is a measure of national output or the dollar amount of all final goods and services produced within a country's national border in a year.

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 .

What is the relationship between credit and debt?

The following information is from the 2019 records of albert book shop: accounts receivable, december 31, 2019 $ 42 comma 000 (debit) allowance for bad debts, december 31, 2019 prior to adjustment 2 comma 000 (debit) net credit sales for 2019 179 comma 000 accounts written off as uncollectible during 2017 15 comma 000 cash sales during 2019 28 comma 500 bad debts expense is estimated by the method. management estimates that $ 5 comma 300 of accounts receivable will be uncollectible. calculate the amount of bad debts expense for 2019.