Welcome to MM207!

Unit 1 Seminar

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Seminar Outline

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

Syllabus Highlights 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.

About your Instructor

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

Seminar Rules and Structure 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.

Read the Book!!

Flexible Seminars

You are free to choose any or all of the available seminars:

<<See syllabus for available seminars.>>

Or you may select Seminar Option 2 – complete the MML Quiz.

Available Resources

MyMathLab – “Ask my Instructor”Kaplan Math Center – live tutors &

seminarsDiscussion Boards – ask for helpSeminar discussions Internet resources Online Textbook (Use

“Ungraded Tutorials/Multimedia Textbook”)

Study Buddy (exchange e-mails)

It’s all up to you ….

Now, let’s get started

What is Statistics?

Statistics The science of collecting, organizing, analyzing, and interpreting data in order to make decisions.

11Larson/Farber 4th ed.

Data Sets

Population The collection of all outcomes,

responses, measurements, or counts that are of interest.

Sample A subset of the population.

12Larson/Farber 4th ed.

Population vs. Sample

Populations and Samples 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

Populations vs. Samples

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

Branches of Statistics

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.

Sampling - Population

Would this class be a representative sample of Kaplan University students?

Population:All 20,000 Kaplan Students

Sampling - Samples

Would this class be a representative sample of Kaplan University students?

Sample:Randomly selected 100

students

Samples and Populations

Population Sample

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)

Sampling MethodsSimpleRandomSample

StratifiedSample

ClusterSample

Systematic

Sample

Convenience

Sample

Types of Data

Quantitative dataQuantitative data has a value or a numerical measurement for which you can calculate sums, products and other

numerical calculations.

Qualitative dataQualitative data is grouped into a category or group. Sums, products or other numerical calculations do not mean anything.

Example: Classifying Data by Type

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)

22Larson/Farber 4th ed.

Summary of Four Levels of Measurement

Level ofMeasurement

Put data in

categories

Arrangedata inorder

Subtractdata

values

Determine if one data value is a multiple of

another

Nominal Yes No No No

Ordinal Yes Yes No No

Interval Yes Yes Yes No

Ratio Yes Yes Yes Yes

23Larson/Farber 4th ed.

Levels of Data Measurement

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

Level of Measurement

http://www.gaysmills.org/orchards.html

• Number of worms?

• Weight in grams

• Internal temperature

• Color

• Variety

Example: Classifying Data by Level

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

Solution: Classifying Data by Level

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.)

The End

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.

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

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

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

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

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

Answers:

Population(B), Sample (A)Stratified Sample (B)Nurse’s salary: (D) RatioNationality: (A) NominalSocial Security Number: (B) False