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Heat through the glass How well materials conduct heat matters when designing houses
Chapter 9, Problem 74(choose chapter or problem)
Heat through the glass How well materials conduct heat matters when designing houses, for example. Conductivity is measured in terms of watts of heat power transmitted per square meter of surface per degree Celsius of temperature difference on the two sides of the material. In these units, glass has conductivity about 1. The National Institute of Standards and Technology provides exact data on properties of materials. Here are measurements of the heat conductivity of 11 randomly selected pieces of a particular type of glass:22 1.11 1.07 1.11 1.07 1.12 1.08 1.08 1.18 1.18 1.18 1.12 (a) Is there convincing evidence that the mean conductivity of this type of glass is greater than 1? (b) Given your conclusion in part (a), which kind of mistakea Type I error or a Type II errorcould you have made? Explain what this mistake would mean in context.
Questions & Answers
QUESTION:
Heat through the glass How well materials conduct heat matters when designing houses, for example. Conductivity is measured in terms of watts of heat power transmitted per square meter of surface per degree Celsius of temperature difference on the two sides of the material. In these units, glass has conductivity about 1. The National Institute of Standards and Technology provides exact data on properties of materials. Here are measurements of the heat conductivity of 11 randomly selected pieces of a particular type of glass:22 1.11 1.07 1.11 1.07 1.12 1.08 1.08 1.18 1.18 1.18 1.12 (a) Is there convincing evidence that the mean conductivity of this type of glass is greater than 1? (b) Given your conclusion in part (a), which kind of mistakea Type I error or a Type II errorcould you have made? Explain what this mistake would mean in context.
ANSWER:Step 1 of 5
(a)
The mean is the sum of all values divided by the number of values:
is the number of values in the sample.
The standard deviation is the square root of the sum of squared deviations from the mean divided by .