35739 1 pg 6 hrs

35739 Topic: Current Course(s) MAT 232 Statistical Literacy

Number of Pages: 1 (Double Spaced)

Number of sources: 2

Writing Style: APA

Type of document: Essay

Academic Level:Undergraduate

Category: Sociology

Language Style: English (U.S.)

Order Instructions: Attached

Discussion 2 week 2

Video 4: Variation 1: Introduction and Quartiles

You will find Video 4: Variation 1: Introduction and Quartiles by navigating to the MSL Tools for Success link under Course Home. The video begins at the park, with cyclists and joggers going by. We show a very slow old woman going by on a bike, and then a bunch of racing cyclists. We point out that sometimes, what is interesting about a data set is not its average but how much it varies. We then discuss the weather in New York and San Francisco, which have pretty much the same average annual temperature, even though New York has hot summers and cold winters. Quartiles as a measure of variation are introduced by way of the price of food on take-out menus. The video ends with a practical application in medical research, where mean exposure to a toxin is far less interesting than the fact that a small number of individuals are exposed to very high levels.

Respond to one of the following questions in your initial post:

What are some examples, other than temperature, where similar averages can be associated with very different distributions? A few thoughts: costs (e.g., cost of illegally downloading a song online is the same average cost of driving above the speed limit, assuming that you are only caught speeding occasionally); ERA of pitchers (i.e., some are very consistent, others are sometimes brilliant, sometimes horrible); success rates in surgery (i.e., do we want an operation that most surgeons can do pretty well, or one in which a few surgeons are nearly perfect and some have very poor results?)

Give some practical uses of knowing variation. A few thoughts: You are traveling to a job interview; what clothes do you need to pack for a trip? Doctors need to know distributions of blood values to know whether a patient is out of range; industrial engineers need to know distributions, for example the strength of a certain part to see if there is a problem with a manufacturing machine; clothing manufacturers need to know the distribution of sizes, for example children’s clothes for a certain age.

For many years, the New York subway had no air conditioning on the grounds that the average trip was only 15 minutes, and 15 minutes without air conditioning is no hardship, even in the New York summer. Critique this reasoning.

Your initial post should be 150 to 250 words in length. Respond to at least two of your classmates’ posts by Day 7 in at least one paragraph.

Discussion Post Expectations:

This week you will have 2 discussion posts. Before posting your discussion be sure to read About Discussions located under the Course Home tab. This will give you a good idea of what is expected of you as you participate in the discussion forums as well as it offers an opportunity to get acquainted with other students in this course.

2. Week 1 Discussion: Click on the Discussion link in the Week 2 tab for this discussion post. This week you will be reflecting on variance in a data set. You will find Video 4: Variation1: Introduction to Quartiles by navigating to the MSL Tools for Success link under Course Home. The video begins at the park, with cyclists and joggers going by. You will see a very slow old woman going by on a bike, and then a bunch of racing cyclists. You will note that sometimes, what is interesting about a data set is not its average but how much it varies. After watching the video, reflect on one of the questions present in your discussion for week 2.

Click on MyStatLabResources and then Click on MSL Tools for Success to locate Video 4 this week.

resources :4. Variation 1. Introduction and Quartiles (4:57)

5. Variation 2. Standard Deviation (With a Digression on Eggroulette) (4:55)

View the StatTalk Videos! Fun-loving statistician Andrew Vickers takes to the streets of Brooklyn, NY to demonstrate important statistical concepts through interesting stories and real-life events. This series of 24 videos will actually help you understand statistics.

View Applets designed to help students understand a wide range of topics covered in introductory statistics.

StatCrunch®

Open the data sets from your textbook using StatCrunch.

Visit www.statcrunch.com, an online community of statistics students, professors and professionals. At this website, you can perform complex analyses with the StatCrunch statistical software, search among 12,000 shared data sets, administer online surveys, and generate compelling results and reports.

These short StatCrunch Video Tutorials offer step-by-step guidance on everything from writing a report in StatCrunch to computing a multiple regression analysis. Quick and easy video support for the StatCrunch statistical software is a click away.

Data Sets

Download Data Sets from the textbook in Excel, MiniTab, JMP, SPSS and text formats.

Required Resources

Text

Bennett, J., Briggs, W. & Triola, M. (2014). Statistical reasoning for everyday life (4th ed.). Boston, MA: Pearson Education, Inc.

Chapter 2: Measurement in Statistics

Chapter 3: Visual Displays of Data

Supplemental

Pearson. (2012) MyStatLab [Virtual Lab].

Recommended Resources

Websites

Probability and statistics (Links to an external site.)Links to an external site.. (2015). Retrieved from https://www.khanacademy.org/math/probability

Pezzullo, J. C. (n.d.). Web pages that perform statistical calculations (Links to an external site.)Links to an external site.! Retrieved from http://statpages.org/

HAS TO USE THOSE RESOURCES