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Installing Mercury Quality center
HI.
I am using Windows XP. I tried to install mercury quality center using evaluation key. I got an error in advance database server configuration. pls anyone help me to sort out this issue. -
P-Value and Significant Level
What is the difference between p-value and significance level?
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In an Exponential distribution, the symbol λ is called the ________.
Skill/Topic: Statistical Process ControlA) Failure Rate
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Fisher conducted statistical research to assist farmers in understanding how to optimally plant and rotate crops
Skill/Topic: Statistical Process ControlA) TrueB) False
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Why is ‘BETA’ Distribution more flexible probability density function compared to the normal distribution ?
Skill/Topic: Statistical Process ControlA) The beta distribution is a more flexible probability density function compared to the normal distribution because it can accommodate different ranges (not always from –α to + α , as in the normal distribution) and different shapes from left skew
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Process capability is simply the range that contains all possible values of a specified quality characteristic generated by a process under a given set of conditions.
Skill/Topic: Statistical Process ControlA) TrueB) False
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The process capability ratio (PCR, or Cp) compares the tolerance specified on the characteristic with the process capability
Skill/Topic: Statistical Process ControlA) TrueB) False
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Process capability gives an indication of the proportion or percentage of rejection.
Skill/Topic: Statistical Process ControlA) TrueB) False
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For the example given in Question 26, estimate the proportion of defectives if P[Z> 3Cp ] i.e. P[Z> 3* 0.8333 ] = P[ Z> 2.4999] from the Normal table is found as 0.0062
Skill/Topic: Statistical Process ControlA) 0.0122
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The roughness of the ground surface of a component cannot exceed 0.02 units. A random sample of components ground by a surface-grinding machine yielded the following estimates: Mean roughness = 0.01, Standard deviation = 0.003. Compute the Cp index of this process
Skill/Topic: Statistical Process ControlA) 1.111Explanation: Cp = [USL – μ]/ 3σ = [0.02 - 0.01]/[3 * 0.003] = 1.111
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The tensile strength of a welded joint used in construction has to be at least equal to 40 tons per square inch (ton/in.2). A random sample of 100 joints welded by a welding machine yielded the following estimates of the parameters of the distribution of the tensile strengths: Mean = 65 ton/in2. Standard deviation = 8.2 ton/ in2..
Skill/Topic: Statistical Process ControlA) 1.012Explanation: Cp = [μ- LSL]/ 3σ = [65- 40]/[3*8.2] = 1.012
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Give the formula used for calculating Cpk
Skill/Topic: Statistical Process ControlA) Cpk =Minimum [ USL – μ, μ- LSL]/ 3σ
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Compute the Cpk index for the process for which the lower and upper specification limits are 4 and 16, respectively; the nominal size is 10.0; and the standard deviation of all three processes, σ, is 1.5. The Cp indexes for process is equal to 1.33.
Skill/Topic: Statistical Process ControlA) 1.333B) 4C) 2.333D) 16Explanation: Cpk =Minimum [ USL – μ, μ- LSL]/ 3σ = Minimum [ 16-10,10-4]/3*1.5 = 1.333
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The two components of a measurement error are ________ and __________
Skill/Topic: Statistical Process ControlA) random , systematicExplanation: The random component causes a spread in the results of measurement, whereas the systematic component causes a bias in the results.
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What are the sources for measurement errors?
Skill/Topic: Statistical Process ControlA) Person who measures, Instrument used for measuring
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The variables that affect the output variables are divided into ________ groups
Skill/Topic: Statistical Process ControlA) TwoExplanation: The variables that affect the output variables are divided into two groups. They are Input variables and Noice variables.
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What are input variables?
Skill/Topic: Statistical Process ControlA) Input variables or signal factors are those that can be set at the desired levels by the experimenter.Explanation: that is, these variables can be controlled during the experiment and at the design stage and or in the actual production stage.
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Identifying the input variables, intermediate variables, noise variables, and response variables is a critical step in any experiment
Skill/Topic: Statistical Process ControlA) TrueB) False
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How can you effectively identify the various variables of an experiment?
Skill/Topic: Statistical Process ControlA) By using the Cause and effect diagramExplanation: Identifying the input variables, intermediate variables, noise variables, and response variables is a critical step in any experiment and can be effectively performed using cause-and-effect diagrams.
Quality Control Interview Questions
Ans