If the value in the CPR Trained column is equal to the text "Yes", the formula should display Trained as the text. Otherwise, the formula should determine if the value in the Camp Counselor column is equal to the text "Yes" and return the text Yes if true and No if false.
If the value in the CPR Trained column is equal to the text "Yes", the formula should display Trained as the text. Otherwise, the formula should determine if the value in the Camp Counselor column is equal to the text "Yes" and return the text Yes if true and No if false.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
Related questions
Question
Brittany wants to identify employees who are eligible to take a CPR course at the clubs' expense. Employees who can work as camp counselors are eligible for the course. In cell M3, enter a formula using a nested IF function as follows to determine first if an employee has already been trained in CPR, and if not, whether that employee meets the qualifications to take the course:
-
- If the value in the CPR Trained column is equal to the text "Yes", the formula should display Trained as the text.
- Otherwise, the formula should determine if the value in the Camp Counselor column is equal to the text "Yes" and return the text Yes if true and No if false.

Transcribed Image Text:A.
C
D
E
F
G
H
I
K
L
M
N
1
Eligibility
Employee ID -
3 A213
Pay Rate
16.00
Lifeguard
Age
Cert. Year-
CPR Trained -
Instructor
Team Coach -
CPR Course
Level
2
Name
Years of Experience
Camp Counselor
Swim Team
2018
Tiffany Adams
Hassan Bachim
22
4
Yes
Yes
Yes
YES
NO
2
4 B534
19
1
15.75
2022
No
No
No
NO
NO
1
Megan Beckman
Catherine Coleman
5 B681
19
1
15.75
2022
Yes
No
No
NO
NO
1
6 C826
7 F724
YES
22
4
16.00
2017
Yes
No
Yes
NO
2.
Carrie Faulkner
24
6
16.50
2015
Yes
Yes
No
YES
YES
8 G629
Paul Gomez
24
6
16.50
2018
Yes
Yes
No
YES
YES
2.
9 G875
10 1608
11 L869
12 M893
Bryant Grossburg
Marilyn Jesberger
Jonathan Lampert
18
15.50
2022
No
No
No
NO
NO
1
21
3
16.00
2019
No
No
No
NO
NO
1
25
16.50
2019
Yes
Yes
Yes
YES
YES
Gina Milota
21
3
16.00
2020
Yes
No
No
NO
NO
1
13 N252
Jeff Newman
21
3
16.00
2020
No
No
No
NO
NO
1
14 0943
15 P408
16 P492
17 P833
18 0567
Crystal Olneck
Yolanda Padilla
23
5
16.50
2018
Yes
No
No
YES
YES
2.
NO
YES
NO
YES
18
15.50
2022
No
No
No
1
Michael Pienkowski
25
16.50
2017
Yes
Yes
Yes
2.
Keith Pienkowski
24
6
16.50
2018
Yes
Yes
No
YES
YES
2
James Quinlan
Ryan Quinlan
Andrea Shelby
24
16.00
2020
Yes
No
Yes
YES
YES
2.
19 Q752
20 S639
21 T598
22 U88
20
16.00
2020
Yes
No
Yes
NO
NO
1
26
8
17.50
2017
Yes
Yes
No
YES
YES
2.
Anna Tran
19
2
16.00
2021
No
No
Yes
NO
NO
Tracy Uphoff
Javier Vazquez
Jose Vazquez
23
16.50
2017
Yes
Yes
No
YES
YES
2.
23 V188
18
15.50
2022
No
No
No
NO
NO
1
24 V420
22
4
16.00
2018
Yes
No
No
YES
NO
25 V735
Alexa Vanderson
18
15.50
2022
No
No
No
NO
NO
YES
1
26 W209
Dale Wong
28
4
16.00
2018
Yes
Yes
No
YES
2.
27 W757
Julie Weiss
Mary Winslow
Brandon Waddell
24
6
16.50
2017
Yes
Yes
Yes
YES
YES
2
28 W909
24
6
16.50
2018
Yes
Yes
Yes
YES
YES
2.
16.00
16.00
29 W990
21
2019
Yes
No
Yes
NO
NO
1
30 Y753
Aaron Yee
20
2.
2019
Yes
No
No
NO
NO
1
Kay Yamashita
Richard Young
31 Y888
19
1
15,75
2021
Yes
No
Yes
NO
NO
1
32 Y960
22
4
16.00
2018
Yes
Yes
No
YES
NO
2
22
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