Suche senden
Hochladen
Investigation Skills
•
Als PPT, PDF herunterladen
•
0 gefällt mir
•
958 views
Mahmoud
Folgen
Melden
Teilen
Melden
Teilen
1 von 38
Jetzt herunterladen
Empfohlen
Measurement uncertainty is the significant part of organizations’ decision making and risk assessment process because all type of organizations base their decisions on reports enclosing measurable data. A measurement result of a laboratory is an estimate of the value of the measure, and quality of this estimate depends on the inevitable uncertainty. Giving quantitative indication of the quality of the measurement result is obligatory so that those who use it can assess its reliability. Without such an indication, measurement results cannot be compared, either among themselves or with reference values given in a specification or standard. Main points covered: • Measurement uncertainty vs. measurement error • Bottom- up approach for estimating uncertainty • Top- down approach for estimating uncertainty Presenter: This webinar was presented by Bahar Hosseinzadeh, PECB Certified Trainer and Sales Manager, ISO/IEC 17025 Consultancy Project Manager at PQP Ltd. Link of the recorded session published on YouTube: https://youtu.be/kR47GnhNjPw
Different Approaches in Estimating Measurement Uncertainty
Different Approaches in Estimating Measurement Uncertainty
PECB
gen physics 1 for shs
The uncertainty of measurements
The uncertainty of measurements
erwin marlon sario
Measurement Uncertainty Presentation
Measurement Uncertainty
Measurement Uncertainty
DenizErtekin2
C9 1 Negotiation Skills
C9 1 Negotiation Skills
Mahmoud
Accident Investigation
Accident Investigation
Mahmoud
Operatingsystemwars 100209023952 Phpapp01
Operatingsystemwars 100209023952 Phpapp01
Mahmoud
08 Table Views
08 Table Views
Mahmoud
AQA, ISA Investigation skills assessment definitions.
Investigation skills assessment
Investigation skills assessment
dhmcmillan
Empfohlen
Measurement uncertainty is the significant part of organizations’ decision making and risk assessment process because all type of organizations base their decisions on reports enclosing measurable data. A measurement result of a laboratory is an estimate of the value of the measure, and quality of this estimate depends on the inevitable uncertainty. Giving quantitative indication of the quality of the measurement result is obligatory so that those who use it can assess its reliability. Without such an indication, measurement results cannot be compared, either among themselves or with reference values given in a specification or standard. Main points covered: • Measurement uncertainty vs. measurement error • Bottom- up approach for estimating uncertainty • Top- down approach for estimating uncertainty Presenter: This webinar was presented by Bahar Hosseinzadeh, PECB Certified Trainer and Sales Manager, ISO/IEC 17025 Consultancy Project Manager at PQP Ltd. Link of the recorded session published on YouTube: https://youtu.be/kR47GnhNjPw
Different Approaches in Estimating Measurement Uncertainty
Different Approaches in Estimating Measurement Uncertainty
PECB
gen physics 1 for shs
The uncertainty of measurements
The uncertainty of measurements
erwin marlon sario
Measurement Uncertainty Presentation
Measurement Uncertainty
Measurement Uncertainty
DenizErtekin2
C9 1 Negotiation Skills
C9 1 Negotiation Skills
Mahmoud
Accident Investigation
Accident Investigation
Mahmoud
Operatingsystemwars 100209023952 Phpapp01
Operatingsystemwars 100209023952 Phpapp01
Mahmoud
08 Table Views
08 Table Views
Mahmoud
AQA, ISA Investigation skills assessment definitions.
Investigation skills assessment
Investigation skills assessment
dhmcmillan
gdfg
Metrology.ppt
Metrology.ppt
Mohammadumar468417
Experiment basics
Experiment basics
Experiment basics
ROBERTOENRIQUEGARCAA1
Slides from my presentation at Grace Hopper Conference 2020 on test recommendation using machine learning.
Test Recommendation using Machine Learning - GHC 2020
Test Recommendation using Machine Learning - GHC 2020
sadiya hameed
A presentation I did on TUG \'06
R&R Analysis Using SEDana
R&R Analysis Using SEDana
amegens
multiple regression technique
Chapter 4 - multiple regression
Chapter 4 - multiple regression
Tauseef khan
DD
Quantitative_analysis.ppt
Quantitative_analysis.ppt
mousaderhem1
Quantitative Methods/Choosing a Sample.pptx Choosing a Sample Leedy, P., and Ormrod, J., Practical Research. (8th ed.) Fink, A. 1995. From the Survey Toolkit published by Sage. Choosing a Sample to Survey Population – the group to be covered by your research plan Sample – a subset of your population Generalize results – only if the sample is representative of the population Probability sampling Non-probability sampling 2 Probability sampling – Random Sampling Each member of the population has an equal chance of being selected. 3 Probability sampling – Stratified Random Sampling Take equal samples from each group (layers, strata). 4 Probability sampling – Proportional Stratified Sampling Take equal proportions of samples from each group (layers, strata). 5 Probability sampling – Cluster Sampling Take equal proportions of samples from certain regions only. 6 Non-probability Sampling – Convenience Sampling No attempt to have a representative sample Examples: Survey people in your neighborhood. Customer satisfaction cards in a restaurant. Survey all companies who have had projects done by NWMOC. Survey all Human Resources Managers at Stout Career Fair. 7 Sample size? Entire population, if N<100 20-50% of population, if 100 < N < 2000 About 400, if N > 2000 Affects the time and cost of the study, the precision of statistical results Be sure to consider the response rate 8 Sampling Bias Bias – an influence, condition, or set of conditions which distort the data Sampling bias – is the sample random? Examples: Political polls by phone interview A mail survey of alumni satisfaction, with 30% response rate 9 10 Dilbert Click to edit Master text styles Second level Third level Fourth level Fifth level Quantitative Methods/Confidence Intervals.pptx Confidence Intervals Some adapted from http://stattrek.com/estimation/confidence-interval.aspx and http://www.stat.yale.edu/Courses/1997-98/101/confint.htm 1 Confidence Interval Statisticians use a confidence interval to describe the amount of uncertainty associated with a sample estimate of a population parameter. It gives an estimated range of values which is likely to include an unknown population parameter, the estimated range is calculated from a set of sample data. Confidence Interval Gives the probability that the interval produced by the sample method includes the true value of the parameter You must assume a normal distribution Confidence Interval Selection Common choices for the confidence level are 0.90, 0.95, and 0.99. These levels correspond to percentages of the area of the normal density curve. For example, a 95% confidence interval covers 95% of the normal curve -- Normal Distribution Confidence Intervals Supp ...
Quantitative MethodsChoosing a Sample.pptxChoosing a Samp.docx
Quantitative MethodsChoosing a Sample.pptxChoosing a Samp.docx
amrit47
introduction categories of measurements In Biomedical Engineering and Factors in Making Measurement To any question Email me : yazeedotpp@gmail.com Yazeed M. Alotaibi
Biomedical categories of measurements
Biomedical categories of measurements
يزيد العتيبي
Spss for research
Spss software
Spss software
ManonmaniA3
variables cont
variables cont
variables cont
ROBERTOENRIQUEGARCAA1
Measurement and Types of Scale for Data
Measurement and scaling
Measurement and scaling
Balaji P
Significance of laboratory balance: visit: https://scienceequip.com.au
The significance of laboratory balance
The significance of laboratory balance
Science Equip
Hello everyone, this is Vartika Verma, student of B. El. Ed 4. This presentation titled 'Reliability' is helpful for the subject 'Measurement and Evaluation' in B. El. Ed 4 and also for all the Education students. Thanking you :)
Reliability by Vartika Verma .pdf
Reliability by Vartika Verma .pdf
Vartika Verma
Are you looking for Business Analytics training courses in Bangalore? then consult Beamsync. Beamsync is providing business analytics training in Bengaluru / Bangalore with experience trainers. For schedules visit: http://beamsync.com/business-analytics-training-bangalore/
Introduction to Business Analytics Course Part 10
Introduction to Business Analytics Course Part 10
Beamsync
A measurement systems analysis (MSA) is a thorough assessment of a measurement process, and typically includes a specially designed experiment that seeks to identify the components of variation in that measurement process. If there are errors in our measurement system we will be making decisions based on incorrect data. We could be making incorrect decisions or producing non-conforming parts. A properly planned and executed Measurement System Analysis (MSA) can help build a strong foundation for any data based decision making process. A measurement systems analysis considers the following: Selecting the correct measurement and approach Assessing the measuring device Assessing procedures and operators Assessing any measurement interactions Calculating the measurement uncertainty of individual measurement devices and/or measurement systems Common tools and techniques of measurement systems analysis include :- Calibration , Gage R&R , ATA /RTR , ANOVA , Calibration Requirement Alignment ATA –Audit the Auditor (RTR – Review the Reviewer) – name itself defines the check process for the auditor 1. QL(Quality Lead) to Re Audit the transaction audited by Quality Specialist Within 48 hrs of monitoring. 2. QL to track & publish variance report 3. Both Overall & Parameter Wise Variance is calculated 4. Any Variance >5% ( as defined in process ) should be documented & Should Reaudit another call within 72 Hrs 5. This should be weekly activity by TL's & below is the tracker Gage repeatability and reproducibility (GR&R) is defined as the process used to evaluate a gauging instrument’s accuracy by ensuring its measurements are repeatable and reproducible. The process includes taking a series of measurements to certify that the output is the same value as the input, and that the same measurements are obtained under the same operating conditions over a set duration. Standard GR&R Expanded GR&R Actual Process VariationMeasurement Variation Accuracy and Precision Accuracy: Precision: Linearity: Stability: Gage R & R for Continuous Data X Bar R Method Typically used in automobile industry Extreme values affect the method Short & Long Method Short Method does not measure operator and equipment variability separately Long method measures operator and equipment variability separately ANOVA Method Measures operator & equipment variability separately as well as combined effect of operator & parts More effective when extreme value are present Most tedious to perform manual calculations Analyzing Gage R&R Results R&R less than 10%–Measurement System “acceptable R&R 10% to 30%–May be acceptable–make decision based on classification of Characteristic , Application, Customer Input, etc. R&R over 30%–Not acceptable. Find problem, re-visit the Fishbone Diagram, remove Root Causes Bias Stability Linearity Repeatability The average of multiple measurements of an event are equal to the true value There is little variation in repeated measurements of the same
Quality Journey- Measurement System Analysis .pdf
Quality Journey- Measurement System Analysis .pdf
NileshJajoo2
analysis
Statistical analysis & errors (lecture 3)
Statistical analysis & errors (lecture 3)
Farhad Ashraf
David Passmore, Workforce Education & Development, Penn State
WF ED 540, Class Meeting 5, Fall Semester 2017
WF ED 540, Class Meeting 5, Fall Semester 2017
Penn State University
In depth overview of scientific method and experimental design. Begins with key goals, vocabulary and the big picture of the basic process. The program breaks down the scientific process using tulips as examples. Covers the entire process including scientific question and hypothesis formation, control and experimental trials, variables and controlling variables. In addition, discusses types of error, reliability and validity. Shows example conclusion as well as gives examples for Validity and Reliability. Designed for initial teaching by elementary and middle school teachers as well as a self paced review for Grades 6-12 and ELL students. Version 4.3 includes the companion volume on page 2, the Science and the Scientific Process reference guide (pdf). One must download the presentation to view this detailed document.
Experimental design version 4.3
Experimental design version 4.3
jschmied
RELIABILITY AND VALIDITY introduction reliability types of reliability validity types of validity relationship between validity and reliability
RELIABILITY AND VALIDITY
RELIABILITY AND VALIDITY
Joydeep Singh
Types of variables in statistics
Types of variables in statistics
Types of variables in statistics
Zakaria Hossain
مهارات التفكير الإبتكاري كيف تكون مبدعا؟
مهارات التفكير الإبتكاري كيف تكون مبدعا؟
Mahmoud
كيف تقوى ذاكرتك
كيف تقوى ذاكرتك
Mahmoud
Weitere ähnliche Inhalte
Ähnlich wie Investigation Skills
gdfg
Metrology.ppt
Metrology.ppt
Mohammadumar468417
Experiment basics
Experiment basics
Experiment basics
ROBERTOENRIQUEGARCAA1
Slides from my presentation at Grace Hopper Conference 2020 on test recommendation using machine learning.
Test Recommendation using Machine Learning - GHC 2020
Test Recommendation using Machine Learning - GHC 2020
sadiya hameed
A presentation I did on TUG \'06
R&R Analysis Using SEDana
R&R Analysis Using SEDana
amegens
multiple regression technique
Chapter 4 - multiple regression
Chapter 4 - multiple regression
Tauseef khan
DD
Quantitative_analysis.ppt
Quantitative_analysis.ppt
mousaderhem1
Quantitative Methods/Choosing a Sample.pptx Choosing a Sample Leedy, P., and Ormrod, J., Practical Research. (8th ed.) Fink, A. 1995. From the Survey Toolkit published by Sage. Choosing a Sample to Survey Population – the group to be covered by your research plan Sample – a subset of your population Generalize results – only if the sample is representative of the population Probability sampling Non-probability sampling 2 Probability sampling – Random Sampling Each member of the population has an equal chance of being selected. 3 Probability sampling – Stratified Random Sampling Take equal samples from each group (layers, strata). 4 Probability sampling – Proportional Stratified Sampling Take equal proportions of samples from each group (layers, strata). 5 Probability sampling – Cluster Sampling Take equal proportions of samples from certain regions only. 6 Non-probability Sampling – Convenience Sampling No attempt to have a representative sample Examples: Survey people in your neighborhood. Customer satisfaction cards in a restaurant. Survey all companies who have had projects done by NWMOC. Survey all Human Resources Managers at Stout Career Fair. 7 Sample size? Entire population, if N<100 20-50% of population, if 100 < N < 2000 About 400, if N > 2000 Affects the time and cost of the study, the precision of statistical results Be sure to consider the response rate 8 Sampling Bias Bias – an influence, condition, or set of conditions which distort the data Sampling bias – is the sample random? Examples: Political polls by phone interview A mail survey of alumni satisfaction, with 30% response rate 9 10 Dilbert Click to edit Master text styles Second level Third level Fourth level Fifth level Quantitative Methods/Confidence Intervals.pptx Confidence Intervals Some adapted from http://stattrek.com/estimation/confidence-interval.aspx and http://www.stat.yale.edu/Courses/1997-98/101/confint.htm 1 Confidence Interval Statisticians use a confidence interval to describe the amount of uncertainty associated with a sample estimate of a population parameter. It gives an estimated range of values which is likely to include an unknown population parameter, the estimated range is calculated from a set of sample data. Confidence Interval Gives the probability that the interval produced by the sample method includes the true value of the parameter You must assume a normal distribution Confidence Interval Selection Common choices for the confidence level are 0.90, 0.95, and 0.99. These levels correspond to percentages of the area of the normal density curve. For example, a 95% confidence interval covers 95% of the normal curve -- Normal Distribution Confidence Intervals Supp ...
Quantitative MethodsChoosing a Sample.pptxChoosing a Samp.docx
Quantitative MethodsChoosing a Sample.pptxChoosing a Samp.docx
amrit47
introduction categories of measurements In Biomedical Engineering and Factors in Making Measurement To any question Email me : yazeedotpp@gmail.com Yazeed M. Alotaibi
Biomedical categories of measurements
Biomedical categories of measurements
يزيد العتيبي
Spss for research
Spss software
Spss software
ManonmaniA3
variables cont
variables cont
variables cont
ROBERTOENRIQUEGARCAA1
Measurement and Types of Scale for Data
Measurement and scaling
Measurement and scaling
Balaji P
Significance of laboratory balance: visit: https://scienceequip.com.au
The significance of laboratory balance
The significance of laboratory balance
Science Equip
Hello everyone, this is Vartika Verma, student of B. El. Ed 4. This presentation titled 'Reliability' is helpful for the subject 'Measurement and Evaluation' in B. El. Ed 4 and also for all the Education students. Thanking you :)
Reliability by Vartika Verma .pdf
Reliability by Vartika Verma .pdf
Vartika Verma
Are you looking for Business Analytics training courses in Bangalore? then consult Beamsync. Beamsync is providing business analytics training in Bengaluru / Bangalore with experience trainers. For schedules visit: http://beamsync.com/business-analytics-training-bangalore/
Introduction to Business Analytics Course Part 10
Introduction to Business Analytics Course Part 10
Beamsync
A measurement systems analysis (MSA) is a thorough assessment of a measurement process, and typically includes a specially designed experiment that seeks to identify the components of variation in that measurement process. If there are errors in our measurement system we will be making decisions based on incorrect data. We could be making incorrect decisions or producing non-conforming parts. A properly planned and executed Measurement System Analysis (MSA) can help build a strong foundation for any data based decision making process. A measurement systems analysis considers the following: Selecting the correct measurement and approach Assessing the measuring device Assessing procedures and operators Assessing any measurement interactions Calculating the measurement uncertainty of individual measurement devices and/or measurement systems Common tools and techniques of measurement systems analysis include :- Calibration , Gage R&R , ATA /RTR , ANOVA , Calibration Requirement Alignment ATA –Audit the Auditor (RTR – Review the Reviewer) – name itself defines the check process for the auditor 1. QL(Quality Lead) to Re Audit the transaction audited by Quality Specialist Within 48 hrs of monitoring. 2. QL to track & publish variance report 3. Both Overall & Parameter Wise Variance is calculated 4. Any Variance >5% ( as defined in process ) should be documented & Should Reaudit another call within 72 Hrs 5. This should be weekly activity by TL's & below is the tracker Gage repeatability and reproducibility (GR&R) is defined as the process used to evaluate a gauging instrument’s accuracy by ensuring its measurements are repeatable and reproducible. The process includes taking a series of measurements to certify that the output is the same value as the input, and that the same measurements are obtained under the same operating conditions over a set duration. Standard GR&R Expanded GR&R Actual Process VariationMeasurement Variation Accuracy and Precision Accuracy: Precision: Linearity: Stability: Gage R & R for Continuous Data X Bar R Method Typically used in automobile industry Extreme values affect the method Short & Long Method Short Method does not measure operator and equipment variability separately Long method measures operator and equipment variability separately ANOVA Method Measures operator & equipment variability separately as well as combined effect of operator & parts More effective when extreme value are present Most tedious to perform manual calculations Analyzing Gage R&R Results R&R less than 10%–Measurement System “acceptable R&R 10% to 30%–May be acceptable–make decision based on classification of Characteristic , Application, Customer Input, etc. R&R over 30%–Not acceptable. Find problem, re-visit the Fishbone Diagram, remove Root Causes Bias Stability Linearity Repeatability The average of multiple measurements of an event are equal to the true value There is little variation in repeated measurements of the same
Quality Journey- Measurement System Analysis .pdf
Quality Journey- Measurement System Analysis .pdf
NileshJajoo2
analysis
Statistical analysis & errors (lecture 3)
Statistical analysis & errors (lecture 3)
Farhad Ashraf
David Passmore, Workforce Education & Development, Penn State
WF ED 540, Class Meeting 5, Fall Semester 2017
WF ED 540, Class Meeting 5, Fall Semester 2017
Penn State University
In depth overview of scientific method and experimental design. Begins with key goals, vocabulary and the big picture of the basic process. The program breaks down the scientific process using tulips as examples. Covers the entire process including scientific question and hypothesis formation, control and experimental trials, variables and controlling variables. In addition, discusses types of error, reliability and validity. Shows example conclusion as well as gives examples for Validity and Reliability. Designed for initial teaching by elementary and middle school teachers as well as a self paced review for Grades 6-12 and ELL students. Version 4.3 includes the companion volume on page 2, the Science and the Scientific Process reference guide (pdf). One must download the presentation to view this detailed document.
Experimental design version 4.3
Experimental design version 4.3
jschmied
RELIABILITY AND VALIDITY introduction reliability types of reliability validity types of validity relationship between validity and reliability
RELIABILITY AND VALIDITY
RELIABILITY AND VALIDITY
Joydeep Singh
Types of variables in statistics
Types of variables in statistics
Types of variables in statistics
Zakaria Hossain
Ähnlich wie Investigation Skills
(20)
Metrology.ppt
Metrology.ppt
Experiment basics
Experiment basics
Test Recommendation using Machine Learning - GHC 2020
Test Recommendation using Machine Learning - GHC 2020
R&R Analysis Using SEDana
R&R Analysis Using SEDana
Chapter 4 - multiple regression
Chapter 4 - multiple regression
Quantitative_analysis.ppt
Quantitative_analysis.ppt
Quantitative MethodsChoosing a Sample.pptxChoosing a Samp.docx
Quantitative MethodsChoosing a Sample.pptxChoosing a Samp.docx
Biomedical categories of measurements
Biomedical categories of measurements
Spss software
Spss software
variables cont
variables cont
Measurement and scaling
Measurement and scaling
The significance of laboratory balance
The significance of laboratory balance
Reliability by Vartika Verma .pdf
Reliability by Vartika Verma .pdf
Introduction to Business Analytics Course Part 10
Introduction to Business Analytics Course Part 10
Quality Journey- Measurement System Analysis .pdf
Quality Journey- Measurement System Analysis .pdf
Statistical analysis & errors (lecture 3)
Statistical analysis & errors (lecture 3)
WF ED 540, Class Meeting 5, Fall Semester 2017
WF ED 540, Class Meeting 5, Fall Semester 2017
Experimental design version 4.3
Experimental design version 4.3
RELIABILITY AND VALIDITY
RELIABILITY AND VALIDITY
Types of variables in statistics
Types of variables in statistics
Mehr von Mahmoud
مهارات التفكير الإبتكاري كيف تكون مبدعا؟
مهارات التفكير الإبتكاري كيف تكون مبدعا؟
Mahmoud
كيف تقوى ذاكرتك
كيف تقوى ذاكرتك
Mahmoud
مهارات التعامل مع الغير
مهارات التعامل مع الغير
Mahmoud
ستيفن كوفي ( ادارة الاولويات ) لايفوتكم
ستيفن كوفي ( ادارة الاولويات ) لايفوتكم
Mahmoud
تطوير الذاكرة تعلم كيف تحفظ 56 كلمة كل 10 دقائق
تطوير الذاكرة تعلم كيف تحفظ 56 كلمة كل 10 دقائق
Mahmoud
الشخصية العبقرية
الشخصية العبقرية
Mahmoud
مهارات كتابه السيرة الذاتيه واجتياز المقابله الشخصيه
مهارات كتابه السيرة الذاتيه واجتياز المقابله الشخصيه
Mahmoud
مهارات التفكير الإبتكاري كيف تكون مبدعا؟
مهارات التفكير الإبتكاري كيف تكون مبدعا؟
Mahmoud
مهارات التعامل مع الغير
مهارات التعامل مع الغير
Mahmoud
تطوير الذاكرة تعلم كيف تحفظ 56 كلمة كل 10 دقائق
تطوير الذاكرة تعلم كيف تحفظ 56 كلمة كل 10 دقائق
Mahmoud
كيف تقوى ذاكرتك
كيف تقوى ذاكرتك
Mahmoud
ستيفن كوفي ( ادارة الاولويات ) لايفوتكم
ستيفن كوفي ( ادارة الاولويات ) لايفوتكم
Mahmoud
الشخصية العبقرية
الشخصية العبقرية
Mahmoud
Building Papers
Building Papers
Mahmoud
Appleipad 100205071918 Phpapp02
Appleipad 100205071918 Phpapp02
Mahmoud
A Basic Modern Russian Grammar
A Basic Modern Russian Grammar
Mahmoud
Teams Ar
Teams Ar
Mahmoud
Stress Ar
Stress Ar
Mahmoud
Small Projects
Small Projects
Mahmoud
Risk
Risk
Mahmoud
Mehr von Mahmoud
(20)
مهارات التفكير الإبتكاري كيف تكون مبدعا؟
مهارات التفكير الإبتكاري كيف تكون مبدعا؟
كيف تقوى ذاكرتك
كيف تقوى ذاكرتك
مهارات التعامل مع الغير
مهارات التعامل مع الغير
ستيفن كوفي ( ادارة الاولويات ) لايفوتكم
ستيفن كوفي ( ادارة الاولويات ) لايفوتكم
تطوير الذاكرة تعلم كيف تحفظ 56 كلمة كل 10 دقائق
تطوير الذاكرة تعلم كيف تحفظ 56 كلمة كل 10 دقائق
الشخصية العبقرية
الشخصية العبقرية
مهارات كتابه السيرة الذاتيه واجتياز المقابله الشخصيه
مهارات كتابه السيرة الذاتيه واجتياز المقابله الشخصيه
مهارات التفكير الإبتكاري كيف تكون مبدعا؟
مهارات التفكير الإبتكاري كيف تكون مبدعا؟
مهارات التعامل مع الغير
مهارات التعامل مع الغير
تطوير الذاكرة تعلم كيف تحفظ 56 كلمة كل 10 دقائق
تطوير الذاكرة تعلم كيف تحفظ 56 كلمة كل 10 دقائق
كيف تقوى ذاكرتك
كيف تقوى ذاكرتك
ستيفن كوفي ( ادارة الاولويات ) لايفوتكم
ستيفن كوفي ( ادارة الاولويات ) لايفوتكم
الشخصية العبقرية
الشخصية العبقرية
Building Papers
Building Papers
Appleipad 100205071918 Phpapp02
Appleipad 100205071918 Phpapp02
A Basic Modern Russian Grammar
A Basic Modern Russian Grammar
Teams Ar
Teams Ar
Stress Ar
Stress Ar
Small Projects
Small Projects
Risk
Risk
Investigation Skills
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.
17.
18.
19.
20.
21.
22.
23.
24.
25.
26.
27.
28.
29.
30.
31.
32.
33.
34.
35.
36.
37.
38.
Wrong answer Click
to return to the question
Jetzt herunterladen