SlideShare ist ein Scribd-Unternehmen logo
1 von 8
Downloaden Sie, um offline zu lesen
Working with z-scores




            z by Shamana ©
Professor Adams has 140 students who wrote a statistics test. If the marks are
approximately normally distributed:

   • how many students should have a 'B' mark (i.e., 70 to 79 percent)?
   • how many students should have failed (i.e., less than 50 percent)?
   • how high must she set the mark for an 'A' if she wants 5 percent of the
   students to get an A?
   • how high must she set the passing mark if she wants only the top 75
   percent of the marks to be passing marks?
A group of 60 Applied Math students obtained the following scores on the
final examination last year.
          60    64    59    56    48    39    65    64    63    53
          92    64    69    72    77    51    75    53    76    79
          90    48    39    76    46    27    23    55    65    82
          76    54    72    27    72    48    67    40    85    36
          96    68    72    81    36    55    51    94    69    57
          68    92    39    48    37    63    82    43    72    37
Draw a suitable histogram that has 10 bars.
Working with the Normal Distribution

 Example: The graph at right represents
 the marks of a large number of students
 where the mean mark is 69.3 percent
 and the standard deviation is 7 percent,
 and the distribution of marks is
 approximately normal.




                            62.3% 69.3% 76.3%
Working with the Normal Distribution

 Example: The graph at right represents
 the marks of a large number of students
 where the mean mark is 69.3 percent
 and the standard deviation is 7 percent,
 and the distribution of marks is
 approximately normal.

    We know that if the marks are approximately normally distributed, then approximately:

    • 68 percent of the marks are between 62.3 percent and 76.3 percent (i.e., µ ± 1σ)
    • 34% of the marks are between 69.3 percent and 76.3 percent (i.e., between µ and µ + 1σ)
    • 50% of the marks are below 69.3 percent (i.e., less than µ)
    • 16% of the marks are above 76.3 percent (i.e., greater than µ + 1σ)
RECALL
North American women have a mean height of 161.5 cm and a
standard deviation of 6.3 cm.
(a) A car designer designs car seats to fit women taller than 159.0 cm.
What is the z-score of a woman who is 159.0 cm tall?




(b) The manufacturer designs the seats to fit women with a maximum
z-score of 2.8. How tall is a woman with a z-score of 2.8?
ShadeNorm(Lo z, Hi z)                           DICTIONARY
[shades area under std. normal curve]



                       σ


     ShadeNorm(Lo value, Hi value, mean, std. dev.)
     [shades area under modified normal curve]
                                         µ-5σ
                        σ


                                        µ+5σ
Case 1(a): Calculate the Percentage of Scores Between Two Given Scores
   The mean mark for a large number of students is 69.3 percent with a
   standard deviation of 7 percent. What percent of the students have a 'B'
   mark (i.e., 70 percent to 79 percent)? Assume that the marks are
   normally distributed.

Weitere ähnliche Inhalte

Ähnlich wie Applied Math 40S March 20, 2008

The standard normal curve & its application in biomedical sciences
The standard normal curve & its application in biomedical sciencesThe standard normal curve & its application in biomedical sciences
The standard normal curve & its application in biomedical sciencesAbhi Manu
 
Normal distribution assignment
Normal distribution assignmentNormal distribution assignment
Normal distribution assignmentmonster2010
 
Normal distribution
Normal distributionNormal distribution
Normal distributionCamilleJoy3
 
Normal distribution
Normal distributionNormal distribution
Normal distributionGlobal Polis
 
Z scores lecture chapter 2 and 4
Z scores lecture chapter 2 and 4Z scores lecture chapter 2 and 4
Z scores lecture chapter 2 and 4Karen Price
 
Part 1 Please circle the correct answer.1. Which of t.docx
Part 1 Please circle the correct answer.1. Which of t.docxPart 1 Please circle the correct answer.1. Which of t.docx
Part 1 Please circle the correct answer.1. Which of t.docxherbertwilson5999
 
101_sampling__population_Sept_2020.ppt
101_sampling__population_Sept_2020.ppt101_sampling__population_Sept_2020.ppt
101_sampling__population_Sept_2020.pptAndrei33323
 
Introduction to Bell Shaped Curve
Introduction to Bell Shaped CurveIntroduction to Bell Shaped Curve
Introduction to Bell Shaped CurveMariz Ombajin
 
8. Assume the speed of vehicles along a stretch of I-10 has an app.docx
8. Assume the speed of vehicles along a stretch of I-10 has an app.docx8. Assume the speed of vehicles along a stretch of I-10 has an app.docx
8. Assume the speed of vehicles along a stretch of I-10 has an app.docxJospehStull43
 
lecture13MWF.pdflecture13MWF.pdflecture13MWF.pdf
lecture13MWF.pdflecture13MWF.pdflecture13MWF.pdflecture13MWF.pdflecture13MWF.pdflecture13MWF.pdf
lecture13MWF.pdflecture13MWF.pdflecture13MWF.pdfEmersonRosal1
 
Z Score Brief Overview.pptx
Z Score Brief Overview.pptxZ Score Brief Overview.pptx
Z Score Brief Overview.pptxCHIRANTANMONDAL2
 

Ähnlich wie Applied Math 40S March 20, 2008 (20)

Applied 40S April 7, 2009
Applied 40S April 7, 2009Applied 40S April 7, 2009
Applied 40S April 7, 2009
 
The standard normal curve & its application in biomedical sciences
The standard normal curve & its application in biomedical sciencesThe standard normal curve & its application in biomedical sciences
The standard normal curve & its application in biomedical sciences
 
Normal distribution assignment
Normal distribution assignmentNormal distribution assignment
Normal distribution assignment
 
Normal distribution
Normal distributionNormal distribution
Normal distribution
 
Chapter3bps
Chapter3bpsChapter3bps
Chapter3bps
 
Chapter3bps
Chapter3bpsChapter3bps
Chapter3bps
 
Normal distribution
Normal distributionNormal distribution
Normal distribution
 
Chapters 2 4
Chapters 2  4Chapters 2  4
Chapters 2 4
 
Chapters 2 & 4
Chapters 2 & 4Chapters 2 & 4
Chapters 2 & 4
 
Chapters 2 & 4
Chapters 2 & 4Chapters 2 & 4
Chapters 2 & 4
 
Section 1-5
Section 1-5Section 1-5
Section 1-5
 
Z scores lecture chapter 2 and 4
Z scores lecture chapter 2 and 4Z scores lecture chapter 2 and 4
Z scores lecture chapter 2 and 4
 
Part 1 Please circle the correct answer.1. Which of t.docx
Part 1 Please circle the correct answer.1. Which of t.docxPart 1 Please circle the correct answer.1. Which of t.docx
Part 1 Please circle the correct answer.1. Which of t.docx
 
101_sampling__population_Sept_2020.ppt
101_sampling__population_Sept_2020.ppt101_sampling__population_Sept_2020.ppt
101_sampling__population_Sept_2020.ppt
 
Week 7 Lecture
Week 7 LectureWeek 7 Lecture
Week 7 Lecture
 
Introduction to Bell Shaped Curve
Introduction to Bell Shaped CurveIntroduction to Bell Shaped Curve
Introduction to Bell Shaped Curve
 
8. Assume the speed of vehicles along a stretch of I-10 has an app.docx
8. Assume the speed of vehicles along a stretch of I-10 has an app.docx8. Assume the speed of vehicles along a stretch of I-10 has an app.docx
8. Assume the speed of vehicles along a stretch of I-10 has an app.docx
 
Measures of relationship
Measures of relationshipMeasures of relationship
Measures of relationship
 
lecture13MWF.pdflecture13MWF.pdflecture13MWF.pdf
lecture13MWF.pdflecture13MWF.pdflecture13MWF.pdflecture13MWF.pdflecture13MWF.pdflecture13MWF.pdf
lecture13MWF.pdflecture13MWF.pdflecture13MWF.pdf
 
Z Score Brief Overview.pptx
Z Score Brief Overview.pptxZ Score Brief Overview.pptx
Z Score Brief Overview.pptx
 

Mehr von Darren Kuropatwa

Providing Permission To Wonder v2.1
Providing Permission To Wonder v2.1Providing Permission To Wonder v2.1
Providing Permission To Wonder v2.1Darren Kuropatwa
 
Things That Suck About Digital Citizenship v1
Things That Suck About Digital Citizenship v1Things That Suck About Digital Citizenship v1
Things That Suck About Digital Citizenship v1Darren Kuropatwa
 
Digital Storytelling for Deeper Learning v1
Digital Storytelling for Deeper Learning v1Digital Storytelling for Deeper Learning v1
Digital Storytelling for Deeper Learning v1Darren Kuropatwa
 
Tales of Learning and the Gifts of Footprints v4.2
Tales of Learning and the Gifts of Footprints v4.2Tales of Learning and the Gifts of Footprints v4.2
Tales of Learning and the Gifts of Footprints v4.2Darren Kuropatwa
 
Making Student Thinking Visible v4
 Making Student Thinking Visible v4 Making Student Thinking Visible v4
Making Student Thinking Visible v4Darren Kuropatwa
 
Leveraging Digital for Deeper Learning
Leveraging Digital for Deeper LearningLeveraging Digital for Deeper Learning
Leveraging Digital for Deeper LearningDarren Kuropatwa
 
We Learn Through Stories at PRIZMAH17
We Learn Through Stories at PRIZMAH17We Learn Through Stories at PRIZMAH17
We Learn Through Stories at PRIZMAH17Darren Kuropatwa
 
Providing Permission to Wonder v3
Providing Permission to Wonder v3Providing Permission to Wonder v3
Providing Permission to Wonder v3Darren Kuropatwa
 
Making Student Thinking Visible v3.7
 Making Student Thinking Visible v3.7 Making Student Thinking Visible v3.7
Making Student Thinking Visible v3.7Darren Kuropatwa
 
Providing Permission to Wonder v2
Providing Permission to Wonder v2Providing Permission to Wonder v2
Providing Permission to Wonder v2Darren Kuropatwa
 
We Learn Through Stories v4 (master class)
We Learn Through Stories v4 (master class)We Learn Through Stories v4 (master class)
We Learn Through Stories v4 (master class)Darren Kuropatwa
 
Deep Learning Design: the middle ring
Deep Learning Design: the middle ringDeep Learning Design: the middle ring
Deep Learning Design: the middle ringDarren Kuropatwa
 

Mehr von Darren Kuropatwa (20)

Behind Their Eyes v1
Behind Their Eyes v1Behind Their Eyes v1
Behind Their Eyes v1
 
Leading Change v1
Leading Change v1Leading Change v1
Leading Change v1
 
Providing Permission To Wonder v2.1
Providing Permission To Wonder v2.1Providing Permission To Wonder v2.1
Providing Permission To Wonder v2.1
 
Things That Suck About Digital Citizenship v1
Things That Suck About Digital Citizenship v1Things That Suck About Digital Citizenship v1
Things That Suck About Digital Citizenship v1
 
Digital Storytelling for Deeper Learning v1
Digital Storytelling for Deeper Learning v1Digital Storytelling for Deeper Learning v1
Digital Storytelling for Deeper Learning v1
 
Tales of Learning and the Gifts of Footprints v4.2
Tales of Learning and the Gifts of Footprints v4.2Tales of Learning and the Gifts of Footprints v4.2
Tales of Learning and the Gifts of Footprints v4.2
 
The Fourth Screen v4.2
The Fourth Screen v4.2The Fourth Screen v4.2
The Fourth Screen v4.2
 
Making Student Thinking Visible v4
 Making Student Thinking Visible v4 Making Student Thinking Visible v4
Making Student Thinking Visible v4
 
Learning is at BYTE 2017
Learning is at BYTE 2017Learning is at BYTE 2017
Learning is at BYTE 2017
 
Leveraging Digital for Deeper Learning
Leveraging Digital for Deeper LearningLeveraging Digital for Deeper Learning
Leveraging Digital for Deeper Learning
 
We Learn Through Stories at PRIZMAH17
We Learn Through Stories at PRIZMAH17We Learn Through Stories at PRIZMAH17
We Learn Through Stories at PRIZMAH17
 
Providing Permission to Wonder v3
Providing Permission to Wonder v3Providing Permission to Wonder v3
Providing Permission to Wonder v3
 
The Fourth Screen v4.1
The Fourth Screen v4.1The Fourth Screen v4.1
The Fourth Screen v4.1
 
Making Student Thinking Visible v3.7
 Making Student Thinking Visible v3.7 Making Student Thinking Visible v3.7
Making Student Thinking Visible v3.7
 
Learning is at AUHSD
Learning is at AUHSDLearning is at AUHSD
Learning is at AUHSD
 
Providing Permission to Wonder v2
Providing Permission to Wonder v2Providing Permission to Wonder v2
Providing Permission to Wonder v2
 
The Fourth Screen v4
The Fourth Screen v4The Fourth Screen v4
The Fourth Screen v4
 
Learning is at BLC16
Learning is at BLC16Learning is at BLC16
Learning is at BLC16
 
We Learn Through Stories v4 (master class)
We Learn Through Stories v4 (master class)We Learn Through Stories v4 (master class)
We Learn Through Stories v4 (master class)
 
Deep Learning Design: the middle ring
Deep Learning Design: the middle ringDeep Learning Design: the middle ring
Deep Learning Design: the middle ring
 

Kürzlich hochgeladen

Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designMIPLM
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxiammrhaywood
 
Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Jisc
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)lakshayb543
 
ACC 2024 Chronicles. Cardiology. Exam.pdf
ACC 2024 Chronicles. Cardiology. Exam.pdfACC 2024 Chronicles. Cardiology. Exam.pdf
ACC 2024 Chronicles. Cardiology. Exam.pdfSpandanaRallapalli
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxAnupkumar Sharma
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Celine George
 
ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4MiaBumagat1
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatYousafMalik24
 
Q4 English4 Week3 PPT Melcnmg-based.pptx
Q4 English4 Week3 PPT Melcnmg-based.pptxQ4 English4 Week3 PPT Melcnmg-based.pptx
Q4 English4 Week3 PPT Melcnmg-based.pptxnelietumpap1
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...Nguyen Thanh Tu Collection
 
Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Celine George
 
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...Postal Advocate Inc.
 
ENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choomENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choomnelietumpap1
 
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfLike-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfMr Bounab Samir
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTiammrhaywood
 
Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceSamikshaHamane
 

Kürzlich hochgeladen (20)

Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-design
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
 
Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
 
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
 
ACC 2024 Chronicles. Cardiology. Exam.pdf
ACC 2024 Chronicles. Cardiology. Exam.pdfACC 2024 Chronicles. Cardiology. Exam.pdf
ACC 2024 Chronicles. Cardiology. Exam.pdf
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17
 
ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice great
 
Q4 English4 Week3 PPT Melcnmg-based.pptx
Q4 English4 Week3 PPT Melcnmg-based.pptxQ4 English4 Week3 PPT Melcnmg-based.pptx
Q4 English4 Week3 PPT Melcnmg-based.pptx
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
 
Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17
 
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
 
ENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choomENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choom
 
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfLike-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
 
Raw materials used in Herbal Cosmetics.pptx
Raw materials used in Herbal Cosmetics.pptxRaw materials used in Herbal Cosmetics.pptx
Raw materials used in Herbal Cosmetics.pptx
 
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptxYOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
 
Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in Pharmacovigilance
 

Applied Math 40S March 20, 2008

  • 1. Working with z-scores z by Shamana ©
  • 2. Professor Adams has 140 students who wrote a statistics test. If the marks are approximately normally distributed: • how many students should have a 'B' mark (i.e., 70 to 79 percent)? • how many students should have failed (i.e., less than 50 percent)? • how high must she set the mark for an 'A' if she wants 5 percent of the students to get an A? • how high must she set the passing mark if she wants only the top 75 percent of the marks to be passing marks?
  • 3. A group of 60 Applied Math students obtained the following scores on the final examination last year. 60 64 59 56 48 39 65 64 63 53 92 64 69 72 77 51 75 53 76 79 90 48 39 76 46 27 23 55 65 82 76 54 72 27 72 48 67 40 85 36 96 68 72 81 36 55 51 94 69 57 68 92 39 48 37 63 82 43 72 37 Draw a suitable histogram that has 10 bars.
  • 4. Working with the Normal Distribution Example: The graph at right represents the marks of a large number of students where the mean mark is 69.3 percent and the standard deviation is 7 percent, and the distribution of marks is approximately normal. 62.3% 69.3% 76.3%
  • 5. Working with the Normal Distribution Example: The graph at right represents the marks of a large number of students where the mean mark is 69.3 percent and the standard deviation is 7 percent, and the distribution of marks is approximately normal. We know that if the marks are approximately normally distributed, then approximately: • 68 percent of the marks are between 62.3 percent and 76.3 percent (i.e., µ ± 1σ) • 34% of the marks are between 69.3 percent and 76.3 percent (i.e., between µ and µ + 1σ) • 50% of the marks are below 69.3 percent (i.e., less than µ) • 16% of the marks are above 76.3 percent (i.e., greater than µ + 1σ)
  • 6. RECALL North American women have a mean height of 161.5 cm and a standard deviation of 6.3 cm. (a) A car designer designs car seats to fit women taller than 159.0 cm. What is the z-score of a woman who is 159.0 cm tall? (b) The manufacturer designs the seats to fit women with a maximum z-score of 2.8. How tall is a woman with a z-score of 2.8?
  • 7. ShadeNorm(Lo z, Hi z) DICTIONARY [shades area under std. normal curve] σ ShadeNorm(Lo value, Hi value, mean, std. dev.) [shades area under modified normal curve] µ-5σ σ µ+5σ
  • 8. Case 1(a): Calculate the Percentage of Scores Between Two Given Scores The mean mark for a large number of students is 69.3 percent with a standard deviation of 7 percent. What percent of the students have a 'B' mark (i.e., 70 percent to 79 percent)? Assume that the marks are normally distributed.