Question

In: Statistics and Probability

Bigger sample is not always better – one of the worst statistical mistakes ever made in...

  1. Bigger sample is not always better – one of the worst statistical mistakes ever made in the history of statistics happened in the 1936 U.S. Presidential Election. The incumbent president Franklin Roosevelt of the Democratic Party and Alf Landon of the Republican Party are the two main presidential candidates. Look the event up at this webpage http://www.math.upenn.edu/~deturck/m170/wk4/lecture/case1.html and answer the following questions.
  1. Find the Literary Digest’s pre-election prediction for Roosevelt and Landon, in percentage of popularity vote. (One percentage for Roosevelt and one for Landon.)
  2. Find the 1936 Presidential election result for Roosevelt and Landon, in percentage of popularity vote.

(One percentage for each.)

  1. Find the sample size used by Literary Digest.
  2. The Literary Digest’s sample has a problem with the selection bias. Identify the target population, sampling frame and briefly explain why there was a selection bias.
  3. The Literary Digest’s sample also has a problem with the non-response bias. Report the number of surveys sent, number of surveys received, and calculate the non-response rate (in %).
  4. The Literary Digest’s sample has a problem with the response bias. Mind you that the US is in their eighth year of the Great Depression. Briefly explain how the Great Depression has anything to do with the response bias.
  5. Find the sample size used by George Gallop.
  6. What was his (George Gallup’s) pre-election prediction for Roosevelt, in percentage of popularity vote? (Please look this question (h) up on the internet. The numbers may vary from different sources or web sites. Just pick one and it will not be marked based on the accuracy of the numbers.)

Solutions

Expert Solution

a.) The Literary Digest's pre-election prediction was as follows:

Presidential Candidate   Pre-election prediction by Literary Digest
Alfred Landon 57%
Franklin Roosevelt 43%

b.) The 1936 Presidential election results were as follows:

Presidential Candidate   Election Results
Alfred Landon 38%
Franklin Roosevelt 62%

c.) Literary Digest's sample size was around 2.4 million, making it one of the largest polls ever created.

d.) Literary Digest's target population was the citizens of the United States.

The sampling frame (the source of materials from where the sample is drawn) was composed of:

  • every telephone directory in the United States,
  • magazine subscriptions,
  • rosters of clubs and associations
  • other sources.

The selection bias in this case stemmed from the fact that the mailing list was mostly comprised of middle to upper-class voters, those who had enough money to have things such as magazine subscriptions, memberships to clubs or a telephone which was a luxury at the time.  This in turn excluded the lower-class from the mailing list and therefore from the survey making the sample not representative of the country as a whole.

e.)

Surveys sent: 10 million
Surveys received: 2.4 million
Surveys NOT received: 10 - 2.4 = 7.6 million

Therefore, the non-response rate was:

f.) The people expected to respond to the survey were American citizens voting for the President. Being that American citizens were living through the Great Depression, it is not unconceivable that many were disillusioned with their country and leader. Many could have thought that their country had forsaken them, and therefore, were unwilling to participate in the survey. Another possibility is that they were completely focused on surviving, that they thought of a survey as something insignificant or trivial compared to the rest of life's challenges and therefore did not participate in the survey.

g.) George Gallup used a much smaller sample size of 50,000.

h.) George Gallup's pre-election prediction for Franklin Roosevelt was 56%.


Related Solutions

Business Statistics Common Mistakes in Statistical Studies: Top 6 most common statistical errors made by data...
Business Statistics Common Mistakes in Statistical Studies: Top 6 most common statistical errors made by data scientists Data scientists are the rare breed of professionals who can solve the world’s thorniest problems. The data savvy professionals are believed to be a rare combination of statistical and computational ingenuity, however, these data pros are also prone to mistakes. While we have dived into the makings of a data scientists and covered the topic extensively, it is time to train the gaze...
Discuss the worst presentation you ever attended. What made it so bad? Knowing what you know...
Discuss the worst presentation you ever attended. What made it so bad? Knowing what you know now about planning and presenting, how would you have changed it?
Is it always better to have a long chain than a short one when dealing with...
Is it always better to have a long chain than a short one when dealing with demand uncertainty?
Do you support a position of judicial activism or judicial restraint? Why? Is one always better...
Do you support a position of judicial activism or judicial restraint? Why? Is one always better than the other?
Economic experiments have found that individuals prefer an outcome where no one is made better off...
Economic experiments have found that individuals prefer an outcome where no one is made better off to an outcome where the welfare of only some is improved if that improvement in welfare is unequally distributed. Why do you think this is so?
"The underlying principle of all statistical inference techniques is that one uses sample statistics to learn...
"The underlying principle of all statistical inference techniques is that one uses sample statistics to learn something (i.e., to infer something) about population parameters ." Demonstrate how well you understand this statement by writing a short paragraph describing a situation in which you might use a sample statistic to infer something about a population parameter. Clearly identify the sample, population, statistic, and parameter in your example. Would you use a confidence interval or a hypothesis test? Be as specific as...
A statistical program is recommended. ONE-SAMPLE T TEST : The following observations are on stopping distance...
A statistical program is recommended. ONE-SAMPLE T TEST : The following observations are on stopping distance (ft) of a particular truck at 20 mph under specified experimental conditions. 32.1 30.5 31.6 30.4 31.0 31.9 The report states that under these conditions, the maximum allowable stopping distance is 30. A normal probability plot validates the assumption that stopping distance is normally distributed. a) Determine the probability of a type II error when α = 0.01,σ = 0.65, and the actual value...
This semester we have discussed the following statistical analyses.              Z-test               One-Sample t-test
This semester we have discussed the following statistical analyses.              Z-test               One-Sample t-test                   Independent Groups t-test                  Repeated Measures t-test One-Way ANOVA                             Regression                                           Correlation 1. Research shows that people who do well on the SAT tend to do well in college (they have a higher GPA). Likewise, students who do not do well on the SAT struggle in college (they have a lower GPA). This information is used by college admissions officials to determine if a student should...
Now that you have a better idea about what differentiates a one sample chi square from...
Now that you have a better idea about what differentiates a one sample chi square from an independent samples (two factor) chi square, I want you to come up with one study idea that would use a one sample chi square and one study that would use an independent samples (two factor) chi square. One restriction here: You cannot use your lab study idea
Now that you have a better idea about what differentiates a one sample chi square from...
Now that you have a better idea about what differentiates a one sample chi square from an independent samples (two factor) chi square, I want you to come up with one study idea that would use a one sample chi square and one study that would use an independent samples (two factor) chi square.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT