Pelham runs a breakfast café famous for their generous egg d…
Pelham runs a breakfast café famous for their generous egg dishes. Pelham always uses fresh organic jumbo eggs from free range chickens hereafter, just “eggs”). When Pelham’s regular egg source retires, Pelham needed a new egg supplier. After some searching. Pelham found Douglas Eggs, an egg farm owned by Douglas that could supply the steady stream of eggs Pelham needed for his restaurant. Pelham needs an average of 400 eggs each day to make breakfast for 100 people paying $10 each for breakfast. Pelham’s café is open 5 days each week. Douglas and Pelham discussed a possible agreement over the phone. In the phone discussion both agreed that they would formalize their tentative agreement with a written contract. Pelham explained that he needed 400 eggs delivered every day at 5:00 AM. Douglas said he wanted 25 cents for each egg. Pelham said that seemed high, but he would see how good the eggs were. Pelham said he needed some kind of a guarantee that the delivery of the eggs would occur. He noted that he would lose $1,000 every day he had no eggs. Pelham also insited that the price needed to last for the whole year. Douglas sent Pelham a written order form Douglas prepared. The order form said Pelham was ordering 400 eggs delivered every day at 5:00 AM. Upon delivery each day Pelham was to give the delivery driver a check for $100. This arrangement would occur on each of the five days a week Pelham’s was open for the next 12 months. On the back there was a lot of boilerplate language. This included a clause that said “This written agreement is the full and only agreement of the parties and supersedes all other discussions or negotiations.” It also included a clause that said “The seller retains the right to raise prices periodically with one week’s notice.” Pelham crossed out this last clause and wrote in a new clause on the form. It read: “If eggs are not delivered in a timely manner each day Douglas shall pay Pelham $1,000 a day for every day there is no delivery. This is meant to be liquidated damages. Because lost profits can be difficult to prove the parties stipulate that these shall be the damages if Douglas does not deliver as promised. Pelham does not agree to the terms of this contract unless this clause is agreed to and counter-signed by Douglas and no additional changes are made in the terms of our agreement. Pelham initialed the new handwritten clause and signed the purchase order. Pelham mailed the signed modified order and hand delivered it to Douglas’ office. Douglas was out, but Pelham left the purchase order with Douglas’ secretary. An hour later Pelham called Douglas and asked if he had signed the contract. Douglas said that he had signed and the first shipment of eggs would be there in the morning. Things when well for the first month. At the start of the second month the eggs did not arrive. Douglas did not answer Pelham’s calls. The restaurant was classed for three days without eggs. By the fourth day Pelham was able to line up a new contract with another egg supplier for 30 cents an egg for eggs for the rest of the year. Pelham sues Douglas, who claims he did not really sign the purchase order. Discuss.
Read DetailsAfter a trade show, Bob and Sarah are having a drink in the…
After a trade show, Bob and Sarah are having a drink in the hotel bar. Sarah is an agent for a manufacturer of hot-rolled steel. Bob is an agent for a tool-and-die company. You may assume they have the authority to bind their companies. They discuss a sale of hot-rolled steel for $275 per metric ton. Really? Bob asks. That’s a great price.
Read DetailsCharlie broke into Clara’s house one night. As Charlie was c…
Charlie broke into Clara’s house one night. As Charlie was collecting valuables, he was surprised by Clara. Charlie struck Clara on the head with a candlestick and tied her up, then finished filling his sack and left. The police discovered Clara several hours later and rushed her to the hospital. Charlie was apprehended by the police early the following morning with the loot still in his possession. Charlie was taken to police headquarters, given Miranda warnings, and asked if he wished to make a statement about the prior evening’s events. The police did not mention that Clara had been seriously injured and was in the hospital. Charlie said he understood his rights and was willing to talk. Charlie then admitted that he committed the burglary of Clara’s house. The following day, Clara died from injuries caused by the blow to her head. Charlie was charged with murder.If Charlie moves to prevent introduction of the confession into evidence, should his motion be granted?
Read DetailsA national park’s visitor density is the number of recreatio…
A national park’s visitor density is the number of recreation visits divided by the park’s gross acreage. Some parks are tiny and absorb millions of visitors per year; others are vast and quiet. In this problem, you will rank the parks by how densely visited they are on average. Write a function named top_parks_by_density that accepts three arguments: a parks file name, a visits file name, and a number n. For each row in the visits file, compute that park’s visitor density for that year (visits divided by acres). Return a pandas Series of the n parks with the highest mean density across all years on file, sorted from highest to lowest. Open this problem in Vocareum to write and submit your solution. A few ground rules while you work: Keep this Canvas quiz and Honorlock open for the duration of the problem. Do not close or submit the quiz until you are finished in Vocareum. You do not need to write or submit anything in Canvas. We will check Vocareum for your solution. You may submit and test your solution in Vocareum as many times as you like before the quiz time limit expires. Once the quiz ends, Vocareum will lock and you will not be able to make further changes. The data file is available in your Vocareum workspace. You do not need to upload it. It is linked above only for your reference. Examples In [1]: top_parks_by_density(‘nps_parks.csv’, ‘nps_visits.csv’, 8) Out[1]: park Gateway Arch NP 8640.39 Hot Springs NP 335.26 Indiana Dunes NP 144.45 Cuyahoga Valley NP 77.55 Acadia NP 71.62 Bryce Canyon NP 63.74 Zion NP 29.98 Haleakala NP 28.11 Name: density, dtype: float64 In [2]: top_parks_by_density(‘nps_parks.csv’, ‘nps_visits.csv’, 5) Out[2]: park Gateway Arch NP 8640.39 Hot Springs NP 335.26 Indiana Dunes NP 144.45 Cuyahoga Valley NP 77.55 Acadia NP 71.62 Name: density, dtype: float64
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