Buying and Selling Game Contest 18 Results

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    spectrumecons

    Published on Apr 21, 2021
    About :

    Hi Everyone,

    Welcome to the ‘Buying and Selling Game’ Contest 18 results post. This post contains a video of the ‘Buying and Selling Game’ Excel Model generating the selling prices for each bag of vegetables for each planet described in the initial question.

    Winner determined in this video

    What is the Buying and Selling Game?


    For the benefit of those who have not entered this contest, here is a brief explanation of how the game works.

    Participants are required to buy goods with an allocated amount of money. They are given a choice of 6 goods and all these goods are available in any of the 5 towns, cities, islands or planets in the game. The buying prices of all goods are provided in the question.

    The participants are then required to sell all of their goods on a future date. The selling prices for all goods in all towns, cities, islands or planets are not provided. Instead, the question provides a triangle distribution for the selling price of each good in each town, city, island or planet. For the triangle distribution, the minimum, maximum, and mode values are provided.

    The participant that has the most money after selling all his or her goods is the winner.

    Responses to the contest are made in the comments section of the post. If several participants make the same amount of money, the person who entered (commented) first will win. The account with the winning entry will receive 30 Hive and the first 12 entries will be given upvotes. The most profitable buying and selling price combination is also calculated. If the winner adopts this strategy, he or she will receive an additional 5 Hive. If nobody makes a profit (i.e. zero or negative), the prize will be rolled over to the next contest.

    The format of the required entry is explained in detail in the contest itself.

    For a more detailed explanation, you can access the contest post using the following link.

    BSG_C18_THUMB_X.jpg

    Results of the contest


    Table 1 contains the selling prices generated by the ‘Buying and Selling’ Game model for each bag of vegetables from each planet.

    Table 1: Selling prices of all vegetables for each planet

    BSG_C18_SELL_PRICE.jpg

    Table 2 contains responses and the profit made by each participant.

    Table 2: Participant responses and profit

    BSG_C18_Participants.jpg

    Congratulations to @jdike for winning Contest 18 of the 'Buying and Selling’ Game.

    On Planet Garl, he bought 2,857 bags of carrots at $0.70 each. He paid a total of $1,999.90.

    On Planet Letti, he sold the 2,857 bags of carrots at $1.387 each. He received a total of $3,962.70. Therefore, he made a profit of $1,963 (3,962.70 – 1,999.90).

    Highest possible profit


    @jdike’s strategy also produced the highest possible profit for this week’s game. By obtaining the highest possible profit, @jdike has been awarded an additional 5 Hive. This brings his winnings to 35 Hive.

    Table 3: Lowest buying price and highest selling price

    BSG_C18_OPTIMAL.jpg

    I would also like to thank @sifondeseltz, @razielmorales, , @jeffersom, @geekgirl, @crrdlx, and @sinahit for participating.

    Tips for future games (If you want to participate in the next contest, I strongly recommend you read this section of the post)

    BSG_TIP.jpg

    To achieve the best chance of winning the game (i.e. earning the highest profit). Participants need to make the best use of the information they are given. The participant should buy from the place that sells the good at the lowest price and sell at the place that will offer the highest price.

    To inform the decision further, participants should also consider the mean and median prices for each good in each place. The mean and median for a triangle distribution can be calculated using the following formulae.

    Mean = (Minimum + Maximum + Mode)/3

    Median when Mode ≥ (maximum – minimum)/2 (i.e. mode closer to maximum)
    Minimum + (((maximum – minimum) × (mode – minimum))/2)0.5

    Median when Mode ≤ (maximum – minimum)/2 (i.e. mode closer to minimum)
    Maximum - (((maximum – minimum) × (maximum – mode))/2)0.5

    Proof Median

    Median_TIP.jpg


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