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Applied Statistics and Probability for Engineers: Montgomery

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Applied Statistics and Probability for Engineers: Montgomery

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الكورس متوافق مع العديد من الجامعات مثل جامعة الملك عبد العزيزAfter careful study of this chapter, you should be able to do the following:1. Explain the general concepts of estimating the parameters of a population or a probability distribution2 . Explain the important role of the normal distribution as a sampling distribution and the central limit theorem3 .Explain important properties of point estimators, including bias, variance, and mean square error4. Construct point estimators using the method of moments and the method of maximum likelihood.5. Compute and explain the precision with which a parameter is estimated6. Construct a point estimator using the Bayesian approach8- After careful study of this chapter, you should be able to do the following:1. Construct confidence intervals on the mean of a normal distribution, using normal distribution or t distribution method2. Construct confidence intervals on the variance and standard deviation of normal distribution3 . Construct confidence intervals on a population proportion4. Use a general method for constructing an approximate confidence interval on a parameter5. Construct a prediction interval for a future observation6. Construct a tolerance interval for a normal population7. Explain the three types of interval estimates: confidence intervals, prediction intervals, and tolerance intervals9- After careful study of this chapter, you should be able to do the following:1. Structure engineering decision-making problems as hypothesis tests2. Test hypotheses on the mean of a normal distribution using a Z-test or a t-test3. Test hypotheses on the variance or standard deviation of a normal distribution4. Test hypotheses on a population proportion5. Use the P-value approach for making decisions in hypothesis tests6. Compute power Type II error probability and make sample size selection decisio

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