As I watched, the sun broke weakly through, brightened the rich red of the fawns, and kindled their white spots.” E.B. White, “Twins” Poems and Sketches Analysis: What kind of flames does kindled imply? How does this verb suit the purpose of the sentence? Kindled is the start of a gentle flame so in the sentence it applies that on the rich red of the fawn's coat, the white spots kindle a soft fire. The verb suits the purpose of the sentence because it’s purpose is to catch the fawns in the early morning. The gleam of the the fawns patches and correlates the fire to the budding deer. Kindled implies a friendly flame. The sentence expresses the fauns white glow. Would the sentence be strengthened or weakened by changing the
<span>B)<span>employees should be hired according to overall intelligence</span></span>
In the suggest period between 200,000 and 12,000 years ago, humans were living a nomadic lifestyle. The humans of this period were hunter-gatherers, and they were constantly moving from one place to another in accordance to the food supply and climate conditions. Because of this constant movement and constant search for better hunting grounds and places where there's much bigger and more constant supply of fruits, vegetables, root plants, they managed to disperse in very big space and little by little to colonize the planet. In this period the cultivation of plants was still not taking place, and also the humans still hadn't managed to domesticate any wild animals, apart from the wolf which gave rise to the dog, but it was used for hunting, not as a food source.
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