Barberry, Inc., manufactures a product called Fruta. The company uses a standard cost system and has established the following standards for one unit of Fruta:
Standard Quantity Standard Price
or Rate Standard Cost
Direct materials 1.5 pounds $ 6.00 per pound $ 9.00
Direct labor 0.6 hours $ 12.00 per hour 7.20
Variable manufacturing overhead 0.6 hours $ 2.50 per hour 1.50
$ 17.70
During June, the company recorded this activity related to the production of Fruta:
a. The company produced 3,000 units during June.
b. A total of 8,000 pounds of material were purchased at a cost of $46,000.
c. There was no beginning inventory of materials; however, at the end of the month, 2,000 pounds of material remained in ending inventory.
d. The company employs 10 persons to work on the production of Fruta. During June, they worked an average of 160 hours at an average rate of $12.50 per hour.
e. Variable manufacturing overhead is assigned to Fruta on the basis of direct labor-hours. Variable manufacturing overhead costs during June totaled $3,600.

The economic advisor of a large tire store proposes the demand function d(p)equalsstartfraction 1900 over p minus 40 endfraction , where d(p) is the number of tires of one brand and size that can be sold in one day at price p. answer parts (a) through (e) below. a. recalling that the demand must be positive, what is the domain of this function? the domain consists of all possible values of ▼ for which ▼ p d(p) ▼ does not exist. is positive. is zero. is negative. exists.

Using the exxon data as an example what would be the market capitalization of penny's pickles if each share is selling for $175.35?

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 .