> cfb{ #bjbjzz 7pVVVVVjjj8\jf(666xzzzzzz$_!LV66666VV4lll6rVVxl6xlll#V]ld0l]!]!l]!Vl66l66666l6666666]!666666666 : 1. Statistics can be used to gain information about populations by examining samplesa. Use random sampling to draw inferences about a population.
i. Explain that generalizations about a population from a sample are valid only if the sample is representative of that population. I
ii. Explain that random sampling tends to produce representative
samples and support valid inferences. I
iii. Use data from a random sample to draw inferences about a population with an unknown characteristic of interest. I
iv. Generate multiple samples (or simulated samples) of the same size to gauge the variation in estimates or predictions. I
I will use random sampling to draw inferences about a population.
I will explain that generalizations about a population from a sample are valid only if the sample is representative of that population.
I will explain that random sampling tends to produce representative samples.
I will explain that random sampling tends to support valid inferences.
I will use data from a random sample to draw inferences about a population with an unknown characteristic of interest.
I will generate multiple samples (or simulated samples) of the same size to gauge the variation.
I will generate multiple samples (or simulated samples) of the same size to gauge predictions.Apply
Comp
Comp
Appl
Synth
Holt, Rinehart, and Winston
P. 174
P. 174175
P. 175
P. 482
Population
1. Statistics can be used to gain information about populations by examining samplesb. Draw informal comparative inferences about two populations.
i. Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the centers by expressing it as a multiple of a measure of variability. I
ii. Use measures of center and measures of variability for numerical data from random samples to draw informal comparative inferences about two populations. II will draw informal comparative inferences about two populations.
I will informally assess the degree of visual overlap of two numerical data distributions with similar variabilities by expressing it as a multiple of a measure of variability.
I will informally assess the degree of visual overlap of two numerical data distributions measuring the difference between the centers by expressing it as a multiple of a measure of variablility.
I will use measures of center of variablility for numerical data from random samples to draw informal comparative inferences about two populations.
Use measures of variability for numerical data from random samples to draw informal comparative inferences about two populations.Eval
Appl
Holt, Rinehart, and Winston
*See index
SFLO may be broken down when needed.
SFLO may be broken down when needed.
1. Modeling geometric figures and relationships leads to informal spatial reasoning and proofA. Draw, construct, and describe geometrical figures and describe the relationships between them.
i. Solve problems involving scale drawings of geometric figures, including computing actual lengths and areas from a scale drawing and reproducing a scale drawing at a different scale. I
ii. Draw (freehand, with ruler and protractor, and with technology) geometric shapes with given conditions. I
iii. Construct triangles from three measures of angles or sides, noticing when the conditions determine a unique triangle, more than one triangle, or no triangle. I
iv. Describe the twodimensional figures that result from slicing
threedimensional figures, as in plane sections of right
rectangular prisms and right rectangular pyramids.
I will draw geometrical figures and describe the relationships between them.
I will construct geometrical figures and describe the relationships between them.
I will describe geometrical figures and describe the relationships between them.
I will solve problems involving scale drawings of geometric figures, including computing actual lengths and areas from a scale drawing
I will solve problems including scale drawings of geometric figures, reproducing a scale drawing at a different scale.
I will draw (freehand, with a ruler and protractor, and with technology) geometric shapes with a given conditions.
I will construct triangles from three measures of angles noticing when the conditions determine a unique triangle.
I will construct triangles from three measures of sides, noticing when the conditions determine a unique triangle.
I will construct triangles from three measures of angles noticing when the conditions determine more than one triangle.
I will construct triangles from three measures of sides, noticing when the conditions determine more than one triangle.
I will construct triangles from three measures of angles noticing when the conditions determine more than no triangle.
I will construct triangles from three measures of sides, noticing when the conditions determine more than no triangle.
I will describe the twodimensional figures that result from slicing threedimensional figures, as in plane sections of right rectangular prisms.
I will describe the twodimensional figures that result from slicing three dimensional figures, as in plane sections of right rectangular pyramids.
Appl
Know
Appl
Know
Appl
Comp
Holt, Rinehart, and Winston
*See index
SFLO may be broken down when needed.
SFLO may be broken down when needed.
Scale factor
Angle
Sides
Geometrical
Figures
Scale drawing
Unique triangle
Twodimensional
Figures
Threedimensional
Figures
Right rectangular
prism
Plane sections2. Equations and expressions model quantitative relationships and phenomenai. Fluently solve word problems leading to equations of the form px + q = r and p(x + q) = r, where p, q, and r are specific rational numbers.
ii. Compare an algebraic solution to an arithmetic solution, identifying the sequence of the operations used in each approach. I
I will fluently solve word problems leading to equations of the form px + q = r and p(x+q) = r, where p, q, and r are specific rational numbers.
I will compare an algebraic solution to an arithmetic solution, identifying the sequence of the operations used in each approach.Apply
CompHolt, Rinehart, and WinstonEquations
Expressions
Quantitative
Relationships
Rationals
numbers
ROCKY FORD CURRICULUM GUIDE
SUBJECT: Math GRADE: 7 TIMELINE: 3 Quarter
Grade Level ExpectationEvidence OutcomeStudentFriendly
Learning ObjectiveLevel of
ThinkingResource Correlation
Academic Vocabulary
Learning Keys, 800.927.0478, HYPERLINK "http://www.learningkeys.org" www.learningkeys.org Page PAGE \* MERGEFORMAT 1
"
ñpbSñpbhEU 5CJOJQJ^JaJhCJOJQJ^JaJ#hEU hEU 5CJOJQJ^JaJh{{5CJOJQJ^JaJ#hEU h<45CJOJQJ^JaJhEU CJOJQJ^JaJ#hEU h5CJOJQJ^JaJh5CJOJQJ^JaJh
h5CJOJQJ^JaJh{{CJOJQJ^JaJ hEU h{{CJOJQJ^JaJU ! " c
d$7$8$H$IfgdVd$IfgdV
&
'
,
.
1
5
:
=
A
F
J
N
S
T
Y
[
v
w
õõõättttfXh/`CJOJQJ^JaJhxCJOJQJ^JaJhEU 5CJOJQJ^JaJ#hEU h<45CJOJQJ^JaJh5CJOJQJ^JaJ h
hhCJOJQJ^JaJh CJOJQJ^JaJhCJOJQJ^JaJh{{CJOJQJ^JaJh
hCJOJQJ^JaJ#hEU h{5CJOJQJ^JaJ
UVWef'

.
/
0
1
6
7
8
9
:
;
<
=
B
C
d$IfgdVC
D
E
F
G
H
I
J
O
P
Q
R
S
T
Z
[
w
~
d$IfgdV
d$Ifgd d$IfgdV
NYZ[]79:;<ʹۯ~pbbPA2hEU 5CJOJQJ^JaJh{{5CJOJQJ^JaJ#hEU h<45CJOJQJ^JaJhEU CJOJQJ^JaJhCJOJQJ^JaJ#hEU h5CJOJQJ^JaJh{{CJOJQJ^JaJ hEU h<4CJOJQJ^JaJhsh#5CJ hEU h{{CJOJQJ^JaJ hEU h#CJOJQJ^JaJ#hEU h{{5CJOJQJ^JaJ#hEU h 5CJOJQJ^JaJ
)kd$$Iflֈ$ !D%0@8 \
8@
t0844
laytEU d$IfgdVZ[\];<=>?@ABCDEF)*+d$IfgdVd$7$8$H$IfgdV<@EF()knϾ~p~bT~TFTF5 hh6CJOJQJ^JaJh6CJOJQJ^JaJhmKhCJOJQJ^JaJhC!CJOJQJ^JaJh{{CJOJQJ^JaJhCJOJQJ^JaJ#hEU h{5CJOJQJ^JaJ#hEU h<45CJOJQJ^JaJhEU CJOJQJ^JaJ hEU h{{CJOJQJ^JaJ#hEU h65CJOJQJ^JaJh65CJOJQJ^JaJhmKh5CJOJQJ^JaJ78d$IfgdV
>±£އyk\M?h CJOJQJ^JaJh 5CJOJQJ^JaJhL5CJOJQJ^JaJhLCJOJQJ^JaJh{{CJOJQJ^JaJhxCJOJQJ^JaJh6CJOJQJ^JaJhmKhCJOJQJ^JaJ h{hCJOJQJ^JaJhCJOJQJ^JaJh<4CJOJQJ^JaJ h{h<4CJOJQJ^JaJ h{hEU CJOJQJ^JaJ
/0123456789:;<=>d$Ifgd d$IfgdV>?defd$IfgdVd$Ifgd >?cdefg'(45dfgjk/0PϽssssssbss hiWoh
qCJOJQJ^JaJ#hEU h
q5CJOJQJ^JaJh
q5CJOJQJ^JaJh
qCJOJQJ^JaJ hEU h
qCJOJQJ^JaJhsh#5CJ#hEU h{{5CJOJQJ^JaJ#hEU h 5CJOJQJ^JaJh CJOJQJ^JaJ h h CJOJQJ^JaJ"fg7)d$IfgdVkd$$Iflֈ$ !D%0@8 \
8@
t0844
laytEU ()*+,./012345hijkd$7$8$H$Ifgd,k !"#$%&'()*d$7$8$H$Ifgd,*+,./0r.\]Id$IfgdXd$7$8$H$IfgdVd$7$8$H$Ifgd,IJK34&'ABCHIJKd$IfgdVd$Ifgd
qd$IfgdXPBCGN[^hirx789ĲĲĲĲĲĲĲĲ䖇xjYxjYx h h CJOJQJ^JaJh CJOJQJ^JaJh 5CJOJQJ^JaJhL5CJOJQJ^JaJhLCJOJQJ^JaJhxCJOJQJ^JaJ#hEU h
q5CJOJQJ^JaJh
q5CJOJQJ^JaJ h
hh CJOJQJ^JaJh
qCJOJQJ^JaJh CJOJQJ^JaJKLMNOPQRSTUVW\]^_`abcdefghinsd$IfgdVstuvwx}~d$IfgdVd$IfgdV
89:d$Ifgd d$IfgdV9:`' ( s u v w x ! !!!!!!!!!""""ζΤܶζsdsVsLhxnfh GO5CJhxCJOJQJ^JaJh 5CJOJQJ^JaJh
q5CJOJQJ^JaJ h
hh CJOJQJ^JaJ hh
qCJOJQJ^JaJ#hEU h
q5CJOJQJ^JaJh CJOJQJ^JaJhsh
q5CJh
qCJOJQJ^JaJ hEU h
qCJOJQJ^JaJ#hEU h 5CJOJQJ^JaJ:GHIJKLMNOPQRSTU[an{d$IfgdVd$IfgdV`7)d$IfgdVkdz$$Iflֈ$ !D%0@8 \
8@
t0844
laytEU `w x !
!!!!!!!!!!!!!!!!d$IfgdVd$7$8$H$Ifgd,!!!""d$IfgdV"""""72(& dgd GOgd GOkd7$$Iflֈ$ !D%0@8 \
8@
t0844
laytEU """"""""")":"D"H"O"Q"Y"Z"`"o"z"{"""""""""""""#ǼֱǼּxiaxiViVihzWh GOmHsHhEU OJQJhzWh GOOJQJmHsHh{h GOh{OJQJh'eh GOh'eOJQJh{{h GO5CJOJQJhEU 5CJH*OJQJhEU 5CJOJQJh{{5CJOJQJhEU 5CJOJQJmHsH#hzWh GO5CJOJQJmHsHh'e5CJOJQJhxjhxU!""""""":"{"""""""""# $Ifgd{ $Ifgd GOgd GO$a$gd GO dgd GO######531/1kd$$Iflֈ$ !D%0@8 \
8@
t0644
laytEU ### #
#'#(#;#O#Q#R#f#g#s#t####ܴܢkZkF&hBdFB*CJOJQJmHnHphu!hShkB*CJOJQJph*jhShkB*CJOJQJUphhkB*CJOJQJph$hWhk0JCJOJQJmHsH#hkB*CJOJQJmHphsH,jhkB*CJOJQJUmHphsH!h?!hkB*CJOJQJph)h?!hkB*CJOJQJmHphsHh GOhzWh GOmHsH######hxnfh GO5CJhxh
hk5jhShkB*CJOJQJUmHnHphu###gd GO51h0:p GO= /!"#$%$$If!vh#v #v\
#v
#v8#v@#v:Vl
t085 5\
5
585@5ytEU $$If!vh#v #v\
#v
#v8#v@#v:Vl
t085 5\
5
585@5ytEU $$If!vh#v #v\
#v
#v8#v@#v:Vl
t085 5\
5
585@5ytEU $$If!vh#v #v\
#v
#v8#v@#v:Vl
t085 5\
5
585@5ytEU $$If!vh#v #v\
#v
#v8#v@#v:Vl
t065 5\
5
585@5ytEU j666666666vvvvvvvvv666666>6666666666666666666666666666666666666666666666666hH6666666666666666666666666666666666666666666666666666666666666666662 0@P`p2( 0@P`p 0@P`p 0@P`p 0@P`p 0@P`p 0@P`p8XV~ OJPJQJ_HmH nH sH tH J`JrNormaldCJ_HaJmH sH tH DA D
Default Paragraph FontRi@R0Table Normal4
l4a(k (
0No List>@>xnf0Header
H$d..xnf0Header Char> @>xnf0Footer
H$d.!.xnf0Footer CharZ@2Z
xnf0Balloon TextdCJOJQJaJmHsHtHNoANxnf0Balloon Text CharCJOJQJ^JaJtStxnf
Table Grid7:V0d.)a.Page Number6U`q6k0 Hyperlink>*B*phPK![Content_Types].xmlN0EHJ@%ǎǢș$زULTB l,3;rØJB+$G]7O٭V$!)O^rC$y@/yH*)UDb`}"qۋJחX^)I`nEp)liV[]1M<OP6r=zgbIguSebORD۫qu gZo~ٺlAplxpT0+[}`jzAV2Fi@qv֬5\ʜ̭NleXdsjcs7f
W+Ն7`gȘJjh(KD
dXiJ؇(x$(:;˹!I_TS1?E??ZBΪmU/?~xY'y5g&/ɋ>GMGeD3Vq%'#q$8K)fw9:ĵ
x}rxwr:\TZaG*y8IjbRcXŻǿI
u3KGnD1NIBs
RuK>V.EL+M2#'fi~Vvl{u8zH
*:(W☕
~JTe\O*tHGHY}KNP*ݾ˦TѼ9/#A7qZ$*c?qUnwN%Oi4=3N)cbJ
uV4(Tn
7_?mٛ{UBwznʜ"ZxJZp;{/<P;,)''KQk5qpN8KGbe
Sd̛\17 pa>SR!
3K4'+rzQ
TTIIvt]Kc⫲K#v5+D~O@%\w_nN[L9KqgVhn
R!y+Un;*&/HrT >>\
t=.Tġ
S; Z~!P9giCڧ!# B,;X=ۻ,I2UWV9$lk=Aj;{AP79s*Y;̠[MCۿhf]o{oY=1kyVV5E8Vk+֜\80X4D)!!?*fv
u"xA@T_q64)kڬuV7t'%;i9s9x,ڎ45xd8?ǘd/Yt&LILJ`& Gt/PK!
ѐ'theme/theme/_rels/themeManager.xml.relsM
0wooӺ&݈Э5
6?$Q
,.aic21h:qm@RN;d`o7gK(M&$R(.1r'JЊT8V"AȻHu}$b{P8g/]QAsم(#L[PK![Content_Types].xmlPK!֧60_rels/.relsPK!kytheme/theme/themeManager.xmlPK!0C)theme/theme/theme1.xmlPK!
ѐ' theme/theme/_rels/themeManager.xml.relsPK]
p ~~~
<>P9"### &+256
C
>fk*IKs:`!""###!"#$%'()*,./01347?Tay{X!@ @H 0(
0(
B
S ?JN
CGimx)DQYfo
'scj}fvYi`l:zs3333333
)DHOQY`oz{s87
S*QEU e)l+D[.}d0BdFHGL?M GOVZF a'emKhrmiWo
q(x{{~<,xC!k@V#1 {<4X9{6Zx6U[x=*AEfV/`V
h@@UnknownG*Ax Times New Roman5Symbol3.*Cx Arial7.@Calibri5..[`)TahomaA$BCambria Math"1h*F.
/.
/!n42qHP ?xnf2!xxTammy SmithhspereOh+'00x
(Tammy SmithNormalhspere2Microsoft Office Word@@³
@yV]@yV].՜.+,D՜.+,8hp
Lewis Central/
Title 8@_PID_HLINKSAtWGhttp://www.learningkeys.org/
!"#$%&'()*+,./012345678:;<=>?@BCDEFGHIJKLMNOPQSTUVWXY[\]^_`adehRoot Entry#V]gData
91TableA]!WordDocument7pSummaryInformation(RDocumentSummaryInformation8ZMsoDataStoreV]#V]WUXEO3PAA==2V]#V]Item
PropertiesU
F Microsoft Word 972003 Document
MSWordDocWord.Document.89q