Exam 3: Descriptive Statistics

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An outlier of a data set is determined from the lower and upper quartile

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An electrical component for one of the main products your company produces is specified to have an electrical impedance of 2.15 ohms.However, the manufacturing process is not perfect and there is some variation on the actual impedance of these components.A recent statistical study indicated that in fact, the impedances are normally distributed with a mean impedance of 2.15 ohms and a standard deviation of 0.05 ohms.When the impedance exceeds 2.25 ohms, the product malfunctions so that component must be rejected and replaced by one whose impedance is within the acceptable limit.If you need 1350 usable components, how many components should you order?

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If a large data set can be assumed to be normally distributed, then a business analyst could apply the normality rule to determine a range with approximately 60% of the data.

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If the median of a distribution is greater than mean, then the distribution is skewed to the left.

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A box and whisker plot is determined from the mean, the smallest and the largest values, and the lower and upper quartile.

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By comparing the mean and median of a variable in a large data set, a business analyst can assess the variability within the values of that variable.

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The most frequently occurring value in a set of data is called the mode.

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A commuter travels many miles to work each morning.She has timed this trip 5 times during the last month.The time (in minutes)required to make this trip was 38, 33, 36, 47, and 41.What is the standard deviation for these sample data?

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