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  Statistics (Honors)
     
     
Date* Objectives Lectures  Standard(s) 
8/19

Orientation

     
8/20

Pre-Test


     
8/21


1-1/1-2 Students will learn about a large group by examining data from some of its members.

  1-2 Statistical Thinking

HW: See last panel of lecture
 
8/22

See Above

     
8/25


  Odd problems on pg 10

 
8/26


  Odd problems on pg 15

 
8/27

Students will learn about using sample data to make inferences (or generalizations) about an entire population.

  1-3 Types of Data

HW: See last panel of lecture
 
8/28


Students will learn to vThink carefully about the context, source, method, conclusions and practical implications.

  1-4 Critical Thinking

HW: See last panel of lecture
 
8/29

See Above.

     
9/1

Labor Day

     
9/2


Students will learn about the basics of collecting data
.

  1-5 Collecting Sample Data

HW: See last panel of lecture
 
9/3

Review

     
9/4

Unit Exam

  Practice Exam

 
9/5

Students will learn to identify the different aspects of a frequency distribution.

  2-2 Frequency Distributions

MAFS.K12.MP.3.1
9/8

Students will learn to create a histogram.

  2-3 Histograms

MAFS.K12.MP.5.1

9/9

Students will learn the basics of using Excel.

  Beginning Excel 1

 
9/10

Students will learn the basics of using Excel.

  Beginning Excel 2



9/11

Students will learn to graph with Excel

  Graphing with Excel



9/12

Excel Continued

 


9/15
























Project

Students will create 3 Histograms and 3 Relative Frequency Histograms with Excel (or other spreadsheet) based on the teacher data in the 'Histogram" tab of the 'Histogram Data File'. The Histograms are to be labled and printed individually. Students will submit 2 hard copies of the spreadsheet (one showing values and the other showing formulas). Students will also write a paragraph discussing results and analysis of results with possible causes or implications. A cover sheet with name, date, class, class period and title is to be stapled on top. (Total of 10 pages required.)












  Histogram Data File

How to create a Histogram on a Mac
(Most steps will work for a PC)

























MAFS.K12.MP.5.1





























9/16

See Above

 





9/17

See Above.

  .




9/18


Students will learn to identify and create scatter plots, line graphs, bar graphs, pareto charts, and pie charts.

  2-4 Statistical Graphs

HW: See last panel of lecture

MAFS.K12.MP.6.1



9/19











Project

Students will begin obtaining raw data based on criteria from the instructor. Data is to be entered into a spreadsheet and emailed to the instructor by Sunday. Teams failing to do so will have a 30 point deduction to their project.





 


MAFS.K12.MP.6.1












9/22















Project

Students will create a Bar Chart, Pie Chart, Scatter Graph, and Histogram based on the previous day's results. Students will submit 2 hard copies of the spreadsheet (one showing values and the other showing formulas). The 3 graphs are to printed Individually. A cover sheet with name, date, class, class period and title is to be stapled on top. (Total of 7 pages required).







  Cumulative Restults Spreadsheet

















MAFS.K12.MP.6.1

















9/23

Review
  Ch2 Exam Review

 
9/24

Unit Exam

 
 
9/25


Students will learn to define and calculate mesures of center.


  3-2 Measures of Center

HW: See last panel of lecture

 
9/26

Numb3rs (Weighted Mean Episode)

 
 
9/29


Students will learn to define and calculate measures of variation


  3-3 Measures of Variation

HW: See last panel of lecture
 
9/30












Project

Students will begin obtaining raw data based on criteria from the instructor. Data is to be entered into a spreadsheet and emailed to instructor no later than 8:00 PM EST. Teams failing to do so will have a 30 point deduction to their project. Spreadsheet is to be downloaded for use the following day. See Measures and Variation link below.




 

 
10/1



 









Project

Students will create a Scatter Plot based on the previous day's results as well as a Pie Chart illustrating how much each group contributed (%). Students will also calculate Mean, Median, Mode,  Range, Standard Deviation (population and sample), Variance (population and sample), Minimum Value, Maximum Value, and Range using appropriate Spreadsheet functions.  Students will submit 2 hard copies of the spreadsheet (one showing values and the other showing formulas). The  graph is to printed Individually. A cover sheet with name, date, class, class period, and title is to be stapled on top. (Total of 4 pages required).

  Measures and Variation Data
















10/2

See Above

 

 
10/3

Inservice Day - Student Holiday

 
 
10/6


Students will learn about Measures of Relative Standing and Boxplots.

  3-4 Measures of Relative Standing and Boxplots

HW: See last panel of lecture
 
10/7

Review

  Ch 3 Exam Review

 
10/8

Unit Exam

     
10/9



Students will learn to determine and calculate empirical probability and see how it is affected by the Law of Large Numbers.  

  P-1 Nature of Probability

HW: Worksheet



 
10/10

Enrichment: Numb3rs Episode 215

     
10/13



Students will learn to calculate theoretical probability given a finite set of circustances with specific outcomes.

  P-2 Theoretical Probability

HW: Worksheet


 
10/14

Enrichment: Numb3rs Episode 318

     
10/15

PSAT Testing
 

 
10/16


Students will learn to determine odds based of specific events.


  P-3 Odds

HW: Worksheet

 
10/17

SIA #1

     
10/20

Enrichment: Numb3rs Episode 306

 

 
10/21



Students will learn to use probability to determine expected value of a given event.


  P-4 Expected Value

HW: Worksheet


10/22




Students will learn to use tree diagrams and the counting principle to predict the probability of a given event

End of 1st 9-Weeks

  P-5 Tree Diagrams

HW: Worksheet


 
10/23


Enrichment: Numb3rs Episode 205

     
10/24


Students will learn to determine probability given AND and OR statements.

  P-6 OR & AND Problems

HW: Worksheet


 
10/27


Students will learn to use determine probability of events given specific conditions.

  P-7 Conditional Probability

HW: Worksheet

 
10/28

Enrichment: Numb3rs Episode 202
     
10/29



Students will learn to use the counting principle to determine probability of a given event and use permutations to determine the number of outcomes possible.

  P-8 Counting Principle

HW: Worksheet


 
10/30


Enrichment: Numb3rs Episode 211

     
10/31


Enrichment

 

 
11/3



M&M Project

Follow ALL directions on the worksheet
  M&M Project



 
11/4


Students will learn to determine probability of multiple events using the counting method.
  P-9 Combinations

HW: Worksheet
 
11/5



Students will learn to apply Pascal's Triangle and the Binomial Theorem to determine probability.

  P-10 Binomial Probability

HW: Worksheet


 
11/6

Enrichment: Numb3rs Episode 321

     
11/7

Review

     
11/10

Probability Exam
     
11/11

Veteran's Day

     
11/12





















Project

Create a game of chance (i.e. carnival-style game)

Can work Individually or in pairs. Presenttion may be in the form of a PowerPoint, poster or physical demonstration (build it).

Elements of the presenttion MUST include:
Description of game & ways to win
Probabilities of winning & losing
Fair price of the game
Price you will charge for the game
Expected value per play
All calculations shown
Rationle for the decisions you made while making up the game
How did probabilities affect those decisions
Be Original. Common pre-existing games will suffer a severe deduction.
Unexcused absenteeism on the day of the presenttion will result in a grade of zero.

   
11/13

See Above

     
11/14

See Above

     
11/17

See Above

     
11/18

See Above

     
11/19

See Above

     
11/20

See Above

     
11/21

Enrichment/Makeup

     
11/24-11/28

Thanksgiving Holiday

     
12/1

Presentations
     
12/2

Presentations

     
12/3

Enrichment: Numb3rs Episode 303 "Traffic"
     
12/4


Students will learn to define and develop continuous and discrete random variables.
5-2 Random Variables

HW: See last panel of lecture
 
12/5

Enrichment: Numb3rs Episode 202 "Better or Worse"
     
12/8

Enrichment: Numb3rs Episode 213 "Double Down"
   
12/9



Students will learn a basic definition of a binomial distribution along with notation, and methods for finding probability values.

  5-3 Binomial Distribution

HW: See last panel of lecture

 
12/10

Enrichment: Numb3rs Episode 217 "Mind Games"
     
12/11



Students will learn to calculate and use the Man, Variance, and Standard deviation in a Binomial Distribution.

  5-4 Mean, Variance & Std Deviation

HW: See last panel of lecture


 
12/12

Enrichment: Numb3rs Episode 306 "Longshot"
     
12/15



Students will learn to evaluate small distributions with rare probabilities with the Poisson Distribution.


  5-5 Poisson Distribution

HW: See last panel of lecture

 
12/16


Review


     
12/17

Unit Exam

     
12/18

Enrichment: Numb3rs Episode 322 "Under Pressure"
     
12/19

Enrichment/Makeup

     
12/22 - 1/2


Winter Break


     
1/5




Students will develop the skill to find areas (or probabilities or relative frequencies) corresponding to various regions under the graph of the standard normal distribution.

  Normal Distribution





 
1/6


Enrichment: Numb3rs Episode 316 "Contenders"


 



 
1/7



Students will learn to use a simple conversion that allows us to standardize any normal distribution so that the same methods of the previous section can be used.

  Applications of Normal Distribution



 
1/8



Students will learn that some statistics are better than others for estimating population parameters.

 
  Sampling Distribution & Estimators



 
1/9

Review
  Practice Exam


 
1/12

 Review

 


 
1/13


 SIA #2


 

 
1/14

Makeup/Enrichment

 
 
1/15


Makeup/Enrichment

 



 
1/16




Makeup/Enrichment

End of 2nd 9-weeks & 1st Semester


 


 
1/19

MLK Holiday

     
1/20

Planning Day - Student Holiday

     
1/21






Data Collection
Data is to be submitted via email as a spreadsheet attachment by midnight 1/23. Team name is to be in the subject line. Send to kbaker@my.putnamschools.org. All students are to download and print the compiled data prior to class on 1/30.


  Compiled Data







 
1/22

Data Collection Continued

 

 
1/23



Students will learn how the distribution of the sample means approaches a normal distribution as the sample size increases

  Central Limeit Theorem



 
1/26



Students will learn a a method for using a normal distribution as an approximation to the binomial probability distribution.
  Normal as Approximation to Binomial




 
1/27
Project
  Project Instructions

 
1/28


Students will learn the criteria for determining whether the requirement of a normal distribution is satisfied.

  Assessing Normality


 
1/29


 


 
1/30

Review

  Practice Exam

 
2/2

Review

     
2/3


 

 
2/4

UFO Data Collection

     
2/5








UFO Data Collection (Cont.)
 
Data Collection -Data is to be submitted via email as a spreadsheet attachment by midnight 23/6. Team name is to be in the subject line. Send to kbaker@my.putnamschools.org. All students are to download and print the compiled data prior to class on 2/9.

  Compiled Data










 
2/6

Grades Project
  Data

 
2/9

UFO Project Cont.

     
2/10

UFO Quiz

     
2/11

Review

     
2/12

Unit Exam

     
2/13

Research

     
2/16

Research

     
2/17

Presidents Day

     
2/18

Research

     
2/19

Research

     
2/20

Research

     
2/23



Makeup/Enrichment

Num3ers 314 - "Take Out"

 



 
2/24




Students will learn methods for using a sample proportion to estimate the value of a population proportion.



  Estimating a Population Proportion

HW: pg 338-341, 1-33 (odd)

Sig Fig Ref Sheet

 
2/25

SAT Testing


 
 
2/26



Students will learn to estimate a population mean with a known standard deviation.


  Estimating a Population Mean - Known SD

HW: pg 309-311, 1-23 (odd)


 
2/27


Research for Literature Review #2


 

 
3/2



Research/Enrichment/Makeup

FSA Writing Assesment (9th & 10th)

 



3/3



Research/Enrichment/Makeup

FSA Writing Assesment (9th)Quiz


   

3/4



Research/Enrichment/Makeup

FSA Writing Assesment (9th)
Unit Exam

 



3/5



Research/Enrichment/Makeup

FSA Writing Assesment (9th)
Unit Exam

     
3/6



Students will learn to estimate a population mean with an unknown standard deviation.


  Estimating a Population Mean - Unknown SD

HW: pg 320-323, 1-23 (odd)


 
3/9



Students will learn to estimate a population variance.



  Estimating a Population Variance

HW: pg 351-353, 1-19 (odd)


 
3/10

Quiz

     
3/11

Review

     
3/12

Unit Exam

     
3/13



Students will learn the basics of hypothesis testing



  Basics of Hypothesis Testing

HW: pg 378-335, 1-33 (odd)


 
3/16



Students will learn how to test the claim about a proportion.


  Testing the Claim About a Proportion

HW: pg 414-416, 1-19 (odd)


 
3/17


Review


 


 
3/18

SIA #3

     
3/19

Quiz

     
3/20



Students will learn how to test a claim about a mean with a known standard deviation.


  Testing a Claim About a Mean-Known SD

HW: pg 394-398, 1-27 (odd)


 
3/23



Students will learn how to test a claim about a mean with a known standard deviation.


  Testing a Claim About a Mean-Unknown SD

HW: pg 405-408, 1-27 (odd)


 
3/24

Quiz

     
3/25




Students will learn how to test a claim about a standard deviation.

End of Third 9-Weeks

  Testing a Claim About a Std Dev or Var

HW: pg 421-423, 1-15 (odd)



 
3/26

Makeup/Enrichment

     
3/27

Planning Day

     
3/30 - 4/3

Spring Break

     
4/6

Review

     
4/7

Unit Exam
   
4/8


Students will learn to make inferences about 2 proportions.
  Inferences About 2 Proportions

HW: pg 466-468, 1-19 (odd)
 
4/9


Students will learn to make inferences about two means generated with independent samples.
   Inferences About 2 Means-Ind Samples

HW: pg 444-448, 1-19 (odd)
 
4/10

Students will learn to make inferences from matched pairs.
  Inferences from Matched Pairs

HW: pg 454-457, 1-13 (odd)
 
4/13

Quiz
     
4/14


Students will learn to compare variances in two samples.

  Comparing Var in 2 Samples

HW: pg 476-478, 1-11 (odd)
 
4/15

Project Data Collection
     
4/16
Project Data Collection Cont.
     
4/17
Project Analysis
     
4/20

Unit Exam
     
4/21


Students will learn to determine if there is a relationship between two variables.

  Correlation

HW: pg 520-523, 1-19 (odd)

 
4/22

Students will learn express a linear relationship between the independent and dependent variables.
  Regression

HW: pg 535-537, 1-19 (odd)
 
4/23



Students will learn to determine the proportion of the variation in y that can be explained with the linear relatonship between x and y.
  Variation and Prediction Intervals

HW: pg 545-547, 1-15 (odd)

 
4/24

Quiz

     
4/27



Students will learn express a linear relationship between a dependent variables and two or more independent variables.
  Multiple Regression

HW: pg 555-557, 1-15 (odd)

 
4/28


Students will learn to develop a mathematical model that fits given data.
  Modeling

HW: pg 562-563, 1-7 (odd)
 
4/29

Project

     
4/30

Unit Exam

     
5/1


Students will learn to determine if a distribution agrees (fits) a hypothesis.
  Goodness of Fit

HW: pg 584-587, 1-15 (odd)
 
5/4


Students will learn to test claims about tables.

  Contingency Tables

HW: pg 598-603, 1-17 (odd)
 
5/5



Students will learn to use McNemar’s test for testing the null hypothesis that the frequencies from the discordant (different) categories occur in the same proportion.
  McNemars Test for Matched Pairs

HW: pg 421-423, 1-15 (odd)

 
5/6

Quiz

     
5/7




Students will learn to use the the method of one-way analysis of variance, which is used for tests of hypotheses that three or more population means are all equal.
  One-Way ANOVA

HW: pg 626-628, 1-11 (odd)


 
5/8



Students will earn to use the the method of two-way analysis of variance, which is used with data partitioned into categories according to two factors.
  Two-Way ANOVA

HW: pg 638-640, 1-13 (odd)

 
5/11

Project
     
5/12

Unit Exam
     
5/13








LazStats Training







  Laz Stats Download
Users of the free WINE program should be able to run either OpenStat or LazStats (Windows versions) on a Linux system or MacIntosh OSX system.  Ubuntu users may need to download ia32-libs if using the 64bit version of Ubuntu.

LazStats User Manual
LazStats Tutorial
LazStats Practice Data Set

 
5/14

LazStats Training
     
5/15

Final Project Lab Time
     
5/18

Final Project Lab Time
     
5/19

Final Project Lab Time
     
5/20

Final Project Lab Time
     
5/21

Final Project Lab Time
     
5/22

Final Project Lab Time
   
5/25

Memorial Day Holiday
     
5/26




Project Paper Due Today (10 pt deduction for each calendar day late)

Project Presentations

  Project Tools, Requirements & Suggestions




 
5/27

Project Presentations

     
5/28

Project Presentations

     
5/29

Project Presentations

     
6/1

Review

 

 
6/2

SIA #4

     
6/3



Makeup/Enrichment

Half Day
     
6/4



Makeup/Enrichment

Half Day

     
6/5





Makeup/Enrichment

Half Day

Last Day of School

     
*Schedule is subject to change due to reteaching or unforseen events

 

Lectures are in MS PowerPoint (v10) format. The PowerPoint Vewer or Open Office suite may be freely downloaded.

 

Practice Problems are in PDF format. The 

Adobe Acrobat Viewer is also a free download.