%PDF-1.6
%
1 0 obj
<< /Metadata 3 0 R /OutputIntents [ << /DestOutputProfile 4 0 R /Info (U.S. Web Coated \(SWOP\) v2) /OutputCondition () /OutputConditionIdentifier (CGATS TR 001) /RegistryName (http://www.color.org) /S /GTS_PDFX /Type /OutputIntent >> ] /Pages 5 0 R /Type /Catalog >>
endobj
2 0 obj
<< /Author (Kids Academy) /CreationDate (D:20190110211750+04'00') /Creator (Adobe Illustrator CC 2015 \(Windows\)) /GTS_PDFXVersion (PDF/X-4) /ModDate (D:20220119105921+00'00') /Producer (pikepdf 4.3.1) /Subject (Grade 1, Math, Addition & Subtraction) /Title (What Equation Is That? Printable Worksheet PDF) /Trapped /False >>
endobj
3 0 obj
<< /Subtype /XML /Type /Metadata /Length 149900 >>
stream
application/pdf
What Equation Is That? Printable Worksheet PDF
2022-01-19T04:59:21.189378-06:00
2022-01-19T10:59:21+00:00
2019-01-10T21:17:50+04:00
Adobe Illustrator CC 2015 (Windows)
232
256
JPEG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uuid:c7a5b8e5-6d88-4027-8940-1ca52682c7e8
xmp.did:53681121-c10a-de4a-834e-3044861713fc
uuid:5D20892493BFDB11914A8590D31508C8
proof:pdf
1
uuid:656f09d8-659d-4127-8aea-8da29f9d1180
xmp.did:7d4c3eb7-40eb-7e4b-a6cb-31385294a847
uuid:5D20892493BFDB11914A8590D31508C8
proof:pdf
saved
xmp.iid:1ba4aebb-88fe-f04d-984a-2201e8464873
2016-11-15T15:10:46+03:00
Adobe Illustrator CC 2014 (Windows)
/
saved
xmp.iid:53681121-c10a-de4a-834e-3044861713fc
2019-01-10T21:17:42+03:00
Adobe Illustrator CC 2015 (Windows)
/
Print
False
True
1
595.000018
842.000000
Pixels
AGAvantGardeCyrBook
AGAvantGardeCyr
Book
TrueType
001.000
False
6775.ttf
ChubbyCheeks
Chubby Cheeks
Regular
TrueType
Version 1.10
False
CHUBBY.TTF
CoarseRounded
Coarse Rounded
Regular
Open Type
Version 1.000;PS 001.001;hotconv 1.0.56
False
CoarseRounded.otf
ErasITC-Bold
Eras Bold ITC
Regular
Open Type
Version 1.01
False
ERASBD.TTF
Luna
Luna
Regular
TrueType
Version 1.000
False
Luna.ttf
MyriadPro-Regular
Myriad Pro
Regular
Open Type
Version 2.106;PS 2.000;hotconv 1.0.70;makeotf.lib2.5.58329
False
MyriadPro-Regular.otf
NotarizedOpenlyScriptSt
Notarized Openly Script St
Regular
TrueType
Version 1.00 September 23, 2016, Free for personal Use | Southype.com
False
Notarized Openly Script St.ttf
Noteworthy-Bold
Noteworthy
Bold
TrueType
8.0d3e1
False
Noteworthy-Bold.ttf
PetangueDEMO
Petangue DEMO
Regular
Open Type
Version 1.000
False
petangue DEMO.otf
Quenda-Medium
Quenda
Medium
Open Type
Version 1.002;PS 001.002;hotconv 1.0.88;makeotf.lib2.5.64775
False
Quenda-Medium.otf
RFKrabuler-Regular
RF Krabuler
Regular
Open Type
Version 1.000
False
RF Krabuler Regular.ttf
Cyan
Magenta
Yellow
Black
Default Swatch Group
0
Black
RGB
PROCESS
35
31
32
CMYK Red
RGB
PROCESS
236
28
36
CMYK Yellow
RGB
PROCESS
255
241
0
CMYK Green
RGB
PROCESS
0
165
81
R=147 G=224 B=255 2
RGB
PROCESS
147
224
255
CMYK Cyan
RGB
PROCESS
0
173
238
CMYK Blue
RGB
PROCESS
46
49
145
CMYK Magenta
RGB
PROCESS
235
0
139
C=15 M=100 Y=90 K=10
RGB
PROCESS
190
30
45
C=0 M=90 Y=85 K=0
RGB
PROCESS
238
64
54
C=0 M=80 Y=95 K=0
RGB
PROCESS
240
90
40
C=0 M=50 Y=100 K=0
RGB
PROCESS
246
146
30
C=0 M=35 Y=85 K=0
RGB
PROCESS
250
175
64
C=5 M=0 Y=90 K=0
RGB
PROCESS
249
236
49
White
RGB
PROCESS
255
255
255
C=20 M=0 Y=100 K=0
RGB
PROCESS
214
222
35
C=50 M=0 Y=100 K=0
RGB
PROCESS
139
197
63
C=75 M=0 Y=100 K=0
RGB
PROCESS
55
179
74
C=85 M=10 Y=100 K=10
RGB
PROCESS
0
147
69
C=90 M=30 Y=95 K=30
RGB
PROCESS
0
104
56
C=75 M=0 Y=75 K=0
RGB
PROCESS
41
180
115
C=80 M=10 Y=45 K=0
RGB
PROCESS
0
166
156
C=85 M=50 Y=0 K=0
RGB
PROCESS
27
117
187
C=70 M=15 Y=0 K=0
RGB
PROCESS
38
169
224
C=100 M=95 Y=5 K=0
RGB
PROCESS
43
56
143
C=100 M=100 Y=25 K=25
RGB
PROCESS
38
34
97
C=50 M=100 Y=0 K=0
RGB
PROCESS
144
39
142
C=35 M=100 Y=35 K=10
RGB
PROCESS
158
31
99
C=10 M=100 Y=50 K=0
RGB
PROCESS
217
28
92
C=0 M=95 Y=20 K=0
RGB
PROCESS
236
41
123
C=25 M=25 Y=40 K=0
RGB
PROCESS
193
180
154
C=40 M=45 Y=50 K=5
RGB
PROCESS
154
132
121
C=50 M=50 Y=60 K=25
RGB
PROCESS
113
101
88
C=55 M=60 Y=65 K=40
RGB
PROCESS
90
74
66
C=25 M=40 Y=65 K=0
RGB
PROCESS
195
153
107
C=30 M=50 Y=75 K=10
RGB
PROCESS
168
124
79
C=35 M=60 Y=80 K=25
RGB
PROCESS
138
93
59
C=40 M=65 Y=90 K=35
RGB
PROCESS
117
76
40
C=40 M=70 Y=100 K=50
RGB
PROCESS
96
56
19
C=50 M=70 Y=80 K=70
RGB
PROCESS
59
35
20
R=197 G=197 B=197
PROCESS
100.000000
RGB
196
196
196
R=49 G=50 B=52
PROCESS
100.000000
RGB
49
49
52
R=216 G=114 B=164
PROCESS
100.000000
RGB
216
114
163
R=142 G=98 B=177
PROCESS
100.000000
RGB
142
98
177
R=132 G=152 B=31
PROCESS
100.000000
RGB
131
151
31
R=153 G=166 B=55
PROCESS
100.000000
RGB
153
165
54
R=61 G=89 B=11
PROCESS
100.000000
RGB
61
89
10
R=103 G=69 B=2
PROCESS
100.000000
RGB
103
68
1
R=85 G=116 B=26
PROCESS
100.000000
RGB
84
116
26
R=58 G=45 B=0
PROCESS
100.000000
RGB
58
45
0
R=97 G=78 B=22
PROCESS
100.000000
RGB
96
77
22
R=42 G=31 B=0
PROCESS
100.000000
RGB
42
31
0
R=125 G=88 B=19
PROCESS
100.000000
RGB
124
87
19
R=50 G=38 B=0
PROCESS
100.000000
RGB
49
38
0
R=107 G=86 B=27
PROCESS
100.000000
RGB
107
86
26
R=166 G=124 B=106
PROCESS
100.000000
RGB
165
124
105
R=147 G=97 B=75
PROCESS
100.000000
RGB
147
96
75
R=12 G=13 B=17
PROCESS
100.000000
RGB
12
12
17
R=192 G=230 B=255
PROCESS
100.000000
RGB
191
230
255
R=50 G=194 B=255
PROCESS
100.000000
RGB
49
193
255
R=28 G=125 B=227
PROCESS
100.000000
RGB
28
124
226
R=157 G=221 B=229
PROCESS
100.000000
RGB
156
221
228
R=0 G=88 B=224
PROCESS
100.000000
RGB
0
87
223
R=184 G=232 B=237
PROCESS
100.000000
RGB
184
232
237
R=224 G=177 B=116
PROCESS
100.000000
RGB
223
177
116
R=230 G=186 B=123
PROCESS
100.000000
RGB
230
186
123
R=174 G=75 B=71
PROCESS
100.000000
RGB
174
75
70
R=93 G=78 B=62
PROCESS
100.000000
RGB
93
77
61
R=180 G=100 B=19
PROCESS
100.000000
RGB
179
100
19
R=164 G=87 B=10
PROCESS
100.000000
RGB
163
86
10
R=175 G=97 B=13
PROCESS
100.000000
RGB
175
96
12
R=162 G=85 B=9
PROCESS
100.000000
RGB
161
84
8
R=192 G=55 B=63
PROCESS
100.000000
RGB
191
54
63
R=188 G=110 B=57
PROCESS
100.000000
RGB
188
110
56
R=250 G=181 B=149
PROCESS
100.000000
RGB
249
181
149
R=253 G=203 B=169
PROCESS
100.000000
RGB
253
202
168
R=255 G=194 B=14
PROCESS
100.000000
RGB
255
193
14
R=207 G=224 B=202
PROCESS
100.000000
RGB
207
223
202
R=80 G=65 B=53
PROCESS
100.000000
RGB
80
65
52
R=183 G=73 B=68
PROCESS
100.000000
RGB
182
73
68
R=219 G=96 B=91
PROCESS
100.000000
RGB
219
96
91
R=161 G=211 B=227
PROCESS
100.000000
RGB
161
211
226
R=179 G=223 B=240
PROCESS
100.000000
RGB
179
223
239
R=178 G=49 B=68
PROCESS
100.000000
RGB
177
49
68
R=186 G=53 B=66
PROCESS
100.000000
RGB
186
52
66
R=33 G=135 B=159
PROCESS
100.000000
RGB
33
135
158
R=37 G=139 B=171
PROCESS
100.000000
RGB
36
138
170
R=149 G=80 B=12
PROCESS
100.000000
RGB
149
80
12
R=88 G=79 B=72
PROCESS
100.000000
RGB
87
79
72
R=95 G=181 B=182
PROCESS
100.000000
RGB
94
181
182
R=254 G=215 B=180
PROCESS
100.000000
RGB
253
214
179
R=254 G=153 B=125
PROCESS
100.000000
RGB
253
153
124
R=249 G=118 B=94
PROCESS
100.000000
RGB
249
117
93
R=230 G=230 B=230
PROCESS
100.000000
RGB
31
31
31
R=0 G=90 B=137
PROCESS
100.000000
RGB
255
255
255
R=37 G=77 B=89 1
RGB
PROCESS
37
77
89
R=129 G=139 B=215
PROCESS
100.000000
RGB
129
139
215
R=247 G=0 B=131 1
RGB
PROCESS
247
0
131
R=253 G=44 B=77 1
RGB
PROCESS
253
44
77
R=30 G=235 B=203 1
RGB
PROCESS
30
235
203
R=237 G=28 B=36 1
RGB
PROCESS
237
28
36
C=75 M=100 Y=0 K=0
RGB
PROCESS
102
69
148
R=88 G=39 B=7 1
RGB
PROCESS
88
39
7
HKS 03 Z
PROCESS
100.000000
RGB
255
241
0
HKS 05 Z
PROCESS
100.000000
RGB
255
203
4
HKS 10 Z
PROCESS
100.000000
RGB
244
121
32
HKS 07 Z
PROCESS
100.000000
RGB
248
156
27
HKS 04 Z
PROCESS
100.000000
RGB
255
212
0
HKS 06 Z
PROCESS
100.000000
RGB
253
184
19
HKS 89 Z kopie
PROCESS
100.000000
RGB
188
172
153
HKS 52 Z kopie
PROCESS
100.000000
RGB
0
169
164
HKS 59 Z
PROCESS
100.000000
RGB
0
149
158
HKS 13 Z
PROCESS
100.000000
RGB
239
64
35
HKS 92 Z
PROCESS
100.000000
RGB
116
131
146
HKS 93 Z kopie
PROCESS
100.000000
RGB
66
87
105
HKS 93 Z kopie 2
PROCESS
100.000000
RGB
66
87
105
Íîâûé îáðàçåö öâåòà 24
PROCESS
100.000000
RGB
84
54
35
Íîâûé îáðàçåö öâåòà 19
PROCESS
100.000000
RGB
165
119
89
Íîâûé îáðàçåö öâåòà 1
PROCESS
100.000000
RGB
186
170
221
R=169 G=155 B=211
RGB
PROCESS
169
155
211
Íîâûé îáðàçåö öâåòà 31
PROCESS
100.000000
RGB
68
49
114
Íîâûé îáðàçåö öâåòà 11
PROCESS
100.000000
RGB
151
131
195
Íîâûé îáðàçåö öâåòà 43
PROCESS
100.000000
RGB
54
35
98
Íîâûé îáðàçåö öâåòà 38
PROCESS
100.000000
RGB
42
24
86
Íîâûé îáðàçåö öâåòà 21
PROCESS
100.000000
RGB
221
128
70
Íîâûé îáðàçåö öâåòà 14
PROCESS
100.000000
RGB
135
0
0
Íîâûé îáðàçåö öâåòà 13
PROCESS
100.000000
RGB
160
0
0
Íîâûé îáðàçåö öâåòà 42
PROCESS
100.000000
RGB
244
161
107
Íîâûé îáðàçåö öâåòà 15
PROCESS
100.000000
RGB
251
147
147
Íîâûé îáðàçåö öâåòà 41
PROCESS
100.000000
RGB
226
24
24
Íîâûé îáðàçåö öâåòà 17
PROCESS
100.000000
RGB
198
3
3
Íîâûé îáðàçåö öâåòà 6
PROCESS
100.000000
RGB
175
96
144
Íîâûé îáðàçåö öâåòà 20
PROCESS
100.000000
RGB
110
33
63
Íîâûé îáðàçåö öâåòà 18
PROCESS
100.000000
RGB
65
10
59
Íîâûé îáðàçåö öâåòà 28
PROCESS
100.000000
RGB
126
42
73
Íîâûé îáðàçåö öâåòà 25
PROCESS
100.000000
RGB
133
45
79
Íîâûé îáðàçåö öâåòà 9
PROCESS
100.000000
RGB
251
98
98
Íîâûé îáðàçåö öâåòà 3
PROCESS
100.000000
RGB
244
75
75
Íîâûé îáðàçåö öâåòà 36
PROCESS
100.000000
RGB
223
38
38
Íîâûé îáðàçåö öâåòà 34
PROCESS
100.000000
RGB
138
163
1
Íîâûé îáðàçåö öâåòà 4
PROCESS
100.000000
RGB
86
98
19
Íîâûé îáðàçåö öâåòà 10
PROCESS
100.000000
RGB
135
3
3
Íîâûé îáðàçåö öâåòà 35
PROCESS
100.000000
RGB
181
1
1
Íîâûé îáðàçåö öâåòà 2
PROCESS
100.000000
RGB
167
195
0
Íîâûé îáðàçåö öâåòà 22
PROCESS
100.000000
RGB
117
130
47
Íîâûé îáðàçåö öâåòà 50
PROCESS
100.000000
RGB
103
130
47
Íîâûé îáðàçåö öâåòà 49
PROCESS
100.000000
RGB
89
119
24
Íîâûé îáðàçåö öâåòà 5
PROCESS
100.000000
RGB
102
80
153
Íîâûé îáðàçåö öâåòà 33
PROCESS
100.000000
RGB
63
49
114
Íîâûé îáðàçåö öâåòà 48
PROCESS
100.000000
RGB
89
114
33
Íîâûé îáðàçåö öâåòà 7
PROCESS
100.000000
RGB
128
96
91
Íîâûé îáðàçåö öâåòà 27
PROCESS
100.000000
RGB
102
63
54
Íîâûé îáðàçåö öâåòà 52
PROCESS
100.000000
RGB
84
47
40
Íîâûé îáðàçåö öâåòà
PROCESS
100.000000
RGB
137
66
45
Íîâûé îáðàçåö öâåòà 26
PROCESS
100.000000
RGB
59
28
26
Íîâûé îáðàçåö öâåòà 12
PROCESS
100.000000
RGB
26
8
8
Íîâûé îáðàçåö öâåòà 54
PROCESS
100.000000
RGB
33
12
12
Íîâûé îáðàçåö öâåòà 16
PROCESS
100.000000
RGB
45
19
19
Íîâûé îáðàçåö öâåòà 40
PROCESS
100.000000
RGB
98
45
28
Íîâûé îáðàçåö öâåòà 32
PROCESS
100.000000
RGB
163
82
59
Íîâûé îáðàçåö öâåòà 39
PROCESS
100.000000
RGB
114
52
33
Íîâûé îáðàçåö öâåòà 8
PROCESS
100.000000
RGB
186
182
182
Íîâûé îáðàçåö öâåòà 51
PROCESS
100.000000
RGB
255
255
255
Íîâûé îáðàçåö öâåòà 23
PROCESS
100.000000
RGB
228
228
228
Íîâûé îáðàçåö öâåòà 29
PROCESS
100.000000
RGB
204
204
204
Íîâûé îáðàçåö öâåòà 46
PROCESS
100.000000
RGB
186
147
93
Íîâûé îáðàçåö öâåòà 53
PROCESS
100.000000
RGB
251
235
214
Íîâûé îáðàçåö öâåòà 45
PROCESS
100.000000
RGB
230
193
142
Íîâûé îáðàçåö öâåòà 47
PROCESS
100.000000
RGB
240
207
158
R=89 G=52 B=7 1
RGB
PROCESS
89
52
7
R=255 G=244 B=230 1
RGB
PROCESS
255
244
230
R=59 G=32 B=26 1
RGB
PROCESS
59
32
26
R=229 G=211 B=189 1
RGB
PROCESS
229
211
189
R=94 G=46 B=44 1
RGB
PROCESS
94
46
44
R=52 G=52 B=61 1
RGB
PROCESS
52
52
61
R=255 G=153 B=85 1
RGB
PROCESS
255
153
85
R=147 G=224 B=255 1
RGB
PROCESS
147
224
255
Íîâûé îáðàçåö öâåòà 30
PROCESS
100.000000
RGB
207
201
244
ANPA 747-0 AdPro
SPOT
100.000000
LAB
83.921570
9
62
C=0 M=100 Y=100 K=0
PROCESS
100.000000
RGB
200
19
36
C=0 M=100 Y=100 K=51
PROCESS
100.000000
RGB
117
12
22
C=0 M=100 Y=100 K=33
PROCESS
100.000000
RGB
147
10
26
R=255 G=226 B=116 1
RGB
PROCESS
255
226
116
R=255 G=247 B=204
PROCESS
100.000000
RGB
255
246
204
R=255 G=246 B=219
PROCESS
100.000000
RGB
255
246
219
R=0 G=77 B=92
PROCESS
100.000000
RGB
0
77
91
R=0 G=235 B=170
PROCESS
100.000000
RGB
0
235
170
R=34 G=86 B=125
PROCESS
100.000000
RGB
33
86
124
R=19 G=31 B=73
PROCESS
100.000000
RGB
19
31
73
R=232 G=153 B=153
PROCESS
100.000000
RGB
232
153
153
R=20 G=107 B=135
PROCESS
100.000000
RGB
19
107
135
R=209 G=95 B=94
PROCESS
100.000000
RGB
209
94
93
R=232 G=166 B=153
PROCESS
100.000000
RGB
232
165
153
R=0 G=184 B=196
PROCESS
100.000000
RGB
0
184
195
R=131 G=247 B=199
PROCESS
100.000000
RGB
131
246
198
R=254 G=170 B=15
PROCESS
100.000000
RGB
253
170
15
R=251 G=224 B=139 1
RGB
PROCESS
251
224
139
R=255 G=208 B=165 1
RGB
PROCESS
255
208
165
R=220 G=80 B=126 1
RGB
PROCESS
220
80
126
Grays
0
C=0 M=0 Y=0 K=100
RGB
PROCESS
35
31
32
C=0 M=0 Y=0 K=90
RGB
PROCESS
64
64
65
C=0 M=0 Y=0 K=80
RGB
PROCESS
88
89
91
C=0 M=0 Y=0 K=70
RGB
PROCESS
109
110
112
C=0 M=0 Y=0 K=60
RGB
PROCESS
128
129
132
C=0 M=0 Y=0 K=50
RGB
PROCESS
146
148
151
C=0 M=0 Y=0 K=40
RGB
PROCESS
166
168
171
C=0 M=0 Y=0 K=30
RGB
PROCESS
187
189
191
C=0 M=0 Y=0 K=20
RGB
PROCESS
208
210
211
C=0 M=0 Y=0 K=10
RGB
PROCESS
230
231
232
C=0 M=0 Y=0 K=5
RGB
PROCESS
241
241
242
Brights
0
C=0 M=100 Y=100 K=0
RGB
PROCESS
236
28
36
C=0 M=75 Y=100 K=0
RGB
PROCESS
241
101
34
C=0 M=10 Y=95 K=0
RGB
PROCESS
255
221
21
C=85 M=10 Y=100 K=0
RGB
PROCESS
0
161
75
C=100 M=90 Y=0 K=0
RGB
PROCESS
34
64
153
C=60 M=90 Y=0 K=0
RGB
PROCESS
127
63
151
pikepdf 4.3.1
False
PDF/X-4
PDF/X-4
Kids AcademyGrade 1, Math, Addition & Subtraction
endstream
endobj
4 0 obj
<< /N 4 /Length 383978 /Filter /FlateDecode >>
stream
xPS]((*bAEl(
X ET(H=+HB)6+k9{{+'fg^$@A@=@EcHLr-M9??kI^LI-N6o_ds'@Ix=\XilnAix{@Ļ6&Mn6)X&Զus wA -1&5qw~"85q]d̡0gG5p*DQfzqc@J~Rc$[:{(ԝ s%)3@ޛ˦NXfN9syisrDW2ʙjP(^?EpDx@/,q.͒-(_6vN@EMd)U!кCa#G]sG=; _N|OJ:)oگ3d}~6U'
M_B;`u
CHL>6w8 xIKs(oh=S"9'|Wp䬴Sf(EjzfvAE闲*z
QQ7QpհG7j:Ժ-}OGP羮Оޘ'QCa)iيs5#}ό]pK.suڸ5.7;.AC㣚ǍOZv>ybWO^ykޟv5[?sI;_Sܘ1i36͌JUd
/Xa0nϢxXwU+b5onK*WFڽ#eS惞^[ߺ{/7߈P@Ϯݍ{A{~AF(-NEӢhf,(7Lx\/3_T$mri.