TEST BANK For Introduction to Statistical Investigations, 2nd Edition by Nathan Tintle; Beth L. Chance, Verified Chapters 1 - 11, Complete Newest Version

TEST BANK l#




Introduction to Statistical Investigations,
l# l# l#




2nd Edition by Tintle Chance
l# l# l#




Chapters 1 - 11, Complete
l# l# l# l#




TABLE OF CONTENTS
g g



l FOR l#INSTRUCTOR l#USE
#
l#ONLY

, Chapter 1 – Significance: How Strong is the Evidence
#
l #
l #
l #
l l# #
l #
l #
l




l # Chapter 2 – #
l #
l




Generalization: How Broadly Do the Results Apply?
#
l #
l #
l #
l #
l #
l




Chapter 3 – Estimation: How Large is the Effect?
#
l #
l #
l #
l l# #
l #
l #
l




Chapter 4 – Causation: Can We Say What Caused the
#
l #
l #
l #
l #
l #
l #
l #
l #
l




Effect? Chapter 5 – Comparing Two Proportions
#
l l # #
l #
l #
l #
l #
l




Chapter 6 – Comparing Two Means
#
l #
l #
l #
l #
l




Chapter 7 – Paired Data: One Quantitative Variable
#
l #
l #
l #
l #
l #
l #
l




l# Chapter 8 – Comparing More Than Two Proportions
#
l #
l #
l #
l #
l #
l #
l




l# Chapter 9 – Comparing More Than Two Means
#
l #
l #
l #
l #
l #
l #
l




l# Chapter 10 – Two Quantitative Variables
#
l #
l #
l #
l #
l




Chapter 11 – Modeling Randomness
#
l #
l #
l #
l




l FOR l#INSTRUCTOR l#USE
#
l#ONLY

, Chapter 1 l#




Note: l# l# TE l# = l# l # Text l#entry TE-N l#= l#Text l#entry
l# - l# NumericMa l# = l# l # Matching MS l# = l# Multiple
l# select l# MC l# = l# l# Multiple l#choice TF l#=
l# True-

FalseE l#= l#Easy, l#M l#= l#Medium, l#Hg= l#Hard


CHAPTER 1 LEARNING OBJECTIVES
g #
l #
l


CLO1-1: l#Use l#the l#chance l#model l#to l#determine l#whether l#an l#observed l#statistic l#is
unlikely l#to l#occur. l # CLO1-2: l#Calculate l#andginterpret l#agp-
l#

value, l#and l#state l#the l#strength l#of l#evidence l#it l#provides l#againstthe l#null l#hypothesis.
CLO1
- 3: l#Calculate l#a l#standardized l#statistic l#for l#a l#single l#proportion l#and l#evaluate l#the
l#strength l#ofevidence l # it l#provides l#against l#a l#null l#hypothesis.




CLO1 4: l#Describe l#how l#the l#distance l#of l#the l#observed l#statistic l#from l#the l#parameter l#value
- l#specifiedby l#the l#null l # hypothesis, l#sample l#size, l#andgone- l#vs. l#two-

sided l#tests l#affect l#the l#strength l#of l#evidence l#against l#the l#null l#hypothesis.
CLO1-5: l#Describe l#how l#to l#carry l#out l#a l#theory-based, l#one-proportion l#z-test.



Section 1.1: Introduction to Chance Models
g l# l# l# #
l



LO1.1-1: l#Recognize l#the l#difference l#between l#parameters l#and l#statistics.
LO1.1-2: l#Describe l#how l#to l#use l#coin l#tossing l#to l#simulate l#outcomes l#from l#a l#chance l#model l#of
l#the l#ran- l # domgchoice l#between l#two l#events.


LO1.1-3: l#Use l#the l#One l#Proportion l#applet l#to l#carry l#out l#the l#coin l#tossing
simulation.
l# l # LO1.1-
-


LO1.1
-



LO1.1
l FOR l#INSTRUCTOR l#USE
#
l#ONLY

, 4: l#Identify l#betweengsaying l#the l#chance l#model l#is l#plausible l#and l#the l#chance l#model l#is l#thecorrect
l#whether l#ex l # planation l#for l#the l#observed l#data.

l#or l#not

l#study

l#results

l#are

l#statisticall

y
l#significan

t l#and
l#whether

l#or

l#notgthech

ance
l # modelgis

l#a

l#plausible

l#explanati

on l#for l#the
l#data.




5:
l#Impleme

nt l#the l#3S
l#strategy:

l#find l#a

l#statistic,

l#simulate

l#results

l#from l#a

l#chance

l#model,

l#andcom

ment
l # ongstre

ngthgof
l#evidence

l#againstgo

bserved
l#study

l#results

l#happenin

g l#by
l#chance

l#alone.




6:
l#Differenti

ate
l FOR l#INSTRUCTOR l#USE
#
l#ONLY