet Current Standards column. Agency leadership asks your team to construct a 95% One-Sample proportion confidence interval for the population proportion of all vehicles that meet current fuel economy standards. Assume that all necessary Central Limit Theorem conditions for a One-Proportion confidence interval have been met. What is the 95% lower limit? % (Round to two decimal places as needed.)

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