Question: You will be adding four new columns to compute: 1 ) an average assignment grade 2 ) an adjusted final exam grade, 3 ) a

You will be adding four new columns to compute: 1) an average assignment grade 2) an adjusted final exam grade, 3) a weighted average course grade and 4) a letter grade. For all four computations, you should enter a formula just once for the first student and then copy the formula to remaining students. This will require that you use relative and absolute cell addressing correctly.
2) Create a new column with the average assignment grade. It should be computed as the average of the highest three assignment grades (e.g. the lowest score is dropped). There is more than one way to accomplish this and you may find it helpful to do a little online research to figure this out. Heres a way to proceed: Begin by calculating an average of the four assignments without using the AVERAGE function and then modify this formula by including a minimum function to subtract the lowest score. Manually verify your computed result.
3) Create a new column with an adjusted final exam score. Five points should be added to a students final exam score if s/he has not missed more than 1 class. You will need to use an IF function. Make sure you also isolate the values for bonus points and maximum number of absences.
4) Isolate the following course component grade weights:
project 15%
four assignments 40%
mid-term exam 20%
final exam 25%
I have found that errors are minimized by creating a new row above student records with weights and corresponding grades aligned by column like this:
The 100% value should be computed as a check to ensure that weights sum to 100%
5) Create a column with the weighted average course grades using the weights given above. Given n graded components, a weighted average is computed as:
grade component 1* weight component 1+
grade component 2* weight component 2+
...
grade component n * weight component n +
Weights must sum to 1. When computing the weighted average, use the adjusted final exam grade and the average of best three assignments. Make sure that you refer to your isolated grade weights.
6) Copy and paste the following letter grade table into your spreadsheet. Create a column with the letter grade.
Numeric to Letter Grade Table
059.9 F
60.062.9 D-
63.066.9 D
67.069.9 D+
70.072.9 C-
73.076.9 C
77.079.9 C+
80.082.9 B-
83.086.9 B
87.089.9 B+
90.094.9 A-
95.0100.0 A
7) You will need to use the weighted average grade to lookup the corresponding letter grade in the above table. Use the VLOOKUP function.
8) For each of the four course components (midterm, project, average of best 3 assignments and adjusted final) and the overall course weighted average, compute the following statistics: average, minimum, median, maximum and population standard deviation (since data is for whole class population). For example, you might display something like:
Average Minimum Median Maximum Std Deviation
Project 84.0049.0085.00100.0012.00
Assignments 92.0025.0096.0097.0016.00
Mid-term 78.000.0079.00100.0021.00
Final 86.0077.0085.0098.006.00
Overall Course 83.0058.0088.0099.008.00
Note your numbers will be different.
9) Make some changes to the course component grade weights (keeping in mind they should add to 100%) and observe the effect on overall course grades. Submit with changed weights so I can see that you did a what-if analysis.
8) Format the spreadsheet so that is easy to read (e.g. use common formats, highlight column headers, etc..)
10) Submit your assignment via Blackboard
11)
Assn1 Assn2 Assn3 Assn4 Mid Term Exam Final Exam Project Absences
Adams, John 727082767268801
Bradley, Mark 9598981009585983
Brown, Stephanie 968298658686760
Donald, Colin 85800957683651
Draper, Thomas 8410091987990893
Fater, William 929598876580970
Falk, Michelle 91981008792891000
Garrity, Karen 82747882079702
Gonzales, Manny 828472889175821
Harrison, Andrew 989594959588851
Hennessey, David 827478807580724
Hewitt, Cameron 959594977286920
Hopkins, Timothy 99100958593100870
Jetson, Barbara 809478866084833
Johnson, Benjamin 927810087100861001
Joyce, Debbie 707270957589820
Kooper, Robert 1009880755787743
Larson, Jeremy 989496988693940
Morse, Kimberly 779496928790930
Norton, Suzanne 918296808178704
Ordinola, Maria 807472806065724
Rodgers, Tray 707565608275650
Shlesinger, Marcus 8994911007486842
Shawmut, Stephen 809582968386881
Sylvia, Rodney 788282857882920
Tam, Steven 979478727680650
Tao, Heather 889290998588855
Wesley, Matthew 788694957888872

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