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Study Guide for Statistics Course: Chapters 6-12 - Prof. Robert B. Gardner, Study notes of Statistics

This study guide provides an overview of the departmental 'skills and knowledge' goals covered in chapters 6-12 of 'basic practice of statistics' by david s. Moore. The guide includes topics such as two-way tables, randomized comparative experiments, probability, and experimental design. Students are encouraged to familiarize themselves with key concepts and vocabulary to prepare for exams.

Typology: Study notes

2009/2010

Uploaded on 02/25/2010

koofers-user-6tj
koofers-user-6tj 🇺🇸

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Download Study Guide for Statistics Course: Chapters 6-12 - Prof. Robert B. Gardner and more Study notes Statistics in PDF only on Docsity! Study Guide, Chapters 6, 8, 9, 10, 12 1 Study Guide, Chapters 6, 8, 9, 10, 12 Basic Practice of Statistics, David S. Moore, 4th Edition Davidson and Gardner, Spring 2009 Chapter 6. Departmental “Skills and Knowledge” Goals. The “Math 1530 Resource Page” (http://www. etsu.edu/math/price/1530/1530link.htm) lists the following goals. 1. Know how to produce a two way table from raw data for two categorical (or categorized) variables. 2. Be able to get marginal and conditional distributions from a two way table. 3. Feel comfortable interpreting ‘row and column percentages’ (conditional distributions) and compare groups based on that interpretation. 4. An association or comparison that holds for all of several groups can reverse direction when the data are combined to form a single group. This reversal is called Simpson’s Paradox. The topics we have emphasized in our class are: two-way table, row variable, column variable, marginal distribution, conditional distribution, Simpson’s Paradox. Chapter 8. Departmental “Skills and Knowledge” Goals. The “Math 1530 Resource Page” lists the following goals. 1. Distinguish between an experiment and a survey. 2. Know the difference between population and a sample. 3. Understand how bias can enter into samples or results. 4. Be familiar with the survey & sampling basic vocabulary including types of random sampling. 5. Know that individuals in the sample have to be randomly selected. 6. Be able to select a simple random sample from a sampling frame. 7. Know the consequences of incomplete/dated sampling frames and non-random sampling. The topics we have emphasized in our class are: observational study, experiment, con- founded variables, population, sample, sampling design, convenience sample, biased design, volun- tary response sample, simple random sample, using a table of random digits (Table B), probability sample, stratified random sample, labeling to create a SRS, multistage sample, undercoverage, and nonresponse response bias. Study Guide, Chapters 6, 8, 9, 10, 12 2 Chapter 9. Departmental “Skills and Knowledge” Goals. The “Math 1530 Resource Page” lists the following goals. 1. Distinguish between an experiment and an observational study. 2. Be familiar with the basic vocabulary of experimental design. 3. Understand what constitutes a randomized comparative experiment. 4. Be able to identify subjects, factors & treatments in a given story. 5. Know the basic types of experimental designs (double blind, completely randomized, block, matched pairs, etcetera). 6. Know the basic principles of Experimental Design: Control, Randomize, Replication. 7. Understand the meaning of statistical significance and when does it imply causation. The topics we have emphasized in our class are: individuals (subjects), factors, treatment, randomized comparative experiment, completely randomized experimental design, control group, statistical significance, placebo/placebo effect, double-blind experiment, block/block design, and matched pairs design. Chapter 10. Departmental “Skills and Knowledge” Goals. The “Math 1530 Resource Page” lists the following goals. 1. Know what a random phenomenon or a random experiment are. 2. Know that chance behavior is unpredictable in the short run but has a regular and predictable pattern in the long run. 3. Be familiar with the basic probability vocabulary (sample space, outcomes, event). 4. Have an intuitive idea of probability (in the long run. . . ) and a more formal idea through the basic rules of probability. 5. Be able to solve simple probability problems. 6. Know what a random variable and a probability distribution are. 7. Be able to interpret and use the information given in a simple probability table for one variable. 8. Be able to answer simple probability questions based on the information given in a two-way table. 9. Know what independent and mutually events are.
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