Standare Costs and Variances Data Set for E11-28A through E11-32A Country Designs is a manufacturer of large flower pots for urban settings. The company has these standards: Direct materials (resin) .. 13 pounds per pot at a cost of $4.00 per pound 4.0 hours at a cost of $17.00 per hour $7.00 per direct labor hour Direct labor Standard variable manufacturing overhead rat. Budgeted fixed manufacturing overhead.$50,000 Standard fixed MOH rate... $10.00 per direct labor hour (DLH) Country Designs allocated fixed manufacturing overhead to production based on standard direct labor hours. Last month, the company reported the following actual results for the pro- duction of 1,300 flower pots: Purchased 18,510 pounds at a cost of S4.50 per pound; used 17,810 pounds to produce 1,300 pots Direct materials Worked 4.5 hours per flower pot (5,850 total DLH) at a cost of $16.00 per hour Direct labor Actual variable manufacturing overhead $7.20 per direct labor hour for total actual variable manufacturing overhead of $42,120 Actual fixed manufacturing overhead.S49,500 Standard fixed manufacturing overhead allocated based on actual production $$2,000 E11-28A Calculate and interpret direct material variances (Learning Objective 2) Refer to the Country Designs data set. Requirements 1. Compute the direct material price variance and the direct material quantity variance. 2. Who is generally responsible for each variance? 3. Interpret the variances. / Calculate and interpret direct labor variances (Learning Objective 3) E 11-29A Refer to the Country Designs data set. Requirements 1. Compute the direct labor rate variance and the direct labor efficiency vari 2. What is the total variance for direct labor? 3. Who is generally responsible for each variance? 4. Interpret the variances. E11-30A Calculate and interpret overhead variances (Learning Objectives 5 & 6) Refer to the Country Designs data set. Requirements 1. Compute the variable manufacturing overhead variances. What do each of these vari- ances tell management? Compute the fixed manufacturing overhead variances. What do each of these vari- ances tell management? 2