Transcript Document

Welcome to MM207!
Unit 1 Seminar
Monday, August 8th at 7 pm ET
Aloha Everyone!
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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.
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 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
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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.