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In Constructing a Confidence Interval For σ\sigma Or σ2\sigma ^ { 2 }

question 29

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In constructing a confidence interval for σ\sigma or σ2\sigma ^ { 2 } , a table is used to find the critical values χL2\chi { } _ { L } ^ { 2 } and χR2\chi _ { \mathrm { R } } ^ { 2 } for values of n101\mathrm { n } \leq 101 . For larger values of n,χL2n , \chi _ { \mathrm { L } } ^ { 2 } and χR2\chi _ { \mathrm { R } } ^ { 2 } can be approximated by using the following formula: χ2=12[±zα/2+2k1]2\chi ^ { 2 } = \frac { 1 } { 2 } \left[ \pm \mathrm { z } _ { \alpha / 2 } + \sqrt { 2 \mathrm { k } - 1 } \right] ^ { 2 } where k\mathrm { k } is the number of degrees of freedom and zα/2\mathrm { z } _ { \alpha / 2 } is the critical z score. Estimate the critical values χL2\chi _ { \mathrm { L } } ^ { 2 } and χR2\chi _ { \mathrm { R } } ^ { 2 } for a situation in which you wish to construct a 95%95 \% confidence interval for σ\sigma and in which the sample size is n=295n = 295 .


Definitions:

Inventory Holding Costs

encompass all expenses related to storing unsold goods, including warehousing, insurance, depreciation, opportunity cost, and spoilage, significant in inventory management decisions.

Pilferage

The theft of small quantities of goods, typically from an employer or a retail setting, often considered a form of inventory shrinkage.

Scrap

Material that is discarded or deemed as waste during the manufacturing process, often due to defects, excess, or irrelevance to the final product.

Obsolescence

The process of becoming outdated or no longer used, often because of the introduction of newer and more effective technologies or products.

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