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Samacheer Kalvi solutions for Business Mathematics and Statistics [English] Class 12 TN Board chapter 9 - Applied Statistics [Latest edition]

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Samacheer Kalvi solutions for Business Mathematics and Statistics [English] Class 12 TN Board chapter 9 - Applied Statistics - Shaalaa.com
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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.


Exercise 9.1Exercise 9.2Exercise 9.3Exercise 9.4Miscellaneous problems
Exercise 9.1 [Pages 209 - 211]

Samacheer Kalvi solutions for Business Mathematics and Statistics [English] Class 12 TN Board 9 Applied Statistics Exercise 9.1 [Pages 209 - 211]

Exercise 9.1 | Q 1 | Page 209

Define Time series

Exercise 9.1 | Q 2 | Page 209

What is the need for studying time series?

Exercise 9.1 | Q 3 | Page 209

State the uses of time series

Exercise 9.1 | Q 4 | Page 209

Mention the components of the time series

Exercise 9.1 | Q 5 | Page 209

Define secular trend

Exercise 9.1 | Q 6 | Page 209

Write a brief note on seasonal variations

Exercise 9.1 | Q 7 | Page 209

Explain cyclic variations

Exercise 9.1 | Q 8 | Page 209

Discuss about irregular variation

Exercise 9.1 | Q 9 | Page 209

Define seasonal index

Exercise 9.1 | Q 10 | Page 209

Explain the method of fitting a straight line

Exercise 9.1 | Q 11 | Page 209

State the two normal equations used in fitting a straight line

Exercise 9.1 | Q 12 | Page 209

State the different methods of measuring trend

Exercise 9.1 | Q 13 | Page 209

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
Exercise 9.1 | Q 14 | Page 209

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

Exercise 9.1 | Q 15 | Page 209

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
Exercise 9.1 | Q 16 | Page 210

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
Exercise 9.1 | Q 17 | Page 210

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

Exercise 9.1 | Q 18 | Page 210

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

Exercise 9.1 | Q 19 | Page 210

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

Exercise 9.1 | Q 20 | Page 210

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
Exercise 9.1 | Q 21 | Page 211

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
Exercise 9.1 | Q 22 | Page 211

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

Exercise 9.2 [Pages 219 - 221]

Samacheer Kalvi solutions for Business Mathematics and Statistics [English] Class 12 TN Board 9 Applied Statistics Exercise 9.2 [Pages 219 - 221]

Exercise 9.2 | Q 1 | Page 219

Define Index Number

Exercise 9.2 | Q 2 | Page 219

State the uses of Index Number

Exercise 9.2 | Q 3 | Page 219

Mention the classification of Index Number

Exercise 9.2 | Q 4 | Page 219

Define Laspeyre’s price index number

Exercise 9.2 | Q 5 | Page 219

Explain Paasche’s price index number

Exercise 9.2 | Q 6 | Page 219

Write note on Fisher’s price index number

Exercise 9.2 | Q 7 | Page 219

State the test of adequacy of index number

Exercise 9.2 | Q 8 | Page 219

Define Time Reversal Test

Exercise 9.2 | Q 9 | Page 219

Explain factor reversal test

Exercise 9.2 | Q 10 | Page 219

Define true value ratio

Exercise 9.2 | Q 11 | Page 219

Discuss about Cost of Living Index Number

Exercise 9.2 | Q 12 | Page 219

Define family budget method

Exercise 9.2 | Q 13 | Page 219

State the uses of cost of Living Index Number

Exercise 9.2 | Q 14 | Page 219

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
Exercise 9.2 | Q 15 | Page 219

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
Exercise 9.2 | Q 16 | Page 219

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
Exercise 9.2 | Q 17 | Page 220

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
Exercise 9.2 | Q 18 | Page 220

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
Exercise 9.2 | Q 19 | Page 220

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
Exercise 9.2 | Q 20 | Page 220

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
Exercise 9.2 | Q 21 | Page 221

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
Exercise 9.2 | Q 22 | Page 221

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
Exercise 9.3 [Pages 226 - 228]

Samacheer Kalvi solutions for Business Mathematics and Statistics [English] Class 12 TN Board 9 Applied Statistics Exercise 9.3 [Pages 226 - 228]

Exercise 9.3 | Q 1 | Page 226

Define Statistical Quality Control

Exercise 9.3 | Q 2 | Page 226

Mention the types of causes for variation in a production process

Exercise 9.3 | Q 3 | Page 226

Define chance cause

Exercise 9.3 | Q 4 | Page 226

Define assignable cause

Exercise 9.3 | Q 5 | Page 226

What do you mean by product control?

Exercise 9.3 | Q 6 | Page 226

What do you mean by process control?

Exercise 9.3 | Q 7 | Page 226

Define a control chart

Exercise 9.3 | Q 8 | Page 226

Name the control charts for variables

Exercise 9.3 | Q 9 | Page 226

Define the mean chart

Exercise 9.3 | Q 10 | Page 226

Define R chart

Exercise 9.3 | Q 11 | Page 226

What are the uses of statistical quality control?

Exercise 9.3 | Q 12 | Page 226

Write the control limits for the mean chart

Exercise 9.3 | Q 13 | Page 226

Write the control limits for the R chart

Exercise 9.3 | Q 14 | Page 226

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)

Exercise 9.3 | Q 15 | Page 227

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

Exercise 9.3 | Q 16 | Page 227

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)

Exercise 9.3 | Q 17 | Page 227

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)

Exercise 9.3 | Q 18 | Page 227

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)

Exercise 9.3 | Q 19 | Page 228

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
Exercise 9.3 | Q 20 | Page 228

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
Exercise 9.3 | Q 21 | Page 228

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
Exercise 9.4 [Pages 229 - 230]

Samacheer Kalvi solutions for Business Mathematics and Statistics [English] Class 12 TN Board 9 Applied Statistics Exercise 9.4 [Pages 229 - 230]

MCQ

Exercise 9.4 | Q 1 | Page 229

Choose the correct alternative:

A time series is a set of data recorded

  • Periodically

  • Weekly

  • Successive points of time

  • All the above

Exercise 9.4 | Q 2 | Page 229

Choose the correct alternative:

A time series consists of

  • Five components

  • Four components

  • Three components

  • Two components

Exercise 9.4 | Q 3 | Page 229

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

Exercise 9.4 | Q 4 | Page 229

Choose the correct alternative:

Factors responsible for seasonal variations are

  • Weather

  • Festivals

  • Social customs

  • All the above

Exercise 9.4 | Q 5 | Page 229

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

Exercise 9.4 | Q 6 | Page 229

Choose the correct alternative:

Least square method of fitting a trend is

  • Most exact

  • Least exact

  • Full of subjectivity

  • Mathematically unsolved

Exercise 9.4 | Q 7 | Page 229

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

Exercise 9.4 | Q 8 | Page 229

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

Exercise 9.4 | Q 9 | Page 229

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

Exercise 9.4 | Q 10 | Page 229

Choose the correct alternative:

Another name of consumer’s price index number is:

  • Whole-sale price index number

  • Cost of living index

  • Sensitive

  • Composite

Exercise 9.4 | Q 11 | Page 229

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

Exercise 9.4 | Q 12 | Page 229

Choose the correct alternative:

Laspeyre’s index = 110, Paasche’s index = 108, then Fisher’s Ideal index is equal to:

  • 110

  • 108

  • 100

  • 109

Exercise 9.4 | Q 13 | Page 230

Choose the correct alternative:

Most commonly used index number is:

  • Volume index number

  • Value index number

  • Price index number

  • Simple index number

Exercise 9.4 | Q 14 | Page 230

Choose the correct alternative:

Consumer price index are obtained by:

  • Paasche’s formula

  • Fisher’s ideal formula

  • Marshall Edgeworth formula

  • Family budget method formula

Exercise 9.4 | Q 15 | Page 230

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

Exercise 9.4 | Q 16 | Page 230

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

Exercise 9.4 | Q 17 | Page 230

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

Exercise 9.4 | Q 18 | Page 230

Choose the correct alternative:

How many causes of variation will affect the quality of a product?

  • 4

  • 3

  • 2

  • 1

Exercise 9.4 | Q 19 | Page 230

Choose the correct alternative:

Variations due to natural disorder is known as

  • random cause

  •  non-random cause

  • human cause

  • all of them

Exercise 9.4 | Q 20 | Page 230

Choose the correct alternative:

The assignable causes can occur due to

  • poor raw materials

  • unskilled labour

  • faulty machines

  • all of them

Exercise 9.4 | Q 21 | Page 230

Choose the correct alternative:

A typical control charts consists of

  • CL, UCL

  • CL, LCL

  • CL, LCL, UCL

  • UCL, LCL

Exercise 9.4 | Q 22 | Page 230

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

Exercise 9.4 | Q 23 | Page 230

Choose the correct alternative:

R is calculated using

  • xmax – xmin

  • xmin – xmax

  • `bar"X"_"max" - bar"X"_"min"`

  • `\overset{==}{"X"}_"max" - \overset{==}{"X"}_"min"`

Exercise 9.4 | Q 24 | Page 230

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"}`

Exercise 9.4 | Q 25 | Page 230

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"`

Miscellaneous problems [Pages 231 - 233]

Samacheer Kalvi solutions for Business Mathematics and Statistics [English] Class 12 TN Board 9 Applied Statistics Miscellaneous problems [Pages 231 - 233]

Miscellaneous problems | Q 1 | Page 231

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
Miscellaneous problems | Q 2 | Page 231

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
Miscellaneous problems | Q 3 | Page 231

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
Miscellaneous problems | Q 4 | Page 231

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
Miscellaneous problems | Q 5 | Page 232

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
Miscellaneous problems | Q 6 | Page 232

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
Miscellaneous problems | Q 7 | Page 232

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?

Miscellaneous problems | Q 8 | Page 232

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
Miscellaneous problems | Q 9 | Page 233

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.

Miscellaneous problems | Q 10 | Page 233

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

Exercise 9.1Exercise 9.2Exercise 9.3Exercise 9.4Miscellaneous problems
Samacheer Kalvi solutions for Business Mathematics and Statistics [English] Class 12 TN Board chapter 9 - Applied Statistics - Shaalaa.com

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.

Further, we at Shaalaa.com provide such solutions so students can prepare for written exams. Samacheer Kalvi textbook solutions can be a core help for self-study and provide excellent self-help guidance for students.

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).

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