The beginning inventory at Funky Party Supplies and data on purchases and sales for a three-month period are as follows: Date Transaction Number Per Unit Total
of Units
Jan. 1 Inventory 2,500 $60.00 $150,000
10 Purchase 7,500 68.00 510,000
28 Sale 3,750 120.00 450,000
30 Sale 1,250 120.00 150,000
Feb. 5 Sale 500 $120.00 $60,000
10 Purchase 18,000 70.00 1,260,000
16 Sale 9,000 125.00 1,125,000
28 Sale 8,500 125.00 1,062,500
Mar. 5 Purchase 15,000 71.60 1,074,000
14 Sale 10,000 125.00 1,250,000
25 Purchase 2,500 72.00 180,000
30 Sale 8,750 125.00 1,093,750
Required:
1. Record the inventory, purchases, and cost of merchandise sold data in a perpetual inventory record similar to the one illustrated in Exhibit 5, using the last-in, first-out method. Under LIFO, if units are in inventory at two different costs, enter the units with the HIGHER unit cost first in the Cost of Merchandise Sold Unit Cost column and LOWER unit cost first in the Inventory Unit Cost column. Round unit cost to two decimal places, if necessary.
2. Determine the total sales, the total cost of merchandise sold, and the gross profit from sales for the period.
3. Determine the ending inventory cost as of March 31, 2016.

The monthly sales for yazici​ batteries, inc., were as​ follows: month jan feb mar apr may jun jul aug sept oct nov dec sales 19 20 17 12 11 18 16 17 19 22 21 24 this exercise contains only parts b and c. ​b) the forecast for the next month​ (jan) using the naive method​ = nothing sales ​(round your response to a whole​ number). the forecast for the next period​ (jan) using a​ 3-month moving average approach​ = nothing sales ​(round your response to two decimal​ places). the forecast for the next period​ (jan) using a​ 6-month weighted average with weights of 0.10​, 0.10​, 0.10​, 0.20​, 0.20​, and 0.30​, where the heaviest weights are applied to the most recent month​ = nothing sales ​(round your response to one decimal​ place). using exponential smoothing with alpha ​= 0.40 and a september forecast of 21.00​, the forecast for the next period​ (jan) = nothing sales ​(round your response to two decimal​ places). using a method of trend​ projection, the forecast for the next month​ (jan) = nothing sales ​(round your response to two decimal​ places). ​c) the method that can be used for making a forecast for the month of march is ▾ a 3-month moving average a 6-month weighted moving average exponential smoothing the naive method a trend projection .

Match the steps for conducting an informational interview with the tasks in each step.

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