1. Welcome to MM207 Statistics Welcome to the Unit 1 Seminar Dr. Bob Lockwood

2. Getting the Seminar Setup! To resize your pods: Place your mouse here. Left mouse click and hold. Drag to the right to enlarge the pod.

3. Instructor Contact Information Instructor: Robert E. Lockwood (Dr. Bob) Email: rlockwood@kaplan.edu AIM Screen name: drboblockwood Office hours: By appointment and we can meet in AIM, on the phone or in a seminar room. Cell Phone Number: 334-220-1244

4. Syllabus Highlights Due Dates All learning activities for a unit are due by Tuesday 11:59 pm ET. All late assignments due by: 11:59 pm ET Sunday ending Week 10. Late penalties (at my discretion) Late assignments (Mid-Term or Final project) can be marked down one letter grade for each unit the assignment is late. Discussion Threads: Late discussion posts to classmates may not receive credit as their purpose is to further the discussion and the discussion cannot be furthered after it has ended.

5. MM207 GRADED ACTIVITIES Seminar Sunday 8 PM ET 5 points …..Flex seminar Wed 1 PM ET Laura Allison …. Alternate seminar assignment: Option 2 found under Unit Discussion Question 25 points MSL Homework more than one try…help available 35 points MSL Quiz 5 attempts…no help available except StatCrunch 35 points Instructor-Graded Midterm Week 4 100 points Instructor-Graded Final Project Week 9 105 points TOTAL 1000 points

6. Seminars (5 points) Log in early Keep chatter during seminar to a minimum Seminar slides in Doc Sharing. Print for note taking. Flex Seminar: Wednesday 1 PM ET Laura Allison Follow your class/instructor rules

7. Discussion Thread (25 points) Post early…on or before Sunday Do not make all your posts Tuesday Read other posts Do not repeat points already posted Read the question and answer it You must post to at least two other classmate posts, a response to me counts Proper grammar and spelling a must!!

8. Introduce Yourself and the Student Data Survey

9. Mid-Term and Final Projects

10. Learning Resources

11. Tools for Success

12. Two Definitions of Statistics Statistics is the science of collecting, organizing, and interpreting data. Statistics are the data (numbers or other pieces of information) that describe or summarize something.

13. How Statistics Works What is the Goal of Research? The population in a statistical study is the compete set of people or things being studied. Population parameters are specific characteristics of the population.

14. How Statistics Works What Actually Gets Studied? A sample is a subset of the population from which data are actually obtained. The actual measurements or observations collected from the sample constitute the raw data. Sample statistics are characteristics of the sample found by consolidating or summarizing the raw data

15. Populations and Samples

16. Sample or Population? 1.An ornithologist captured seven Ruby- Throated Hummingbirds in her mist net and found that the average length (from the tip of the bill to the end of the tail) was 3.86 inches. 2.The normal straight-line flight speed of a Ruby-Throated Hummingbird is 25 miles per hour.

17. Parameters and Statistics

18. Parameter or Statistic? 1.A researcher interviewed a random sample of 100 library patrons as they were leaving the library and found that 54% of them had checked out books. 2.Kaplan University reports that the average time all Kaplan students spend studying each week during a term is 9.45 hours.

19. Types of Samples A census is the collection of data from every member of a population A representative sample is a sample in which the relevant characteristics of the sample members are generally the same as the characteristics of the population. Simple Random Samples Systematic Sampling Cluster Samples Stratified Samples A sample of Convenience is not a representative sample

20. Simple Random Sampling

21. Basic Steps in a Statistical Study Step 1: State the goal of your study precisely; that is, determine the population you want to study and exactly what you’d like to learn about it. Step 2: Choose a sample from the population. Step 3: Collect raw data from the sample and summarize these data by finding sample statistics of interest. Step 4: Use the sample statistics to make inference about the population. Step 5: Draw conclusions; determine what you learned and whether you achieved your goal.

22. A Statistical Study

23. Types of Statistical Studies 1.In an observational study, researchers observe or measure characteristics of the subjects but do not attempt to influence or modify these characteristics. 2.In an experiment, researchers apply some treatment and observe its effects on the subjects of the experiment.

24. Observational Study or Experiment? 1.A poll of likely voters in the Republican primary determined that 40% indicated they would vote for Gingrich and 38% indicated they would vote for Romney. 2.A group of diabetics took a cinnamon extract daily while a second group did not take the extract. After 40 days the risk of heart disease was measured for each group.

25. QUESTIONS??