# PADM 7060 Quantitative Methods for Public Administration Unit 4 Chapters 11-12

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﻿PADM 7060 Quantitative Methods for Public Administration Unit 4 Chapters 11-12 Jerry Merwin

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Meier, Brudney & Bohte Part IV: Inferential Statistics Unit 4 Chapter 11: Introduction to Inference Chapter 12: Hypothesis Testing Unit 5 Chapter 13: Estimating Population Proportions Chapter 14: Testing the Difference Between Two Groups

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Meier, Brudney & Bohte: Chapter 11 Introduction to Inference Explain the contrast between enlightening measurements and inferential insights.

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Meier, Brudney & Bohte: Chapter 11 Introduction to Inference (Page 2) What are the essential ideas and definitions connected with inferential insights? Populace Parameters Sample Random choice Statistic

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Meier, Brudney & Bohte : Chapter 11 Introduction to Inference (Page 3) How essential is arbitrary determination to the idea of deduction? What are the distinction in parameters and insights? Images (See table 11.1) Calculations Mean? Standard deviation?

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Meier, Brudney & Bohte: Chapter 11 Introduction to Inference (Page 4) How would we appraise the populace mean? (177) What do we mean by testing blunder? In what capacity would we be able to lessen testing blunder? Perfect example size is n  30.

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Meier, Brudney & Bohte: Chapter 11 Introduction to Inference (Page 5) How would we evaluate the populace standard deviation? (see pages 178-179) Why do we compute s with the denominator n-1? In what capacity would we be able to lessen testing mistake?

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Meier, Brudney & Bohte: Chapter 11 Introduction to Inference (Page 6) What is the standard mistake of the mean? (pages 179-180) How would we be able to evaluate the standard mistake of the mean without taking numerous specimens? See the recipe on page 181 Also, take note of the clarification about utilizing the assessed standard deviation as a part of the calculations.

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Meier, Brudney & Bohte: Chapter 11 Introduction to Inference (Page 7) Let's take a gander at the case on page 180 with respect to the Yukon police: The counts for standard blunder of the mean are on page 181 Next, we will discuss how we can utilize this data.

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Meier, Brudney & Bohte: Chapter 11 Introduction to Inference (Page 8) What is the "Understudy's t dispersion" (a.k.a. the t conveyance) Characteristics: With n > = 30 typical dispersion works Resembles ordinary dissemination yet compliment Differs for every specimen estimate Need to know the degrees of opportunity (df)

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Meier, Brudney & Bohte: Chapter 11 Introduction to Inference (Page 9) What is a certainty restrict? How is it ascertained? See equation Using our case from Yukon: First look into the t values in table 3 on 446 (see book concerning why we utilize .025 and d.f. = 4) With the equation, we get 15.6 + (1.7 x 2.78) = 20.3 for as far as possible 15.6 – (1.7 x 2.78) = 10.9 for as far as possible

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Meier, Brudney & Bohte: Chapter 11 Introduction to Inference (Page 10) With this data, what does it inform us concerning as far as possible? 15.6 + (1.7 x 2.78) = 20.3 for as far as possible 15.6 – (1.7 x 2.78) = 10.9 for as far as possible We are 95% sure that…

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Meier, Brudney & Bohte: Chapter 11 Introduction to Inference (Page 11) Problems 11.2, 11.6 11.8

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Meier, Brudney & Bohte : C hapter 12 Hypothesis Testing How is speculation trying identified with hypothesis and research? (Outline graciousness of Dr. Nolan J. Argyle, from the content recorded underneath) David Nachmias & Chava Nachmias, Research Methods in the Social Sciences , second ed. New York: St. Martins Press, 1981, p. 23.

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Meier, Brudney & Bohte: C hapter 12 Hypothesis Testing (Page 2) What is a theory? How is a theory vital to an administrator? Clarify the invalid theory?

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Meier, Brudney & Bohte: Chapter 12 Hypothesis Testing (Page 3) What are the means in speculation testing? Detail the speculation Collect the significant information Evaluate the theory in light of the information Accept or reject the speculation Revise your choices in light of the new data

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Meier, Brudney & Bohte: Chapter 12 Hypothesis Testing (Page 4) What is the essential kind of theory testing we will do in administrative circumstances? Theory testing with tests! Case from Prudeville

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Meier, Brudney & Bohte: Chapter 12 Hypothesis Testing (Page 5) Who can clarify the idea of one-followed and two-followed tests? At the point when do we utilize the one-followed test? Figure 12.1

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Meier, Brudney & Bohte: Chapter 12 Hypothesis Testing (Page 6) What are the two sorts of blunders we can make testing an invalid theory? Sort 1 Type 2 How would we be able to reduction sort 1 mistakes?

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Meier, Brudney & Bohte: Chapter 12 Hypothesis Testing (Page 7) How would we be able to decide test estimate? Consider: The measure of blunder that can be endured The certainty one needs to have in the mistake gauge The standard deviation of the populace

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Meier, Brudney & Bohte: Chapter 12 Hypothesis Testing (Page 8) Problems 12.2, 12.6