GSEB Class 12 Statistics Solutions Chapter 4 Time Series Exercise 4.3

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Detailed Chapter 04 Time Series GSEB Solutions for Class 12 Statistics

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Class 12 Statistics Chapter 04 Time Series GSEB Solutions PDF

GSEB Solutions

Gseb Solutions Class 12 Statistics Part 1 Chapter 4 Time Series Exercise 4.3

Gujarat Board Textbook Solutions Class 12 Statistics Part 1 Chapter 4 Time Series Exercise 4.3

 

Question 1. Find the trend by three yearly moving averages from the following data about the sales (in ten lakh Rs.) of a company:
Answer: For this problem, the total number of periods (n) is 10. The time variable (t) will take values from 1, 2, 3, up to 10. The variable 'y' represents the sales figures.

In simple words: To find the sales trend, we calculate the average sales over three consecutive years. This helps to smooth out short-term ups and downs, showing the general direction of sales over time.

YearSales (ten lakh Rs.)
20063
20074
20088
20096
20107
201111
20129
201310
201414
201512

The table for calculating three yearly moving average is prepared as follows:

YearTime tSales (ten lakh Rs.) yThree yearly moving totalThree yearly moving average Trend
200613--
2007243+4+8= 15\( \frac{15}{3} = 5 \)
20083815-3+6= 18\( \frac{18}{3} = 6 \)
20094618-4+7= 21\( \frac{21}{3} = 7 \)
20105721-8+11 = 24\( \frac{24}{3} = 8 \)
201161124-6+9 = 27\( \frac{27}{3} = 9 \)
20127927-7+10 = 30\( \frac{30}{3} = 10 \)
201381030-11+14 = 33\( \frac{33}{3} = 11 \)
201491433-9+12 = 36\( \frac{36}{3} = 12 \)
20151012--

🎯 Exam Tip: Ensure correct calculation of the moving total and precise division for the moving average. Pay attention to centering the average for odd-period moving averages.

 

Question 2. The average monthly closing prices of shares of a company in the year 2016 are given in the following table. Find the trend using four monthly moving averages.
Answer: For this problem, 'n' represents 12 months in total. The time variable 't' will run from 1, 2, 3, up to 12. The variable 'y' corresponds to the share price.

In simple words: To find the trend in share prices using four-monthly moving averages, we first calculate the total of prices for four consecutive months. Then, we sum these totals in pairs and divide by eight to get a centered moving average, which helps smooth out monthly fluctuations.

MonthJanuaryFebruaryMarchAprilMayJuneJulyAugustSept.Oct.Nov.Dec.
Share price (Rs.)253231350261262266263261281278278272

To calculate four monthly moving average, the table is prepared as follows:

MonthTime tShare price (Rs.) yFour monthly moving totalTotal of pairs of four monthly moving totalFour monthly moving average Trend \( \left( \frac{\text{Total of pairs}}{8} \right) \)
January1253---
February2231---
March3350253+231+350+261 = 1095--
April42611095-253+262 = 11041095+1104 = 2199\( \frac{2199}{8} = 274.88 \)
May52621104-231+266 = 11391104+1139 = 2243\( \frac{2243}{8} = 280.38 \)
June62661139-350+263 = 10521139+1052 = 2191\( \frac{2191}{8} = 273.88 \)
July72631052-261+261 = 10521052+1052 = 2104\( \frac{2104}{8} = 263 \)
August82611052-262+281 = 10711052+1071 = 2123\( \frac{2123}{8} = 265.38 \)
September92811071-266+278 = 10831071+1083 = 2154\( \frac{2154}{8} = 269.25 \)
October102781083-263+278 = 10981083+1098 = 2181\( \frac{2181}{8} = 272.63 \)
November112781098-261+272 = 11091098+1109 = 2207\( \frac{2207}{8} = 275.88 \)
December12272---

🎯 Exam Tip: For even-period moving averages, remember to center the moving total by taking a two-period average of the moving totals and then dividing by the total number of periods (e.g., 4x2=8 for four-monthly data).

 

Question 3. Find the trend using five yearly moving averages from the following data of profit (in lakh Rs.) of a trader in different years:
Answer: For this scenario, the total number of years ('n') is 9. The time periods ('t') will range from 1, 2, ..., up to 9. The variable 'y' represents the profit figures.

In simple words: To determine the profit trend, we calculate the average profit over five consecutive years. This method helps to smooth out yearly variations and reveal the underlying long-term movement of the trader's profits.

Year200720082009201020112012201320142015
Profit (lakh Rs.)151418201724272523

To calculate five yearly moving average the table is prepared as follows:

YearTime tProfit (lakh Rs.) yFive yearly moving totalFive yearly moving average Trend
2007115--
2008214--
200931815+14+18+20+17 = 84\( \frac{84}{5} = 16.8 \)
201042084-15+24 = 93\( \frac{93}{5} = 18.6 \)
201151793-14+27 = 106\( \frac{106}{5} = 21.2 \)
2012624106-18+25 = 113\( \frac{113}{5} = 22.6 \)
2013727113-20+23 = 116\( \frac{116}{5} = 23.2 \)
2014825--
2015923--

🎯 Exam Tip: Remember to center the moving average values correctly, especially for odd-period averages, aligning them with the middle year of the period. Be careful with calculations for each step.

 

Question 4. The wholesale price index numbers for different quarters (9) of a year are obtained as follows. Find the trend by four quarterly moving averages.
Answer: In this problem, we have 12 quarters, with each quarter covering a period of three months. The variable 'y' represents the index number. Since there are four quarters in a year, we need to calculate the trend by using a four-quarterly moving average method.

In simple words: To find the trend in wholesale price index numbers, we use a four-quarterly moving average. This involves calculating the sum of index numbers for four consecutive quarters, then pairing these sums, and finally dividing by eight to get a smoothed trend value.

Year201320142015
Q1Q2Q3Q4Q1Q2Q3Q4Q1Q2Q3Q4
Index No.110110125135145152155168131124132153

The table for calculating four quarterly moving average is prepared as follows:

QuartersTime tIndex number yFour quarterly moving totalTotal of pairs of four quarterly moving totalFour quarterly moving average Trend \( \left( \frac{\text{Total of pairs}}{8} \right) \)
Year 2013 Q11110---
Q22110---
Q33125110+110+125+135 = 480--
Q44135480-110+145 = 515480+515 = 995\( \frac{995}{8} = 124.38 \)
Year 2014 Q15145515-110+152 = 557515+557 = 1072\( \frac{1072}{8} = 134 \)
Q26152557-125+155 = 587557+587 = 1144\( \frac{1144}{8} = 143 \)
Q37155587-135+168 = 620587+620 = 1207\( \frac{1207}{8} = 150.88 \)
Q48168620-145+131 = 606620+606 = 1226\( \frac{1226}{8} = 153.25 \)
Year 2015 Q19131606-152+124 = 578606+578 = 1184\( \frac{1184}{8} = 148 \)
Q210124578-155+132 = 555578+555 = 1133\( \frac{1133}{8} = 141.63 \)
Q311132555-168+153 = 540555+540 = 1095\( \frac{1095}{8} = 136.88 \)
Q412153---

🎯 Exam Tip: When dealing with quarterly data for even-period moving averages, ensure correct centering by calculating the average of two consecutive moving totals before dividing by the total number of periods (e.g., 4x2=8). Label your columns clearly for easy understanding.

Free study material for Statistics

GSEB Solutions Class 12 Statistics Chapter 04 Time Series

Students can now access the GSEB Solutions for Chapter 04 Time Series prepared by teachers on our website. These solutions cover all questions in exercise in your Class 12 Statistics textbook. Each answer is updated based on the current academic session as per the latest GSEB syllabus.

Detailed Explanations for Chapter 04 Time Series

Our expert teachers have provided step-by-step explanations for all the difficult questions in the Class 12 Statistics chapter. Along with the final answers, we have also explained the concept behind it to help you build stronger understanding of each topic. This will be really helpful for Class 12 students who want to understand both theoretical and practical questions. By studying these GSEB Questions and Answers your basic concepts will improve a lot.

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