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Salesman Area Product Total Sales
Himanshu Chembur Microwave 4Himanshu Dadar VCR 5
Deepak Dadar I-Pod 3
Deepak Vashi I-Pod 6
Ritesh Bandra Microwave 7
Pankaj Juhu Mobile 4
Bhushan Kurla Mobile 5
Sachin Chembur VCR 6
Hasan Vashi I-Pod 7
Krunal Panvel I-Pod 8
Krunal Andheri VCR 5
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10
Write a External reference formula to access the data from
External Reference 230
Using paste links to refer a cell 1240
Copying Range 45 23 45
45 23 45
78 23 45
34 23 45
666 23 45
344 23 45
533.4 23 45
628.0857143 23 45
722.7714286 23 45817.4571429 23 45
912.1428571 23 45
1006.828571 23 45
1101.514286 23 45
1196.2 23 45
1290.885714 23 45
1385.571429 23 45
1480.257143 23 45
1574.942857 23 45
1669.628571 23 45
1764.314286 23 451859 23 45
1953.685714 23 45
2048.371429 23 45
2143.057143 23 45
2237.742857 23 45
2332.428571 23 45
2427.114286 23 45
2521.8 23 45
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2616.485714 23 45
2711.171429 23 45
2805.857143 23 45
2900.542857 23 45
2995.228571 23 45
3089.914286 23 45
3184.6 23 453279.285714 23 45
3373.971429 23 45
3468.657143 23 45
3563.342857 23 45
3658.028571 23 45
3752.714286 23 45
3847.4 23 45
3942.085714 23 45
4036.771429 23 45
4131.457143 23 45
4226.142857 23 45
4320.828571 23 45
4415.514286 23 45
4510.2 23 45
4604.885714 23 45
4699.571429 23 45
4794.257143 23 45
4888.942857 23 45
4983.628571 23 45
5078.314286 23 45
5173 23 455267.685714 23 45
5362.371429 23 45
5457.057143 23 45
5551.742857 23 45
5646.428571 23 45
5741.114286 23 45
5835.8 23 45
5930.485714 23 45
6025.171429 23 45
6119.857143 23 45
6214.542857 23 456309.228571 23 45
6403.914286 23 45
6498.6 23 45
6593.285714 23 45
6687.971429 23 45
6782.657143 23 45
6877.342857 23 45
6972.028571 23 45
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7066.714286 23 45
7161.4 23 45
7256.085714 23 45
7350.771429 23 45
7445.457143 23 45
7540.142857 23 45
7634.828571 23 457729.514286 23 45
7824.2 23 45
7918.885714 23 45
8013.571429 23 45
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8297.628571 23 45
8392.314286 23 45
8487 23 45
8581.685714 23 45
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8865.742857 23 45
8960.428571 23 45
9055.114286 23 45
9149.8 23 45
9244.485714 23 45
9339.171429 23 45
9433.857143 23 45
9528.542857 23 45
9623.228571 23 459717.914286 23 45
9812.6 23 45
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10001.97143 23 45
10096.65714 23 45
10191.34286 23 45
10286.02857 23 45
10380.71429 23 45
10475.4 23 45
10570.08571 23 45
10664.77143 23 4510759.45714 23 45
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10948.82857 23 45
11043.51429 23 45
11138.2 23 45
11232.88571 23 45
11327.57143 23 45
11422.25714 23 45
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11516.94286 23 45
11611.62857 23 45
11706.31429 23 45
11801 23 45
11895.68571 23 45
11990.37143 23 45
12085.05714 23 4512179.74286 23 45
12274.42857 23 45
12369.11429 23 45
12463.8 23 45
12558.48571 23 45
12653.17143 23 45
12747.85714 23 45
12842.54286 23 45
12937.22857 23 45
13031.91429 23 45
13126.6 23 45
13221.28571 23 45
13315.97143 23 45
13410.65714 23 45
13505.34286 23 45
13600.02857 23 45
13694.71429 23 45
13789.4 23 45
13884.08571 23 45
13978.77143 23 45
14073.45714 23 4514168.14286 23 45
14262.82857 23 45
14357.51429 23 45
14452.2 23 45
14546.88571 23 45
14641.57143 23 45
14736.25714 23 45
14830.94286 23 45
14925.62857 23 45
15020.31429 23 45
15115 23 4515209.68571 23 45
15304.37143 23 45
15399.05714 23 45
15493.74286 23 45
15588.42857 23 45
15683.11429 23 45
15777.8 23 45
15872.48571 23 45
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15967.17143 23 45
16061.85714 23 45
16156.54286 23 45
16251.22857 23 45
16345.91429 23 45
16440.6 23 45
16535.28571 23 4516629.97143 23 45
16724.65714 23 45
16819.34286 23 45
16914.02857 23 45
17008.71429 23 45
17103.4 23 45
17198.08571 23 45
17292.77143 23 45
17387.45714 23 45
17482.14286 23 45
17576.82857 23 45
17671.51429 23 45
17766.2 23 45
17860.88571 23 45
17955.57143 23 45
18050.25714 23 45
18144.94286 23 45
18239.62857 23 45
18334.31429 23 45
18429 23 45
18523.68571 23 4518618.37143 23 45
18713.05714 23 45
18807.74286 23 45
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18997.11429 23 45
19091.8 23 45
19186.48571 23 45
19281.17143 23 45
19375.85714 23 45
19470.54286 23 45
19565.22857 23 4519659.91429 23 45
19754.6 23 45
19849.28571 23 45
19943.97143 23 45
20038.65714 23 45
20133.34286 23 45
20228.02857 23 45
20322.71429 23 45
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20417.4 23 45
20512.08571 23 45
20606.77143 23 45
20701.45714 23 45
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ome other workbook for calculation
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3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4
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3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4
3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4
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3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4
3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4
3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4
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3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4
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3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4
3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.43847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4
3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4
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3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4
3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4
3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4
3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4
3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4
3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4
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3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4
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3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4
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3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.43847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4 3847.4
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Name Sales Target Result
Alan 1000 5000 Not Achieved N\A Not Ach
Bob 6000 5000 Achieved A Ach
Carol 2000 4000 Not Achieved N\A Not Ach
John 5000 6000 Not Achieved N\A Not Ach
Sam 4500 5000 Not Achieved N\A Not Ach
Daniel 2000 1000 Achieved A Ach
Name Sales Target Bonus
Alan 1000 5000 50 50
Bob 6000 5000 600 600
Carol 2000 4000 100 100
John 5000 6000 250 250
Sam 4500 5000 225 225Daniel 2000 1000 200 200
Name Sales Bonus
Alan 1000 50
Bob 6000 1200
Carol 2000 100
John 5000 1000
Sam 4500 675
Daniel 2000 100
Gender Age Eligibility
F 13 NE
F 25 E
F 15 NE
M 60 E
M 12 NE
M 65 E
What Does It Do?-This function tests a condition.-If the condition is met it is considered to be TRUE.-If the condition is not met it is considered as FALSE.-Depending upon the result, one of two actions will be carried out.
SyntaxIF(logical_test,value_if_true,value_if_false)
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F 18 E
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Student Name English Hindi Marathi Science
Alan 90 50 65 85
Bob 85 80 55 65
Carol 65 65 60 45
John 40 20 58 44
Sam 54 98 90 85
Daniel 60 50 45 40
Salesman Name VCR(QTY) I-Pod(QTY) Mobiles(QTY) Remark
Alan 50 54 80 Applicable
Bob 65 25 50 Applicable
Carol 10 55 85 Applicable
John 58 55 60 Applicable
Sam 40 80 52 Applicable
Daniel 40 45 10 Not Applicable
Use criteria range F1:H2
to find records that
meet ALL THREE criteria
What Does It Do?-Returns TRUE if all its arguments are TRUE-Returns FALSE if one or more argument is FALSE.
Syntax
IF(AND(logical1,logical2, ...))
What Does It Do?-Returns TRUE if any argument is TRUE;-Returns FALSE if all arguments are FALSE.
SyntaxIF(OR(logical1,logical2,...))
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Customer Product Total
MegaMart Cookies >500
Date Customer Product Total
1/1/2003 MegaMart Ice $302.00 Yes
1/3/2003 FoodMart Produce $530.00 Yes1/4/2003 MegaMart Cookies $223.00 Yes
1/11/2003 MegaMart Cookies $363.00 Yes
1/20/2003 MegaMart Cookies $478.00 Yes
1/20/2003 MegaMart Milk $191.00 Yes
1/21/2003 FoodMart Bread $684.00 Yes
1/25/2003 MegaMart Cookies $614.00 Yes
2/17/2003 MegaMart Bread $380.00 Yes
2/22/2003 MegaMart Bread $120.00 Yes
2/23/2003 MegaMart Milk $174.00 Yes
2/28/2003 MegaMart Cookies $48.00 Yes
3/2/2003 MegaMart Cookies $715.00 Yes
3/4/2003 FoodMart Bread $561.00 Yes
3/5/2003 MegaMart Cookies $468.00 Yes
3/12/2003 FoodMart Produce $746.00 Yes
3/12/2003 MegaMart Ice Cream $752.00 Yes
3/19/2003 MegaMart Produce $399.00 Yes
3/21/2003 MegaMart Cookies $746.00 Yes
3/21/2003 MegaMart Milk $903.00 Yes
4/4/2003 FoodMart Milk $275.00 No
4/18/2003 MegaMart Bread $277.00 Yes
4/18/2003 MegaMart Milk $734.00 Yes
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Maths Total Average Remark Grade
90 380 76 PASS Dist
95 380 76 PASS Dist
60 295 59 PASS Second Class
58 220 44 FAIL Fail
60 387 77.4 PASS Dist
40 235 47 PASS Second Class
Applicable
Applicable
Applicable
Applicable
Applicable
Not
Use criteria range J1:L4
to find records that
meet AT LEAST ONE of the criteria
Customer Product Total
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MegaMart
Cookies
>500
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Example-1
Name Jan
Alan 10
Bob 20
Carol 30
David 40
Eric 50
Francis 60
Gail 70
Example-2
RangeToLookIn
Alan
Bob
Carol
DavidEric
Fred
The Feb value for
Type a Name i
What Does It Do?
-This function looks for a piece of information in a list, and then pi
Syntax
-LOOKUP(What To Look For,Range To LookIn,Range ToPick From -The What ToLookF or should be a single item.
-The Range ToLook in can be either horizontal or vertical.
-The RangeToPick From must have the same number of cells in it
Note-Be careful not to include unnecessary heading in the ranges
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Name Sales
Sam 5000
Sony 2500
Maddy 4500
Sales Bonus Raj 5600
1000 500 Rohan 2000
5000 1000 Guddi 6000
8000 1500 Priya 7500
10000 2000 Sonam 1000
Diya 9000
Rohan 2500
Rahul 4550
Amar 2550
Prem 6550
Ritu 10000
Bonus Details
Employe
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Feb Mar
80 97
90 69
100 45
110 51
120 77
130 28
140 73
Eric
120
5 10 15 20 25 30
Carol15
this person is :
in this cell :
RangeToPickFrom
Type a name :Value :
ks an item from a second range of cells.
s the RangeToLookin.
s these will cause errors.
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Bonus
1000
500
500
1000
500
1000
1000
500
1500
500
500
500
1000
2000
Bonus
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Example-2
Jan 10 20 30 40 50
Feb 80 90 100 110 120
Mar 97 69 45 51 77
Jan
2
10
Example-2
Item Units Unit Cost
Brick 100 2
Brick 2 Wood 200 1
Wood 1 Wood 150 1
Glass 3 Brick 225 2
Wood 50 1
Glass 500 3
Example-3
Date Prod1 Prod2 Prod3 Prod4
2-Feb-06 447 358 358 500
Sales of Product Sold on particular Dates
Type a month to look for :
Which column needs to be picked out :
The result is :
Unit Cost Table
Orders Table
What Does It Do?-This function scans down the row headings at the side of a table to find a speciWhen the item is found, it then scans across to pick a cell entry.
Syntax=VLOOKUP(ItemToFind,RangeToLookIn,ColumnToPickFrom,SortedOrUnsorte-The ItemToFind is a single item specified by the user.-The RangeToLookIn is the range of data with the row headings at the left hand-The ColumnToPickFrom is how far across the table the function should look to-The Sorted/Unsorted is whether the column headings are sorted. TRUE for yes
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13-Feb-06 457 566 455 250
28-Feb-06 547 458 587 640
1-Mar-06 758 785 256 655
5-Mar-06 127 328 200 300
10-Mar-06 569 564 588 458
11-Mar-06 566 300 650 800
1-Apr-06 458 258 400 555
Date Prod1 Prod2 Prod3 Prod4
10-Mar-06 569 564 588 458
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ied item.
)
side.pick from., FALSE for no.
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Example-1
Jan Feb Mar
10 80 97
20 90 69
30 100 45
40 110 51
50 120 77
Feb
4
100
Type a month to look for :
Which row needs to be picked out :
The result is :
What Does It Do?-This function scans across the column headings at the top of a table to find a specifie-When the item is found, it then scans down the column to pick a cell entry.
Syntax
=HLOOKUP(ItemToFind,RangeToLookIn,RowToPickFrom,SortedOrUnsorted)-The Item To Find is a single item specified by the user.-The Range To LookIn is the range of data with the column headings at the top.-The Row To Pick From is how far down the column the function should look to pick f-The Sorted/Unsorted is whether the column headings are sorted. TRUE for yes, FAL
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item.
rom.E for no.
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Following are Different destination available to visit
Accordingly, to travel their, different modes are ava
We need to create a System where used will input t
On the basis of selection, he gets the Fare amount
Destination Rail Road
Agra 500 400
Delhi 750 500
Madras 800 650
Banglore 650 550
Area Mode Amount
Banglore Air 5600
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in India
ilable along with their prices.
e destination city, and select the mode of travel
Air
4500
5500
5000
5600
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Drinks Brands Price
Pepsi 10
Coke 12
Miranda 8
Thums up 6
Fanta 8
Hot Coke
Tea 5
Nestle 6
Horlicks 15
Coffee 50
Given a list of items along with the price tag
Customer can buy any of the given CATEGORY. Hot ORNow we will design the structure in this following ma
Category Brands Qty Price
There will be drop down in Category Column. Hot and
Based on Category Selection the list has to be displaye
You could enter any value for Qty
Price has to be calculated on the rate for the brand pu
Take a ZIP
Cold
Hot
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Category Brands Qty Price
hot Fanta 10 80
Cold.. No idea and that too how much quantityner
cold
d under Brands Column.
chased with the qty bought.
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Amount 45000
Discount 5%
Name Amount Bonus
Alan
Bob
Carol
David
Eric
Francis
Gail
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Count
10 20 30 3
10 0 30 3
10 -20 30 3
10 1-Jan-88 30 3
10 21:30 30 3
10 0.489084 30 3
10 30 2
10 Hello 30 2
10 #DIV/0! 30 2
Entries To Be Counted
What Does It Do?-This function counts the number of numeric entries in a list.-It will ignore blanks, text and errors.
Syntax
=COUNT(Range1,Range2,Range3... through to Range30)
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Count
10 20 30 3
10 0 30 3
10 -20 30 3
10 1-Jan-88 30 3
10 21:30 30 3
10 0.824272 30 3
10 30 2
10 Hello 30 3
10 #DIV/0! 30 3
Entries To Be Counted
What Does It Do?-This function counts the number of numeric entries in a list.
Syntax=COUNT(Range1,Range2,Range3... through to Range30)
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Count
10 20 30 0
10 0 30 0
10 -20 30 0
10 1-Jan-88 30 0
10 21:30 30 0
10 0.126659 30 0
10 30 1
10 Hello 30 0
10 #DIV/0! 30 0
Entries To Be Counted
What Does It Do?-This function counts the number of blank cells in a range.
Syntax=COUNTBLANK(RangeToTest)
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Item Date Cost
Brakes 1-Jan-98 80
Tyres 10-May-98 25
Brakes 1-Feb-98 80
Service 1-Mar-98 150
Service 5-Jan-98 300
Window 1-Jun-98 50
Tyres 1-Apr-98 200
Tyres 1-Mar-98 100
Clutch 1-May-98 250
2
3
5
service 2
How many Brake Shoes Have been bought.
How many Tyres have been bought.
How many items cost 100 or above.
Type the name of the item to count.
What Does It Do?-This function counts the number of items which match criteria set by theuser.
Syntax=COUNTIF(RangeOfThingsToBeCounted,CriteriaToBeMatched)
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Item Date Cost
Brakes 1-Jan-98 80
Tyres 10-May-98 25
Brakes 1-Feb-98 80
Service 1-Mar-98 150
Service 5-Jan-98 300
Window 1-Jun-98 50
Tyres 1-Apr-98 200
Tyres 1-Mar-98 100
Clutch 1-May-98 250
160
325
1000Total of items costing 100 or above.
Total cost of all Tyres bought.
Total cost of all Brakes bought.
What Does It Do?
-This function adds the value of items which match criteria set by
the user.
Syntax
=SUMIF(RangeOfThingsToBeExamined,CriteriaToBeMatched,RangeOfValuesToTotal)
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Name 1 Name 2 Concatenated Text
Alan Jones AlanJones
Bob Williams BobWilliams
Carol Davies CarolDavies
Alan Jones Alan Jones
Bob Williams Williams, Bob
Carol Davies Davies, Carol
What Does It Do?
-This function joins separate pieces of text into one item.
Syntax
=CONCATENATE(Text1,Text2,Text3...Text30)Note - Up to thirty pieces of text can be joined.
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=CONCATENATE(C4,D4) Jones Alan
=CONCATENATE(C5,D5) Williams Bob
=CONCATENATE(C6,D6) Davies Carol
=CONCATENATE(C7," ",D7) Jones Alan
=CONCATENATE(D8,", ",C8) Williams Bob
=CONCATENATE(D9,", ",C9) Davies Carol
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Dirty Text Clean Text
Hello Hello Hello
He llo Hello Hello
Hello Hello Hello
What Does It Do?
-This function removes any nonprintable characters from text.
-These nonprinting characters are often found in data which has been
imported from other systems such as database imports from mainframes.
Syntax=CLEAN(TextToBeCleaned)
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Product Wattage Life Hours Brand Unit Cost
Bulb 200 3000 Horizon 4.50
Neon 100 2000 Horizon 2.00
Spot 60
Other 10 8000 Sunbeam 0.80
Bulb 80 1000 Horizon 0.20
Spot 100 unknown Horizon 1.25
Spot 200 3000 Horizon 2.50
Other 25 unknown Sunbeam 0.50
Bulb 200 3000 Sunbeam 5.00
Neon 100 2000 Sunbeam 1.80
Bulb 100 unknown Sunbeam 0.25
Bulb 10 800 Horizon 0.20
Bulb 60 1000 Sunbeam 0.15
Bulb 80 1000 Sunbeam 0.20
Bulb 100 2000 Horizon 0.80
Bulb 40 1000 Horizon 0.10
Example-1
Brand
Type the brand name : sunbeam
The Average cost of is : 1.24
To calculate the Average cost of a particular Brand of bulb.
What Does It Do?
-This function examines a list of information and produces and average.
Syntax
=DAVERAGE(DatabaseRange,FieldName,CriteriaRange)
***The DatabaseRange is the entire list of information you need to examine, including the field
***The FieldName is the name, or cell, of the values to be averaged, such as "Unit Cost"
***The CriteriaRange is made up of two types of information.
*The first set of information is the name, or names, of the Fields(s) to be used as the basis for
*The second set of information is the actual record, or records, which are to be selected.
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Example-2
Product BrandBulb Horizon
The average of Horizon is : 1.16
Example-3
Product Wattage
Bulb 100
Average of Bulb 100 is : 0.53
Region Product Units Sold Sales (In Lakhs) TargetMumbai DVD 500 26 30
Chennai DVD 800 17 25
Pune MP3 800 40 25
Mumbai Digital Cam 860 25 20
Chennai Digital Cam 400 34 25
Banglore DVD 890 78 90
Banglore Ipod 345 4 6
Chennai CD 1200 12 15
Mumbai DVD 670 22 25Pune Ipod 890 45 50
Mumbai CD 675 70 75
Chennai CD 890 90 75
Banglore MP3 345 17 15
Chennai MP3 1000 20 10
Mumbai Ipod 670 90 100
The average Unit Cost of a particular Product of a particular Brand.
The average Unit Cost of a Bulb equal to a particular Wattage.
Sales Data For April 2009
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Region
Mumbai
Average Sales For Each City 46.6
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BoxQuantity
Boxes InStock
Value OfStock
4 3 54.00
15 2 60.00
0.00
25 6 120.00
40 3 24.00
10 4 50.00
15 0 0.00
10 3 15.00
3 2 30.00
20 5 180.00
10 5 12.50
25 2 10.00
25 0 0.00
30 2 12.00
10 5 40.00
20 5 10.00
names at the top of the columns.
electing the records
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Product Wattage Life Hours Brand
Bulb 200 3000 Horizon
Neon 100 2000 Horizon
Spot 60
Other 10 8000 Sunbeam
Bulb 80 1000 Horizon
Spot 100 unknown Horizon
Spot 200 3000 Horizon
Other 25 unknown Sunbeam
Bulb 200 3000 Sunbeam
Neon 100 2000 Sunbeam
Bulb 100 unknown Sunbeam
Bulb 10 800 Horizon
Bulb 60 1000 Sunbeam
Bulb 80 1000 Sunbeam
Bulb 100 2000 Horizon
Bulb 40 1000 Horizon
Example-1
Brand
Type the brand name : Horizon
The stock value of Horizon is : 248.00
To calculate the total Value Of Stock of a particular Brand
What Does It Do?
-This function examines a list of information and produces the total.
Syntax=DSUM(DatabaseRange,FieldName,CriteriaRange)
***The DatabaseRange is the entire list of information you need to examine, including t
***The FieldName is the name, or cell, of the values to be averaged, such as "Unit Cost"
***The CriteriaRange is made up of two types of information.
*The first set of information is the name, or names, of the Fields(s) to be used as the ba
*The second set of information is the actual record, or records, which are to be selecte
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Example-2
Product Brand
Bulb Sunbeam
Total stock value is : 54.5
Example-3
Region Product Units Sold Sales (In Lakhs)Mumbai DVD 500 26
Chennai DVD 800 17
Pune MP3 800 40
Mumbai Digital Cam 860 25
Chennai Digital Cam 400 34
Banglore DVD 890 78
Banglore Ipod 345 4
Chennai CD 1200 12Mumbai DVD 670 22
Pune Ipod 890 45
Mumbai CD 675 70
Chennai CD 890 90
Banglore MP3 345 17
Chennai MP3 1000 20
Mumbai Ipod 670 90
RegionMumbai
Total Sales for the Mumbai 233
Region Product
Mumbai CD
The total Value Of Stock of a particular Product of a particular
Sales Data For April 2009
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Mumbai MP3
70Total Sales for CD and MP3 in
Mumbai
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Unit Cost
Box
Quantity
Boxes In
Stock
Value Of
Stock
4.50 4 3 54.00
2.00 15 2 60.00
0.00
0.80 25 6 120.00
0.20 40 3 24.00
1.25 10 4 50.00
2.50 15 0 0.00
0.50 10 3 15.00
5.00 3 2 30.00
1.80 20 5 180.00
0.25 10 5 12.50
0.20 25 2 10.00
0.15 25 0 0.00
0.20 30 2 12.00
0.80 10 5 40.00
0.10 20 5 10.00
f bulb.
he field names at the top of the columns.
sis for selecting the records
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Target30
25
25
20
25
90
6
1525
50
75
75
15
10
100
rand.
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Following is the Monthly Sales Data For M/s. Dhuri Pvt. Ltd.
Management requires some information to take necessary d
You are asked to calculate the figures.
Region Product Units Sold Sales (In Lakhs)Mumbai DVD 500 26
Chennai DVD 800 17
Pune MP3 800 40
Mumbai Digital Cam 860 25
Chennai Digital Cam 400 34
Banglore DVD 890 78Banglore Ipod 345 4
Chennai CD 1200 12
Mumbai DVD 670 22
Pune Ipod 890 45
Mumbai CD 675 70
Chennai CD 890 90
Banglore MP3 345 17
Chennai MP3 1000 20
Mumbai Ipod 670 90
Sales Data For April 2009
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ecisions from the growth perspective.
Target30
25
25
20
25
906
15
25
50
75
75
15
10
100
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Following is the Monthly Sales Data For M/s. Dhuri Pvt. Ltd.
Management requires some information to take necessary d
You are asked to calculate the figures.
Region Product Units Sold Sales (In Lakhs)Mumbai DVD 500 26
Chennai DVD 800 17
Pune MP3 800 40
Mumbai Digital Cam 860 25
Chennai Digital Cam 400 34
Banglore DVD 890 78Banglore Ipod 345 4
Chennai CD 1200 12
Mumbai DVD 670 22
Pune Ipod 890 45
Mumbai CD 675 70
Chennai CD 890 90
Banglore MP3 345 17
Chennai MP3 1000 20
Mumbai Ipod 670 90
Sales Data For April 2009
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ecisions from the growth perspective.
Target Region Product Units Sold30 Chennai >=1000
25
25
20
25
906
15
25
50
75
75
15
10
100
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Sales (In Lakhs) Target
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1 2000
1200 800
pa int
Loam Amount 25000
2000
No. of Years 4 48 1600 400
Rate of interest 4%
Monthly Payment564.48 PMT
1($481.14) PPMT
48 ($562.60)
1($83.33) IPMT
48 ($1.88)
Calculates the payment for a loaSyntaxPMT(rate,nper,pv)
**Rate is the interest rate for t**Nper is the total number of**Pv is the present value, or th
Returns the payment on the priinterest rate.
SyntaxPPMT(rate,per,nper,pv)
**Rate is the interest rate for t**Per specifies the period and**Nper is the total number of**Pv is the present value, or th
Returns the payment on the intconstant interest rate.Syntax
IPMT(rate,per,nper,pv)
**Rate is the interest rate for t**Per specifies the period and**Nper is the total number of p**Pv is the present value, or th
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n based on constant payments and a constant interest rate.
he loan.ayments for the loan.
e total amount that a series of future payments is worth now; also known as the principal.
ncipal for a given period for an investment based on periodic, constant payments and a constant
he loan.must be in the range 1 to nper.ayments for the loan.
e total amount that a series of future payments is worth now; also known as the principal.
rest principal for a given period for an investment based on periodic, constant payments and a
he loan.must be in the range 1 to nper.ayments for the loan.
e total amount that a series of future payments is worth now; also known as the principal.
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istext Accept only text
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