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1 The personnel department of BBS is concerned about absenteeism ar a general feeling that the underly has yet analysed the figures. The has remained virtually unchanged

1 The personnel department of BBS is concerned about absenteeism ar a general feeling that the underly has yet analysed the figures. The has remained virtually unchanged

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 23PPS
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1 The personnel department of BBS plc, a large food processing company, is concerned about absenteeism among its shop floor workforce. There is a general feeling that the underlying trend has been rising, but nobody has yet analysed the figures. The total number of shop floor employees has remained virtually unchanged over the last few years. The mean number of absentees per day is given below for each quarter of the years 2011 to 2013 and quarter 1 of 2014.
Transcribed Image Text:1 The personnel department of BBS plc, a large food processing company, is concerned about absenteeism among its shop floor workforce. There is a general feeling that the underlying trend has been rising, but nobody has yet analysed the figures. The total number of shop floor employees has remained virtually unchanged over the last few years. The mean number of absentees per day is given below for each quarter of the years 2011 to 2013 and quarter 1 of 2014.
Q1 Q2 Q3 Q4 2011 25.1 14.4 9.5 23.7 2012 27.9 16.9 12.4 26.1 2013 31.4 19.7 15.9 29.9 2014 34.5 (a) Plot the data on a graph (leave space for the remaining 2014 figures). (b) Use the method of moving averages to determine the trend in the series and superimpose this on your graph. Interpret your graph. (C) Use an appropriate method to measure the seasonal pattern in the data. Co Briefly give reasons for your choice of method. Arough forecasts of the mean number of
Transcribed Image Text:Q1 Q2 Q3 Q4 2011 25.1 14.4 9.5 23.7 2012 27.9 16.9 12.4 26.1 2013 31.4 19.7 15.9 29.9 2014 34.5 (a) Plot the data on a graph (leave space for the remaining 2014 figures). (b) Use the method of moving averages to determine the trend in the series and superimpose this on your graph. Interpret your graph. (C) Use an appropriate method to measure the seasonal pattern in the data. Co Briefly give reasons for your choice of method. Arough forecasts of the mean number of
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