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

TESTBANK

, TEST BANK Introduction to Statistical Investigations, 2nd Edition N
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athan Tintle; Beth L. Chance Chapters 1 - 11,
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Complete




TABLEOFCONTENTS w
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Chapter 1 – Significance: How Strong is the Evidence
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Chapter 2 – wq wq




wq Generalization: How Broadly Do the Results Apply? Chapter 3 – wq wq wq wq wq wq wq wq wq




Estimation: How Large is the Effect?
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Chapter 4 – wq wq




wq Causation: Can We Say What Caused the Effect? Chapter 5 –
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Comparing Two Proportions
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Chapter 6 – Comparing Two Means
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Chapter 7 – wq wq




PairedData: OneQuantitative Variable Chapter 8 –
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wq Comparing More Than Two Proportions Chapter 9–
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ComparingMore Than Two Means Chapter 10 –
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TwoQuantitative Variables
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Chapter 11 – Modeling Randomness
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,Chapter 1 w q




Note: TE = Text entry
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wq NumericMa = Matching wq w q




MS = Multiple select w q wq wq wq




MC = Multiple choicewq w q wq TF = True-False
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E = Easy, M = Medium, H = Hard
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CHAPTER 1LEARNING OBJECTIVES wq w
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CLO1-1: Use the chance model to determine whether an observed statistic is unlikely to occur.
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CLO1-2: Calculate and interpret a p-
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value, and state the strength of evidence it provides againstthe null hypothesis.
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CLO1-
3: Calculate a standardized statistic for a single proportion and evaluate the stren
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gth ofevidence it provides against a null hypothesis.
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CLO1-
4: Describe how the distance of the observed statistic from the parameter value spec
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ifiedby the null hypothesis, sample size, and one- vs. two-
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sided tests affect the strength of evidence against the null hypothesis.
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CLO1-5: Describe how to carry out a theory-based, one-proportion z-test.
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Section 1.1: Introduction to Chance Models wq wq wq wq wq




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




LO1.1-3: Use the One Proportion applet to carry out the coin tossing simulation.
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LO1.1-
4: Identify whether or not study results are statistically significant and whether or
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not thechance model is a plausible explanation for the data.
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LO1.1-
5: Implement the 3S strategy: find a statistic, simulate results from a chance mode
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l, and comment on strength of evidence against observed study results happening
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by chance alone.
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LO1.1-

, 6: Differentiate between saying the chance model is plausible and the chance model i
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s thecorrect explanation for the observed data.
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