What can you say about the P-value?O P-value < 0.005O 0.005 < P-value < 0.010.01 < P-value < 0.0250.025 < P-value < 0.05O 0.05 < P-value < 0.10O P-value > 0.10State the conclusion in the problem context. (Use a = 0.05.)O Reject Ho. There is evidence that configuration has a significant effect on type of failure.Fail to reject Ho. There is no evidence that configuration has a significant effect on type of failure.Reject Ho. There is no evidence that configuration has a significant effect on type of failure.Fail to reject Ho. There is evidence that configuration has a significant effect on type of failure. Three different design configurations are being considered for a particular component. There are four possible failure modes for the component. An engineer obtained the following data on number of failures ineach mode for each of the three configurations. Does the configuration appear to have an effect on type of failure?1Configuration 23State the appropriate hypotheses.USE SALTO Ho: Pij *Ho: Pij P₁.P.j i=1, 2, 3; j = 1, 2, 3, 4H₂: at least one P, Pi-P.jPii= 1, 2, 3; j = 1, 2, 3, 4P.jH₂: at least one PijO Ho: PijFailure Mode2344174 1712 31 14Pi.P.jH₂: at least one pij #121Pi.P.jO Ho: Pij= P₁. P.; i = 1, 2, 3; j = 1, 2, 3, 4H₂: at least one pij P₁. P.jP₁.P.ji = 1, 2, 3; j = 1, 2, 3, 4497 125Compute the test statistic value. (Round your answer to three decimal places.)x²

Answered: Image /qna-images/answer/553bb825-f784-440b-9d0f-590963fbb158.jpg

Answered: Three different design configurations…

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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If α = .05, is this difference statistically significant?
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QUESTION 2 Mr Stat is hoping to determine if he can predict the score of a test based on the number of hours a student used to prepare. The test scores of 6 randomly picked students and number of hours they prepared are as follows: Hours 10 4 6. 10 9. Score 74 91 69 86 95 87 a) What is the explanatory variable? Hours b) What is the response variable? Score (Use y for the response variable and x for the explanatory variable.) c) What is the regression equation? (Round answer to 3 decimal places.) d) What is the correlation coefficient, r? (Write as a decimal rounded to 3 decimal places.) e) What is the coefficient of determination, r-?
A special education teacher did research on whether or not there is a relationship between the number of students in his class and the number incidents of “acting out” behaviors exhibited by the autistic students in the classroom. He collects data for a year and aggregates them by month. He obtained the statistics below, r= -.863 R2=.74 b= -1.212294 a= 131.176598 10.) How does the presence of more students affect the incidents in the class? a) as students are added the incidences increase b) as students are added the incidences decrease c) the number of students does not affect acting out d) the number of students caused more incidents How much of the variability of acting out is explained by the number of students in the class?___________
3. Two analysts were given a standard reference material (SRM) and were asked to determine its copper concentration (in mg/kg) using the EPA standard method. Each analyst was given sufficient time so they could produce as many accurate results as possible. Their results (mg/kg) were as follows: Analyst A 45.2, 47.3, 51.2, 50.4, 52.2, 48.7 (Standard error s = 2.62) Analyst B 49.4, 50.3, 51.6, 52.1, 50.9 (Standard error s = 1.06) (a) For Analyst A, is 52.2 mg/kg a possible outlier? (b) Calculate the RSD for each student; which analyst is more precise? (c) If the known concentration of copper in SRM is 49.5 mg/kg, which analyst is more accurate (without considering the deletion of outliers if any)?
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2. Who supports gun control laws more: females or males? Data were collected from a sample of 980 people. We see that 379 of the 460 females in the sample support gun control laws, while 318 of the 520 males in the sample support gun control laws. We will investigate the difference in proportions of females and males who support gun control laws. (This dataset is preloaded in Statkey.) a) What parameter are we trying to estimate? Give correct notation and a brief written description. b) What is the best point estimate for the difference in the proportions of gun control law supporters? Use correct notation and include the value. c) Find a 99% bootstrap confidence interval using the Percentile Method Include a screen shot of your StatKey output. 99% CI: d) Find a 95% bootstrap confidence interval using the Standard Error Method (show calculations based on bootstrap estimate of standard error as shown in graph from previous step): 95% CI e) Interpret the 95% confidence interval. Be sure…
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1. The incidence of cancer among phosphate mine workers and their exposure to radiation was investigated. Cancer incidence was recorded among 60 phosphate mine workers who had 0-29 working level months (WLM) of exposure, 60 phosphate mine workers who had 30-89 WLM of exposure, and 60 phosphate mine workers who had 90-120 WLM of exposure. The number of cancer incidences for each group are presented in Table 1. Table 1: Two-way Table of Counts Cancer Incidence Exposure Level Yes No Total 0-29 WLM 20 40 60 30-89 WLM 33 27 60 90-120 WLM 43 17 60 Total 96 84 180 Perform a x? test, at the 5% level of significance, whether cancer incidence rates differ between the three levels of radiation among phosphate mine workers.
7)
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The hypothesis should revolve around one of the variables collected for all subjects. Your results section should describe the general course of one subject’s response from your individual analysis and then evaluate your hypothesis for a specific collective variable. Please explain this in plain english. I dont understand the instructions. Here is a reference of the subjects.

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