Question 3. To determine whether the pipe welds in a nuclear power plant meet specifica-tions, n = 25 welds are randomly selected. The specifications state that mean strength ofwelds should exceed 120 lb/in². Test the following hypothesis against its alternative at thesignificance level a = 0.05::Ho: μ = 120, Ha > 120.₁₁From the sample, it is given thatdistribution table.=3050 and ₁²= 372964. Use the t-

To determine whether the pipe welds in a nuclear power plant meet specifications, n = 25 welds are…

Answered: welds should exceed 120 lb/in². Test…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Two types of force sensors (A and B) to measure the applied force (Ib) at the tip of a cantilever in a student Lab. The two data sets are shown below: 1. Standard N Deviation Average A 140.2 10.01 12 B 145.5 8.96 14 a. Estimate the interval of the true mean with 95% confidence, using data from sensor A. b. How many more measurements are needed for sensor A to have the same interval with 99% confidence (assume the mean and standard deviation are the same)? c. How many measurements (out of 12) using sensor A to have force greater 142 (randomly sampled)? d. What is the probability to have the true mean force greater 142 using sensor A? e. Determine if there is a difference between the two sensors A and B with 95% of confidence.
The following are the weight losses of certain machine parts due to friction (in milligrams) when used with three different lubricants: Lubricant 1: 13 11 10 13 Lubricant 2: 9. 11 Lubricant 3: 7 6. Test at the 0,01 level of significance whether the type of lubricant effects the weight loss of the machine parts due to friction. While carrying out the test, follow the steps below and answer the questions. 1- Determine the null and alternative hypotheses. Ho: H: 2-Fill in the following ANOVA Table. ANOVA Table Source of Variation Degrees of Freedom Sum of Squares Mean Sum of Squares Treatment Error Total 3-State your decision and conclusion.
Is the following statement true or false and why: If we do not reject ?0H0, then we conclude that ?1H1 is false. Washers used in a certain application are supposed to have a thickness of 2 millimeters. A quality control engineering measures the thickness for a sample of washers and tests ?0:?=2H0:μ=2 versus ?1:?≠0H1:μ≠0. If a Type I error is made, what conclusion will be drawn regarding the mean washer thickness?
4) Blood calcium levels are measured in mg/dL. In patients over 30, μ = 9.75 mg/dL, and σ = 2.25 mg/dL. Again, use R. a) Give the blood calcium values for the middle 30% of patients. b) Give the blood calcium values for the middle 75% of patients. c) Give the 87.5th percentile.
Please solve for p value ,determine weather to reject hypothesis and state the conclusion for enough evidence
The ages of the winners of a cycling tournament are aproximately bell-shaped. The mean age is 27.9 years, with a standard deviation of 3.5 years. The winner in one recent year was 34 years old. a) Gransform the age to a z-score b) Interpret the results c) Determne whether the age is unusual. ---------------------------------------------------------- a) transform the age to a z-score z=_____ type an integer or decimal rounded to two decimal places as needed
10. An engineering study was undertaken to determine the optimum thickness of aluminum to be used to construct cans to be used for cat food. Cans made of aluminum of thickness 2.10 mm and 1.90 mm were tested to determine the maximum load each would sustain before collapsing. The sample data is summarized below. Use a = 0.05 to test the claim that the thicker cans are stronger (will withstand a higher load). 2.10 mm thick 1.90 mm thick sample size 175 170 mean maximum load (kg) 28.18 26.71 standard deviation of maximum load (kg) | 2.78 2.21
Can someone help with the assumptions and the conclusion/interpretations?
I need help answering 26. (a-e)

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welds should exceed 120 lb/in². Test the following hypothesis against its alternative at the significance level a = 0.05: 120, Ha > 120. Ho: