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Test bank for introduction to statistical investigationsb 2nd edition beth l chance.pdf

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  • Course
  • Introduction to Statistical Investigati
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  • Introduction To Statistical Investigati

Test bank for introduction to statistical investigations 2nd edition beth l Test bank for introduction to statistical investigationsb 2nd edition beth l

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  • October 2, 2024
  • 337
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • Introduction to Statistical Investigati
  • Introduction to Statistical Investigati
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AGRADEPROMASTER
TEST BANK 8 8




Introduction to Statistical Investigations,
8 8 8 8




2nd Edition Nathan Tintle; Beth L. Chance
8 8 8 8 8 8




Chapters 1 - 11, Complete
8 8 8 8 8




FOR8INSTRUCTOR8USE8ONLY

,TABLE OF CONTENTS
8 8 8




Chapter 1 – Significance: How Strong is the Evidence
8 8 8 8 8 8 8 8 8




Chapter 2 – Generalization: How Broadly Do the Results Apply?
8 8 8 8 8 8 8 8 8 8




Chapter 3 – Estimation: How Large is the Effect?
8 8 8 8 8 8 8 8 8




Chapter 4 – Causation: Can We Say What Caused the Effect?
8 8 8 8 8 8 8 8 8 8 8




Chapter 5 – Comparing Two Proportions
8 8 8 8 8 8




Chapter 6 – Comparing Two Means
8 8 8 8 8 8




Chapter 7 – Paired Data: One Quantitative Variable
8 8 8 8 8 8 8 8




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




Chapter 9 – Comparing More Than Two Means
8 8 8 8 8 8 8 8




Chapter 10 – Two Quantitative Variables
8 8 8 8 8 8




Chapter 11 – Modeling Randomness
8 8 8 8




FOR8INSTRUCTOR8USE8ONLY

,Chapter 1 8




Note:888TE8 =8 Text8entry TE-N8=8Text8entry8-
8Numeric8Ma8 =8 Matching MS8 =8 Multiple8select
MC8 =8 Multiple8choice TF8=8True-

False8E8=8Easy,8M8=8Medium,8H8=8Hard


CHAPTER818LEARNING8OBJECTIVES
CLO1-1:8Use8the8chance8model8to8determine8whether8an8observed8statistic8is8unlikely8to8occur.
CLO1-2:8Calculate8and8interpret8a8p-
value,8and8state8the8strength8of8evidence8it8provides8against8the8null8hypothesis.
CLO1-
3:8Calculate8a8standardized8statistic8for8a8single8proportion8and8evaluate8the8strength8of8evid
ence8it8provides8against8a8null8hypothesis.
CLO1-
4:8Describe8how8the8distance8of8the8observed8statistic8from8the8parameter8value8specified8by8the
8null8hypothesis,8sample8size,8and8one-8vs.8two-

sided8tests8affect8the8strength8of8evidence8against8the8null8hypothesis.
CLO1-5:8Describe8how8to8carry8out8a8theory-based,8one-proportion8z-test.


Section 1.1: Introduction to Chance Models
8 8 8 8 8


LO1.1-1:8Recognize8the8difference8between8parameters8and8statistics.
LO1.1-2:8Describe8how8to8use8coin8tossing8to8simulate8outcomes8from8a8chance8model8of8the8ran-
8dom8choice8 between8 two8events.


LO1.1-3:8Use8the8One8Proportion8applet8to8carry8out8the8coin8tossing8simulation.
LO1.1-
4:8Identify8whether8or8not8study8results8are8statistically8significant8and8whether8or8not8the8cha
nce8model8is8a8plausible8explanation8for8the8data.
LO1.1-
5:8Implement8the83S8strategy:8find8a8statistic,8simulate8results8from8a8chance8model,8and8com
ment8on8strength8of8evidence8against8observed8study8results8happening8by8chance8alone.
LO1.1-
6:8Differentiate8between8saying8the8chance8model8is8plausible8and8the8chance8model8is8the8corre
ct8explanation8for8the8observed8data.
FOR8INSTRUCTOR8USE8ONLY

, 1-2 Test8Bank8for8Introduction8to8Statistical8Investigations,82nd8Edition


Questions818through84:
Do8red8uniform8wearers8tend8to8win8more8often8than8those8wearing8blue8uniforms8in8Taekwon
do8matches8where8competitors8are8randomly8assigned8to8wear8either8a8red8or8blue8uniform?8I
n8a8sample8of8808Taekwondo8matches,8there8were8458matches8where8the8red8uniform8wearer8
won.
1. What8is8the8parameter8of8interest8for8this8study?
A. The8long-
run8proportion8of8Taekwondo8matches8in8which8the8red8uniform8wearer8wins
B. The8proportion8of8matches8in8which8the8red8uniform8wearer8wins8in8a8sample8of8808Tae
kwondo8matches
C. Whether8the8red8uniform8wearer8wins8a8match
D.8 0.50
Ans:8A;8LO:81.1-1;8Difficulty:8Easy;8Type:8MC
2. What8is8the8statistic8for8this8study?
A. The8long-
run8proportion8of8Taekwondo8matches8in8which8the8red8uniform8wearer8wins
B. The8proportion8of8matches8in8which8the8red8uniform8wearer8wins8in8a8sample8of8808Tae
kwondo8matches
C. Whether8the8red8uniform8wearer8wins8a8match
D.8 0.50
Ans:8B;8LO:81.1-1;8Difficulty:8Easy;8Type:8MC
3. Given8below8is8the8simulated8distribution8of8the8number8of8―red8wins‖8that8could8happen8by8ch
ance8alone8in8a8sample8of8808matches.8Based8on8this8simulation,8is8our8observed8result8statistica
lly8significant?




A. Yes,8since8458is8larger8than840.
B. Yes,8since8the8height8of8the8dotplot8above8458is8smaller8than8the8height8of8the8dot
plot8above840.
C. No,8since8458is8a8fairly8typical8outcome8if8the8color8of8the8winner‘s8uniform8was8det
FOR8INSTRUCTOR8USE8ONLY

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