© 2013 Pearson Education, Inc. Active Learning Lecture Slides For use with Classroom Response Systems Introductory Statistics: Exploring the World through Data, 1e by Gould and Ryan Chapter 7: Survey Sampling and Inference Slide 7 - 1

True or False A population is a group of objects or people we wish to study. A. True B. False Slide © 2013 Pearson Education, Inc.

A numerical value that characterizes some aspect of a population is called a A. statistic. B. census. C. parameter. D. sample. Slide © 2013 Pearson Education, Inc.

A survey in which every member of the population is measured is called a A. statistic. B. sample. C. estimator. D. census. Slide © 2013 Pearson Education, Inc.

True or False A sample is a collection of people or objects taken from the population of interest. A. True B. False Slide © 2013 Pearson Education, Inc.

A numerical characteristic of a sample of data is called a A. statistic. B. sample. C. estimator. D. census. Slide © 2013 Pearson Education, Inc.

True or False We use parameters to estimate statistics. A. True B. False Slide © 2013 Pearson Education, Inc.

True or False Statistics are sometimes called estimators, and the numbers that result are called estimates. A. True B. False Slide © 2013 Pearson Education, Inc.

True or False Statistical inference is the art and science of drawing conclusions about a population on the basis of observing only a small subset of that population. A. True B. False Slide © 2013 Pearson Education, Inc.

True or False Statistical inference always involves uncertainty. A. True B. False Slide © 2013 Pearson Education, Inc.

True or False An important difference between statistics and parameters is that parameters are knowable. A. True B. False Slide © 2013 Pearson Education, Inc.

True or False Statisticians have developed notation for keeping track of parameters and statistics. In general, Greek characters are used to represent population parameters. Statistics (estimates based on a sample) are represented by English letters. A. True B. False Slide © 2013 Pearson Education, Inc.

In which way(s) can bias (a tendency to produce an untrue value) enter a survey A. from taking a sample that is not representative of he population B. from asking questions that do not produce a true answer C. from statistics that are naturally biased D. All of the above Slide © 2013 Pearson Education, Inc.

Internet polls suffer because people tend to respond to such surveys only if they have strong feelings about the results; otherwise, why bother? This is sometimes called A. measurement bias B. nonresponse bias C. voluntary-response bias D. natural bias Slide © 2013 Pearson Education, Inc.

A more subtle form of bias happens when those being surveyed fail to answer a question or respond to a survey. This is called A. measurement bias B. nonresponse bias C. voluntary-response bias D. natural bias Slide © 2013 Pearson Education, Inc.

When reading about a survey, it is important to know A. what percentage of people who were asked to participate actually did so B. whether the researchers chose people to participate in the survey or people themselves chose to participate C. the size of the population D. Both A and B above Slide © 2013 Pearson Education, Inc.

True or False Statisticians evaluate the method used for a survey, not the outcome of a single survey. A. True B. False Slide © 2013 Pearson Education, Inc.

True or False No matter how many different samples we take, the value of p (the population proportion) changes from sample to sample, but the value of is always the same. A. True B. False Slide © 2013 Pearson Education, Inc.

The probability distribution of has a special name: A. population distribution B. sampling distribution C. probability density function D. standard normal distribution Slide © 2013 Pearson Education, Inc.

True or False Bias is measured using the center of the sampling distribution: It is the distance between the center and the population value. A. True B. False Slide © 2013 Pearson Education, Inc.

True or False Precision is measured using the standard deviation of the sampling distribution, which is called the standard error. When the standard error is small, we say the estimator is precise. A. True B. False Slide © 2013 Pearson Education, Inc.

True or False The precision of an estimator does not depend on the size of the population; it depends only on the sample size. An estimator based on a sample size of 10 is just as precise in a population of 1000 people as in a population of a million. A. True B. False Slide © 2013 Pearson Education, Inc.

True or False Surveys based on larger sample sizes have larger standard error (Se) and therefore less precision. Increasing the sample size decreases precision. A. True B. False Slide © 2013 Pearson Education, Inc.

Which of the following condition(s) on the sample must be met for applying the Central Limit Theorem for estimating proportions in a population? A. Random and Independent B. Large Sample C. Big Population D. All of the above Slide © 2013 Pearson Education, Inc.

True or False If you don’t know the value of p, then you can substitute the value of to calculate the standard error. A. True B. False Slide © 2013 Pearson Education, Inc.

True or False If you don’t know the value of p, then you can substitute the value of to calculate the expected number of successes and failures, when checking that the sample size is large enough. A. True B. False Slide © 2013 Pearson Education, Inc.

The condition that the population must be “big” is satisfied if the population is A. twice the sample size B. five times the sample size C. ten times the sample size D. twenty times the sample size Slide © 2013 Pearson Education, Inc.

True or False If the conditions of a survey sample satisfy those required by the ClT, then the probability that a sample proportion will fall within two standard errors of the population value is 67%. A. True B. False Slide © 2013 Pearson Education, Inc.

True or False The confidence level measures the capture rate for our method of finding confidence intervals. A. True B. False Slide © 2013 Pearson Education, Inc.

True or False It is correct to say that a particular confidence interval has a 95% (or any other percent) chance of including the true population parameter. A. True B. False Slide © 2013 Pearson Education, Inc.

True or False It is correct to say that the process that produces intervals captures the true population parameter with a 95% probability. A. True B. False Slide © 2013 Pearson Education, Inc.