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OFF Book3 Q AutoSave @@@yo. Insert Draw Page Layout Formulas Home Data >> Tell me Share Comme fx & Autosum v 2 Logical Recently Used A Text Financial Date & Time A > Tell me Logical Share Comments 5+ fx KD BM AutoSum Recently Used RO Insert Function Text Date & Time Financial Defined Names V Formula Auditing Calculation Options 133 x Q fx 1 O 1 2 Date 1/1/19 2/1/19 31/10 4/1/19 5/1/19 6/1/19 2/1/19 2/1/19 9/1/15 30/1/10 11/1/19 12010 Open $13413 $168.00 51050 $185.00 $16625 $149 60 $175.00 $11454 5173.00 5158 01 $179.01 N 2019 Trends for Alibaba, Inc. Nach Low Cas $169,73 $12983 $168.49 $1849) 5163.75 $183 03 $18808 $17157 $182.45 $189.79 517676 518557 $195.72 $147.95 $149.26 517198 514885 $16.45 $179.5 $165.00 $17311 51760 $152.5 $175.03 $18413 $168.15 $1673 SI $1616 $175.67 $200 38 $12.00 $200.00 SARAS 212.10 Ad Close $161.49 518300 $18245 515 57 $149.26 $109.45 5173.11 $1750 $16723 $175.67 5200.00 3:2120 Volume 1000 Monty Gain 361415 22:1665 233413 26067 gain 5117 41 an 35625 104522 246314 2001 Main 40855 2007 Total Volume Months with Potive Trend Vocate Low Minimal Minimal Low Medium Low Low Low 10 11 12 13 14 15 16 17 TE Low Low LOW Months with Volume Average 517314 $161 516219 517853 $1715 Monthly Volume Trade for Alibaba - We 15 20 21 22 23 24 25 26 22 20 20 10 31 32 33 3 25 35 17 500 30000 100000000 20000000 B AROLA AMES 16 mes M ARIES 77 40 41 42 Alibaba, Inc + Ready 5 + 69% Assignment 10: Analyze Data Assignment Goal: This exercise is designed for students to learn how to interpret Excel charts and graphs. Weekly Outcomes: At the completion of this week's assignment, students will demonstrate how to recognize and evaluate overall trends in business using Excel. Weekly Topics/Tasks: Analyze Data Create a Word document and analyze data using at least two sentences per question to describe what your data shows. Use results collected in Excel Exercises 7, 8, and 5, as described in the video. Answer the three questions by analyzing the data. Are the items trending up or down? Are the prices flat or increasing? Compare and contrast current v previous year current year2020 data previous year 2019 data OFF Book3 Q AutoSave @@@yo. Insert Draw Page Layout Formulas Home Data >> Tell me Share Comme fx & Autosum v 2 Logical Recently Used A Text Financial Date & Time A > Tell me Logical Share Comments 5+ fx KD BM AutoSum Recently Used RO Insert Function Text Date & Time Financial Defined Names V Formula Auditing Calculation Options 133 x Q fx 1 O 1 2 Date 1/1/19 2/1/19 31/10 4/1/19 5/1/19 6/1/19 2/1/19 2/1/19 9/1/15 30/1/10 11/1/19 12010 Open $13413 $168.00 51050 $185.00 $16625 $149 60 $175.00 $11454 5173.00 5158 01 $179.01 N 2019 Trends for Alibaba, Inc. Nach Low Cas $169,73 $12983 $168.49 $1849) 5163.75 $183 03 $18808 $17157 $182.45 $189.79 517676 518557 $195.72 $147.95 $149.26 517198 514885 $16.45 $179.5 $165.00 $17311 51760 $152.5 $175.03 $18413 $168.15 $1673 SI $1616 $175.67 $200 38 $12.00 $200.00 SARAS 212.10 Ad Close $161.49 518300 $18245 515 57 $149.26 $109.45 5173.11 $1750 $16723 $175.67 5200.00 3:2120 Volume 1000 Monty Gain 361415 22:1665 233413 26067 gain 5117 41 an 35625 104522 246314 2001 Main 40855 2007 Total Volume Months with Potive Trend Vocate Low Minimal Minimal Low Medium Low Low Low 10 11 12 13 14 15 16 17 TE Low Low LOW Months with Volume Average 517314 $161 516219 517853 $1715 Monthly Volume Trade for Alibaba - We 15 20 21 22 23 24 25 26 22 20 20 10 31 32 33 3 25 35 17 500 30000 100000000 20000000 B AROLA AMES 16 mes M ARIES 77 40 41 42 Alibaba, Inc + Ready 5 + 69% Assignment 10: Analyze Data Assignment Goal: This exercise is designed for students to learn how to interpret Excel charts and graphs. Weekly Outcomes: At the completion of this week's assignment, students will demonstrate how to recognize and evaluate overall trends in business using Excel. Weekly Topics/Tasks: Analyze Data Create a Word document and analyze data using at least two sentences per question to describe what your data shows. Use results collected in Excel Exercises 7, 8, and 5, as described in the video. Answer the three questions by analyzing the data. Are the items trending up or down? Are the prices flat or increasing? Compare and contrast current v previous year current year2020 data previous year 2019 data