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ME 322: Instrumentation Lecture 3

ME 322: Instrumentation Lecture 3. January 27, 2012 Professor Miles Greiner. Normal Distribution. Population size N Sample size n < N. Normal Distribution. The probability the next sample is within:. Lab 2: Cost Estimates.

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ME 322: Instrumentation Lecture 3

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  1. ME 322: InstrumentationLecture 3 January 27, 2012 Professor Miles Greiner

  2. Normal Distribution • Population size N • Sample size n < N

  3. Normal Distribution • The probability the next sample is within:

  4. Lab 2: Cost Estimates • What cost is greater than 90% of all current and future measurements?

  5. Example Problem: based of lab Assume I measure the Quad and got a cost estimate of $963 and I know that the measurement process has led to a cost standard deviation of $323. How much money should I add to be 90% sure that I’ve budgeted enough?

  6. Uncertainty Take n samples of a population (n < N) Expect: 1) & S from different samples will not be equal. 2) as n increases, expect variation between samples to be smaller. Uncertainty un the population mean confidence interval.

  7. Confidence Level • Confidence Level P • Probability that the true µ is within the confidence interval. • How to estimate δ for a given P If N >30

  8. Confidence Level If N >30 use student t

  9. Example 6.14 a We would like to determine the confidence interval of the mean of a batch of resistors made using a certain process. Based on 36 readings, the average resistance is 25 Ω and the sample standard deviation is 0.5 Ω.

  10. Example 6.14 a

  11. Example 6.16 A manufacture of VCR systems would like to estimate the mean failure time of a VCR brand with 95% confidence. Six systems are tested to failure, and the following data )in ours of playing time) are obtained: 1250, 1320, 1542, 1464, 1275, and 1383. If a 95% confidence interval of ± 120 h was found how many more must be tested to obtain a confidence interval of ± 50 h.

  12. Example 6.16

  13. Example 6.16

  14. Correlation Coefficient

  15. Correlation Coefficient

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