1. Unit 1 Seminar To resize your pods: Place your mouse here. Left mouse click and hold. Drag to the right to enlarge the pod.

2.  Welcome!  Brief Syllabus Review  Contact Information for Instructor  Seminar Rules  Discussion

3.  Each Unit – learning activities  Reading Assignment in textbook  Practice problems from textbook (not collected or graded)  Ungraded tutorials (Very helpful if you don’t understand textbook)  MML graded project  Discussion questions (all week)  Synchronous Seminar (or Seminar Option 2 Quiz)  Instructor graded Project  Due Dates: All learning activities for a unit are due by Tuesday 11:59 pm ET.  Late penalties: (See syllabus for class policies)  Contact me if you have a personal emergency situation.

4.  Instructor: Anne K. Geraci  Email: ageraci@kaplan.edu  Office hours (AIM): ProfGeraci  (See syllabus) or by appointment  Please download and print the Kaplan Information Document from Doc Sharing

5.  Usual format of seminar will involve discussion of a concept and then responding to questions I post on the concept.  Posting a wrong answer will not negatively affect your participation grade. It is more important that you try to participate rather than simply watch.  Social posts (It is raining, Hi, Bye, My car broke down) will not help your participation grade.

7. You are free to choose any or all of the available seminars: > Or you may select Seminar Option 2 – complete the MML Quiz.

8.  MyMathLab – “Ask my Instructor”  Kaplan Math Center – live tutors & seminars  Discussion Boards – ask for help  Seminar discussions  Internet resources  Online Textbook (Use “Ungraded Tutorials/Multimedia Textbook”)  Study Buddy (exchange e-mails)

11. Statistics The science of collecting, organizing, analyzing, and interpreting data in order to make decisions. 11 Larson/Farber 4th ed.

12. Population The collection of all outcomes, responses, measurements, or counts that are of interest. Sample A subset of the population. 12 Larson/Farber 4th ed.

14.  All US college students  All televisions made during 2009  All golden retrievers  All boxes of Fiber Crunch cereal  The collection of college students in this class  The 15 televisions you found at the electronics store this afternoon  20 golden retrievers visiting DogWorld today  50 boxes of FiberCrunch

15. http://www.discover6sigma.org/post/2005/12/statistics-simplified/

16. Larson/Farber 4th ed. 16 Descriptive Statistics Involves organizing, summarizing, and displaying data. e.g. Tables, charts, averages Inferential Statistics Involves using sample data to draw conclusions about a population.

17.  Would this class be a representative sample of Kaplan University students? Population: All 20,000 Kaplan Students

18.  Would this class be a representative sample of Kaplan University students? Sample: Randomly selected 100 students

19. PopulationSample Inference Random Selection ALL individuals included that we wish to make conclusions about: Descriptive Statistics Sample selected to make conclusions about a larger group: Inferential Statistics (Parameters) (Statistics)

20. Simple Random Sample Stratified Sample Cluster Sample Systematic Sample Convenience Sample

21.  Quantitative data Quantitative data has a value or a numerical measurement for which you can calculate sums, products and other numerical calculations.  Qualitative data Qualitative data is grouped into a category or group. Sums, products or other numerical calculations do not mean anything.

22. The base prices of several vehicles are shown in the table. Which data are qualitative data and which are quantitative data? (Source Ford Motor Company) 22 Larson/Farber 4th ed.

23. Level of Measurement Put data in categories Arrange data in order Subtract data values Determine if one data value is a multiple of another NominalYesNo OrdinalYes No IntervalYes No RatioYes 23 Larson/Farber 4th ed.

24.  Qualitative Data  Nominal : Data is put in categories  Ordinal: Data is put in ordered categories  Quantitative Data  Interval : Data can be ordered and calculations made  Ratio : Data can be ordered, calculations made, and it has an absolute zero point

25. http://www.gaysmills.org/orchards.html Number of worms? Weight in grams Internal temperature Color Variety

26. Two data sets are shown. Which data set consists of data at the interval level? Which data set consists of data at the ratio level? (Source: Major League Baseball) Larson/Farber 4th ed. 26

27. Interval level (Quantitative data. Can find a difference between two dates, but a ratio does not make sense.) Larson/Farber 4th ed. 27 Ratio level (Can find differences and write ratios.)

28. At the end of each of my Powerpoint seminar lectures (PPT), you will find a number of self- study questions which you might find useful. I will not be covering them as part of seminar, but if we have time at the end of seminar, I am happy to answer questions.

29. Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison- Wesley Slide 1- 29 Identify the population and sample: A survey of 500 adults in the U.S. found that 54% drink coffee daily. A. Collection of the 500 adults surveyed B. Collection of all adults in the U.S. C. 54% D. 500

30. Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison- Wesley Slide 1- 30 Identify the sampling technique used: Students are classified according to major. Twenty students are selected from each major and asked how often they use the library. A. Random sample B. Stratified sample C. Cluster sample D. Systematic sample

31. Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison- Wesley Slide 1- 31 Identify the data set’s level of measurement: The salaries of nurses at a hospital. A. Nominal B. Ordinal C. Interval D. Ratio

32. Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison- Wesley Slide 1- 32 Identify the data set’s level of measurement: The nationality of each person on an airplane. A. Nominal B. Ordinal C. Interval D. Ratio

33. Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison- Wesley Slide 1- 33 True or false: The social security numbers of students in a class represent quantitative data. A. True B. False

34.  Population(B), Sample (A)  Stratified Sample (B)  Nurse’s salary: (D) Ratio  Nationality: (A) Nominal  Social Security Number: (B) False