Introduction to Statistical Investigations,
nd
2 Edition Nathan Tintle; Beth L. Chance
Chapters 1 - 11, Complete
FORoINSTRUCTORoUSEoONLY
,TABLE OF CONTENTS
o o o
Chapter 1 – Significance: How Strong is the Evidence
o o o o o o o o o
Chapter 2 – Generalization: How Broadly Do the Results Apply?
o o o o o o o o o o
Chapter 3 – Estimation: How Large is the Effect?
o o o o o o o o o
Chapter 4 – Causation: Can We Say What Caused the Effect?
o o o o o o o o o o o
Chapter 5 – Comparing Two Proportions
o o o o o o
Chapter 6 – Comparing Two Means
o o o o o o
Chapter 7 – Paired Data: One Quantitative Variable
o o o o o o o o
Chapter 8 – Comparing More Than Two Proportions
o o o o o o o o
Chapter 9 – Comparing More Than Two Means
o o o o o o o o
Chapter 10 – Two Quantitative Variables
o o o o o o
Chapter 11 – Modeling Randomness
o o o o
FORoINSTRUCTORoUSEoONLY
,Chapter 1 o
Note:oooTEo =o Textoentry TE-No=oTextoentryo-
oNumericoMao =o Matching MSo =o Multipleoselect
MCo =o Multipleochoice TFo=oTrue-
FalseoEo=oEasy,oMo=oMedium,oHo=oHard
CHAPTERo1oLEARNINGoOBJECTIVES
CLO1-1:oUseotheochanceomodelotoodetermineowhetheroanoobservedostatisticoisounlikelyotoooccur.
CLO1-2:oCalculateoandointerpretoaop-
value,oandostateotheostrengthoofoevidenceoitoprovidesoagainstotheonullohypothesis.
CLO1-
3:oCalculateoaostandardizedostatisticoforoaosingleoproportionoandoevaluateotheostrengthoofoeviden
ceoitoprovidesoagainstoaonullohypothesis.
CLO1-
4:oDescribeohowotheodistanceoofotheoobservedostatisticofromotheoparameterovalueospecifiedobyotheonu
llohypothesis,osampleosize,oandoone-ovs.otwo-
sidedotestsoaffectotheostrengthoofoevidenceoagainstotheonullohypothesis.
CLO1-5:oDescribeohowotoocarryooutoaotheory-based,oone-proportionoz-test.
Section 1.1: Introduction to Chance Models
o o o o o
LO1.1-1:oRecognizeotheodifferenceobetweenoparametersoandostatistics.
LO1.1-2:oDescribeohowotoouseocoinotossingotoosimulateooutcomesofromoaochanceomodeloofotheoran-
odomochoiceo betweeno twoo events.
LO1.1-3:oUseotheoOneoProportionoappletotoocarryooutotheocoinotossingosimulation.
LO1.1-
4:oIdentifyowhetherooronotostudyoresultsoareostatisticallyosignificantoandowhetherooronototheochanc
eomodeloisoaoplausibleoexplanationoforotheodata.
LO1.1-
5:oImplementotheo3Sostrategy:ofindoaostatistic,osimulateoresultsofromoaochanceomodel,oandocomme
ntoonostrengthoofoevidenceoagainstoobservedostudyoresultsohappeningobyochanceoalone.
LO1.1-
6:oDifferentiateobetweenosayingotheochanceomodeloisoplausibleoandotheochanceomodeloisotheocorrecto
explanationoforotheoobservedodata.
FORoINSTRUCTORoUSEoONLY
, 1-2 TestoBankoforoIntroductionotooStatisticaloInvestigations,o2ndoEdition
Questionso1othrougho4:
DooredouniformowearersotendotoowinomoreooftenothanothoseowearingoblueouniformsoinoTaekwondoo
matchesowhereocompetitorsoareorandomlyoassignedotoowearoeitheroaoredooroblueouniform?oInoaosa
mpleoofo80oTaekwondoomatches,othereowereo45omatchesowhereotheoredouniformowearerowon.
1. Whatoisotheoparameteroofointerestoforothisostudy?
A. Theolong-runoproportionoofoTaekwondoomatchesoinowhichotheoredouniformowearerowins
B. Theoproportionoofomatchesoinowhichotheoredouniformowearerowinsoinoaosampleoofo80oTaekw
ondoomatches
C. Whetherotheoredouniformowearerowinsoaomatch
D.o 0.50
Ans:oA;oLO:o1.1-1;oDifficulty:oEasy;oType:oMC
2. Whatoisotheostatisticoforothisostudy?
A. Theolong-runoproportionoofoTaekwondoomatchesoinowhichotheoredouniformowearerowins
B. Theoproportionoofomatchesoinowhichotheoredouniformowearerowinsoinoaosampleoofo80oTaekw
ondoomatches
C. Whetherotheoredouniformowearerowinsoaomatch
D.o 0.50
Ans:oB;oLO:o1.1-1;oDifficulty:oEasy;oType:oMC
3. Givenobelowoisotheosimulatedodistributionoofotheonumberoofo―redowins‖othatocouldohappenobyochanc
eoaloneoinoaosampleoofo80omatches.oBasedoonothisosimulation,oisoouroobservedoresultostatisticallyosign
ificant?
A. Yes,osinceo45oisolargerothano40.
B. Yes,osinceotheoheightoofotheodotplotoaboveo45oisosmallerothanotheoheightoofotheodotplot
oaboveo40.
C. No,osinceo45oisoaofairlyotypicalooutcomeoifotheocoloroofotheowinner‘souniformowasodeterm
inedobyochanceoalone.
FORoINSTRUCTORoUSEoONLY