Question 3: Quality control manager at Baskı Devre production facility wishes to carry out an experiment where she aims to study the effect on the yield of using three methods in thermal processing step in the production of integrated circuits. During the production, these circuits are manufactured on silicon wafers, which goes through series of steps. The results of the experiment are given in the table below. Method A Method B Method C 38 29 31 34 35 23 38 34 38 34 20 29 19 35 32 28 37 30 a. If the Quality control manager decides to use 0.01 level of significance, is there evidence of a difference in the mean yield among the methods used in the thermal processing? Interpret your decision. b. If appropriate, determine which methods differ in mean yields. c. If the Quality control manager decides to use 0.01 level of significance, is there evidence of a difference in the variation in yields among the different methods? d. How does your answer in part (c) affect the validity of your results in (a) and (b)?

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Q: Could you please solve c and d for me

A: For the given 90o bend, to complete a loop, at least 4 bends are required.  If more than 4 bends are…

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A: Given graph is a straight line so

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Q: what is the solution

A: The series diverges.

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A: Given that:  Population mean

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A: A) Since every year, total reserves decrease by 16 billion barrels of oil, therefore: R=2000-16t,…

Q: can you do part 2 of the question and part 3

A: (ii) The Principal Component Analysis (PCA) is greatly affected by the Spectral Theorem. A…

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A: A linear equation needs two parameters - the slope and the intercept. The slope is the amount of…

Q: could you solve the second question as well

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A: From the given function: plot  f(x)=3 from -∞<x≤-2 plot  f(x)=-2x-1 from x>-2  to x≤1   x…

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Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.