The production of the Reliable Manufacturing Company for 2013 and part of 2014 is as follows:...
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The production of the Reliable Manufacturing Company for 2013 and part of 2014 is as follows: 2013 Production (thousands) 2014 Production (thousands) 2013 Production (thousands) 2014 Production (thousands) Month July August September October November December Month January February March April May June 6 8 14 14 13 2 a. Using the ratio-to-moving-average method, determine the specific seasonals for July, August, and September 2013. (Round the final answers to 1 decimal place in thousands of dollars.) July August September b-1. Assume that the specific seasonal indexes in the following table are correct. Insert in the table the specific seasonals you computed in part (a) for July, August, and September 2013. (Round the final answers to 1 decimat place in thousands of dollars.) Year Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. 2013 94.0 103.9 91.7 100.7 89.9 114.2 94.5 45.9 2014 2015 2016 2017 88.9 100.4 177.3 115.9 89.2 101.8 167.7 126.2 81.8 104.0 168.1 123.8 89.4 114.7 185.4 115.3 59.9 44.4 59.4 50.8 71.5 45.5 45.9 74.4 73.6 203.4 196.7 200.8 90.9 80.3 62.7 42.9 58.4 55.8 79.8 105.5 93.3 b-2. Determine the 12 typical seasonal indexes. (Round the final answers to 1 decimal place in thousands of dollars.) b-1. Assume that the specific seasonal indexes in the following table are correct. Insert in the table the specific seasonals you computed in part (a) for July, August, and September 2013. (Round the final answers to 1 decimal place in thousands of dollars.) Year Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. 2013 2014 2015 2016 94.0 103.9 91.7 100.7 90.9 89.9 114.2 79.8 105.5 94.5 88.9 100.4 177.3 115.9 89.2 101.8 167.7 126.2 81.8 104.e 168.1 123.8 89.4 114.7 185.4 115.3 45.9 59.9 44.4 59.4 50.8 62.7 42.9 203.4 196.7 200.8 71.5 45.5 45.9 74.4 73.6 80.3 93.3 2017 58.4 55.8 b-2. Determine the 12 typical seasonal indexes. (Round the final answers to 1 decimal place in thousands of dollars.) Month Seasonal Index Jan. Feb. March April Мay June July August Sept. Oct. Nov. Dec. c. Interpret the typical seasonal index. Sales are considerably above 9 average in September and March and below 9average in May, June, and July. The production of the Reliable Manufacturing Company for 2013 and part of 2014 is as follows: 2013 Production (thousands) 2014 Production (thousands) 2013 Production (thousands) 2014 Production (thousands) Month July August September October November December Month January February March April May June 6 8 14 14 13 2 a. Using the ratio-to-moving-average method, determine the specific seasonals for July, August, and September 2013. (Round the final answers to 1 decimal place in thousands of dollars.) July August September b-1. Assume that the specific seasonal indexes in the following table are correct. Insert in the table the specific seasonals you computed in part (a) for July, August, and September 2013. (Round the final answers to 1 decimat place in thousands of dollars.) Year Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. 2013 94.0 103.9 91.7 100.7 89.9 114.2 94.5 45.9 2014 2015 2016 2017 88.9 100.4 177.3 115.9 89.2 101.8 167.7 126.2 81.8 104.0 168.1 123.8 89.4 114.7 185.4 115.3 59.9 44.4 59.4 50.8 71.5 45.5 45.9 74.4 73.6 203.4 196.7 200.8 90.9 80.3 62.7 42.9 58.4 55.8 79.8 105.5 93.3 b-2. Determine the 12 typical seasonal indexes. (Round the final answers to 1 decimal place in thousands of dollars.) b-1. Assume that the specific seasonal indexes in the following table are correct. Insert in the table the specific seasonals you computed in part (a) for July, August, and September 2013. (Round the final answers to 1 decimal place in thousands of dollars.) Year Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. 2013 2014 2015 2016 94.0 103.9 91.7 100.7 90.9 89.9 114.2 79.8 105.5 94.5 88.9 100.4 177.3 115.9 89.2 101.8 167.7 126.2 81.8 104.e 168.1 123.8 89.4 114.7 185.4 115.3 45.9 59.9 44.4 59.4 50.8 62.7 42.9 203.4 196.7 200.8 71.5 45.5 45.9 74.4 73.6 80.3 93.3 2017 58.4 55.8 b-2. Determine the 12 typical seasonal indexes. (Round the final answers to 1 decimal place in thousands of dollars.) Month Seasonal Index Jan. Feb. March April Мay June July August Sept. Oct. Nov. Dec. c. Interpret the typical seasonal index. Sales are considerably above 9 average in September and March and below 9average in May, June, and July.
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Related Book For
Statistical Techniques in Business and Economics
ISBN: 978-0078020520
16th edition
Authors: Douglas Lind, William Marchal
Posted Date:
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