Sign In
Not register? Register Now!
Pages:
5 pages/≈1375 words
Sources:
1 Source
Style:
MLA
Subject:
Mathematics & Economics
Type:
Coursework
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
$ 25.92
Topic:

Statistics summer work. Mathematics & Economics Coursework

Coursework Instructions:

The assignment is based on the book How to Lie with Statistics by Darrell Huff. It’s a classic, first published in 1954, but you will soon see that the ideas in the book are very relevant today. Please be prepared to submit this assignment on the first day of class when we meet in September. This assignment must be typed.
1. List as many sources of sample bias as you can that are mentioned in Chapter 1 and provide an example of each.
2. What is the advantage of a stratified random sample and what difficulties does it pose, according to Chapter 1?
3. Chapter 3 is titled “The Little Figures That Are Not There.” This chapter discusses at least five different kinds of information that may be missing when we are faced with a claim based in data. Using this information, construct a list of questions that one should consider when presented with a claim based in data.
4. Define a semi-attached figure. Identify some general strategies from Chapter 7 for using a semi-attached figure.
5. Here is an excerpt from a guest commentary column in the Santa Maria Times by Ron Fink (May 17, 2005). Identify as many semi-attached figures you can.
The North [Santa Barbara] County routinely meets state air quality standards and the South Coast does not. Why is that? ... The South Coast doesn’t have any more industrial pollution emitters than does the north. Failure to meet the standard may be connected to the 71 tons of methane that is released daily from natural seeps off of our coastline, not any human activities. You see, the instruments used to measure air contaminates [sic] cannot discriminate between natural and man-made pollutants.
Nature is not perfect when judged by man’s rules for polluting the environment. Anyone with a pollen-associated sinus problem can readily attest to the impact that nature has on our daily lives.
And what about those greenhouse gases, the purported cause of global warming, where do they come from? A major source is volcanoes…. Satellite data after the 1991 eruptions of Mt Pinatubo (the Philippines) and Mt Hudson (Chile) showed a 15-20 percent ozone loss at high latitudes and a greater than 50 percent loss over the Antarctic! … The U.S. Geological Survey determined that: globally, large volcanic explosive eruptions that inject a tremendous volume of sulfur aerosols into the stratosphere can lead to lower surface temperatures and promote depletion of the Earth’s ozone layer. Ash from such events [as the Mt St Helens eruptions] can travel 100 miles or more downwind!
So despite what editorial writers, local environmentalists and movie makers want you to believe, its [sic] nature that is responsible for the greatest changes in nature, not human activity or President Bush’s environmental policies. I have often wondered how we mere humans could equal the magnitude of pollution created by nature no matter how many oil wells we drill, power plants we build, air-conditioners we operate, hair spray we use, cars we paint or SUV’s we drive.
6. Name two variables that you suspect would have correlation if we collected data, but for which a cause and effect relationship does not exist. Be creative and make it as outrageous as possible.
7. Comment briefly on the following report.
20 November, 2003
Low self-­‐esteem 'shrinks brain'
By Pallab Ghosh
BBC Science Correspondent
People with a low sense of self worth are more likely to suffer from memory loss as they get older, say researchers. The study, presented at a conference at the Royal Society in London, also found that the brains of these people were more likely to shrink compared with those who have a high sense of self esteem. Dr Sonia Lupien, of McGill University in Montreal surveyed 92 senior citizens over 15 years and studied their brain scans. She found that the brains of those with low self-worth were up to a fifth smaller than those who felt good about themselves. These people also performed worse in memory and
learning tests.
8. Chapter 9 discusses “statisticulation.” Why are percentages so often a source of statisticulation?
9. Chapter 10 discusses how to be intelligent consumers of statistical information. If a respectable organization is cited as a source of a statistic, what do we still need to consider about that authority?
10. Describe some of the critical things that are commonly missing when a statistic is reported in the media.
11. Summarize the five questions we can ask to defend ourselves as a consumer of statistics. (Explain briefly what each question represents.) Which of these questions do you think is most important? Why?
12. Find two articles with claims that are supported by numbers. Give a thorough discussion of the claims in these articles based on what you read in How to Lie with Statistics. Be sure to cite the articles and include a discussion of the ways in which the numerical claims may not be as accurate as they appear. Attach the articles to your assignment.

Coursework Sample Content Preview:
Student Name
Professor Name
Course
Date
Statistics Coursework
Part 1
According to the first chapter titled The Sample with the Built-in Bias, in order to collect the sample bias, it is essential to exclude some members of a particular population and include the rest of the members. Its primary sources are collecting data from a particular area through surveys, considering the respondents or participants a non-representative sample (a phenomenon known as self-selection bias), prescreening or advertising source, and overmatching. All of them have their own characteristics and can easily be distinguished from one another. For instance, the advertising or prescreening source is used to collect bias samples for media-related topics and the data collected through this method is screened before being used. Similarly, overmatching is the matching of apparent confounders that are the result of an exposure (Huff 2006).
Part 2
A stratified random sample ensures the provision of accurate data about a specific population and helps us come up with better coverage of that population. The researcher can control the groups and subgroups of the population and can divide them into multiple sections based on his desires and the data provided to him. One of the significant difficulties of using the stratified random sample is that we cannot use it on a daily basis because we first have to identify and classify all members of the population that is being studied, and it takes a lot of time and energy. Secondly, it is difficult to classify the members into subgroups based on their characteristics and background. Overlapping is another issue that prevents us from using a stratified random sample (Huff 2006).
Part 3
The third chapter titled The Little Figures That Are Not There describes different kinds of information that may get missed when we face a claim based on data (Huff 2006). Using this information, the list of questions I have constructed is mentioned below:
* Is it possible to small groups as efficiently to collect data as the large groups?
* Will a 2 percent increase in sales grab more attention than a 50 percent increase in sales?
* Do statistics really lie and trick the truth, or it is just a misconception?
* Is statistics related to mathematics?
* Does a change in standard deviation mean a lot to the researcher?
* Do those little figures really exist that seem to be absent there, or they have nothing to do with the reality?
Part 4
According to the seventh chapter of this book, a semi-attached figure is a situation that does not permit us to prove the truth, so we are forced to pull the old bait-and-switch, pretend it to be something else, and state the same thing from an entirely different perspective or point of view. The main strategies of using a semi-attached figure are biased sampling, poorly-selected averages, the small size of samples, and results falling within the range of standard error. Moreover, a semi-attached figure is required when graphs and charts are asked to be included in the research project. Such a figure makes it easy for us to describe the entire story in the form of an image, graph, chart or visual animation. However, the size of the sample has to be adequate and to ...
Updated on
Get the Whole Paper!
Not exactly what you need?
Do you need a custom essay? Order right now:

👀 Other Visitors are Viewing These MLA Coursework Samples:

HIRE A WRITER FROM $11.95 / PAGE
ORDER WITH 15% DISCOUNT!