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2: Integral Calculus – 1
3: Integral Calculus – 2
4: Differential Equations
5: Numerical Methods
6: Random Variable and Mathematical expectation
7: Probability Distributions
8: Sampling techniques and Statistical Inference
▶ 9: Applied Statistics
10: Operations Research
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Solutions for Chapter 9: Applied Statistics
Below listed, you can find solutions for Chapter 9 of Tamil Nadu Board of Secondary Education Samacheer Kalvi for Business Mathematics and Statistics [English] Class 12 TN Board.
Samacheer Kalvi solutions for Business Mathematics and Statistics [English] Class 12 TN Board 9 Applied Statistics Exercise 9.1 [Pages 209 - 211]
Define Time series
What is the need for studying time series?
State the uses of time series
Mention the components of the time series
Define secular trend
Write a brief note on seasonal variations
Explain cyclic variations
Discuss about irregular variation
Define seasonal index
Explain the method of fitting a straight line
State the two normal equations used in fitting a straight line
State the different methods of measuring trend
Compute the average seasonal movement for the following series
Year | Quarterly Production | |||
I | II | III | IV | |
2002 | 3.5 | 3.8 | 3.7 | 3.5 |
2203 | 3.6 | 4.2 | 3. | 4.1 |
2004 | 3.4 | 3.9 | 37 | 4.2 |
2005 | 4.2 | 4.5 | 3 | 4.4 |
2006 | 3.9 | 4.4 | 4.2 | 4.6 |
The following figures relates to the profits of a commercial concern for 8 years
Year | Profit (₹) |
1986 | 15,420 |
1987 | 15,470 |
1988 | 15,520 |
1989 | 21,020 |
1990 | 26,500 |
1991 | 31,950 |
1992 | 35,600 |
1993 | 34,900 |
Find the trend of profits by the method of three yearly moving averages
Find the trend of production by the method of a five-yearly period of moving average for the following data:
Year | Production ('000) |
1979 | 126 |
1980 | 123 |
1981 | 117 |
1982 | 128 |
1983 | 125 |
1984 | 124 |
1985 | 130 |
1986 | 114 |
1987 | 122 |
1988 | 129 |
1989 | 118 |
1990 | 123 |
The following table gives the number of small-scale units registered with the Directorate of Industries between 1985 and 1991. Show the growth on a trend line by the free hand method.
Year | No. of units (in '000) |
195 | 10 |
986 | 22 |
1987 | 36 |
198 | 62 |
1989 | 55 |
1990 | 0 |
1991 | 34 |
1992 | 50 |
The annual production of a commodity is given as follows:
Year | production (in tones) |
1995 | 155 |
1996 | 162 |
1997 | 171 |
19988 | 182 |
1999 | 158 |
2000 | 880 |
2001 | 178 |
Fit a straight line trend by the method of least squares
Determine the equation of a straight line which best fits the following data
Year | 2000 | 2001 | 2002 | 2003 | 2004 |
Sales (₹ '000) | 35 | 36 | 79 | 80 | 40 |
Compute the trend values for all years from 2000 to 2004
The sales of a commodity in tones varied from January 2010 to December 2010 as follows:
In Year 2010 | Sales (in tones) |
Jan | 280 |
Feb | 240 |
Mar | 270 |
Apr | 300 |
May | 280 |
Jun | 290 |
Jul | 210 |
Aug | 200 |
Sep | 230 |
Oct | 200 |
Nov | 230 |
Dec | 210 |
Fit a trend line by the method of semi-average
Use the method of monthly averages to find the monthly indices for the following data of production of a commodity for the years 2002, 2003 and 2004
2002 | 2003 | 2004 |
15 | 20 | 18 |
18 | 18 | 25 |
17 | 16 | 21 |
19 | 13 | 11 |
16 | 12 | 14 |
20 | 15 | 16 |
21 | 22 | 19 |
18 | 16 | 20 |
17 | 18 | 1 |
15 | 20 | 16 |
14 | 17 | 18 |
18 | 15 | 20 |
Calculate the seasonal indices from the following data using the average method:
Year | I Quarter | II Quarter | III Quarter | IV Quarter |
2008 | 72 | 68 | 62 | 76 |
2009 | 78 | 74 | 78 | 72 |
2010 | 74 | 70 | 72 | 76 |
2011 | 76 | 74 | 74 | 72 |
2012 | 72 | 72 | 76 | 68 |
The following table shows the number of salesmen working for a certain concern:
Year | 1992 | 1993 | 1994 | 1995 | 1996 |
No. of salesman |
46 | 48 | 42 | 56 | 52 |
Use the method of least squares to fit a straight line and estimate the number of salesmen in 1997
Samacheer Kalvi solutions for Business Mathematics and Statistics [English] Class 12 TN Board 9 Applied Statistics Exercise 9.2 [Pages 219 - 221]
Define Index Number
State the uses of Index Number
Mention the classification of Index Number
Define Laspeyre’s price index number
Explain Paasche’s price index number
Write note on Fisher’s price index number
State the test of adequacy of index number
Define Time Reversal Test
Explain factor reversal test
Define true value ratio
Discuss about Cost of Living Index Number
Define family budget method
State the uses of cost of Living Index Number
Calculate by a suitable method, the index number of price from the following data:
Commodity | 2002 | 2012 | ||
Price | Quantity | Price | Quantity | |
A | 10 | 20 | 16 | 10 |
B | 12 | 34 | 18 | 42 |
C | 15 | 30 | 20 | 26 |
Calculate price index number for 2005 by (a) Laspeyre’s (b) Paasche’s method
Commodity | 1995 | 2005 | ||
Price | Quantity | Price | Quantity | |
A | 5 | 60 | 15 | 70 |
B | 4 | 20 | 8 | 35 |
C | 3 | 15 | 6 | 20 |
Compute (i) Laspeyre’s (ii) Paasche’s (iii) Fisher’s Index numbers for the 2010 from the following data.
Commodity | Price | Quantity | ||
2000 | 2010 | 2000 | 2010 | |
A | 12 | 14 | 18 | 16 |
B | 15 | 16 | 20 | 15 |
C | 14 | 15 | 24 | 20 |
D | 12 | 12 | 29 | 23 |
Using the following data, construct Fisher’s Ideal index and show how it satisfies Factor Reversal Test and Time Reversal Test?
Commodity | Price in Rupees per unit | Number of units | ||
Basic year | Current year | Base year | Current year | |
A | 6 | 10 | 50 | 56 |
B | 2 | 2 | 100 | 120 |
C | 4 | 6 | 60 | 60 |
D | 10 | 12 | 50 | 24 |
E | 8 | 12 | 40 | 36 |
Using Fisher’s Ideal Formula, compute price index number for 1999 with 1996 as base year, given the following:
Year | Commodity: A | Commodity: B | Commodity: C | |||
Price (Rs.) | Quantity (kg) | Price (Rs.) | Quantity (kg) | Price (Rs.) | Quantity (kg) | |
1996 | 5 | 10 | 8 | 6 | 6 | 3 |
1999 | 4 | 12 | 7 | 7 | 5 | 4 |
Calculate Fisher’s index number to the following data. Also show that it satisfies Time Reversal Test.
Commodity | 2016 | 2017 | ||
Price (Rs.) | Quantity (kg) | Price (Rs.) | Quantity (kg) | |
Food | 40 | 12 | 65 | 14 |
Fuel | 72 | 14 | 78 | 20 |
Clothing | 36 | 10 | 36 | 15 |
Wheat | 20 | 6 | 42 | 4 |
Others | 46 | 8 | 52 | 6 |
The following are the group index numbers and the group weights of an average working class family’s budget. Construct the cost of living index number:
Groups | Food | Fuel and Lighting |
Clothing | Rent | Miscellaneous |
Index Number | 2450 | 1240 | 3250 | 3750 | 4190 |
Weight | 48 | 20 | 12 | 15 | 10 |
Construct the cost of living Index number for 2015 on the basis of 2012 from the following data using family budget method.
Commodity | Price | Weights | |
2012 | 2015 | ||
Rice | 250 | 280 | 10 |
Wheat | 70 | 85 | 5 |
Corn | 150 | 170 | 6 |
Oil | 25 | 35 | 4 |
Dhal | 85 | 90 | 3 |
Calculate the cost of living index by aggregate expenditure method:
Commodity | Weight 2010 |
Price (Rs.) | |
2010 | 2015 | ||
P | 80 | 22 | 25 |
Q | 30 | 30 | 45 |
R | 25 | 42 | 50 |
S | 40 | 25 | 35 |
T | 50 | 36 | 52 |
Samacheer Kalvi solutions for Business Mathematics and Statistics [English] Class 12 TN Board 9 Applied Statistics Exercise 9.3 [Pages 226 - 228]
Define Statistical Quality Control
Mention the types of causes for variation in a production process
Define chance cause
Define assignable cause
What do you mean by product control?
What do you mean by process control?
Define a control chart
Name the control charts for variables
Define the mean chart
Define R chart
What are the uses of statistical quality control?
Write the control limits for the mean chart
Write the control limits for the R chart
A machine is set to deliver packets of a given weight. Ten samples of size five each were recorded. Below are given relevant data:
Sample number | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
`bar"X"` | 15 | 17 | 15 | 18 | 17 | 14 | 18 | 15 | 1 | 16 |
R | 7 | 7 | 4 | 9 | 8 | 7 | 12 | 4 | 11 | 5 |
Calculate the control limits for mean chart and the range chart and then comment on the state of control, (conversion factors for n = 5, A2 = 0.58, D3 = 0 and D4 = 2.115)
Ten samples each of size five are drawn at regular intervals from a manufacturing process. The sample means `(bar"X")` and their ranges (R) are given below:
Sample number | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
`bar"X"` | 49 | 45 | 48 | 53 | 39 | 47 | 46 | 39 | 51 | 45 |
R | 7 | 5 | 7 | 9 | 5 | 8 | 8 | 6 | 7 | 6 |
Calculate the control limits in respect of `bar"X"` chart. (Given A2 = 0.58, D3 = 0 and D4 = 2.115) Comment on the state of control
Construct `bar"X"` and R charts for the following data:
Sample Number | Observations | ||
1 | 32 | 36 | 42 |
2 | 28 | 32 | 40 |
3 | 39 | 52 | 28 |
4 | 50 | 42 | 31 |
5 | 42 | 45 | 34 |
6 | 50 | 29 | 21 |
7 | 44 | 52 | 35 |
8 | 22 | 35 | 44 |
(Given for n = 3, A2 = 1.023, D3 = 0 and D4 = 2.574)
The following data show the values of sample mean `(bar"X")` and its range (R) for the samples of size five each. Calculate the values for control limits for mean, range chart and determine whether the process is in control.
Sample Number | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
Mean | 11.2 | 11.8 | 10.8 | 11.6 | 11.0 | 9.6 | 10.4 | 9.6 | 10.6 | 10.0 |
Range | 7 | 4 | 8 | 5 | 7 | 4 | 8 | 4 | 7 | 9 |
(conversion factors for n = 5, A2 = 0.58, D3 = 0 and D4 = 2.115)
A quality control inspector has taken ten ” samples of size four packets each from a potato chips company. The contents of the sample are given below, Calculate the control limits for mean and range chart.
Sample Number | Observations | |||
1 | 2 | 3 | 4 | |
1 | 12.5 | 12.3 | 12.6 | 12.7 |
2 | 12.8 | 12.4 | 12.4 | 12.8 |
3 | 12.1 | 12.6 | 12.5 | 12.4 |
4 | 12.2 | 12.6 | 12.5 | 12.3 |
5 | 12.4 | 12.5 | 12.5 | 12.5 |
6 | 12.3 | 12.4 | 12.6 | 12.6 |
7 | 12.6 | 12.7 | 12.5 | 12.8 |
8 | 12.4 | 12.3 | 12.6 | 12.5 |
9 | 12.6 | 12.5 | 12.3 | 12.6 |
10 | 12.1 | 12.7 | 12.5 | 12.8 |
(Given for n = 5, A2 = 0.58, D3 = 0 and D4 = 2.115)
The following data show the values of sample means and the ranges for ten samples of size 4 each. Construct the control chart for mean and range chart and determine whether the process is in control.
Sample Number | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
`bar"X"` | 29 | 26 | 37 | 34 | 14 | 45 | 39 | 20 | 34 | 23 |
R | 39 | 10 | 39 | 17 | 12 | 20 | 05 | 21 | 23 | 15 |
In a production process, eight samples of size 4 are collected and their means and ranges are given below. Construct mean chart and range chart with control limits.
Samples number | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
`bar"X"` | 12 | 13 | 11 | 12 | 14 | 13 | 16 | 15 |
R | 2 | 5 | 4 | 2 | 3 | 2 | 4 | 3 |
In a certain bottling industry the quality control inspector recorded the weight of each of the 5 bottles selected at random during each hour of four hours in the morning.
Time | Weight in ml | ||||
8:00 AM | 43 | 41 | 42 | 43 | 41 |
9:00 AM | 40 | 39 | 40 | 39 | 44 |
10:00 AM | 42 | 42 | 43 | 38 | 40 |
11:00 AM | 39 | 43 | 40 | 39 | 42 |
Samacheer Kalvi solutions for Business Mathematics and Statistics [English] Class 12 TN Board 9 Applied Statistics Exercise 9.4 [Pages 229 - 230]
MCQ
Choose the correct alternative:
A time series is a set of data recorded
Periodically
Weekly
Successive points of time
All the above
Choose the correct alternative:
A time series consists of
Five components
Four components
Three components
Two components
Choose the correct alternative:
The components of a time series which is attached to short term fluctuation is
Secular trend
Seasonal variations
Cyclic variation
Irregular variation
Choose the correct alternative:
Factors responsible for seasonal variations are
Weather
Festivals
Social customs
All the above
Choose the correct alternative:
The additive model of the time series with the components T, S, C and I is
y = T + S + C × I
y = T + S × C × I
y = T + S + C + I
y = T + S × C + I
Choose the correct alternative:
Least square method of fitting a trend is
Most exact
Least exact
Full of subjectivity
Mathematically unsolved
Choose the correct alternative:
The value of ‘b’ in the trend line y = a + bx is
Always positive
Always negative
Either positive or negative
Zero
Choose the correct alternative:
The component of a time series attached to long term variation is trended as
Cyclic variation
Secular variations
Irregular variation
Seasonal variations
Choose the correct alternative:
The seasonal variation means the variations occurring with in
A number of years
within a year
within a month
within a week
Choose the correct alternative:
Another name of consumer’s price index number is:
Whole-sale price index number
Cost of living index
Sensitive
Composite
Choose the correct alternative:
Cost of living at two different cities can be compared with the help of
Consumer price index
Value index
Volume index
Un-weighted index
Choose the correct alternative:
Laspeyre’s index = 110, Paasche’s index = 108, then Fisher’s Ideal index is equal to:
110
108
100
109
Choose the correct alternative:
Most commonly used index number is:
Volume index number
Value index number
Price index number
Simple index number
Choose the correct alternative:
Consumer price index are obtained by:
Paasche’s formula
Fisher’s ideal formula
Marshall Edgeworth formula
Family budget method formula
Choose the correct alternative:
Which of the following Index number satisfy the time reversal test?
Laspeyre’s Index number
Paasche’s Index number
Fisher Index number
All of them
Choose the correct alternative:
While computing a weighted index, the current period quantities are used in the:
Laspeyre’s method
Paasche’s method
Marshall Edgeworth method
Fisher’s ideal method
Choose the correct alternative:
The quantities that can be numerically measured can be plotted on a
p – chart
c – chart
x bar chart
np – chart
Choose the correct alternative:
How many causes of variation will affect the quality of a product?
4
3
2
1
Choose the correct alternative:
Variations due to natural disorder is known as
random cause
non-random cause
human cause
all of them
Choose the correct alternative:
The assignable causes can occur due to
poor raw materials
unskilled labour
faulty machines
all of them
Choose the correct alternative:
A typical control charts consists of
CL, UCL
CL, LCL
CL, LCL, UCL
UCL, LCL
Choose the correct alternative:
`bar"X"` chart is a
attribute control chart
variable control chart
neither Attribute nor variable control chart
both Attribute and variable control chart
Choose the correct alternative:
R is calculated using
xmax – xmin
xmin – xmax
`bar"X"_"max" - bar"X"_"min"`
`\overset{==}{"X"}_"max" - \overset{==}{"X"}_"min"`
Choose the correct alternative:
The upper control limit for `bar"X"` chart is given by
`bar"X" + "A"_2bar"R"`
`\overset{==}{"X"} + "A"_2 "R"`
`\overset{==}{"X"} + "A"_2 bar"R"`
`\overset{==}{"X"} + "A"_2 overset{==}{"R"}`
Choose the correct alternative:
The LCL for R chart is given by
`"D"_2bar"R"`
`"D"_2\overset{==}{"R"}`
`"D"_3\overset{==}{"R"}`
`"D"_3bar"R"`
Samacheer Kalvi solutions for Business Mathematics and Statistics [English] Class 12 TN Board 9 Applied Statistics Miscellaneous problems [Pages 231 - 233]
Using three yearly moving averages, Determine the trend values from the following data.
Year | Profit | Year | Profit |
2001 | 142 | 2007 | 241 |
2002 | 148 | 2008 | 263 |
2003 | 154 | 2009 | 280 |
2004 | 146 | 2010 | 302 |
2005 | 157 | 2011 | 326 |
2006 | 202 | 2012 | 353 |
From the following data, calculate the trend values using fourly moving averages.
Year | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 |
Sales | 506 | 620 | 1036 | 673 | 588 | 696 | 1116 | 738 | 663 |
Fit a straight line trend by the method of least squares to the following data
Year | 1980 | 1981 | 1982 | 1983 | 1984 | 1985 | 1986 | 1987 |
Sales | 50.3 | 52.7 | 49.3 | 57.3 | 56.8 | 60.7 | 62.1 | 58.7 |
Calculate the Laspeyre’s, Paasche’s and Fisher’s price index number for the following data. Interpret on the data.
Commodities | Base Year | Current Year | ||
Price | Quantity | Price | Quantity | |
A | 170 | 562 | 72 | 632 |
B | 192 | 535 | 70 | 756 |
C | 195 | 639 | 95 | 926 |
D | 1987 | 128 | 92 | 255 |
E | 1985 | 542 | 92 | 632 |
F | 150 | 217 | 180 | 314 |
7 | 12.6 | 12.7 | 12.5 | 12.8 |
8 | 12.4 | 12.3 | 12.6 | 12.5 |
9 | 12.6 | 12.5 | 12.3 | 12.6 |
10 | 12.1 | 12.7 | 12.5 | 12.8 |
Using the following data, construct Fisher’s Ideal Index Number and Show that it satisfies Factor Reversal Test and Time Reversal Test?
Commodities | Price | Quantity | ||
Base Year | Current Year | Base Year | Current Year | |
Wheat | 6 | 10 | 50 | 56 |
Ghee | 2 | 2 | 100 | 120 |
Firewood | 4 | 6 | 60 | 60 |
Sugar | 10 | 12 | 30 | 24 |
Cloth | 8 | 12 | 40 | 36 |
Compute the consumer price index for 2015 on the basis of 2014 from the following data.
Commodities | Quantities | Prices in 2015 | Prices in 2016 |
A | 6 | 5.75 | 6.00 |
B | 6 | 5.00 | 8.00 |
C | 1 | 6.00 | 9.00 |
D | 6 | 8.00 | 10.00 |
E | 4 | 2.00 | 1.50 |
F | 1 | 20.00 | 15.00 |
An Enquiry was made into the budgets of the middle class families in a city gave the following information.
Expenditure | Food | Rent | Clothing | Fuel | Rice |
Price(2010) | 150 | 50 | 100 | 20 | 60 |
Price(2011) | 174 | 60 | 125 | 25 | 90 |
Weights | 35 | 15 | 20 | 10 | 20 |
What changes in the cost of living have taken place in the middle class families of a city?
From the following data, calculate the control limits for the mean and range chart.
Sample No. | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
Sample Observations |
50 | 21 | 50 | 48 | 46 | 55 | 45 | 50 | 47 | 56 |
55 | 50 | 53 | 53 | 50 | 51 | 48 | 56 | 53 | 53 | |
52 | 53 | 48 | 50 | 44 | 56 | 53 | 54 | 549 | 55 | |
49 | 50 | 52 | 51 | 48 | 47 | 48 | 53 | 52 | 54 | |
54 | 46 | 47 | 53 | 47 | 51 | 51 | 47 | 54 | 52 |
The following data gives the average life(in hours) and range of 12 samples of 5lamps each. The data are
Sample No | 1 | 2 | 3 | 4 | 5 | 6 |
Sample Mean | 1080 | 1390 | 1460 | 1380 | 1230 | 1370 |
Sample Range | 410 | 670 | 180 | 320 | 690 | 450 |
Sample No | 7 | 8 | 9 | 10 | 11 | 12 |
Sample Mean | 1310 | 1630 | 1580 | 1510 | 1270 | 1200 |
Sample Range | 380 | 350 | 270 | 660 | 440 | 310 |
Construct control charts for mean and range. Comment on the control limits.
The following are the sample means and I ranges for 10 samples, each of size 5. Calculate; the control limits for the mean chart and range chart and state whether the process is in control or not.
Sample Number | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
Mean | 5.10 | 4.98 | 5.02 | 4.96 | 4.96 | 5.04 | 4.94 | 4.92 | 4.92 | 4.98 |
Range | 0.3 | 0.4 | 0.2 | 0.4 | 0.1 | 0.1 | 0.8 | 0.5 | 0.3 | 0.5 |
Solutions for 9: Applied Statistics
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Samacheer Kalvi solutions for Business Mathematics and Statistics [English] Class 12 TN Board chapter 9 - Applied Statistics
Shaalaa.com has the Tamil Nadu Board of Secondary Education Mathematics Business Mathematics and Statistics [English] Class 12 TN Board Tamil Nadu Board of Secondary Education 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. Samacheer Kalvi solutions for Mathematics Business Mathematics and Statistics [English] Class 12 TN Board Tamil Nadu Board of Secondary Education 9 (Applied Statistics) 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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Concepts covered in Business Mathematics and Statistics [English] Class 12 TN Board chapter 9 Applied Statistics are Time Series Analysis, Index Numbers, Statistical Quality Control (SQC).
Using Samacheer Kalvi Business Mathematics and Statistics [English] Class 12 TN Board solutions Applied Statistics exercise by students is an easy way to prepare for the exams, as they involve solutions arranged chapter-wise and also page-wise. The questions involved in Samacheer Kalvi Solutions are essential questions that can be asked in the final exam. Maximum Tamil Nadu Board of Secondary Education Business Mathematics and Statistics [English] Class 12 TN Board students prefer Samacheer Kalvi Textbook Solutions to score more in exams.
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