Wk  Day Name  Date  Topic  Events 

0  Friday  8/11/6  Prequiz  
1  Monday  8/14/6  1.1 Variables and levels of measurement • 1.2 Random samples  
Wednesday  8/16/6  Barefoot day: Determining your body fat  End Add  
Friday  8/18/6  1.3 Experimental design  Quiz 1  
2  Monday  8/21/6  2.1 Bar and circle graphs using Excel  
Wednesday  8/23/6  2.2 Intro to freq distributions: bins  
Friday  8/25/6  2.2 Frequency distributions  Quiz 2 2.2  
3  Monday  8/28/6  3.1 Mode, Median, Mean  Grad apps 
Wednesday  8/30/6  3.2 Range and standard deviation  
Friday  9/1/6  Test One • answers  
4  Monday  9/4/6  4.1 Intro to paired data Dropped a ball, graphed the bounce height, directly into best fit line. Terminology including least squares, linear regression, trend line.  
Wednesday  9/6/6  4.2 Slope and intercept Began correlation here  
Friday  9/8/6  4.3 Correlation coefficient of determination • Quiz 3 4.2 • ans Early warning  
5  Monday  9/11/6  Pohnpei Liberation Day  
Wednesday  9/13/6  5.1 Probability: Intuition and equally likely outcomes: coin only  
Friday  9/15/6  5.1 Equally likely outcomes: Coin and dice  Quiz 4  
6  Monday  9/18/6  5.1 Relative frequency, punnett square  
Wednesday  9/20/6  6.1 Discrete versus continuous variables  
Friday  9/22/6  6.1b Probability distributions: mean from distribution, x*p(x)  Quiz 5  
7  Monday  9/25/6  Relative standing, zscores. Ordinary and unusual values.  
Wednesday  9/27/6  zscore homework, midterm questions answered.  
Friday  9/29/6  Midterm • answers • html • ods  
8  Monday  10/2/6  Review midterm  
Wednesday  10/4/6  7.1 Normal distributions Introducing the shape we normally get: Pennies. HW: Mean ” from penny distribution.  
Friday  10/6/6  Review penny distribution. • Middefs due  Quiz 6 
Wk  Day Name  Date  Topic  Events 

9  Monday  10/9/6  7.2 Standard units and areas under normal curve [Pennies quiz, introduction to normal curve]  
Wednesday  10/11/6  7.3 Area for any x under normal curve [x to z to area only "7.3a"]  
Friday  10/13/6  Quiz 7  
10  Monday  10/16/6  [Will have to do 7.3b area to z to x here, delay eight]
Ten leaf measure HW 8.1 Sampling Distributions. Review terms. 

Wednesday  10/18/6  8.1 homework  
Friday  10/20/6  Quiz 8 LDWWW  
11  Monday  10/23/6  Introduction to 9.1  
Wednesday  10/25/6  9.2 Estimating ” small sample  
Friday  10/27/6  Quiz 9  
12  Monday  10/30/6  9.4 Sample size  Course select 
Wednesday  11/1/6  Test Two • t2a  
Friday  11/3/6  FSM Constitution  
13  Monday  11/6/6  Review Test Two.  
Wednesday  11/8/6  Pohnpei Constitution Day  
Friday  11/10/6  Veteran's Day  
14  Monday  11/13/6  9.3 Binomial distribution confidence interval: estimating p for a population  
Wednesday  11/15/6  Confidence interval hypothesis testing • 10.1 Introduction to Hypothesis Testing  
Friday  11/17/6  Risk survey due in sealed envelope, can be blank.  Quiz 10  
15  Monday  11/20  10.2, 4 Hypothesis tesing using tdistribution for ” provided n ≥ 5  
Wednesday  11/22/6  10.3 p values  
Friday  11/24/6  Quiz 11  
16  Monday  11/27/6  11.1 Test involving paired differences: barefoot day II.  
Wednesday  11/29/6  11.2 Inferences about the difference of two means.  
Friday  12/1/6  Quiz 12 • s61q10r  
17  Monday  12/4/6  Last day of instruction. Question & Answer  
Thursday  12/7/6  M10 Final at 10:05 found data • ods • html  
Friday  12/8/6  M09 Final at 8:00 • faraway rainbow • answers  
18  Friday  12/15/6  Graduation 
Do not alter the desktop settings, the screensaver, change color schemes, nor add nor delete panels to the computer desktop!
Course Description: A semester course designed as an introduction to the basic ideas of data presentation, descriptive statistics, linear regression, and inferential statistics including confidence intervals and hypothesis testing. Basic concepts are studied using applications from education, business, social science, and the natural sciences. The course incorporates the use of a computer spreadsheet package for both data analysis and presentation. The course is intended to be taught in a computer laboratory environment.
Course Intentions