Exercise 10-30 Cost Variance Investigation (LO 10-4)The director of cost management for Odessa Company uses a statistical control chart to help management determine when to investigate variances. The critical value is 1 standard deviation. The company incurred the following direct-labor efficiency variances during the first six months of the current year. January $ 500 F February 1,600 U March 1,400 U April 1,800 U May 2,100 U June 2,400 U The standard direct-labor cost during each of these months was $38,000. The controller has estimated that the firm’s monthly direct-labor variances have a standard deviation of $1,900.Required:a. Determine the cutoff value for investigation if the controller’s rule of thumb is to investigate all variances equal to or greater than 6 percent of standard cost. b. Based on the cutoff value, which of the month(s) will have their direct-labor efficiency variance investigated?

When consumers discard their gasoline-powered automobiles for electric-powered ones, this partially reflects the of gasoline?

Starting at age 30, you deposit $2000 a year into an ira account for retirement. treat the yearly deposits into the account as a continuous income stream. if money in the account earns 7%, compounded continuously, how much will be in the account 35 years later, when you retire at age 65? how much of the final amount is interest?

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 .