Question (1): True/False Statements [30 points] State weather the following statements are true or false and...
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Question (1): True/False Statements [30 points] State weather the following statements are true or false and correct the false ones: (a) In an observational study, deliberate changes are made in the controllable variables of the system or process. (b) A fractional factorial experiment tests all factor combinations. (c) Adjustments to a process based on random disturbances decrease the process variations. (d) A stem-and-leaf plot reflects the data variations with time. (e) A matrix of scatter diagrams can be used to visualize the pairwise relationships for two or more variables. (f) A zero value of the Pearson correlation coefficient indicates no relationship between variables. (g) A probability plot is a graphical method for determining whether sample data conform to a hypothesized distribution. (h) The central limit theorem applies to sampling from a population that has only a normal probability distribution. (i) An optimal parameter estimator has the minimum bias among all estimators of that parameter. (G) The moment estimator is approximately a minimum-variance unbiased estimator. Question (1): True/False Statements [30 points] State weather the following statements are true or false and correct the false ones: (a) In an observational study, deliberate changes are made in the controllable variables of the system or process. (b) A fractional factorial experiment tests all factor combinations. (c) Adjustments to a process based on random disturbances decrease the process variations. (d) A stem-and-leaf plot reflects the data variations with time. (e) A matrix of scatter diagrams can be used to visualize the pairwise relationships for two or more variables. (f) A zero value of the Pearson correlation coefficient indicates no relationship between variables. (g) A probability plot is a graphical method for determining whether sample data conform to a hypothesized distribution. (h) The central limit theorem applies to sampling from a population that has only a normal probability distribution. (i) An optimal parameter estimator has the minimum bias among all estimators of that parameter. (G) The moment estimator is approximately a minimum-variance unbiased estimator.
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