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Textbook Notes for Beverly M Reed

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KSUMATH 10041Beverly M ReedSpring

MATH 10041 Chapter Notes - Chapter 10: Dependent And Independent Variables, Contingency Table

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10. 2: chi-square tests for associations between categorical variables. Homogeneity: if we test the association, based on two independent samples, betw
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KSUMATH 10041Beverly M ReedSpring

MATH 10041 Chapter Notes - Chapter 9: Confidence Interval, Statistical Parameter, Jeff Cooper

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KSUMATH 10041Beverly M ReedSpring

MATH 10041 Chapter 6: MATH 10041 Chapter : 6.2 Scratch

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KSUMATH 10041Beverly M ReedSpring

MATH 10041 Chapter Notes - Chapter 7: Normal Distribution, Confidence Interval, Sampling Distribution

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Statistics: a number that is based on data and used to estimate a population parameter: even if the proportions are equal for two populations, the samp
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KSUMATH 10041Beverly M ReedSpring

MATH 10041 Chapter 6: 6.1 Studyguide

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KSUMATH 10041Beverly M ReedSpring

MATH 10041 Chapter 6: 6.1 Textbook

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6. 1: probability distributions are models of random experiments. Probability model: a description of how a statistician thinks data are produced. A di
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KSUMATH 10041Beverly M ReedSpring

MATH 10041 Chapter 4: 4.3 Scratchwork

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KSUMATH 10041Beverly M ReedSpring

MATH 10041 Chapter Notes - Chapter 5: Mutual Exclusivity, Venn Diagram, Empirical Probability

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Probability: is used to measure how often random events occur. Theoretical probability: are long-run relative frequencies: the theoretical probability
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KSUMATH 10041Beverly M ReedSpring

MATH 10041 Chapter 3: 3.3:3.5 SG

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KSUMATH 10041Beverly M ReedSpring

MATH 10041 Chapter 3: Median and IQR

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KSUMATH 10041Beverly M ReedSpring

MATH 10041 Chapter 8: 8.2 Scratch

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KSUMATH 10041Beverly M ReedSpring

MATH 10041 Chapter Notes - Chapter 8: Null Hypothesis, Type I And Type Ii Errors, Statistical Significance

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Learning outcomes math 10041 chapter 8. Significance level as the probability of rejecting a true null hypothesis; Understand that p-value is the proba
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