hw4(CMTH380W24)

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University of Toronto *

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328

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Statistics

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Apr 3, 2024

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CMTH 380 Assignment # 4 Winter 2024 DUE: on D2L at 11:59 pm April 12, 2024 NOTE: Please submit your answers in a PDF file in ”Assessment Assignment 4” on the course shell before the deadline. Penalty for late submission is 50% your marks. Problem 1. The following sample has been taken from a normal distribution with variance σ 2 = 1 and unknown mean µ 0 . 7518 , 1 . 4977 , 1 . 7274 , 1 . 8371 , 0 . 3193 , 0 . 7773 , 1 . 0900 , 0 . 7659 , 0 . 3623 , 1 . 7205 a) Find a 95% confidence interval for µ ?What is the length of the interval? b) What sample size should be used to obtain a 95% confidence interval for µ of length 0.5 in question (a)? Problem 2. A melting point test of n = 10 samples of a binder used in manufacturing a rocket propellant resulted in ¯ x = 154 . 2 o F . Assume that the melting point is normally distributed with σ = 1 . 5 o F . Test H 0 : µ = 155 versus H 1 : µ ̸ = 155 using α = 0 . 01. (a) Find the acceptance region. (b) Find the P-value for this test. (c) Make a conclusion. Problem 3. The temperatures of female monkeys follow a normal distribution. A sample is as follows: 97 . 8 , 97 . 2 , 97 . 4 , 97 . 6 , 97 . 8 , 97 . 9 , 98 . 0 , 98 . 0 , 98 . 0 , 98 . 1 , 98 . 2 , 98 . 3 , 98 . 3 , 98 . 4 , 98 . 4 , 98 . 4 , 98 . 5 , 98 . 6 , 98 . 6 , 98 . 7 , 98 . 8 , 98 . 8 , 98 . 9 , 98 . 9 , 99 . 0 . a) Find the sample size, mean and standard deviation. n = 25 ¯ x = 25 i =1 x i 25 = 98 . 264 s 2 = 25 i =1 ( x i ¯ x ) 2 25 1 = 0 . 2324 b) Test the hypothesis H 0 : µ = 98 . 6 versus H 1 : µ ̸ = 98 . 6, using α = 0 . 05. Find the P-value. Problem 4. The wall thickness of 25 glass 2-liter bottles was measured by a quality control- engineer. The sample mean was ¯ x = 4 . 05 millimeters, and the sample standard deviation was s = 0 . 08. The probability plot for this sample support the assumption that the population is normally distributed. Find a 95% lower confidence bound for mean wall thickness.
2 Problem 5. The percentage of titanium in an alloy used in aerospace castings is measured in 51 randomly selected parts. The sample standard deviation is s = 0 . 37 and the probability plot support the assumption that the population is normally distributed. Construct a 95% two-sided confidence interval for σ . Problem 6. The yield of a chemical process follows a normal distribution. We have a sample with n = 51 and s = 0 . 37. a) Test the hypothesis H 0 : σ = 0 . 25 versus H 1 : σ ̸ = 0 . 25 using α = 0 . 05. Make your conclusion, by finding the P-value. b) Explain how you could answer the question in part (a) by constructing a 95% two-sided confidence interval for σ .
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