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Inference for the Mean of a Population Section 11.1 – Continued AP Exam Registration Deadline: March 17 th Late Fee ($50): March 18 th – March 24 th Get out homework!

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One-sample t procedures

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Example 11.2, p.622 – 623 Environmentalists, government officials, and vehicle manufacturers are all interested in studying the auto exhaust emissions produced by motor vehicles. The major pollutants in auto exhaust are hydrocarbons, monoxide, and nitrogen oxides (NOX). The following table gives the NOX levels (in g/mi) for a sample of light-duty engines of the same type. Construct a 95% interval for the mean amount of NOX emitted by light-duty engines of this type

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Construct a 95% interval for the mean amount of NOX emitted by light-duty engines of this type. State: Identify the parameter you want to estimate and confidence level. We want to estimate µ, the mean amount of NOX emitted by light- duty engines of this type, at a 95% confidence level

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Construct a 95% interval for the mean amount of NOX emitted by light-duty engines of this type. Plan: Choose your procedure. Verify conditions. Procedure: means, t-procedure Conditions: 1. SRS 2. Independent 3. Normal Assume 46*10 = 460 Assume there are more engines , approx. normal by CLT.

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So t * = 2.021

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Construct a 95% interval for the mean amount of NOX emitted by light-duty engines of this type. Conclude: Write your results in context. We are 95% confident that the true mean level of nitrogen oxides emitted by this type of light-duty engine is between grams/mile and grams/mile.

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Robust Procedures A confidence interval or significance test is called robust if the confidence level or P-value does not change very much when the assumptions of the procedure are violated. t procedures are relatively robust when the population is non-normal, especially for larger samples. IMPORTANT: t procedures are strongly influenced by outliers. (example 11.6)

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Using the t procedures – (p. 636) Assumption that data are an SRS from the population is more important than the assumption that the population is normal (except with small samples) Sample size < 15. Use if the data are close to normal. If outliers are present, do not! Sample size 15. Can be used except when there are outliers and distribution is skewed. Large samples (roughly n 40). Can be used even for skewed distributions.

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Homework: P. 628: b, c Due: Wednesday FYI: I have a meeting Friday morning, 3/8. I will have to cancel tutoring that day. I will have tutoring on Thursday morning at 8:45 – 9:15.

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