1 Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall. Chapter 7 Specialized Functions by Mary Anne Poatsy, Keith Mulbery, Eric Cameron,

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1 Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall. Chapter 7 Specialized Functions by Mary Anne Poatsy, Keith Mulbery, Eric Cameron, Jason Davidson, Rebecca Lawson, Linda Lau, Jerri Williams

Create a nested logical function Use MATCH and INDEX lookup functions Use advanced filtering Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall. 2

Manipulate data with database functions Create a loan amortization table Perform other financial calculations Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall. 3

IF function – Performs different actions based on whether the logical test is true or false – Has three arguments: logical_test, Value_if_true, and Value_if_false – Example: IF(A6>40, “overtime”, “no overtime”) Nested function—function that is embedded within an argument of another function 4 Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall.

Nested IF function =IF(E7<I$2,F5*J$2%,IF(E5<=I$3,F5*J$3,F5*J$4)) 5 Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall.

6

AND function – Has two or more logical conditions – Returns TRUE only if all conditions are true – Returns FALSE if any of the conditions are false – Example: =AND(logical1,logical2, …) =AND(A1 =5*G3) 7 Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall.

OR function – Has two or more conditions – Returns TRUE if any of the conditions are true – Returns FALSE only if all conditions are false – Example: =OR(logical1,logical2, …) =OR(A3=5, $B6=16, C$6>=A5*G3) 8 Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall.

9

NOT function – Contains only one argument – Reverses the truth value of its argument – Example: =NOT(logical) =NOT(B6<3*D3) 10 Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall.

11 Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall. MATCH function Has three arguments – Lookup_value – Lookup_array – Match_type Returns the position of a value in a list

12 Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall. INDEX function Has three arguments – Array – Row_num – Column_num Returns a value or the reference to a value within a range based on X and Y coordinates

13 Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall.

14 Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall. Prior to applying advanced filtering techniques, a criteria range must be defined Criteria range—separate range of cells specifying the conditions used to filter a table – Must contain at least two rows and one column – First row contains the table column labels – Second row contains the conditions for filtering the table

15 Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall.

16 Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall.

17 Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall. Advanced Filter dialog box allows: – Filtering the table in place – Copying selected records to another area in the worksheet – Specifying the list range – Specifying the criteria range – Displaying only unique records

18 Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall.

19 Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall. Database functions – Analyze data for selected records in a database table – Used exclusively for database tables – Data not meeting specified criteria are filtered out – Have three arguments: Database Field Criteria

20 Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall. Database functions =DSUM(database, field, criteria) =DAVERAGE(database, field, criteria) =DMAX(database, field, criteria) =DMIN(database, field, criteria) =DCOUNT(database, field, criteria)

21 Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall.

22 Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall. Financial functions =PMT (rate,nper,pv) =IPMT (rate,per,nper,pv ) =PPMT (rate,per,nper,pv) =CUMIPMT (rate,nper,pv,start_period,end_period,type) =CUMPRINC (rate,nper,pv,start_period,end_period,type)

23 Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall. Schedule for loan amortization table: – Monthly payments – Interest per period – Principal repayment per period – Balances

24 Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall.

25 Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall. Additional financial functions =PV (rate,nper,pmt) =FV (rate,nper,pmt ) =NPV (rate,value1,value2, …) =NPER (rate,pmt,pv) =RATE (nper,pmt,pv)

Logical functions can be nested to form more complex conditions There are additional lookup functions: – MATCH – INDEX Tables can be filtered to display desired results Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall. 26

Excel has several database functions Excel has several financial functions Amortization tables can be constructed using these functions Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall. 27

Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall. 28

Copyright © 2014 Pearson Education, Inc. Publishing as Prentice Hall. 29 All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of the publisher. Printed in the United States of America.