Goals Notes Goals: I Use Venn Diagrams to visualize sets. I Define populations and samples. I Identify parameters and statistics. U A (University of Utah) C B Math 1040 1 / 12 What is a Venn Diagram? Notes A Venn diagram shows the logical relationship between sets. A set is a collection of objects. In Venn diagrams, a set is drawn as a shape. The logical relationships are that the sets may overlap or not touch or be inside each other. Example: Call ”living creatures that fly” set A, and call ”living creatures that walk on two legs” set B. Draw the Venn diagram for sets A and B. (University of Utah) Math 1040 2 / 12 What is a Venn Diagram? (University of Utah) Notes Math 1040 3 / 12 Why use Venn diagrams? Notes For statistics, Venn diagrams visualize the relationship between populations and samples. A population is the set of all outcomes, responses, measurements, or counts that are of interest. A sample is a subset of the population. Tips: I Sample data should represent a population’s characteristics. I Samples that aren’t randomly collected are of no value. (University of Utah) Math 1040 4 / 12 An Example Notes Example: In a recent Gallop poll, about 600 Utahns were asked if they donated money to a charity or volunteered time to an organization. 48% said yes to both. (www.gallop.com) Venn diagram: Responses of all Utahns Responses of Utahns in Gallop poll The data set consist of about 288 yes’s and 312 no’s. (University of Utah) Math 1040 5 / 12 More Examples Notes (1) Indentify the population and sample. (2) What does the data set consist of? Example 1 A February 2014 survey of 1000 US adults found 49% that think buying a home is the best investment a family can make. (http://www.rasmussenreports.com/ Example 2 A recent National Health and Nutrition Examination Survey reports 17% of youth in the US are obese from 9120 participants.(jama.jamanetwork.com/article.aspx?articleid=1832542) Example 3 Voluteers who had 8 hours of sleep were three times more likely to answer questions correctly on a math test than were sleep deprived participants. (www.cbsnews.com/news/sleep-on-it/) (University of Utah) Math 1040 6 / 12 Two Numerical Descriptions of Sets Notes A parameter is a numerical description of a population characteristic. A statistic is a numerical description of a sample characteristic. Note: I A sample statistic can vary from sample to sample. I A population parameter remains constant for a population. Example: A company employs 150 people. We can numerically describe the average annual salary for all employees. Is this a population parameter or sample statistic? The same company has a board of directors. Draw this relationship in a Venn diagram. (University of Utah) Math 1040 7 / 12 Two Numerical Descriptions of Sets (University of Utah) Math 1040 Notes 8 / 12 More Examples Notes Decide whether the numerical value describes a population parameter or a sample stastic. Example 1 A survey of 21,914 alumni report that the average starting salary of a physical therapy / exercise science degree is $54,259. (studentsreview.com) Example 2 The 2182 students who accepted offers to Northwestern University in 2009 have an average SAT score of 1444. (www.northwestern.edu) Example 3 There is currently 58% of the governors of the 50 states in the United States that are Repulicans. (www.nga.org) (University of Utah) Math 1040 9 / 12 Two Braches of Statistics Notes Descriptive statistics is the branch of statistics involving the: I organization, I summarization (Example: means, deviations), I and display of data (Examples: tables or graphs). Inferential statistics is the branch of statistics that involes using a sample to draw conclusions about a population. Example A large sample of men, aged 48, was studied for 18 years. For unmarried men, approximately 70% were alive at age 65. For married men, 90% were alive at age 65. Statements in blue are descriptive. A possible conclusion such as, ”being married is associated with a longer life for men,” is inference. (University of Utah) Math 1040 10 / 12 Drawing Conclusions Notes Drawing conclusions is a subjected and open-ended process. What inferences could be drawn for the following studies? One possible conclusion answers, ”Is there or is there not an association for in the study?” Example 1 In a sample of Wall Street analysts, the percentage who incorrectly forecasted high-technology earnings in a recent year was 44%. Example 2 A survey of 546 U.S. women found that more than 56% are the primary investors in their households. Example 3 A survey of 791 people on vacation found that they planned on spending at least $2000 for their next vacation. (University of Utah) Math 1040 11 / 12 Assignment Notes For May 16 - 2014 I §1.1 # 45, 46, 47, 49 (Due: May 19) I Read §1.2 by May 19. Suggested Exercises: §1.1 #1, 3, 4, 15, 23, 27, 37, 41. You should be able to: I Distinguish between a population and a sample. I Distinguish between a parameter and a statistic. I Distinguish between descriptive statistics and inferential statistics. (University of Utah) Math 1040 12 / 12