Transcript Document
Welcome to MM207! Unit 1 Seminar Monday, August 8th at 7 pm ET Aloha Everyone! To resize your pods: Place your mouse here. Seminar Outline Welcome! Brief Syllabus Review Contact Information for Instructor [email protected] Seminar Rules Discussion Syllabus Highlights Due Dates All learning activities for a unit are due by Tuesday 11:59 pm ET. Late penalties Projects: 2% per day late Discussion Threads: 10% per week late Instructor Contact Information Instructor: Elisa Vertuli Email: [email protected] (AIM): elisavertuli By appointment Please download and print the Kaplan Information Document from Doc Sharing Seminar Rules and Structure Usual format of seminar will involve discussion of a concept and then responding to questions 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. Home Page Features Announcements Read them…they just might help! Doc Sharing Check this each week at the beginning of the unit Unit Links MML Ungraded Tutorials Course Extras Electronic Resources Multimedia Library Statistics The science of collecting, organizing, analyzing and interpreting data in order to make decisions Data Information from observations, counts, measurements or responses Population Collection of all data that are of interest Sample Subset of the data of a population Try It Yourself 1, page 5 Parameter numerical description of population characteristic Statistic numerical description of sample characteristic Try It Yourself 2, pg 6 Branches of Statistics Descriptive Involves organization, summarization and display of data Inferential Involves using a sample to draw conclusions about a population. Uses probability. Try it Yourself 3, pg 7 Types of Data Quantitative data has a value or a numerical measurement for which you can calculate sums, products and other numerical calculations. http://lovestats.wordpress.com/dman/ Qualitative data is grouped into a category or group. Sums, products or other numerical calculations do not mean anything. Example 1, pg 11 Levels of Data Measurement Nominal: Data is put in categories Ordinal: Data is put in ordered categories Interval: Data can be ordered and calculations made Ratio: Data can be ordered, calculations made, and it has an absolute zero point Example 3, pg 13 Statistical Design Data Collection Observational study Experiment Simulation Survey Confounding variable When experimenter cannot tell the difference between effects of different factors on a variable page 20 Random Sampling Techniques Simple random sample Every member of the population has an equal chance of being selected Stratified sample Sample has members from each segment of the population Cluster sample Sample has all members of one or more of naturally occurring subgroups of the population Systematic sample Each member is assigned a number and ordered; then a starting number is randomly selected Example 4, pg 24 Non-Random Sampling Convenience Math Center Field Trip Please go to: http://khe2.acrobat.com/kumcfieldtrip Login using the “Enter as a Guest” option. Type your name in the guest box and click “Enter Room.” This is just a fun and informative field trip to learn about our wonderful Math Center! We’ll meet back here briefly to conclude seminar in a few minutes.