(d) Use the defining formulas to compute the sample variance s² and sample standard deviation s. (e) Suppose the given data comprise the entire population of all x values. Compute the population variance o2 and population standard deviation o.

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Please answer number 13: part d and e only!!
### Critical Thinking: Outliers

One indicator of an outlier is that an observation is more than 2.5 standard deviations from the mean. Consider the data value 80.

(a) If a data set has mean 70 and standard deviation 5, is 80 a suspect outlier?

(b) If a data set has mean 70 and standard deviation 3, is 80 a suspect outlier?


### Basic Computation: Variance, Standard Deviation

Given the sample data \(x\):

\[ 23 \quad 17 \quad 15 \quad 30 \quad 25 \]

(a) Find the range.

(b) Verify that \(\sum x = 110\) and \(\sum x^2 = 2568\).

(c) Use the results of part (b) and appropriate computation formulas to compute the sample variance \(s^2\) and sample standard deviation \(s\).

(d) Use the defining formulas to compute the sample variance \(s^2\) and sample standard deviation \(s\).

(e) Suppose the given data comprise the entire population of all \(x\) values. Compute the population variance \(\sigma^2\) and population standard deviation \(\sigma\).
Transcribed Image Text:### Critical Thinking: Outliers One indicator of an outlier is that an observation is more than 2.5 standard deviations from the mean. Consider the data value 80. (a) If a data set has mean 70 and standard deviation 5, is 80 a suspect outlier? (b) If a data set has mean 70 and standard deviation 3, is 80 a suspect outlier? ### Basic Computation: Variance, Standard Deviation Given the sample data \(x\): \[ 23 \quad 17 \quad 15 \quad 30 \quad 25 \] (a) Find the range. (b) Verify that \(\sum x = 110\) and \(\sum x^2 = 2568\). (c) Use the results of part (b) and appropriate computation formulas to compute the sample variance \(s^2\) and sample standard deviation \(s\). (d) Use the defining formulas to compute the sample variance \(s^2\) and sample standard deviation \(s\). (e) Suppose the given data comprise the entire population of all \(x\) values. Compute the population variance \(\sigma^2\) and population standard deviation \(\sigma\).
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