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1 از اﻗﺘﺒﺎس: Introduction to Statistical Quality Control, 5 th edition Douglas C. Montgomery اوﻟﯿﺎء ﺻﺎﻟﺢ ﻣﺤﻤﺪ دﮐﺘﺮ ﯾﺰد داﻧﺸﮕﺎه ﺻﻨﺎﯾﻊ ﻣﻬﻨﺪﺳﯽ داﻧﺸﮑﺪه آﻣﺎری ﮐﯿﻔﯿﺖ ﮐﻨﺘﺮل3 ﻣﻮرد در اﺳﺘﻨﺒﺎط ﻓﺮاﯾﻨﺪ ﮐﯿﻔﯿﺖIntroduction to Statistical Quality Control, 5th Edition by Douglas C. Montgomery. 2005, Wiley Dr. Owlia- Yazd University 3 ﻣﻄﺎﻟﺐ ﻓﻬﺮﺳﺖ ﮔﯿﺮی ﻧﻤﻮﻧﻪ ﺗﻮزﯾﻌﻬﺎی ﻓﺮاﯾﻨﺪ ﭘﺎراﻣﺘﺮﻫﺎی ای ﻧﻘﻄﻪ ﺗﺨﻤﯿﻦ ﻧﻤﻮﻧﻪ ﯾﮏ اﺳﺎس ﺑﺮ آﻣﺎری اﺳﺘﻨﺒﺎط ﻧﻤﻮﻧﻪ ﭼﻨﺪ ﯾﺎ دو اﺳﺎس ﺑﺮ آﻣﺎری اﺳﺘﻨﺒﺎط
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Page 1: طﺎﺒﻨﺘﺳا ﺪﻨﯾاﺮﻓ ﺖﯿﻔﯿﮐ - Yazd Introduction to Statistical Quality Control, 5th Edition by Douglas C. Montgomery. 2005, Wiley Dr. Owlia- Yazd University

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:اقتباس ازIntroduction to Statistical Quality Control, 5th edition

Douglas C. Montgomery

دکتر محمد صالح اولیاء دانشکده مهندسی صنایع دانشگاه یزد

کنترل کیفیت آماری

استنباط در مورد 3 کیفیت فرایند

Introduction to Statistical Quality Control, 5th Edition by Douglas C. Montgomery. 2005, WileyDr. Owlia- Yazd University 3

فهرست مطالب توزیعهای نمونه گیری

تخمین نقطه ای پارامترهای فرایند استنباط آماری بر اساس یک نمونه

استنباط آماری بر اساس دو یا چند نمونه

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Random Sample

Statistics

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Chi-square (χ2) Distribution

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t Distribution

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F Distribution

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•As n gets large the bias goes to zero

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Null HypothesisAlternative

Hypothesis

•In this example, H1 is a two-sided alternative hypothesis

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•H1 in equation 3-22 is a two-sided alternative hypothesis

•The procedure for testing this hypothesis is to:− take a random sample of n observations on the random variable x,− compute the test statistic, and − reject H0 if |Z0| > Zα/2, where Zα/2 is the upper α/2 percentage of the standard normal distribution.

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One-Sided Alternative Hypotheses

In some situations we may wish to reject H0 only if the true mean is larger than µ0

Thus, the one-sided alternative hypothesis is H1: µ>µ0, and we would reject H0: µ=µ0 only if Z0>Zα

If rejection is desired only when µ<µ0

Then the alternative hypothesis is H1: µ<µ0, and we reject H0 only if Z0<−Zα

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Confidence Intervals

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Confidence Interval on Mean, Variance Known

Furthermore, a 100(1 − α)% upper confidence bound on µ is

whereas a 100(1 − α)% lower confidence bound on µ is

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• For the two-sided alternative hypothesis, reject H0 if |t0| > tα/2,n-1, where tα/2,n-1, is the upper α/2 percentage of the t distribution with n − 1 degrees of freedom• For the one-sided alternative hypotheses,

• If H1: µ1 > µ0, reject H0 if t0 > tα,n − 1, and • If H1: µ1 < µ0, reject H0 if t0 < −tα,n − 1

• One could also compute the P-value for a t-test

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• Section 3-3.4 describes hypothesis testing and confidence intervals on the variance of a normal distribution

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• Section 3-4.3 describes hypothesis testing and confidence intervals on the variance of two normal distributions

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