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ASQ CQPA Book 3 Frequently Most Tested Questions and Verified Accurate Answers

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Basic Distributions Depicts the amount of variation in outcomes of a process, used to represent the behavior of a process outcome. Usually described in terms of its shape, mean, and standard deviation Central Tendency - Descriptive Statistics measures data location using the mean, mode and...

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  • November 19, 2024
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ASQ CQPA Book 3 Frequently Most Tested
Questions and Verified Accurate Answers
Basic Distributions

✓ Depicts the amount of variation in outcomes of a process, used to represent the behavior
of a process outcome. Usually described in terms of its shape, mean, and standard
deviation



Central Tendency - Descriptive Statistics

✓ measures data location using the mean, mode and median



Dispersion

✓ a measure of spread around a central point, includes the measures range, standard
deviation and variance



Mean (distribution)

✓ typically used with normal data, provides a reference point for relating all other data
points

✓ ex. 1,1,2,3,4,5,5 = mean = 3



Median (distribution)

✓ Center point. Equal number of data points to each side

✓ ex: 2,3,4,4,5,5,5,5,6,6,7,7,8



Mode (distribution)


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✓ Not used to generate statistical data, typically used with non-normal data, may have
multiple modes

✓ ex: 1,1,2,3,4,5,5: mode = 1 and 5



Binomial distribution

✓ Modeling discrete (attribute) data having only two possible outcomes... (ex: yes or no )



Poisson distribution

✓ estimating probability (Note: the binomial and poisson distributions are known as discrete
distributions)



Normal distribution

✓ produces a bell-shaped curve



Weibull distribution

✓ statistical approach evaluating a design to deduce the percentages of failures



Skewed distribution

✓ Not normal



Skewness

✓ = mean - mode / standard deviation



Bimodal Distribution

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✓ a probability distribution having two distinct statistical modes (Note: Skewed and bimodal
distributions are not normal distributions. They are skewed to either side or toward both
ends



Variability

✓ Spread of data



Standard Deviation

✓ Used for measuring dispersion, measures the spread of the values in the data set



Range

✓ a measure of dispersion



Variance

✓ measures the extent of dispersion around the central tendency.



Probability

✓ The chance of an event occurring



Independent event

✓ The occurrence of one event does not affect the probability that the other occurs



Mutually exclusive events



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