Escents, a body lotion manufacturer from Canada, negotiated a contract with a shea butter company in Mali, Africa, to supply 40% of the needed shea butter for its products. The negotiations ended, and the process of moving shea butter supplies across Mali to the coast for shipping began. Along the way, there were delays because trucks would be stopped by washed-out roads or faulty bridges. What challenge did Escents discover with working in a less-developed country like Mali

Price and efficiency variances, journal entries. the schuyler corporation manufactures lamps. it has set up the following standards per finished unit for direct materials and direct manufacturing labor: direct materials: 10 lb. at $4.50 per lb. $45.00 direct manufacturing labor: 0.5 hour at $30 per hour 15.00 the number of finished units budgeted for january 2017 was 10,000; 9,850 units were actually produced. actual results in january 2017 were as follows: direct materials: 98,055 lb. used direct manufacturing labor: 4,900 hours $154,350 assume that there was no beginning inventory of either direct materials or finished units. during the month, materials purchased amounted to 100,000 lb., at a total cost of $465,000. input price variances are isolated upon purchase. input-efficiency variances are isolated at the time of usage. 1. compute the january 2017 price and efficiency variances of direct materials and direct manufacturing labor. 2. prepare journal entries to record the variances in requirement 1. 3. comment on the january 2017 price and efficiency variances of schuyler corporation. 4. why might schuyler calculate direct materials price variances and direct materials efficiency variances with reference to different points in time

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The wall street journal reported that walmart stores inc. is planning to lay off 2,300 employees at its sam's club warehouse unit. approximately half of the layoffs will be hourly employees (the wall street journal, january 25-26, 2014). suppose the following data represent the percentage of hourly employees laid off for 15 sam's club stores. 55 56 44 43 44 56 60 62 57 45 36 38 50 69 65 (a) compute the mean and median percentage of hourly employees being laid off at these stores. (b) compute the first and third quartiles. (c) compute the range and interquartile range. (d) compute the variance and standard deviation. (e) do the data contain any outliers? (f) based on the sample data, does it appear that walmart is meeting its goal for reducing the number of hourly employees?