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In advance of the 1936Presidential Election, a magazine titled Literary Digest released the results of an opinion poll predicting that the republican candidate Alf Landon would win by a large margin. The magazine sent post cards to approximately 10,000,000prospective voters. These prospective voters were selected from the subscription list of the magazine, from automobile registration lists, from phone lists, and from club membership lists. Approximately 2,300,000people returned the postcards.

a. Think about the state of the United States in 1936. Explain why a sample chosen from magazine subscription lists, automobile registration lists, phone books, and club membership lists was not representative of the population of the United States at that time.

b. What effect does the low response rate have on the reliability of the sample?

c. Are these problems examples of sampling error or non sampling error?

d. During the same year, George Gallup conducted his own poll of 30,000prospective voters. These researchers used a method they called "quota sampling" to obtain survey answers from specific subsets of the population. Quota sampling is an example of which sampling method described in this module?

Short Answer

Expert verified

(a) The chosen sample is not representative of the population of the United States.

(b) Due to low responses to the respondents, there are huge chances that the conclusion of the study will go wrong.

(c) Since the respondents of the selected sample refused to respond to the survey, hence it is a sampling error.

(d) Quota sampling is an example of a non-probabilistic version.

Step by step solution

01

Definition 

Quota sampling is a sampling approach that collects data from a homogeneous set of people.

Non-probabilistic sampling method is each subgroup is included and incorporated in the final sample.

02

Explanation (part a)

The lists selected to choose the sample from cover the rich and the affluent people of US, in no manner does it represent the average, middle class or poor citizens of US who are the prospective voters too, hence these lists fail to be the correct representation of the population of US at that time.

03

Explanation (part b)

The low response rate fails to give the true picture of the preference of the public for voting. There may be some who do not want any of the available options, there may be people who would prefer another party, or there may be many other scenarios involved which would be clearly visible only when all the people respond to the survey and provide the true picture of the polls. Hence low response rate leads to less reliable results.

04

Explanation (part c)

The error caused due to the non-response of the subjects in the sample is not caused due to some flaw in the sampling design. Hence it cannot be considered to be a sampling error. Since it is caused by other reasons or other influencing factors, the error of no-response is considered to be a non-sampling error.

05

Explanation (part d)

In this method, each subgroup is included and incorporated in the final sample. The proportions of all subgroups with respect to the population are considered while selecting the final sample, thus even if the subgroup is small or negligible, it gets shown in the final sample. That is the reason why it is considered to be a non-probabilistic sampling technique.

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Most popular questions from this chapter

Political pollsters may be interested in the proportion of people who will vote for a particular cause.

1.11 You are going to use the random number generator to generate different types of samples from the data.

This table displays six sets of quiz scores (each quiz counts 10 points) for an elementary statistics class.

Instructions: Use the Random Number Generator to pick samples.

1. Create a stratified sample by column. Pick three quiz scores randomly from each column.

鈼 Number each row one through ten.

鈼 On your calculator, press Math and arrow over to PRB.

鈼 For column 1, Press 5:randInt( and enter 1,10). Press ENTER. Record the number. Press ENTER 2 more

times (even the repeats). Record these numbers. Record the three quiz scores in column one that correspond

to these three numbers.

鈼 Repeat for columns two through six.

鈼 These 18 quiz scores are a stratified sample.

2. Create a cluster sample by picking two of the columns. Use the column numbers: one through six.

鈼 Press MATH and arrow over to PRB.

鈼 Press 5:randInt( and enter 1,6). Press ENTER. Record the number. Press ENTER and record that number.

鈼 The two numbers are for two of the columns.

鈼 The quiz scores (20 of them) in these 2 columns are the cluster sample.

3. Create a simple random sample of 15 quiz scores.

鈼 Use the numbering one through 60.

鈼 Press MATH. Arrow over to PRB. Press 5:randInt( and enter 1, 60).

鈼 Press ENTER 15 times and record the numbers.

鈼 Record the quiz scores that correspond to these numbers.

鈼 These 15 quiz scores are the systematic sample.

4. Create a systematic sample of 12 quiz scores.

鈼 Use the numbering one through 60.

鈼 Press MATH. Arrow over to PRB. Press 5:randInt( and enter 1, 60).

鈼 Press ENTER. Record the number and the first quiz score. From that number, count ten quiz scores and

record that quiz score. Keep counting ten quiz scores and recording the quiz score until you have a sample

of 12 quiz scores. You may wrap around (go back to the beginning).

Use the following data to answer the next five exercises: A pair of studies was performed to measure the effectiveness of a new software program designed to help stroke patients regain their problem-solving skills. Patients were asked to use the software program twice a day, once in the morning and once in the evening. The studies observed 200stroke patients recovering over a period of several weeks. The first study collected the data in Table 1.31. The second study collected the data in Table 1.32.

Patients who used the software were also a part of an exercise program whereas patients who did not use the software were not. Does this change the validity of the conclusions from Exercise 1.31?

A scholarly article about response rates begins with the following quote:

鈥淒eclining contact and cooperation rates in random digit dial (RDD) national telephone surveys raise serious concerns about the validity of estimates drawn from such research.鈥[6]The Pew Research Center for People and the Press admits: 鈥淭he percentage of people we interview 鈥 out of all we try to interview 鈥 has been declining over the past decade or more.鈥[7]

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A study was done to determine the age, number of times per week, and the duration (amount of time) of residents using a local park in San Antonio, Texas. The first house in the neighborhood around the park was selected randomly, and then the resident of every eighth house in the neighborhood around the park was interviewed.

The sampling method was

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