Assessment 2 Correlation Application and Interpretation Instructions ResourcesActivityAttempt 1 available Attempt 2Attempt 3 InstructionsResourcesActivityAttempt 1 availableAttempt 2Attempt 3 Use statistical software to create, interpret, and analyze two histograms in a Word document Expand All Introduction Exploring the associations between some variables in the courseroom using correlations might provide some important information about learner success You'll need to pay attention to both magnitude, which is the strength of the association, and directionality, which is the direction (positive or negative) of the association During this assessment, you'll start learning about how to best approach correlational analyses like these and start getting some answers You'll explore the relationships that may or may not exist in your courseroom data In this assessment, you'll get a chance to run and interpret your first inferential statistics analysis correlations Your readings and the Course Study Guide will help you in your efforts Instructions For this assessment, you will use the Data Analysis and Application template ( DAA Template DOCX Download DAA Template DOCX ) For help with statistical software, refer to the JASP Step by Step Correlations PDF Download JASP Step by Step Correlations PDF document View JASP Speedrun Correlations Video for a brief tutorial video on this assessment Refer to the 7864 Course Study Guide PDF Download 7864 Course Study Guide PDF for information on analyses and interpretation For information on the data set, refer to the 7864 Data Set Instructions PDF Download 7864 Data Set Instructions PDF document The grades jasp Download grades jaspfile is a sample data set The data represent a teacher's recording of student demographics and performance on quizzes and a final exam across three sections of the course This assessment is on correlations You will analyze the following variables in the grades jasp Download grades jaspdata set Variables and Definitions Variable Definition Quiz 1 Quiz 1 number of correct answers GPA Previous grade point average Total Total number of points earned in class Final Final exam number of correct answers The DAA Template DOCX Download DAA Template DOCX has five sections Data Analysis Plan Testing Assumptions Results Interpretation Statistical Conclusions Application Step 1 Write Section 1 of the DAA Data Analysis Plan Name the four variables used in this analysis and whether they are categorical or continuous State a research question, null hypothesis, and alternate hypothesis for the total final correlation State a research question, null hypothesis, and alternate hypothesis for the gpa quiz1 correlation Step 2 Write Section 2 of the DAA Testing Assumptions Test for one of the assumptions of correlationnormality Create a descriptive statistics table in the statistical software to assess normality This table should include the four variables named above including skew and kurtosis for each variable Paste the table in the DAA template Interpret the skewness and kurtosis values and determine whether the assumption of normality was violated or not violated Step 3 Write Section 3 of the DAA Results Interpretation Using the statistical software, paste the intercorrelation matrix for the four variables into the document Below the output, first report the total final correlation including degrees of freedom, correlation coefficient, and p value Specify whether or not to reject the null hypothesis for this correlation Second, report the gpa quiz1 correlation including degrees of freedom, correlation coefficient, and p value Specify whether or not to reject the null hypothesis for this correlation Step 4 Write Section 4 of the DAA Statistical Conclusions Provide a brief summary of your analysis and the conclusions drawn about correlations Analyze the limitations of the statistical test and or possible alternative explanations for your results Step 5 Write Section 5 of the DAA Application Analyze how you might use correlations in your field of study Name two variables that would work for such an analysis and why studying the relationship may be important to the field or practice Submit your completed DAA Template as an attached Word document in the assessment area Software The following statistical analysis software is required to complete your assessments in this course Jeffreys's Amazing Statistics Program (JASP) Refer to the Tools and Software JASP page on Campus for general information Make sure that your statistical software is downloaded, installed, and running properly on your computer Competencies Measured By successfully completing this assessment, you will demonstrate your proficiency in the course competencies through the following assessment scoring guide criteria Competency 1 Analyze the computation, application, strengths, and limitations of various statistical tests Analyze statistical assumptions Competency 2 Analyze the decision making process of data analysis Articulate the data analysis plan Competency 3 Apply knowledge of hypothesis testing Interpret statistical results and hypotheses Competency 4 Interpret the results of statistical analyses Explain statistical conclusions, the limitations of the test, and or possible alternative explanations Competency 6 Apply the results of statistical analyses (your own or others) to your field of interest or career Analyze the potential applications of the test in the field and their implications Competency 7 Communicate in a manner that is scholarly, professional, and consistent with the expectations for members in the identified field of study id lastname firstname genderidentity ethnicity year lowup section gpa extcr review quiz1 quiz2 quiz3 quiz4 quiz5 final total percent grade passfail 988808 MCCONAHA CORA 1 4 3 2 3 3 06 1 1 7 8 8 8 7 68 106 84 8 B 1 985700 CHA LILY 1 4 2 1 1 2 43 2 2 10 9 5 10 7 63 104 83 2 B 1 983522 SLOAT AARON 2 3 3 2 3 2 11 2 1 4 5 7 6 6 50 78 62 4 D 0 979028 NEUHARTH JIM 2 4 2 1 3 1 8 1 2 3 6 7 4 5 60 85 68 D 0 978889 ZIMCHEK ARMANDO 2 4 4 2 1 3 9 1 2 4 8 6 6 9 64 97 77 6 C 0 973427 ROSS MARIA 1 4 4 2 1 3 19 2 1 9 7 5 9 7 65 102 81 6 B 1 972678 KAHRS JAN 2 4 4 2 2 2 37 2 2 10 10 10 10 10 53 103 82 4 C 0 958384 RONCO SHERRY 1 4 2 1 1 2 3 2 2 10 9 7 10 7 60 103 82 4 B 1 944702 LEDESMA MARTINE 1 4 3 2 2 3 9 2 1 6 7 6 5 9 67 100 80 B 1 938881 YEO DENISE 1 1 1 1 3 3 53 1 2 7 10 6 8 9 72 112 89 6 A 1 938666 SUAREZ TAN KHANH 2 2 1 1 3 2 02 2 2 10 8 10 10 7 52 97 77 6 C 0 921297 KINZER RICHARD 3 4 3 2 2 2 73 1 1 7 9 8 7 8 67 106 84 8 B 1 920656 LIAO MICHELLE 1 2 2 1 2 3 28 2 2 10 9 10 10 9 72 120 96 A 1 915457 SHEARER LUCIO 2 3 3 2 1 2 22 2 1 10 10 7 9 8 52 96 76 8 C 0 911355 LESKO LETICIA 1 3 2 1 3 3 49 1 2 10 9 6 10 8 71 114 91 2 A 1 908754 MARQUEZ CHYRELLE 1 4 1 1 2 1 85 2 2 4 8 7 7 9 57 92 73 6 C 0 905109 JENKINS ERIC 3 3 2 1 3 2 84 1 1 6 8 6 6 10 64 100 80 B 1 900485 COCHRAN STACY 5 4 1 1 2 2 77 2 2 10 9 8 10 9 61 107 85 6 B 1 899529 HAWKINS CARHERINE 1 3 4 2 2 2 31 1 1 10 8 7 10 7 55 97 77 6 C 0 898766 RAO DAWN 1 2 3 2 1 3 9 1 2 8 10 7 8 9 73 115 92 A 1 897606 GENOBAGA JACQUELINE 1 2 1 1 3 2 92 2 2 8 9 6 8 7 68 106 84 8 B 1 896972 HUANG MIRNA 1 2 2 1 1 2 56 1 1 7 6 7 8 7 57 92 73 6 C 0 870810 REYNO NICHOLAS 2 4 3 2 3 3 66 2 1 10 8 10 10 10 68 116 92 8 A 1 843472 PRADO DON 2 5 3 2 3 3 54 2 1 9 9 9 8 9 68 112 89 6 A 1 822485 VALENZUELA KATHRYN 1 4 1 1 1 3 9 1 2 8 9 8 10 8 66 109 87 2 B 1 818528 CARRINGTON JYLL 1 4 3 2 1 1 95 1 2 9 10 7 8 8 53 95 76 C 0 807963 LEWIS CARL 2 3 2 1 1 2 56 2 1 8 5 6 4 7 62 92 73 6 C 0 798931 ZUILL RENAE 1 4 4 2 1 2 22 2 2 10 9 7 10 8 62 106 84 8 B 1 781676 WATKINS YVONNE 1 3 4 2 1 4 1 1 9 9 8 10 9 70 115 92 A 1 780028 ROBINSON CLAYTON 2 4 3 2 1 3 9 2 2 10 10 8 9 10 73 120 96 A 1 779481 AHGHEL BRENDA 1 5 1 1 1 3 01 1 2 3 5 6 2 4 49 69 55 2 F 0 777683 ANDERSON ERIC 2 5 4 2 3 2 4 2 1 3 6 6 2 6 50 73 58 4 F 0 768995 DUMITRESCU STACY 3 4 4 2 2 2 88 1 1 7 10 7 9 10 60 103 82 4 B 1 765360 ROBINSON ERIC 2 3 3 2 2 2 43 1 2 8 8 7 8 10 65 106 84 8 B 1 762813 DAEL IVAN 2 3 2 1 1 2 27 2 1 10 9 7 10 10 62 108 86 4 B 1 762308 GOUW BONNIE 1 4 2 1 3 3 9 2 2 8 7 8 10 8 57 98 78 4 C 0 756097 KURSEE JACKIE 1 3 4 2 2 3 13 1 1 9 6 7 7 10 66 105 84 B 1 755724 LANGFORD TREVOR 2 4 1 1 2 2 96 1 2 8 9 8 9 8 62 104 83 2 B 1 737728 BELTRAN JIM 2 3 3 2 1 2 57 2 1 6 8 7 5 7 62 95 76 C 0 725987 BATILLER FRED 2 2 2 1 2 1 77 2 2 6 7 7 7 5 70 102 81 6 B 1 721311 SONG LOUIS 2 2 2 1 3 1 61 1 1 6 9 6 7 10 64 102 81 6 B 1 703740 SUNYA DALE 2 5 3 2 3 3 58 1 2 10 9 10 10 7 62 108 86 4 B 1 700978 WEBSTER DEANNA 1 3 2 1 3 3 9 2 1 8 9 10 10 10 67 114 91 2 A 1 681855 GRISWOLD TAMMY 1 4 3 2 2 1 5 2 2 5 7 6 5 8 57 88 70 4 C 0 664653 KHAN JOHN 2 4 3 2 3 1 24 1 1 3 8 8 2 7 59 87 69 6 C 0 623857 CORTEZ VIKKI 1 3 4 2 3 2 56 1 2 5 7 9 5 6 58 90 72 C 0 616095 SPRINGER ANNELIES 1 4 2 1 1 3 64 2 1 10 10 10 10 10 72 122 97 6 A 1 615115 VASENIUS RUSS 2 3 1 1 3 3 77 1 2 6 7 6 8 6 59 92 73 6 C 0 595177 WILLIAMS OLIMPIA 1 3 3 2 3 1 24 2 1 7 6 10 10 5 53 91 72 8 C 0 594463 CRUZADO MARITESS 1 4 4 2 2 3 05 1 2 9 8 8 8 8 65 106 84 8 B 1 576141 MISHALANY LUCY 1 4 2 1 1 3 57 1 2 0 3 5 2 2 42 54 43 2 F 0 576008 BULMERKA HUSIBA 1 4 4 2 3 3 45 2 1 10 8 8 9 7 68 110 88 B 1 574170 HURRIA WAYNE 2 1 2 1 2 3 84 2 1 4 5 6 6 6 48 75 60 D 0 554809 JONES LISA 1 3 4 2 3 3 35 1 1 7 8 9 9 6 69 108 86 4 B 1 553919 KWON SHELLY 1 2 1 1 1 3 9 2 2 10 10 8 10 8 75 121 96 8 A 1 546022 HAMIDI KIMBERLY 1 5 3 2 1 2 96 1 1 7 7 7 9 8 61 99 79 2 C 0 519444 RATHBUN DAWNE 1 4 4 2 2 3 7 2 1 10 9 9 10 8 74 120 96 A 1 515586 FIALLOS LAUREL 1 4 2 1 2 3 9 1 1 7 8 7 6 6 63 97 77 6 C 0 506467 SCARBROUGH CYNTHE 1 4 3 2 2 2 45 1 2 8 5 6 4 7 58 88 70 4 C 0 498900 HUANG JOE 2 5 1 1 3 3 47 2 1 0 5 6 2 5 40 58 46 4 F 0 490016 STEPHEN LIZA 5 5 3 2 2 2 72 1 2 8 9 7 8 10 60 102 81 6 B 1 479547 LANGFORD BLAIR 2 3 1 1 1 3 42 2 1 10 10 8 9 10 75 122 97 6 A 1 473303 PARK SANDRA 1 3 4 2 2 3 17 1 2 8 8 4 10 9 70 109 87 2 B 1 467806 DEVERS GAIL 1 3 4 2 1 2 34 2 1 7 6 8 7 9 59 96 76 8 C 0 466407 PICKERING HEIDI 1 3 3 2 3 2 38 1 1 4 7 6 4 7 62 90 72 C 0 463276 HANSEN TIM 2 4 1 1 1 3 84 2 2 10 10 7 9 10 74 120 96 A 1 447659 GALANVILLE DANA 4 5 4 2 3 2 77 2 1 6 8 9 5 8 63 99 79 2 C 0 436413 PANG SUZANNE 1 2 3 2 1 3 66 1 2 8 6 7 8 7 60 96 76 8 C 0 434571 SURI MATHEW 4 2 4 2 2 2 8 2 1 7 6 5 8 8 60 94 75 2 C 0 420327 BADGER SUZANNA 3 4 1 1 3 2 61 1 2 10 10 7 10 10 53 100 80 B 1 419891 DE CANIO PAULA 1 4 4 2 2 3 53 2 1 6 7 7 9 9 54 92 73 6 C 0 417003 EVANGELIST NIKKI 5 2 1 1 2 2 91 1 2 9 8 6 10 6 66 105 84 B 1 414775 RATANA JASON 2 2 3 2 1 2 28 1 1 8 9 8 10 9 50 94 75 2 C 0 392464 DOMINGO MONIKA 1 4 1 1 3 3 02 2 1 10 10 10 9 9 55 103 82 4 B 1 390203 SHIMA MIHAELA 1 2 3 2 2 2 28 1 1 6 7 7 6 8 61 95 76 C 0 380157 LUTZ WILLIAM 2 4 1 1 2 3 2 2 10 9 5 10 8 61 103 82 4 B 1 378446 SAUNDERS TAMARA 3 1 2 1 2 2 8 2 1 4 6 5 4 5 57 81 64 8 D 0 354601 CARPIO MARY 1 2 2 1 1 3 1 2 10 10 7 10 9 71 117 93 6 A 1 337908 UYEYAMA VICTORINE 1 1 3 2 2 2 34 2 1 10 8 6 10 7 63 104 83 2 B 1 307894 TORRENCE GWEN 1 3 2 1 2 2 09 2 2 6 5 6 7 6 62 92 73 6 C 0 302400 JONES ROBERT 2 3 4 2 3 2 01 1 2 2 5 6 5 6 50 74 59 2 F 0 289652 BRADLEY SHANNON 1 4 3 2 1 2 46 2 1 6 9 8 9 9 68 109 87 2 B 1 287617 CUMMINGS DAVENA 1 5 1 1 3 2 21 1 2 9 10 9 9 9 52 98 78 4 C 0 280440 CHANG RENE 1 2 3 2 2 3 9 1 1 10 8 5 10 8 68 109 87 2 B 1 273611 WU VIDYUTH 2 2 2 1 2 3 7 2 2 3 6 6 6 6 55 82 65 6 D 0 260983 CUSTER JAMES 2 4 4 2 1 3 12 1 1 10 9 8 10 7 60 104 83 2 B 1 249586 STOLL GLENDON 2 4 3 2 2 2 41 2 1 5 9 4 6 10 63 97 77 6 C 0 245473 DAYES ROBERT 4 4 1 1 1 2 64 1 1 8 9 8 7 10 48 90 72 C 0 237983 LEE JONATHAN 2 2 4 2 2 2 4 2 2 5 7 4 7 6 63 92 73 6 C 0 219593 POTTER MICKEY 2 5 1 1 3 2 54 1 1 5 8 8 4 10 61 96 76 8 C 0 211239 AUSTIN DERRICK 2 4 3 2 3 3 23 1 2 5 5 8 6 4 52 80 64 D 0 192627 MISCHKE ELAINE 1 4 1 1 2 3 5 2 1 3 8 5 6 8 55 85 68 D 0 175325 KHOURY DENNIS 2 4 1 1 1 2 35 1 1 8 8 7 10 6 69 108 86 4 B 1 167664 SWARM MARK 2 4 3 2 3 2 25 2 2 8 10 10 10 9 71 118 94 4 A 1 164842 VALENZUELA NANCY 1 1 4 2 2 2 32 1 1 7 8 5 7 10 59 96 76 8 C 0 164605 LANGFORD DAWN 1 3 3 2 2 3 49 2 1 10 10 2 10 10 73 115 92 A 1 157147 BAKKEN KREG 3 4 4 2 1 2 85 2 2 10 10 10 10 9 74 123 98 4 A 1 154441 LIAN JENNY 1 5 2 1 1 3 57 1 2 10 9 8 10 10 71 118 94 4 A 1 153964 TOMOSAWA DANIEL 2 2 1 1 3 1 74 2 1 10 9 9 10 10 63 111 88 8 B 1 142630 RANGIFO TANIECE 1 4 1 1 3 3 64 1 2 10 10 9 9 9 74 121 96 8 A 1 140219 GUADIZ VALERIE 5 2 4 2 1 2 84 2 1 7 8 8 8 10 66 107 85 6 B 1 132931 OSBORNE ANN 1 3 2 1 2 3 56 1 1 7 8 5 7 6 68 101 80 8 B 1 127285 GALVEZ JACKIE 1 4 4 2 2 2 46 2 2 10 7 7 9 7 57 97 77 6 C 0 108642 VALAZQUEZ SCOTT 2 4 1 1 2 2 09 2 1 10 10 6 6 9 54 95 76 C 0 106484 VILLARRUZ ALFRED 2 2 2 1 2 1 08 1 2 6 5 6 6 3 53 79 63 2 D 1 Communicate in a manner that is scholarly and professional, and adheres to APA style and formatting

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Question: Assessment 2 Correlation Application and Interpretation Instructions ResourcesActivityAttempt 1 available Attempt 2Attempt 3 InstructionsResourcesActivityAttempt 1 availableAttempt 2Attempt 3 Use statistical software to create, interpret, and

Assessment 2

Correlation Application and Interpretation

InstructionsResourcesActivityAttempt 1availableAttempt 2Attempt 3

InstructionsResourcesActivityAttempt 1 availableAttempt 2Attempt 3

Use statistical software to create, interpret, and analyze two histograms in a Word document.

Expand AllIntroduction

Exploring the associations between some variables in the courseroom using correlations might provide some important information about learner success. You'll need to pay attention to both magnitude, which is the strength of the association, and directionality, which is the direction (positive or negative) of the association. During this assessment, you'll start learning about how to best approach correlational analyses like these and start getting some answers. You'll explore the relationships that may or may not exist in your courseroom data.

In this assessment, you'll get a chance to run and interpret your first inferential statistics analysis: correlations. Your readings and the Course Study Guide will help you in your efforts.

Instructions

For this assessment, you will use the Data Analysis and Application template (DAA Template [DOCX] Download DAA Template [DOCX]).

For help with statistical software, refer to the JASP Step-by-Step: Correlations [PDF] Download JASP Step-by-Step: Correlations [PDF]document.
View JASP Speedrun: Correlations [Video] for a brief tutorial video on this assessment.
Refer to the 7864 Course Study Guide [PDF] Download 7864 Course Study Guide [PDF]for information on analyses and interpretation.
For information on the data set, refer to the 7864 Data Set Instructions [PDF] Download 7864 Data Set Instructions [PDF]document.

The grades.jasp Download grades.jaspfile is a sample data set. The data represent a teacher's recording of student demographics and performance on quizzes and a final exam across three sections of the course.

This assessment is on correlations. You will analyze the following variables in the grades.jasp Download grades.jaspdata set:

Variables and Definitions

Variable	Definition
Quiz 1	Quiz 1: number of correct answers
GPA	Previous grade point average
Total	Total number of points earned in class
Final	Final exam: number of correct answers

The DAA Template [DOCX] Download DAA Template [DOCX]has five sections:

Data Analysis Plan.
Testing Assumptions.
Results & Interpretation.
Statistical Conclusions.
Application.

Step 1: Write Section 1 of the DAA: Data Analysis Plan

Name the four variables used in this analysis and whether they are categorical or continuous.
State a research question, null hypothesis, and alternate hypothesis for the total-final correlation.
State a research question, null hypothesis, and alternate hypothesis for the gpa-quiz1 correlation.

Step 2: Write Section 2 of the DAA: Testing Assumptions

Test for one of the assumptions of correlationnormality.

Create a descriptive statistics table in the statistical software to assess normality. This table should include the four variables named above including skew and kurtosis for each variable.
Paste the table in the DAA template.
Interpret the skewness and kurtosis values and determine whether the assumption of normality was violated or not violated.

Step 3: Write Section 3 of the DAA: Results & Interpretation

Using the statistical software, paste the intercorrelation matrix for the four variables into the document.
Below the output, first report the total-final correlation including degrees of freedom, correlation coefficient, and p value. Specify whether or not to reject the null hypothesis for this correlation.
Second, report the gpa-quiz1 correlation including degrees of freedom, correlation coefficient, and p value. Specify whether or not to reject the null hypothesis for this correlation.

Step 4: Write Section 4 of the DAA: Statistical Conclusions

Provide a brief summary of your analysis and the conclusions drawn about correlations.
Analyze the limitations of the statistical test and/or possible alternative explanations for your results.

Step 5: Write Section 5 of the DAA: Application

Analyze how you might use correlations in your field of study.
Name two variables that would work for such an analysis and why studying the relationship may be important to the field or practice.

Submit your completed DAA Template as an attached Word document in the assessment area.

Software

The following statistical analysis software is required to complete your assessments in this course:

Jeffreys's Amazing Statistics Program (JASP).

Refer to the Tools and Software: JASP page on Campus for general information. Make sure that your statistical software is downloaded, installed, and running properly on your computer.

Competencies Measured

By successfully completing this assessment, you will demonstrate your proficiency in the course competencies through the following assessment scoring guide criteria:

Competency 1: Analyze the computation, application, strengths, and limitations of various statistical tests.
- Analyze statistical assumptions.
Competency 2: Analyze the decision making process of data analysis.
- Articulate the data analysis plan.
Competency 3: Apply knowledge of hypothesis testing.
- Interpret statistical results and hypotheses.
Competency 4: Interpret the results of statistical analyses.
- Explain statistical conclusions, the limitations of the test, and/or possible alternative explanations.
Competency 6: Apply the results of statistical analyses (your own or others) to your field of interest or career.
- Analyze the potential applications of the test in the field and their implications.
Competency 7: Communicate in a manner that is scholarly, professional, and consistent with the expectations for members in the identified field of study.

id	lastname	firstname	genderidentity	ethnicity	year	lowup	section	gpa	extcr	review	quiz1	quiz2	quiz3	quiz4	quiz5	final	total	percent	grade	passfail
988808	MCCONAHA	CORA	1	4	3	2	3	3.06	1	1	7	8	8	8	7	68	106	84.8	B	1
985700	CHA	LILY	1	4	2	1	1	2.43	2	2	10	9	5	10	7	63	104	83.2	B	1
983522	SLOAT	AARON	2	3	3	2	3	2.11	2	1	4	5	7	6	6	50	78	62.4	D	0
979028	NEUHARTH	JIM	2	4	2	1	3	1.8	1	2	3	6	7	4	5	60	85	68	D	0
978889	ZIMCHEK	ARMANDO	2	4	4	2	1	3.9	1	2	4	8	6	6	9	64	97	77.6	C	0
973427	ROSS	MARIA	1	4	4	2	1	3.19	2	1	9	7	5	9	7	65	102	81.6	B	1
972678	KAHRS	JAN	2	4	4	2	2	2.37	2	2	10	10	10	10	10	53	103	82.4	C	0
958384	RONCO	SHERRY	1	4	2	1	1	2.3	2	2	10	9	7	10	7	60	103	82.4	B	1
944702	LEDESMA	MARTINE	1	4	3	2	2	3.9	2	1	6	7	6	5	9	67	100	80	B	1
938881	YEO	DENISE	1	1	1	1	3	3.53	1	2	7	10	6	8	9	72	112	89.6	A	1
938666	SUAREZ-TAN	KHANH	2	2	1	1	3	2.02	2	2	10	8	10	10	7	52	97	77.6	C	0
921297	KINZER	RICHARD	3	4	3	2	2	2.73	1	1	7	9	8	7	8	67	106	84.8	B	1
920656	LIAO	MICHELLE	1	2	2	1	2	3.28	2	2	10	9	10	10	9	72	120	96	A	1
915457	SHEARER	LUCIO	2	3	3	2	1	2.22	2	1	10	10	7	9	8	52	96	76.8	C	0
911355	LESKO	LETICIA	1	3	2	1	3	3.49	1	2	10	9	6	10	8	71	114	91.2	A	1
908754	MARQUEZ	CHYRELLE	1	4	1	1	2	1.85	2	2	4	8	7	7	9	57	92	73.6	C	0
905109	JENKINS	ERIC	3	3	2	1	3	2.84	1	1	6	8	6	6	10	64	100	80	B	1
900485	COCHRAN	STACY	5	4	1	1	2	2.77	2	2	10	9	8	10	9	61	107	85.6	B	1
899529	HAWKINS	CARHERINE	1	3	4	2	2	2.31	1	1	10	8	7	10	7	55	97	77.6	C	0
898766	RAO	DAWN	1	2	3	2	1	3.9	1	2	8	10	7	8	9	73	115	92	A	1
897606	GENOBAGA	JACQUELINE	1	2	1	1	3	2.92	2	2	8	9	6	8	7	68	106	84.8	B	1
896972	HUANG	MIRNA	1	2	2	1	1	2.56	1	1	7	6	7	8	7	57	92	73.6	C	0
870810	REYNO	NICHOLAS	2	4	3	2	3	3.66	2	1	10	8	10	10	10	68	116	92.8	A	1
843472	PRADO	DON	2	5	3	2	3	3.54	2	1	9	9	9	8	9	68	112	89.6	A	1
822485	VALENZUELA	KATHRYN	1	4	1	1	1	3.9	1	2	8	9	8	10	8	66	109	87.2	B	1
818528	CARRINGTON	JYLL	1	4	3	2	1	1.95	1	2	9	10	7	8	8	53	95	76	C	0
807963	LEWIS	CARL	2	3	2	1	1	2.56	2	1	8	5	6	4	7	62	92	73.6	C	0
798931	ZUILL	RENAE	1	4	4	2	1	2.22	2	2	10	9	7	10	8	62	106	84.8	B	1
781676	WATKINS	YVONNE	1	3	4	2	1	4	1	1	9	9	8	10	9	70	115	92	A	1
780028	ROBINSON	CLAYTON	2	4	3	2	1	3.9	2	2	10	10	8	9	10	73	120	96	A	1
779481	AHGHEL	BRENDA	1	5	1	1	1	3.01	1	2	3	5	6	2	4	49	69	55.2	F	0
777683	ANDERSON	ERIC	2	5	4	2	3	2.4	2	1	3	6	6	2	6	50	73	58.4	F	0
768995	DUMITRESCU	STACY	3	4	4	2	2	2.88	1	1	7	10	7	9	10	60	103	82.4	B	1
765360	ROBINSON	ERIC	2	3	3	2	2	2.43	1	2	8	8	7	8	10	65	106	84.8	B	1
762813	DAEL	IVAN	2	3	2	1	1	2.27	2	1	10	9	7	10	10	62	108	86.4	B	1
762308	GOUW	BONNIE	1	4	2	1	3	3.9	2	2	8	7	8	10	8	57	98	78.4	C	0
756097	KURSEE	JACKIE	1	3	4	2	2	3.13	1	1	9	6	7	7	10	66	105	84	B	1
755724	LANGFORD	TREVOR	2	4	1	1	2	2.96	1	2	8	9	8	9	8	62	104	83.2	B	1
737728	BELTRAN	JIM	2	3	3	2	1	2.57	2	1	6	8	7	5	7	62	95	76	C	0
725987	BATILLER	FRED	2	2	2	1	2	1.77	2	2	6	7	7	7	5	70	102	81.6	B	1
721311	SONG	LOUIS	2	2	2	1	3	1.61	1	1	6	9	6	7	10	64	102	81.6	B	1
703740	SUNYA	DALE	2	5	3	2	3	3.58	1	2	10	9	10	10	7	62	108	86.4	B	1
700978	WEBSTER	DEANNA	1	3	2	1	3	3.9	2	1	8	9	10	10	10	67	114	91.2	A	1
681855	GRISWOLD	TAMMY	1	4	3	2	2	1.5	2	2	5	7	6	5	8	57	88	70.4	C	0
664653	KHAN	JOHN	2	4	3	2	3	1.24	1	1	3	8	8	2	7	59	87	69.6	C	0
623857	CORTEZ	VIKKI	1	3	4	2	3	2.56	1	2	5	7	9	5	6	58	90	72	C	0
616095	SPRINGER	ANNELIES	1	4	2	1	1	3.64	2	1	10	10	10	10	10	72	122	97.6	A	1
615115	VASENIUS	RUSS	2	3	1	1	3	3.77	1	2	6	7	6	8	6	59	92	73.6	C	0
595177	WILLIAMS	OLIMPIA	1	3	3	2	3	1.24	2	1	7	6	10	10	5	53	91	72.8	C	0
594463	CRUZADO	MARITESS	1	4	4	2	2	3.05	1	2	9	8	8	8	8	65	106	84.8	B	1
576141	MISHALANY	LUCY	1	4	2	1	1	3.57	1	2	0	3	5	2	2	42	54	43.2	F	0
576008	BULMERKA	HUSIBA	1	4	4	2	3	3.45	2	1	10	8	8	9	7	68	110	88	B	1
574170	HURRIA	WAYNE	2	1	2	1	2	3.84	2	1	4	5	6	6	6	48	75	60	D	0
554809	JONES	LISA	1	3	4	2	3	3.35	1	1	7	8	9	9	6	69	108	86.4	B	1
553919	KWON	SHELLY	1	2	1	1	1	3.9	2	2	10	10	8	10	8	75	121	96.8	A	1
546022	HAMIDI	KIMBERLY	1	5	3	2	1	2.96	1	1	7	7	7	9	8	61	99	79.2	C	0
519444	RATHBUN	DAWNE	1	4	4	2	2	3.7	2	1	10	9	9	10	8	74	120	96	A	1
515586	FIALLOS	LAUREL	1	4	2	1	2	3.9	1	1	7	8	7	6	6	63	97	77.6	C	0
506467	SCARBROUGH	CYNTHE	1	4	3	2	2	2.45	1	2	8	5	6	4	7	58	88	70.4	C	0
498900	HUANG	JOE	2	5	1	1	3	3.47	2	1	0	5	6	2	5	40	58	46.4	F	0
490016	STEPHEN	LIZA	5	5	3	2	2	2.72	1	2	8	9	7	8	10	60	102	81.6	B	1
479547	LANGFORD	BLAIR	2	3	1	1	1	3.42	2	1	10	10	8	9	10	75	122	97.6	A	1
473303	PARK	SANDRA	1	3	4	2	2	3.17	1	2	8	8	4	10	9	70	109	87.2	B	1
467806	DEVERS	GAIL	1	3	4	2	1	2.34	2	1	7	6	8	7	9	59	96	76.8	C	0
466407	PICKERING	HEIDI	1	3	3	2	3	2.38	1	1	4	7	6	4	7	62	90	72	C	0
463276	HANSEN	TIM	2	4	1	1	1	3.84	2	2	10	10	7	9	10	74	120	96	A	1
447659	GALANVILLE	DANA	4	5	4	2	3	2.77	2	1	6	8	9	5	8	63	99	79.2	C	0
436413	PANG	SUZANNE	1	2	3	2	1	3.66	1	2	8	6	7	8	7	60	96	76.8	C	0
434571	SURI	MATHEW	4	2	4	2	2	2.8	2	1	7	6	5	8	8	60	94	75.2	C	0
420327	BADGER	SUZANNA	3	4	1	1	3	2.61	1	2	10	10	7	10	10	53	100	80	B	1
419891	DE CANIO	PAULA	1	4	4	2	2	3.53	2	1	6	7	7	9	9	54	92	73.6	C	0
417003	EVANGELIST	NIKKI	5	2	1	1	2	2.91	1	2	9	8	6	10	6	66	105	84	B	1
414775	RATANA	JASON	2	2	3	2	1	2.28	1	1	8	9	8	10	9	50	94	75.2	C	0
392464	DOMINGO	MONIKA	1	4	1	1	3	3.02	2	1	10	10	10	9	9	55	103	82.4	B	1
390203	SHIMA	MIHAELA	1	2	3	2	2	2.28	1	1	6	7	7	6	8	61	95	76	C	0
380157	LUTZ	WILLIAM	2	4	1	1	2	3	2	2	10	9	5	10	8	61	103	82.4	B	1
378446	SAUNDERS	TAMARA	3	1	2	1	2	2.8	2	1	4	6	5	4	5	57	81	64.8	D	0
354601	CARPIO	MARY	1	2	2	1	1	3	1	2	10	10	7	10	9	71	117	93.6	A	1
337908	UYEYAMA	VICTORINE	1	1	3	2	2	2.34	2	1	10	8	6	10	7	63	104	83.2	B	1
307894	TORRENCE	GWEN	1	3	2	1	2	2.09	2	2	6	5	6	7	6	62	92	73.6	C	0
302400	JONES	ROBERT	2	3	4	2	3	2.01	1	2	2	5	6	5	6	50	74	59.2	F	0
289652	BRADLEY	SHANNON	1	4	3	2	1	2.46	2	1	6	9	8	9	9	68	109	87.2	B	1
287617	CUMMINGS	DAVENA	1	5	1	1	3	2.21	1	2	9	10	9	9	9	52	98	78.4	C	0
280440	CHANG	RENE	1	2	3	2	2	3.9	1	1	10	8	5	10	8	68	109	87.2	B	1
273611	WU	VIDYUTH	2	2	2	1	2	3.7	2	2	3	6	6	6	6	55	82	65.6	D	0
260983	CUSTER	JAMES	2	4	4	2	1	3.12	1	1	10	9	8	10	7	60	104	83.2	B	1
249586	STOLL	GLENDON	2	4	3	2	2	2.41	2	1	5	9	4	6	10	63	97	77.6	C	0
245473	DAYES	ROBERT	4	4	1	1	1	2.64	1	1	8	9	8	7	10	48	90	72	C	0
237983	LEE	JONATHAN	2	2	4	2	2	2.4	2	2	5	7	4	7	6	63	92	73.6	C	0
219593	POTTER	MICKEY	2	5	1	1	3	2.54	1	1	5	8	8	4	10	61	96	76.8	C	0
211239	AUSTIN	DERRICK	2	4	3	2	3	3.23	1	2	5	5	8	6	4	52	80	64	D	0
192627	MISCHKE	ELAINE	1	4	1	1	2	3.5	2	1	3	8	5	6	8	55	85	68	D	0
175325	KHOURY	DENNIS	2	4	1	1	1	2.35	1	1	8	8	7	10	6	69	108	86.4	B	1
167664	SWARM	MARK	2	4	3	2	3	2.25	2	2	8	10	10	10	9	71	118	94.4	A	1
164842	VALENZUELA	NANCY	1	1	4	2	2	2.32	1	1	7	8	5	7	10	59	96	76.8	C	0
164605	LANGFORD	DAWN	1	3	3	2	2	3.49	2	1	10	10	2	10	10	73	115	92	A	1
157147	BAKKEN	KREG	3	4	4	2	1	2.85	2	2	10	10	10	10	9	74	123	98.4	A	1
154441	LIAN	JENNY	1	5	2	1	1	3.57	1	2	10	9	8	10	10	71	118	94.4	A	1
153964	TOMOSAWA	DANIEL	2	2	1	1	3	1.74	2	1	10	9	9	10	10	63	111	88.8	B	1
142630	RANGIFO	TANIECE	1	4	1	1	3	3.64	1	2	10	10	9	9	9	74	121	96.8	A	1
140219	GUADIZ	VALERIE	5	2	4	2	1	2.84	2	1	7	8	8	8	10	66	107	85.6	B	1
132931	OSBORNE	ANN	1	3	2	1	2	3.56	1	1	7	8	5	7	6	68	101	80.8	B	1
127285	GALVEZ	JACKIE	1	4	4	2	2	2.46	2	2	10	7	7	9	7	57	97	77.6	C	0
108642	VALAZQUEZ	SCOTT	2	4	1	1	2	2.09	2	1	10	10	6	6	9	54	95	76	C	0
106484	VILLARRUZ	ALFRED	2	2	2	1	2	1.08	1	2	6	5	6	6	3	53	79	63.2	D	1

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