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Numerical Case Study 
On 
“Business Statistics” 
By 
Aditya Purohit 
(BBA 2nd Year) 
106/10 civil lines, 
Ajmer 305001 
Website: www.dezyneecole.com
NUMERICAL CASE STUDY ON TIME SERIES ANALYSIS: 
(i) A Company produced Tea every economic year, the tea production of a 
company are as follows: 
Year Production 
[‘000 lbs.] 
Year Production 
[‘000 lbs.] 
1986 165 1998 280 
1987 178 1999 351 
1988 236 2000 320 
1989 213 2001 370 
1990 180 2002 366 
1991 163 2003 325 
1992 150 2004 256 
1993 187 2005 304 
1994 210 2006 291 
1995 237 2007 271 
1996 203 2008 274 
1997 215 2009 272 
Draw a time series graph on a graph paper relating to the following data and show 
the trend by free hand curve and comment on the trend by giving emphasis in the 
component of time series and business cycle and comment on the company’s 
position and elaborate the stage or year of production according to the business 
cycle.
(ii) Also find the trend of production by the method of a 3 yearly cycle and also 
suggest the minimum and maximum level of production according to the time 
series analysis and trend value for the company for the following data: 
Year Production 
[in tonnes] 
2000 11 
2001 12 
2002 10 
2003 8 
2004 9 
2005 10 
2006 12 
2007 11 
2008 13 
2009 14
SUMMARY 
TOOLS and TECHNIQUES used in solving the case study: 
Meaning of Analysis of Time Series: 
“ A Time Series may be defined as a collection of magnitudes belonging to 
different time periods, of some variable or composite of variables, such as 
production of steel, per capita income, gross national product, production of 
tobacco, or index of industrial production ”. 
Utility of Time Series: 
1. It helps in Understanding Past behavior. 
2. It helps in forecasting. 
3. It helps in evaluating Current Accomplishments. 
4. It helps in Comparison. 
Use of Long term or secular trend: 
Ina time series secular trend means long term changes. In any time if we see the 
changes between two periods, we will find increasing or decreasing or even a 
constant trend. 
Methods used in measuring long term or secular trend in case study: 
(i) Free hand curve method. 
(ii) Moving average method.
(i) 
Comment on trend with emphasis on component of 
time series 
By observing the trend line and trend analysis from the graph, we can clearly 
depict that it is a secular or long term trend component of time series and by 
observation, we can analyze that an increasing trend has been seen in production of 
the company from the starting year i.e. 1986 to 2009 (ignoring the short term 
fluctuations) and high’s have been recorded in the year 1988, 1995, 1999(drastic), 
2001, 2002, 2005 and 2007.
Comment according to the business cycle 
According to the business cycle components, the years for different stages of 
production are as follows: 
YEARS IN 
PROSPERITY STAGE: 1986, 1987, 1988, 1999, 2001 & 2002. 
YEARS IN 
DECLINE STAGE: 1989, 1990, 1991, 2000 & 2003. 
YEARS IN 
DEPRESSION STAGE: 1992, 1993 & 2004. 
YEARS IN 
IMPROVEMENT STAGE: 1994, 1995, 1996, 1997, 1998, 2005, 2006, 2007, 
2008 & 2009. 
By looking at the trend according to the business cycle, we observe that although 
for five years company’s production declined, even it felt in depression stage for 
three years but overall, company’s production have shown rapid improvement and 
even prosperity. 
Company has altogether managed to maintain its prosperity in production 
and has shown remarkable improvement as compared to past years.
(ii) 
Year Production 
[in tonnes] 
3 Yearly Totals 3 Yearly Moving 
Average 
2000 11 - - 
2001 12 33 11 
2002 10 30 10 
2003 8 27 9 
2004 9 27 9 
2005 10 31 10 
2006 12 33 11 
2007 11 36 12 
2008 13 38 13 
2009 14 - -
Comment according to the trend observed 
By watching the trend analysis from the graph, we can clearly depict that for the 
original data, minimum level of production has been recorded in the year 2003 
which was 8 tonnes and the maximum level of production has been recorded in the 
year 2009 which was 14 tonnes. 
In the same way, by watching the trend analysis for 3 yearly moving 
average, we can depict that the minimum level of production has been recorded 
consistently for two years i.e. 2003 and 2004 which was 9 tonnes for both the years 
and the maximum level of production has been recorded in the year 2008 which 
was 13 tonnes. 
Comparison of the two Graphs 
(I: Graph from 1986 to 2009) 
(II: 3 Yearly m.a. graph from 2000 to 2009) 
If we compare the trend lines and trend analysis for both the graphs, we can clearly 
remark that if the company would have produced as per the 3 yearly m.a. graph, 
then it would have produced more in tones as compared to the production done by 
the company from years 1986 to 2009. 
REASON: As per the 3 yearly m.a. graph is concerned, it clearly shows that the 
trend line has shown rapid growth significantly both for 3 yearly m.a. as well as for 
original data.
Bibliography 
On completing this case study successfully, I would like to thank my 
subject teacher Ma’am Neha who cleared all my doubts regarding the 
case study and for supporting me in every step of this case study and I 
would also like to thank my parents who were always there with me in 
every phase of the case study.

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Case study on Business Statistics

  • 1. Numerical Case Study On “Business Statistics” By Aditya Purohit (BBA 2nd Year) 106/10 civil lines, Ajmer 305001 Website: www.dezyneecole.com
  • 2. NUMERICAL CASE STUDY ON TIME SERIES ANALYSIS: (i) A Company produced Tea every economic year, the tea production of a company are as follows: Year Production [‘000 lbs.] Year Production [‘000 lbs.] 1986 165 1998 280 1987 178 1999 351 1988 236 2000 320 1989 213 2001 370 1990 180 2002 366 1991 163 2003 325 1992 150 2004 256 1993 187 2005 304 1994 210 2006 291 1995 237 2007 271 1996 203 2008 274 1997 215 2009 272 Draw a time series graph on a graph paper relating to the following data and show the trend by free hand curve and comment on the trend by giving emphasis in the component of time series and business cycle and comment on the company’s position and elaborate the stage or year of production according to the business cycle.
  • 3. (ii) Also find the trend of production by the method of a 3 yearly cycle and also suggest the minimum and maximum level of production according to the time series analysis and trend value for the company for the following data: Year Production [in tonnes] 2000 11 2001 12 2002 10 2003 8 2004 9 2005 10 2006 12 2007 11 2008 13 2009 14
  • 4. SUMMARY TOOLS and TECHNIQUES used in solving the case study: Meaning of Analysis of Time Series: “ A Time Series may be defined as a collection of magnitudes belonging to different time periods, of some variable or composite of variables, such as production of steel, per capita income, gross national product, production of tobacco, or index of industrial production ”. Utility of Time Series: 1. It helps in Understanding Past behavior. 2. It helps in forecasting. 3. It helps in evaluating Current Accomplishments. 4. It helps in Comparison. Use of Long term or secular trend: Ina time series secular trend means long term changes. In any time if we see the changes between two periods, we will find increasing or decreasing or even a constant trend. Methods used in measuring long term or secular trend in case study: (i) Free hand curve method. (ii) Moving average method.
  • 5. (i) Comment on trend with emphasis on component of time series By observing the trend line and trend analysis from the graph, we can clearly depict that it is a secular or long term trend component of time series and by observation, we can analyze that an increasing trend has been seen in production of the company from the starting year i.e. 1986 to 2009 (ignoring the short term fluctuations) and high’s have been recorded in the year 1988, 1995, 1999(drastic), 2001, 2002, 2005 and 2007.
  • 6. Comment according to the business cycle According to the business cycle components, the years for different stages of production are as follows: YEARS IN PROSPERITY STAGE: 1986, 1987, 1988, 1999, 2001 & 2002. YEARS IN DECLINE STAGE: 1989, 1990, 1991, 2000 & 2003. YEARS IN DEPRESSION STAGE: 1992, 1993 & 2004. YEARS IN IMPROVEMENT STAGE: 1994, 1995, 1996, 1997, 1998, 2005, 2006, 2007, 2008 & 2009. By looking at the trend according to the business cycle, we observe that although for five years company’s production declined, even it felt in depression stage for three years but overall, company’s production have shown rapid improvement and even prosperity. Company has altogether managed to maintain its prosperity in production and has shown remarkable improvement as compared to past years.
  • 7. (ii) Year Production [in tonnes] 3 Yearly Totals 3 Yearly Moving Average 2000 11 - - 2001 12 33 11 2002 10 30 10 2003 8 27 9 2004 9 27 9 2005 10 31 10 2006 12 33 11 2007 11 36 12 2008 13 38 13 2009 14 - -
  • 8. Comment according to the trend observed By watching the trend analysis from the graph, we can clearly depict that for the original data, minimum level of production has been recorded in the year 2003 which was 8 tonnes and the maximum level of production has been recorded in the year 2009 which was 14 tonnes. In the same way, by watching the trend analysis for 3 yearly moving average, we can depict that the minimum level of production has been recorded consistently for two years i.e. 2003 and 2004 which was 9 tonnes for both the years and the maximum level of production has been recorded in the year 2008 which was 13 tonnes. Comparison of the two Graphs (I: Graph from 1986 to 2009) (II: 3 Yearly m.a. graph from 2000 to 2009) If we compare the trend lines and trend analysis for both the graphs, we can clearly remark that if the company would have produced as per the 3 yearly m.a. graph, then it would have produced more in tones as compared to the production done by the company from years 1986 to 2009. REASON: As per the 3 yearly m.a. graph is concerned, it clearly shows that the trend line has shown rapid growth significantly both for 3 yearly m.a. as well as for original data.
  • 9. Bibliography On completing this case study successfully, I would like to thank my subject teacher Ma’am Neha who cleared all my doubts regarding the case study and for supporting me in every step of this case study and I would also like to thank my parents who were always there with me in every phase of the case study.