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Statistics Quiz 13 for Math 453 Spring 2009 - Prof. Raul Cruz-Cano, Quizzes of Statistics

A statistics quiz from math 453 spring 2009, consisting of multiple-choice questions covering topics such as sampling bias, measurement bias, lurking variables, and simple random sampling. Students are expected to identify potential problems with surveys and studies, distinguish between different sampling designs, and understand concepts related to confounding variables.

Typology: Quizzes

Pre 2010

Uploaded on 08/19/2009

koofers-user-dmz
koofers-user-dmz 🇺🇸

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Download Statistics Quiz 13 for Math 453 Spring 2009 - Prof. Raul Cruz-Cano and more Quizzes Statistics in PDF only on Docsity! Math 453 “Statistics” Spring 2009 Quiz #13 Name:_________________________ Problem #1:_________________ Total: __________________ 1. A magazine asks readers to write in saying whether they agree with a statement about dating. What, potentially, is the main problem with this survey? A. Bias due to voluntary response B. Too much variability in the opinions C. Size bias D. A lurking variable E. Bias due to judgment sampling 2. A medical doctor estimates the prevalence of broken arms by studying the records of his own patients. What, potentially, is the main problem with this study? A. Bias due to voluntary response B. Too much variability in the prevalence of broken arms C. Measurement bias D. A lurking variable E. Bias due to convenience sampling 3. Identify which type of sampling design is being used in each scenario. a. A school administrator randomly selects 12 classes from your school and then randomly selects five students from each class to study a school library issue. b. A school administrator uses random numbers to select a sample of 60 students from the roster of students enrolled in your school. c. A school administrator gets a sample of 60 students from your school by randomly selecting 15 freshmen, 15 sophomores, 15 juniors, and 15 seniors. d. A school administrator uses the roster of students enrolled in your school to select a sample of students by randomly choosing a person from among the first 20 and then taking every 20th name on the roster thereafter. 4. Which of the following will produce a simple random sample from the given population? A. Students in a classroom of 36 students: Randomly select 6 students, one from each of 6 rows. B. U.S. Honda Civic owners: Select the first 1500 people who bought a Civic in the United States since January 1 of this year. C. Your statistics class: Select all students whose phone number begins with a randomly chosen digit. D. Teachers in your school: Select all teachers whose last name begins with a randomly chosen letter of the alphabet. E. Students who eat lunch in the school cafeteria: Make a list of students as they enter the cafeteria and randomly select 30 of them using a random number table. 5. Which of the following is not a reason for using sampling? A. Sampling can save time and money. B. Sampling always results in a representative sample. C. Sometimes everything in the sample must be destroyed. D. Sampling can give better accuracy. E. Sampling allows you to spend more time with each individual. 6. What is the key to reducing confounding in an experiment?
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