Statistics

Statistics is an elective course in which students develop major theories and techniques for collecting, analyzing, and drawing conclusions from data. Students will be exposed to four broad conceptual themes: exploring data, designing a study, anticipating patterns in advance, and statistical inference. Solving real-life problems that require the use of statistical inference and a combination of statistical techniques will be emphasized. Technology will be used to develop understanding and work on large datasets. Students will present, defend, and critique statistical arguments.

Student taking this course are required to have a TI-84+ or higher graphing calculator; and preferably a
TI-nspire calculator (loaners available.)

eCM Moodle

Click here (or to the left on the Moodle icon) and find a record of all of the slides and problems as worked out on our Promethean whiteboard from each day of class, and much more! You will need to have your LRC login and password (and on your first visit, you might need an enrolment key from me).
ebook Click here (or to the left on the eBook icon) to navigate to our excellent online textbook. You will need your login name and password. If you don't have one, request one.
publisher's website Click here (or to the left on the &more icon) to navigate to additional online resources from our publisher: quizzes, statistical applets, and data sets. The reference tab above has even more.
LHS Scholar email
 Click here (or to the left on the envelope) to navigate to the LHS student email portal, aka VMware Zimbra.
LHS Google domain
 Click here (or to the left on the graph paper) to navigate to the LHS Google Apps domain, aka Google Docs.

Our chapter six test is scheduled for TBD.

The last day to submit Q2 make-up work is Friday, January 6th (one week before the end of the quarter.)

Click here for several short video tutorials, that you may find useful.

Projects & such

The following assignments should be turned in during class on each indicated day:

Day
Assignment
  
#
12/1
 two-emails assignment (LHS-web navigation)
4
   
5
   
6

Late work will be penalized 10% for each day that it is overdue.

I will announce extra-credit opportunities in class from time-to-time. In many cases you will also find these posted on our weblog, or noted in the slides from that day's class. Look at each one and consider whether you want to give it a try. Every successful extra-credit submission will replace your lowest homework, classwork, or bellwork score. (Extra-credit work has no effect on projects, or quiz scores.)

 

Homework

If you are absent for any reason, you should complete all homework that was due on the day (or days) you missed, from this list:

Day
Topic
Homework Due
#
1/24
 Probability, and Games read pp391-397; make one page
of notes, the important info there
92
1/25
 Probability Models do P6.2 and 6.4
93
1/26
 Simulating a Probability Model read, understand, be prepared
to conduct Activity
94
1/27
 Quiz 6.1
Probability Basics (Notes)		 study for short quiz 6.1
do any two: P6.8, 6.10, 6.12
95
1/30
 More Probability Basics (Notes) (no assignment)
96
1/31
 End Notes, HW Review, Planning read pp407-410;
do P6.22-6.28 even
97
2/1
    
98
2/2
    
99
2/3
    
100
2/6
 Solving Probability Problems (no assignment)
101

2/7

    
102
2/8
    
103
2/9
    
104
2/10
    
105
2/13
    
106
2/14
    
107
2/15
    
108
2/16
    
109
2/21
 Conditional Probability Finale (no assignment)
110
2/22
 Meet In Computer Lab The Inkblot Problem
111
2/23
    
112
2/24
    
113
2/27
    
114
2/28
    
115
2/29
    
116
3/1
    
117
3/2
    
118
3/5
    
119
3/6
    
120
3/7
    
121
3/8
    
122
3/9
    
123
3/12
    
124
3/13
    
125
3/14
    
126
3/15
    
127
3/16
    
128
3/19
    
129
3/20
    
130
3/21
    
131
3/22
    
132
3/23
    
133
3/26
    
134
3/27
    
135
3/28
    
136
3/29
    
137
3/30
    
138
4/2
    
139
4/3
    
140
4/4
    
141
4/5
    
142
∞
   Stat Trek
∞

Make-up work for a day’s absence is due the day following your return to class. If you complete it and turn it in on the first day you return to class, you will receive a 10% scoring bonus. Like other work, it will be penalized 10% for each day that it is overdue.

Oh, and here is a previous version of this page from the first quarter, and another from the second quarter for your reference.