Archive

=Graybeard Archive= =2010-2011 School Year=


 * Geometry 2010-2011
 * Pre-calculus 2010-2011
 * Statistics 2010-2011

^top =Geometry 2010-2011=

=Final Geometry Project=

=5th 6 Weeks Project - Geometry with Mr. Polley= The project is listed below - if you would like a print friendly version use this pdf -
 * ===Assigned March 2nd and 3rd===
 * ===Due March 21st and 22nd===

Instructions:
First, find your problems: 1. Find your name on the list below. 2. Next to your name there is a year and a range of 5 problem numbers. 3. Go to the Texas Education Agency Website that has the released TAKS tests: [] 4. Find the 10th grade Math TAKS test for the year that was assigned to you. 5. Find the 5 problems on that test that were assigned to you. 6. Print only those pages that contain those 5 problems. 7. Cut out the 5 problems.

Second, prepare your individual problems for display. 1. Mount each problem on a separate sheet of paper. You may use lined or unlined paper. You may mount the problem with tape or glue. 2. On each paper, list all math vocabulary words. A math vocabulary word is any word in the problem or in your solution that appears in the glossary in the back of your book. 3. Write the definition of each math vocabulary word. 4. On each paper, show your solution to the problem. 5. If you did any calculations while solving the problem, show them. 6. Explain how and why you solved the problem in the way you did. 7. If you know of another way to solve the problem, briefly mention it. 8. You may neatly hand write or type all of these but remember that clarity and neatness are part of your score.

Third, mount your individual problem on a piece of poster board. They should look like this: Answer choice analysis: In the space at the upper right, you will write a short paragraph pointing out two “tricky” multiple choice answer choices and what makes them “tricky”. These can be incorrect or correct answer choices.

Rubric:
Possible points: 125 Due Dates: 5th period: March 21st 9th period: March 22nd Late papers lose 5 point per school day. Papers turned in one week or more past the due date will get a maximum grade of 50.
 * Each sheet contains one problem: 5 points per sheet
 * Each sheet has vocabulary words listed and defined. 5 points per sheet
 * Each sheet has a clear solution. 5 points per sheet
 * Each sheet has a clear explanation. If calculations were done, they are clear. 5 points per sheet
 * Answer choice analysis: 25 points

=Archived Projects=
 * ===Geometry Scale map project[[file:Geometry Scale Map Project.pdf]]===

^top

Mr. Polley's Precalculus classes at the Houston Academy for International Studies 2010-2011
Here is the syllabus and first day letter.

St. Louis Gateway Arch - @http://www.jug.net/wt/arch.htm Jefferson Barracks Bridge Mathematics Projects - @http://www.jug.net/wt/jbbridge.htm

5th 6 weeks project
Rational Functions Project -

3rd 6 Weeks Rainfall Scatterplot Project [[file:Pre-calculus Rainfall Scatterplot Project.pdf]]
^top =Statistics 2010-2011= Here is the syllabus and first day letter.

Here is a link to some good statistics study helps

[]

3rd 6 Weeks - Correlation Poster Project [[file:Statistics Corellation Poster Project.pdf]]
Find your name in the list below. Next to your name is are the data set and variables with which you will be working. For example, if "US Crime Data, 7, 1" is listed next to your name, you will be using the US Crime Data, Variable 7 which is "LF: Labor force participation rate per 1000 civilian urban males age 14-24" will be the independent variable. Variable 1, "R: Crime rate: # of offenses reported to police per million population" will be the dependent variable.

You will be making a poster. For each of the variables assigned to you, you will calculate the mean and the standard deviation. Then use the mean and standard deviation to standardize each variable. Next you will make a scatter plot of the standardized data. Finally you will calculate the correlation coefficient.

The poster should display
 * the original data
 * the mean and standard deviation of each variable
 * the standardized data
 * the scatter plot
 * the correlation coefficient, and
 * the calculations used to find the correlation coefficient.
 * Make sure you check the 3 conditions before calculating the correlation coefficient.
 * There should also be a sentence or two interpreting the correlation coefficient. Make sure you look up any terms you do not know so you can explain them to the class.

The poster is due January 19 for 2nd period and January 20 for 6th period.

Grading Rubric:
//Work turned in 1 week or more late will receive at most a grade of 50.//
 * Criteria || Points || Score ||
 * All 8 elements represented on poster || 50 ||  ||
 * Scatter plot accurate || 25 ||  ||
 * Work is neat, clear, easy to read || 15 ||  ||
 * Interpreting correlation coefficient reasonably || 10 ||  ||
 * +1 point for every week day early ||  ||   ||
 * -5 points for every week day late ||  ||   ||

2nd period Erika Ascue Brain Data 2, 5 Warren Douglas Brain Data 2, 6 Shaina Frazier Brain Data 2, 7 Oscar Guerra Brain Data 3, 5 Jacob Odong Brain Data 3, 6 Andrea Jones Brain Data 3, 7 Crystal Sowemimo Brain Data 4, 5 Nicholas Hernandez Brain Data 4, 6 Natalia Tamez Brain Data 4, 7 Jasmine Perry Crime Rate 1, 13 Juan Vivar Crime Rate 1, 14 Ariel Anderson Crime Rate 1, 2 Luis Garcia Crime Rate 1, 6 Carletta Scott Crime Rate 1, 7 (special due date 1/24/11) Clarence Winston Crime Rate 1, 10 Micah Smith Crime Rate 1,11 (special due date 1/24/11) Juan Rodriguez Crime Rate 1,12 (special due date 1/24/11) Jimmy Donelson Crime Rate 1,13 (special due date 1/24/11) Jameelat Aboiye Brain Data 2,5 (special due date 1/26/11) Lorena Tejeda Brain Data 2,6 (special due date 1/26/11) Margarita Gamero Crime Rate 1,9 (special due date 2/2/11) Maria Perez Crime Rate 1,8 (special due data 2/2/11) Gustavo Tisol Brain Data 2,7 (special due data 2/2/11)

6th period Cindy Aranjo Crime Rate 1, 2 Alejandro Ortuno Crime Rate 1, 4 Hilario Yanez Crime Rate 1, 5 Benjamin Brooks Crime Rate 1, 6 Isaac Escamilla Crime Rate 1, 7 Nallely Gonzalez 1,13 (special due date 1/24/11) Jessica Perlaza Crime Rate 1, 8 Shawn Carmona Crime Rate 1, 9 Rody Casillas Crime Rate 1, 10 Shelby Chetlin Crime Rate 1, 11 Shia Matthews Crime Rate 1, 12 Andrew Sanchez Crime Rate 1,2 (special due date 1/24/11)

=Data for 3rd 6 Weeks Project=

Brain Data
Reference: //Intelligence//Description: Willerman et al. (1991) collected a sample of 40 right-handed Anglo introductory psychology students at a large southwestern university. Subjects took four subtests (Vocabulary, Similarities, Block Design, and Picture Completion) of the Wechsler (1981) Adult Intelligence Scale-Revised. The researchers used Magnetic Resonance Imaging (MRI) to determine the brain size of the subjects. Information about gender and body size (height and weight) are also included. The researchers withheld the weights of two subjects and the height of one subject for reasons of confidentiality.

Number of cases: 40

Variable Names: The Data: code Gender   FSIQ   VIQ    PIQ    Weight    Height    MRI_Count Female   133    132    124      118    64.5    816932 Male     140    150    124      ¥      72.5    1001121 Male     139    123    150      143    73.3    1038437 Male     133    129    128      172    68.8    965353 Female   137    132    134      147    65.0    951545 Female   99     90     110      146    69.0    928799 Female   138    136    131      138    64.5    991305 Female   92     90     98       175    66.0    854258 Male     89     93     84       134    66.3    904858 Male     133    114    147      172    68.8    955466 Female   132    129    124      118    64.5    833868 Male     141    150    128      151    70.0    1079549 Male     135    129    124      155    69.0    924059 Female   140    120    147      155    70.5    856472 Female   96     100    90       146    66.0    878897 Female   83     71     96       135    68.0    865363 Female   132    132    120      127    68.5    852244 Male     100    96     102      178    73.5    945088 Female   101    112    84       136    66.3    808020 Male     80     77     86       180    70.0    889083 Male     83     83     86       ¥      ¥       892420 Male     97     107    84       186    76.5    905940 Female   135    129    134      122    62.0    790619 Male     139    145    128      132    68.0    955003 Female   91     86     102      114    63.0    831772 Male     141    145    131      171    72.0    935494 Female   85     90     84       140    68.0    798612 Male     103    96     110      187    77.0    1062462 Female   77     83     72       106    63.0    793549 Female   130    126    124      159    66.5    866662 Female   133    126    132      127    62.5    857782 Male     144    145    137      191    67.0    949589 Male     103    96     110      192    75.5    997925 Male     90     96     86       181    69.0    879987 Female   83     90     81       143    66.5    834344 Female   133    129    128      153    66.5    948066 Male     140    150    124      144    70.5    949395 Female   88     86    94        139    64.5    893983 Male     81     90    74        148    74.0    930016 Male     89     91    89        179    75.5    935863 code
 * 1) Gender: Male or Female
 * 2) FSIQ: Full Scale IQ scores based on the four Wechsler (1981) subtests
 * 3) VIQ: Verbal IQ scores based on the four Wechsler (1981) subtests
 * 4) PIQ: Performance IQ scores based on the four Wechsler (1981) subtests
 * 5) Weight: body weight in pounds
 * 6) Height: height in inches
 * 7) MRI_Count: total pixel Count from the 18 MRI scans

Baby Crawling Data
Reference://Infant Behavior and Development.// Variable Names: The Data: code birth_month   avg_crawling_age    SD    n    temperature January           29.84         7.08    32    66 February          30.52         6.96    36    73 March             29.70         8.33    23    72 April             31.84         6.21    26    63 May               28.58         8.07    27    52 June              31.44         8.10    29    39 July              33.64         6.91    21    33 August            32.82         7.61    45    30 September         33.83         6.93    38    33 October           33.35         7.29    44    37 November          33.38         7.42    49    48 December          32.32         5.71    44    57 code
 * 1) birth_month: month of the birth
 * 2) avg_crawling_age: average age in weeks that this group learned to crawl
 * SD: standard deviation of time to crawling for this group
 * n: number of infants in that birth month group
 * 1) temperature: average monthly temperature six months after birth month

US Crime Data
Reference: Vandaele, W. (1978) Participation in illegitimate activities: Erlich revisited. In Deterrence and incapacitation, Blumstein, A., Cohen, J. and Nagin, D., eds., Washington, D.C.: National Academy of Sciences, 270-335. Methods: A Primer, New York: Chapman & Hall, 11. Also found in: Hand, D.J., et al. (1994) A Handbook of Small Data Sets, London: Chapman & Hall, 101-103. Description: These data are crime-related and demographic statistics for 47 US states in 1960. The data were collected from the FBI's Uniform Crime Report and other government agencies to determine how the variable crime rate depends on the other variables measured in the study. Number of cases: 47 Variable Names: code code The Data: code R Age S Ed Ex0 Ex1 LF M N NW U1 U2 W X 79.1 151 1 91 58 56 510 950 33 301 108 41 394 261 163.5 143 0 113 103 95 583 1012 13 102 96 36 557 194 57.8 142 1 89 45 44 533 969 18 219 94 33 318 250 196.9 136 0 121 149 141 577 994 157 80 102 39 673 167 123.4 141 0 121 109 101 591 985 18 30 91 20 578 174 68.2 121 0 110 118 115 547 964 25 44 84 29 689 126 96.3 127 1 111 82 79 519 982 4 139 97 38 620 168 155.5 131 1 109 115 109 542 969 50 179 79 35 472 206 85.6 157 1 90 65 62 553 955 39 286 81 28 421 239 70.5 140 0 118 71 68 632 1029 7 15 100 24 526 174 167.4 124 0 105 121 116 580 966 101 106 77 35 657 170 84.9 134 0 108 75 71 595 972 47 59 83 31 580 172 51.1 128 0 113 67 60 624 972 28 10 77 25 507 206 66.4 135 0 117 62 61 595 986 22 46 77 27 529 190 79.8 152 1 87 57 53 530 986 30 72 92 43 405 264 94.6 142 1 88 81 77 497 956 33 321 116 47 427 247 53.9 143 0 110 66 63 537 977 10 6 114 35 487 166 92.9 135 1 104 123 115 537 978 31 170 89 34 631 165 75.0 130 0 116 128 128 536 934 51 24 78 34 627 135 122.5 125 0 108 113 105 567 985 78 94 130 58 626 166 74.2 126 0 108 74 67 602 984 34 12 102 33 557 195 43.9 157 1 89 47 44 512 962 22 423 97 34 288 276 121.6 132 0 96 87 83 564 953 43 92 83 32 513 227 96.8 131 0 116 78 73 574 1038 7 36 142 42 540 176 52.3 130 0 116 63 57 641 984 14 26 70 21 486 196 199.3 131 0 121 160 143 631 1071 3 77 102 41 674 152 34.2 135 0 109 69 71 540 965 6 4 80 22 564 139 121.6 152 0 112 82 76 571 1018 10 79 103 28 537 215 104.3 119 0 107 166 157 521 938 168 89 92 36 637 154 69.6 166 1 89 58 54 521 973 46 254 72 26 396 237 37.3 140 0 93 55 54 535 1045 6 20 135 40 453 200 75.4 125 0 109 90 81 586 964 97 82 105 43 617 163 107.2 147 1 104 63 64 560 972 23 95 76 24 462 233 92.3 126 0 118 97 97 542 990 18 21 102 35 589 166 65.3 123 0 102 97 87 526 948 113 76 124 50 572 158 127.2 150 0 100 109 98 531 964 9 24 87 38 559 153 83.1 177 1 87 58 56 638 974 24 349 76 28 382 254 56.6 133 0 104 51 47 599 1024 7 40 99 27 425 225 82.6 149 1 88 61 54 515 953 36 165 86 35 395 251 115.1 145 1 104 82 74 560 981 96 126 88 31 488 228 88.0 148 0 122 72 66 601 998 9 19 84 20 590 144 54.2 141 0 109 56 54 523 968 4 2 107 37 489 170 82.3 162 1 99 75 70 522 996 40 208 73 27 496 224 103.0 136 0 121 95 96 574 1012 29 36 111 37 622 162 45.5 139 1 88 46 41 480 968 19 49 135 53 457 249 50.8 126 0 104 106 97 599 989 40 24 78 25 593 171 84.9 130 0 121 90 91 623 1049 3 22 113 40 588 160 code
 * R: Crime rate: # of offenses reported to police per million population
 * 1) Age: The number of males of age 14-24 per 1000 population
 * S: Indicator variable for Southern states (0 = No, 1 = Yes)
 * Ed: Mean # of years of schooling x 10 for persons of age 25 or older
 * 1) Ex0: 1960 per capita expenditure on police by state and local government
 * 2) Ex1: 1959 per capita expenditure on police by state and local government
 * LF: Labor force participation rate per 1000 civilian urban males age 14-24
 * M: The number of males per 1000 females
 * N: State population size in hundred thousands
 * NW: The number of non-whites per 1000 population
 * U1: Unemployment rate of urban males per 1000 of age 14-24
 * U2: Unemployment rate of urban males per 1000 of age 35-39
 * W: Median value of transferable goods and assets or family income in tens of $
 * X: The number of families per 1000 earning below 1/2 the median income