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Alomran_EX16XLCH07GRADERML1HW_-_University_Admissions_Office_13.zip

EX16XLCH07GRADERML1HW_-_University_Admissions_Office_13_Instructions.docx

Office 2016 – myitlab:grader – Instructions Excel Project

EX16_XL_CH07_GRADER_ML1_HW - University Admissions Office 1.3

Project Description: You work in the Admissions Office for West Coast University, a mid-sized regional university in California. Your assistant entered a list of college applicants for the Fall 2018 semester. You determine if a student qualifies for early admission or early rejection based on SAT and GPA. After determining the immediate admissions and rejections, you calculate a total score based on SAT and GPA to determine regular admissions and rejections.

Instructions: For the purpose of grading the project you are required to perform the following tasks: Step Instructions Points Possible 1 Open exploring_e07_grader_h2_Admissions.xlsx and save it as exploring_e07_grader_h2_Admissions_LastFirst. 0.000 2 In cell E14, enter a date function that calculates the number of days between the Initial Deadline (cell E10) and the Date Received for the first student (D14). Use mixed and relative references appropriately. Copy the function to the range E15:E68. A negative value indicates the application was received after the initial deadline. 5.000 3 In cell H14, enter a nested logical function to display either Yes or No in the Admit Early column. The university admits a student early if that student meets both the Early Admission criteria for the SAT (cell B6) and GPA (cell B7). That is, the student’s SAT score must be 2000 or higher, and the GPA must be 3.80 or higher. Use relative and mixed references to the cells in the Admission Criteria range. Based on the requirements, the first student, Frank Aaron, will not be admitted early. 10.000 4 In cell I14, enter a nested logical function to display either Yes or No in the Reject Early column. The university rejects a student early if that student has either an SAT score less than 1000 (cell C6) or a GPA below 1.80 (cell C7). Use relative and mixed references to the cells in the Admission Criteria range. 10.000 5 In cell J14, enter a formula to calculate an applicant’s admission score. Apply the multiplier (found in the Miscellaneous Standards & Filter range) to the student’s GPA and add that score to the SAT. Frank Aaron’s score is 3496. 10.000 6 In cell K14, enter nested IF functions inside a main IF function. The final decision text should be one of the following: Early Admission, Early Rejection, Admit, or Reject. Hint: Two logical tests are based on the Yes/No displayed in the Admit Early and Reject Early columns. For regular admission, a student must have a combined admission score that is 2900 or higher. A student is rejected if his or her score is lower than the threshold. Use a mixed reference to the cell in the Miscellaneous Standards & Filter range. 10.000 7 Copy the formulas down the Admit Early, Reject Early, Score, and Final Decision columns. To paste the formulas, click Paste on the Home tab and click Formulas to copy just the formulas. If you use a regular Paste option, the double borders will copy also. 6.000 8 In cell H6, enter a database function to count the total number of early admissions with >=2900 threshold scores. Use the range L5:M6 for the criteria range and J13 for the field. 5.000 9 In cell I6, enter a database function to calculate the average SAT score for early admissions with the >= threshold. Use the range L5:M6 for the criteria range. 5.000 10 In cell J6, enter a database function to calculate the average GPA for early admissions with >= threshold score. Use the range L5:M6 for the criteria range. 5.000 11 In cell H7, enter a database function to count the total number of in-state early admissions. Use the range L9:M10 for the criteria range and C13 for the field. 5.000 12 In cell I7, enter a database function to calculate the average SAT for early in-state admissions. Use the range L9:M10 for the criteria range. 5.000 13 In cell J7, enter a database function to calculate the average GPA for all in-state early admissions. Use the range L9:M10 for the criteria range. 5.000 14 In cell H9, enter a database function to calculate the highest score for all in-state early admissions. Use the range L9:M10 for the criteria range. 5.000 15 In cell H10, enter an INDEX function with a nested MATCH function to identify the last name of the person who had the highest overall score for in-state early admission. The function should display Brasington. 10.000 16 Create a footer with your name on the left side, Page 1 of ? codes in the middle, and the file name code on the right side. 4.000 17 Save and close the workbook, and submit the file as directed. 0.000 Total Points 100.000

Updated: 09/12/2017 1 Current_Instruction.docx

Alomran_exploring_e07_grader_h2_Admissions.xlsx

Applicants

West Coast University Admissions Office
Applications for Fall 2018 Admission
Admission Criteria Summary Data Criteria Range 1
Standard Early Admit Early Reject Description Counts Average SAT Average GPA Score Final Decision
SAT 2000 1000 >= 2900 and Early Admissions >=2900 Early Admission
GPA 3.80 1.80 In State Early Admissions
Criteria Range 2
Miscellaneous Standards & Filter Initial Deadline Highest In-State Score Residence Final Decision
Threshold Score 2900 3/1/18 Person w/ Highest In-State Score In State Early Admission
Multiplier 600
Last First Residence Date Received Days Before Deadline SAT GPA Admit Early Reject Early Score Final Decision
Aaron Frank In State 2/14/18 1306 3.65
Abrell Sharon Out State 12/29/17 2350 3.00
Adili Diane In State 3/14/18 1000 2.29
Alevy Julie Out State 11/15/17 2300 4.00
Algeo George In State 2/15/18 750 2.60
Altman Samuel Out State 3/1/18 1150 2.29
Ancona Jacqueline Out State 2/28/18 1200 3.35
Anderson Leigh In State 1/15/18 1000 2.84
Andrade Ellen Out State 12/15/17 1134 2.25
Applegate Jennifer In State 12/14/17 2000 3.83
Armstrong Elizabeth In State 2/14/18 2200 3.50
Arnold Monica Out State 2/1/18 1000 2.35
Augustine Bill Out State 12/1/17 1200 2.93
Austin Alissa Out State 11/30/17 1100 4.00
Axelrod Brian In State 2/24/18 2001 3.85
Bagley Ken Out State 2/2/18 998 3.08
Bak Read Out State 1/15/18 1574 3.18
Balmer Hannah In State 11/25/17 1351 3.38
Barker Shelly Out State 12/15/17 950 2.87
Barnard Jim In State 3/2/18 1125 3.14
Barnes Eric In State 2/15/18 950 2.10
Barr Ann In State 3/1/18 1675 3.80
Barrera Wendy In State 2/28/18 1600 3.55
Bartel Edward Out State 1/15/18 1500 3.21
Basile Jodi In State 12/1/17 975 2.67
Bath LeDawn In State 11/30/17 945 2.22
Behrendt Mary Out State 2/24/18 1685 3.73
Bell Carmen Out State 2/2/18 900 3.24
Bergman Cara In State 11/25/17 1225 3.38
Berlin Dennis Out State 12/15/17 1098 2.45
Berman Michael Out State 1/14/18 1795 3.65
Bermudez Jennifer Out State 3/4/18 1374 4.00
Bersagel Amy In State 11/15/17 884 3.60
Beville David Out State 2/15/18 1800 3.10
Beville Amy In State 3/1/18 1597 3.57
Billingslea McClendon In State 2/28/18 945 2.99
Blackburn Karen In State 1/15/18 2000 3.40
Blasco-Paul Kristine Out State 2/1/18 1100 2.71
Block Dainey In State 12/1/17 983 3.16
Blum Maat In State 11/30/17 1016 3.34
Borden Delia In State 2/24/18 931 3.02
Bove Shawna Out State 2/2/18 800 2.98
Brasington Diane In State 1/15/18 2124 3.98
Bratcher Nugent Out State 11/25/17 1994 3.74
Braun John In State 12/15/17 1750 3.75
Bredbenner Catherine Out State 2/1/18 899 3.48
Brice Gwyn Out State 2/1/18 1580 3.84
Bronson Aleksandra In State 1/15/18 1132 3.55
Bruce Frank In State 12/1/17 1206 3.51
Bruner Robert In State 11/30/17 1552 2.16
Buchanan Ronald Out State 2/24/18 1045 2.95
Buckley Derek Out State 2/2/18 1376 2.06
Burgmeier Devorah Out State 11/25/17 1200 2.13
Burgmeier David In State 12/15/17 1884 3.79
Burrows Mark In State 1/14/18 1574 3.68