Answer:
Explanation:
I pack carefully
( 1 ) While I’m on my way to pull over, I can signal and drive at the same speed I was before to avoid any collision.
I prepare to show everything
(2) After pulling over, I could turn on hazard lights, make sure I’m not in anyone’s way, prove that I’m not hiding anything by showing both my hands, and answering to everything the police officer says.
3) I roll down my window
Basically, Benedict's test identifies the existence of aldehydes and alpha-hydroxy-ketones, also by hemiacetal, as well as those that take place in specific ketoses. Therefore, it is an alpha-hydroxy-ketone even if the ketose fructose is not strictly a reducing sugar, and provides a positive test since it is transformed into the mannose and aldoses glucose by the base inside the reagent.
The probability that the proportion of patients who wait less than 30 minutes is 0.582 or less is 0.0020
<h3>What is probability? </h3>
Probability can be defined as the likelihood of an event to occur. In statistics, the mean of the sample distribution typically shows the probability of the population.
From the parameters given:
- The sample size (n) = 55 patients
- Let's assume that the mean (x) = 32 (i.e. 58.2%) of the patients
The sample proportion
can be computed by using the expression:



If the percentage of the probability of all patients in the emergency room = 0.75
The probability that the proportion of patients who wait less than 30 minutes is 0.582 or less can be computed as:



From the Z distribution table:


Learn more about probability here:
brainly.com/question/24756209