The article " The Ball-on-Three-Ball Test for Tensile Strength: Refined Methodology andResults for Three Hohokam Ceramic Types" (M. Beck, American Antiquity, 2002:558-569)discusses the strength of ancient ceramics. Several specimens of each of three types ofceramic were tested. The loads (in kg) required to caack the specimens are as follows:CeramicLoads (kg)TypeSacaton 15, 30, 51, 20, 17, 19, 20, 32, 17, 15, 23, 19, 15, 18,16, 22, 29, 15, 13, 1527, 18, 28, 25, 55, 21, 18, 34, 23, 30, 20, 30, 31, 25,28, 26, 17, 19, 16, 24, 19, 9, 31, 19, 27, 20, 43, 1520, 16, 20, 36, 27, 35, 66, 15, 18, 24, 21, 30, 20, 24,GilaPlainCasaGrande 23, 21, 13, 21Construct comparative boxplots for the three samples.b. How many outliers does each sample contain?c Comment on the features of the three samples.

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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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Use the following listed chest deceleration measurements (in g, where g is the force of gravity) from samples of small, midsize, and large cars. Use a 0.05 significance level to test the claim that the different size categories have the same median chest deceleration in the standard crash test. Do the data suggest that larger cars are safer? Small 43 Midsize 38 Large 33 35 53 42 37 41 42 46 44 39 45 48 35 45 49 39 First determine the null and alternative hypotheses. Choose the correct answer below. O A. Ho: The samples come from populations with means that are not all equal. H₁: 1: The samples come from populations with equal means. O B. Ho: The samples come from populations with equal means. 37 41 33 Compute the test statistic. The test statistic is (Round to three decimal places as needed.) H₁: The samples come from populations with means that are not all equal. O C. Ho: The samples come from populations with medians that are not all equal. H₁: The samples come from populations with…
d Cut EE Copy ▼ H A 0 .00Conditional Format ste EEMerge & Center 00 a0 Format Painter Formatting- Table Number Clipboard Font Alignment Styles 27 Gi 110 parts made from alloy 1 and 46 parts made from alloy 2 were subjected to stress tests. 16 parts from alloy 1 and 14 parts from alloy 2 did not pass the test. Can we reject the hypothesis that the proportion of nonpassing parts from alloy 1 is at least as large as the proportion of nonpassing parts from alloy 2 at a-0.01? Assume independent samples Question 1 For the hypothesis stated above lin terms of alloy1- alloy2): Part A What is the decision rule? Fill in only one of the following statements. If the hypothesis is one tailed: If the hypothesis is twotailed: Reject Ho if nr What is the test statistic? 匚 Part B Question 2 Find the 90% confidence interval (in terms of alloy2-alloy!) Left Endpoint = Right Endpoint Ri
Data on pull-off force (pounds) for connectors used in an automobile engine application are as follows: 79.9 75.1 78.2 74.1 73.9 75.0 77.6 77.3 73.8 74.6 75.5 74.0 74.7 75.9 72.2 73.8 74.2 78.1 75.4 76.3 75.3 76.2 74.9 78.0 75.1 76.8 If necessary, round all intermediate calculations to four decimal places (e.g. 12.3456). (a) Calculate a point estimate of the mean pull-off force of all connectors in the population (Round the answer to four decimal places (e.g. 90.2353).) (b) Calculate a point estimate of the pull-off force value that separates the weakest 50% of the connectors in the population from the strongest 50% (Express the answer to two decimal place (e.g. 90.15).) (c) Calculate the point estimate of the population variance (Round the answer to three decimal places (e.g. 3.567).) (d) Calculate the point estimate of the population standard deviation (Round the answer to two decimal places (e.g. 1.23).) (e) Calculate the standard error of the point estimate found in part (a) (Round…
Hi can you at least do a) 1 2 & 3 please
What type of test would best fit this problem?
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.
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…
Select the type of study most appropriate to the question: Researchers wish to study the effects on weight of feeding by formula versus breast milk. One of the factors to be studied is the body weight of the children at two years of age. What kind of study would be most appropriate?A) Observational B) ExperimentalC) Double-blind study D) Blinded experimental
Wild irises are beautiful flowers found throughout the United States, Canada, and northern Europe. This problem concerns the length of the sepal (leaf-like part covering the flower) of different species of wild iris. Data are based on information taken from an article by R. A. Fisher in Annals of Eugenics (Vol. 7, part 2, pp. 179 -188). Measurements of sepal length in centimeters from random samples of Iris setosa (I), Iris versicolor (II), and Iris virginica (III) are as follows below. I II III 5.7 5.1 6.5 4.7 6.2 5.1 4.7 6.6 4.7 5.8 4.9 7.5 4.6 5.2 5.3 5.3 6.2 6.2 5.4 5.8 6.4 (b) Find SSTOT, SSBET, and SSW and check that SSTOT = SSBET + SSW. (Use 3 decimal places.) SSTOT = SSBET = SSW = Find d.f.BET, d.f.W, MSBET, and MSW. (Use 4 decimal places for MSBET, and MSW.) dfBET = dfW = MSBET = MSW = Find the value of the sample F statistic. (Use 2 decimal places.)What are the degrees of freedom? (numerator) (denominator)
Wild irises are beautiful flowers found throughout the United States, Canada, and northern Europe. This problem concerns the length of the sepal (leaf-like part covering the flower) of different species of wild iris. Data are based on information taken from an article by R. A. Fisher in Annals of Eugenics (Vol. 7, part 2, pp. 179 -188). Measurements of sepal length in centimeters from random samples of Iris setosa (I), Iris versicolor (II), and Iris virginica (III) are as follows below. I II III 5.5 5.2 6.7 4.4 6.5 5.7 5.2 6.9 4.1 5.9 4.4 7.8 4.3 5.5 5.7 5.3 6.4 6.1 5.8 5.5 6.9 Shall we reject or not reject the claim that there are no differences among the population means of sepal length for the different species of iris? Use a 10% level of significance. (a) What is the level of significance? (b) Find SSTOT, SSBET, and SSW and check that SSTOT = SSBET + SSW. (Use 3 decimal places.) SSTOT = ? SSBET = ? SSW = ? Find d.f.BET, d.f.W, MSBET, and…
In a large scale study of energy conservation in single family homes, 20 homes were randomly selected from homes built in a housing development in southern England. Ten of the houses, randomly selected from the 20 houses selected for the study, were constructed with standard levels of insulation (70 mm of roof insulation and 50 mm of insulation in the walls). The other 10 houses were constructed with extra insulation (120 mm of roof insulation and 100 mm of insulation in the walls). Each house was heated with a gas furnace and energy consumption was monitored for eight years. The data shown below give annual gas consumption in MWh for each of the 20 houses. Standard Insulation Extra Insulation 13.8 15.1 17.8 13.9 18.0 15.9 17.3 17.2 16.9 15.2 19.9 13.8 13.6 11.3 17.6 13.2 15.9 18.8 12.3 14.0 Sample means Sample Standard Deviation 16.31 14.84 2.38 2.12
The table below shows head injury measurements from car crash dummies. The measurements are in head injury criterion units

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