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Balbharati solutions for माठेमटिक्स अँड स्टॅटिस्टिक्स २ (कॉमर्स) [इंग्रजी] इयत्ता १२ महाराष्ट्र राज्य मंडळ chapter 4 - Time Series [Latest edition]

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Balbharati solutions for माठेमटिक्स अँड स्टॅटिस्टिक्स २ (कॉमर्स) [इंग्रजी] इयत्ता १२ महाराष्ट्र राज्य मंडळ chapter 4 - Time Series - Shaalaa.com
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Solutions for Chapter 4: Time Series

Below listed, you can find solutions for Chapter 4 of Maharashtra State Board Balbharati for माठेमटिक्स अँड स्टॅटिस्टिक्स २ (कॉमर्स) [इंग्रजी] इयत्ता १२ महाराष्ट्र राज्य मंडळ.


Exercise 4.1Miscellaneous Exercise 4
Exercise 4.1 [Pages 66 - 67]

Balbharati solutions for माठेमटिक्स अँड स्टॅटिस्टिक्स २ (कॉमर्स) [इंग्रजी] इयत्ता १२ महाराष्ट्र राज्य मंडळ 4 Time Series Exercise 4.1 [Pages 66 - 67]

1Page 66

The following data gives the production of bleaching powder (in '000 tons) for the years 1962 to 1972.

Year 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972
Production 0 0 1 1 4 2 4 9 7 10 8

Fit a trend line by graphical method to the above data.

2Page 66

Use the method of least squares to fit a trend line to the data in Problem 1 above. Also, obtain the trend value for the year 1975.

3Page 66

Obtain the trend line for the above data using 5 yearly moving averages.

4Page 66

The following table shows the index of industrial production for the period from 1976 to 1985, using the year 1976 as the base year.

Year 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985
Index 0 2 3 3 2 4 5 6 7 10

Fit a trend line to the above data by graphical method.

5Page 66

Fit a trend line to the data in Problem 4 above by the method of least squares. Also, obtain the trend value for the index of industrial production for the year 1987.

6Page 66

Obtain the trend values for the data in using 4-yearly centered moving averages.

Year 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985
Index 0 2 3 3 2 4 5 6 7 10
7Page 66

The following table gives the production of steel (in millions of tonnes) for years 1976 to 1986.

Year 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986
Production 0 4 4 2 6 8 5 9 4 10 10

Fit a trend line to the above data by the graphical method.

8Page 66

Fit a trend line to the data in Problem 7 by the method of least squares. Also, obtain the trend value for the year 1990.

9Page 66

Obtain the trend values for the above data using 3-yearly moving averages.

10Page 67

The following table shows the production of gasoline in U.S.A. for the years 1962 to 1976.

Year 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976
Production
(Million Barrels)
0 0 1 1 2 3 4 5 6 7 8 9 8 9 10

i. Obtain trend values for the above data using 5-yearly moving averages.
ii. Plot the original time series and trend values obtained above on the same graph.

Miscellaneous Exercise 4 [Pages 67 - 70]

Balbharati solutions for माठेमटिक्स अँड स्टॅटिस्टिक्स २ (कॉमर्स) [इंग्रजी] इयत्ता १२ महाराष्ट्र राज्य मंडळ 4 Time Series Miscellaneous Exercise 4 [Pages 67 - 70]

1.01Page 67

Choose the correct alternative :

Which of the following can’t be a component of a time series?

  • Seasonality

  • Cyclical

  • Trend

  • Mean

1.02Page 68

Choose the correct alternative :

The first step in time series analysis is to _______.

  • perform regression calculations

  • calculate a moving average

  • plot the data on a graph

  • identify seasonal variation

1.03Page 68

Choose the correct alternative :

Time-series analysis is based on the assumption that _______.

  • random error terms are normally distributed.

  • the variable to be forecast and other independent variables are correlated.

  • past patterns in the variable to be forecast will continue unchanged into the future.

  • the data do not exhibit a trend.

1.04Page 68

Moving averages are useful in identifying ______. 

  • Seasonal component

  • Irregular component

  • Trend component

  • Cyclical component

1.05Page 68

Choose the correct alternative :

We can use regression line for past data to forecast future data. We then use the line which_______.

  • minimizes the sum of squared deviations of past data from the line

  • minimizes the sum of deviations of past data from the line

  • maximizes the sum of squared deviations of past data from the line

  • maximizes the sum of deviations of past data from the line

1.06Page 68

Choose the correct alternative :

Which of the following is a major problem for forecasting, especially when using the method of least squares?

  • The past cannot be known.

  • The future is not entirely certain.

  • The future exactly follows the patterns of the past.

  • The future may not follow the patterns of the past.

1.07Page 68

An overall upward or downward pattern in an annual time series would be contained in which component of the times series?

  • Trend

  • Cyclical

  • Irregular

  • Seasonal

1.08Page 68

Choose the correct alternative :

The following trend line equation was developed for annual sales from 1984 to 1990 with 1984 as base or zero year. Y = 500 + 60X (in 1000 Rs). The estimated sales for 1984 (in 1000 Rs) is:

  • Rs 500

  • Rs 560

  • Rs 1,040

  • Rs 1,100

1.09Page 68

Choose the correct alternative :

What is a disadvantage of the graphical method of determining a trend line?

  • Provides quick approximations

  • Is subject to human error

  • Provides accurate forecasts

  • Is too difficult to calculate

1.10Page 68

Which component of time series refers to erratic time series movements that follow no recognizable or regular pattern?

  • Trend

  • Seasonal

  • Cyclical

  • Irregular

2.01Page 68

Fill in the blank :

_______ component of time series is indicated by a smooth line.

2.02Page 68

_______ component of time series is indicated by periodic variation year after year.

2.03Page 68

_______ component of time series is indicated by a long wave spanning two or more years.

2.04Page 68

Fill in the blank :

_______ component of time series is indicated by up and down movements without any pattern.

2.05Page 68

Fill in the blank :

Addictive models of time series _______ independence of its components.

2.06Page 68

Fill in the blank :

Multiplicative models of time series _______ independence of its components.

2.07Page 68

The simplest method of measuring trend of time series is ______.

2.08Page 68

Fill in the blank :

The method of measuring trend of time series using only averages is _______

2.09Page 69

Fill in the blank :

The complicated but efficient method of measuring trend of time series is _______.

2.10Page 69

Fill in the blank :

The graph of time series clearly shows _______of it is monotone.

3.01Page 69

State whether the following is True or False :

The secular trend component of time series represents irregular variations.

  • True

  • False

3.02Page 69

State whether the following is True or False :

Seasonal variation can be observed over several years.

  • True

  • False

3.03Page 69

Cyclical variation can occur several times in a year.

  • True

  • False

3.04Page 69

Irregular variation is not a random component of time series.

  • True

  • False

3.05Page 69

State whether the following is True or False :

Additive model of time series does not require the assumption of independence of its components.

  • True

  • False

3.06Page 69

State whether the following is True or False :

Multiplicative model of time series does not require the assumption of independence of its components.

  • True

  • False

3.07Page 69

State whether the following is True or False :

Graphical method of finding trend is very complicated and involves several calculations.

  • True

  • False

3.08Page 69

State whether the following is True or False :

Moving average method of finding trend is very complicated and involves several calculations.

  • True

  • False

3.09Page 69

State whether the following is True or False :

Least squares method of finding trend is very simple and does not involve any calculations.

  • True

  • False

3.10Page 69

State whether the following is True or False :

All the three methods of measuring trend will always give the same results.

  • True

  • False

4.01Page 69

Solve the following problem :

The following table shows the production of pig-iron and ferro- alloys (‘000 metric tonnes)

Year 1974 1975 1976 1977 1978 1979 1980 1981 1982
Production 0 4 9 9 8 5 4 8 10

Fit a trend line to the above data by graphical method.

4.02Page 69

Fit a trend line to the following data by the method of least squares.

Year 1974 1975 1976 1977 1978 1979 1980 1981 1982
Production 0 4 9 9 8 5 4 8 10
4.03Page 69

Solve the following problem :

Obtain trend values for the following data using 5-yearly moving averages.

Year 1974 1975 1976 1977 1978 1979 1980 1981 1982
Production 0 4 9 9 8 5 4 8 10
4.04Page 69

Solve the following problem :

Following table shows the amount of sugar production (in lac tonnes) for the years 1971 to 1982.

Year 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982
Production 1 0 1 2 3 2 3 6 5 1 4 10

Fit a trend line to the above data by graphical method.

4.05Page 69

Solve the following problem :

Fit a trend line to data in Problem 4 by the method of least squares.

4.06Page 69

Obtain trend values for the following data using 4-yearly centered moving averages.

Year 1971 1972 1973 1974 1975 1976
Production 1 0 1 2 3 2
Year 1977 1978 1979 1980 1981 1982
Production 3 6 5 1 4 10
4.07Page 69

Solve the following problem :

The percentage of girls’ enrollment in total enrollment for years 1960-2005 is shown in the following table.

Year 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005
Percentage 0 3 3 4 4 5 6 8 8 10

Fit a trend line to the above data by graphical method.

4.08Page 69

Solve the following problem :

Fit a trend line to the data in Problem 7 by the method of least squares.

4.09Page 69

Solve the following problem :

Obtain trend values for the data in Problem 7 using 4-yearly moving averages.

4.10Page 69

Following data shows the number of boxes of cereal sold in years 1977 to 1984.

Year 1977 1978 1979 1980 1981 1982 1983 1984
No. of boxes in ten thousand 1 0 3 8 10 4 5 8

Fit a trend line to the above data by graphical method.

4.11Page 70

Solve the following problem :

Fit a trend line to data by the method of least squares.

Year 1977 1978 1979 1980 1981 1982 1983 1984
Number of boxes (in ten thousands) 1 0 3 8 10 4 5 8
4.12Page 70

Solve the following problem :

Obtain trend values for data in Problem 10 using 3-yearly moving averages.

4.13Page 70

Solve the following problem :

Following table shows the number of traffic fatalities (in a state) resulting from drunken driving for years 1975 to 1983.

Year 1975 1976 1977 1978 1979 1980 1981 1982 1983
No. of deaths 0 6 3 8 2 9 4 5 10

Fit a trend line to the above data by graphical method.

4.14Page 70

Solve the following problem :

Fit a trend line to data in Problem 13 by the method of least squares.

4.15Page 70

Solve the following problem :

Obtain trend values for data in Problem 13 using 4-yearly moving averages.

4.16Page 70

Solve the following problem :

Following table shows the all India infant mortality rates (per ‘000) for years 1980 to 2010.

Year 1980 1985 1990 1995 2000 2005 2010
IMR 10 7 5 4 3 1 0

Fit a trend line to the above data by graphical method.

4.17Page 70

Solve the following problem :

Fit a trend line to data in Problem 16 by the method of least squares.

4.18Page 70

Solve the following problem :

Obtain trend values for data in Problem 16 using 3-yearly moving averages.

4.19Page 70

Solve the following problem :

Following tables shows the wheat yield (‘000 tonnes) in India for years 1959 to 1968.

Year 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968
Yield 0 1 2 3 1 0 4 1 2 10

Fit a trend line to the above data by the method of least squares.

4.20Page 70

Obtain trend values for data in Problem 19 using 3-yearly moving averages.

Solutions for 4: Time Series

Exercise 4.1Miscellaneous Exercise 4
Balbharati solutions for माठेमटिक्स अँड स्टॅटिस्टिक्स २ (कॉमर्स) [इंग्रजी] इयत्ता १२ महाराष्ट्र राज्य मंडळ chapter 4 - Time Series - Shaalaa.com

Balbharati solutions for माठेमटिक्स अँड स्टॅटिस्टिक्स २ (कॉमर्स) [इंग्रजी] इयत्ता १२ महाराष्ट्र राज्य मंडळ chapter 4 - Time Series

Shaalaa.com has the Maharashtra State Board Mathematics माठेमटिक्स अँड स्टॅटिस्टिक्स २ (कॉमर्स) [इंग्रजी] इयत्ता १२ महाराष्ट्र राज्य मंडळ Maharashtra State Board solutions in a manner that help students grasp basic concepts better and faster. The detailed, step-by-step solutions will help you understand the concepts better and clarify any confusion. Balbharati solutions for Mathematics माठेमटिक्स अँड स्टॅटिस्टिक्स २ (कॉमर्स) [इंग्रजी] इयत्ता १२ महाराष्ट्र राज्य मंडळ Maharashtra State Board 4 (Time Series) include all questions with answers and detailed explanations. This will clear students' doubts about questions and improve their application skills while preparing for board exams.

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