In a bumper test, three test vehicles of each of three types of autos were crashed into a barrier at 5 mph, and the resulting damagewas estimated. Crashes were from three angles: head-on, slanted, and rear-end. The results are shown below. Research questions: Isthe mean repair cost affected by crash type and/or vehicle type? Are the observed effects (if any) large enough to be of practicalimportance (as opposed to statistical significance)?5 mph Collision Damage (S)Crash TypeGoliathHead-OnSlantRear-endb7301,420810a1,4001,7501,2607101,290,910Varmint1,7101,6101,6101,8601,7801,6708601,5601,240Weasel2,2301,6001,7302,0401,5102,4701,660Click here for the Excel Data File(a-1) Choose the correct row-effect hypotheses.a. Ho: A1 A2 A3 #0Angle means differH: All the Ajare equal to zero Angle means are the sameb. Ho: A1 A2 A3=0Angle means are the same.H: Not all the Ajare equal to zeroAngle means differ1,6201,260(8-2) Choose the correct column-effect hypotheses.a. Ho B1 B2 B3 #0Vehicle means differH: All the Bk are equal to zero Vehicle means are the sameVehicle means are the sameb. Ho: B₁ B2 B3=0H: Not all the Bk are equal to zero Vehicle means differ (a-3) Choose the correct interaction-effect hypotheses.a. Ho: Not all the ABjk are equal to zero there is an Interaction effectH₁: All the ABjk are equal to zerob. Ho: All the ABjk are equal to zeroH: Not all the ABjk are equal to zeroa(b) Fill in the missing data. (Round your table of means values to 1 decimal place, SS and Fvalues to 2 decimal places, MS values to3 decimal places, and p-values to 4 decimal places.)Factor 1 (Angle)Head-OnSlantRear-EndTotalSourceFactor 1 (Angle)Factor 2 (Vehicle)InteractionErrorTotalthere is no Interaction effectthere is no Interaction effectthere is an interaction effectTable of MeansGoliathSSFactor 2 (Vehicle)VarmintWeaselTwo-Factor ANOVA with ReplicationdfTotalMSFp-value

Goliath Varmint Weasel Head-on 730 1710 2230 1420 1610 1600 810 1610 1730 Slant 1400…

Answered: In a bumper test, three test vehicles…

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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ch 11 end. 7: In a bumper test, three test vehicles of each of three types of autos were crashed into a barrier at 5 mph, and the resulting damage was estimated. Crashes were from three angles: head-on, slanted, and rear-end. The results are shown below. Research questions: Is the mean repair cost affected by crash type and/or vehicle type? Are the observed effects (if any) large enough to be of practical importance (as opposed to statistical significance)?
Pn.n.m.
In an SPSS analysis between Race and Prestige, which one would be the IV and which one would be the DV?
The accompanying data were read from a plot (and are a subset of the complete data set) given in an article. The data represent the mean response times for a group of individuals with closed-head injury (CHI) and a matched control group without head injury on 10 different tasks. Each observation was based on a different study, and used different subjects, so it is reasonable to assume that the observations are independent. y = Study 1 2 3 4 5 6 7 8 9 10 Mean Response Time CHI 302 492 658 684 922 1044 1421 1329 1481 1815 t = Control 250 360 475 (a) Fit a linear regression model that would allow you to predict the mean response time for those suffering a closed-head injury from the mean response time on the same task for individuals with no head injury. (Round your answers to four decimal places.) 525 610 740 880 920 1010 1200 (b) Do the sample data support the hypothesis that there is a useful linear relationship between the mean response time for individuals with no head injury and the…
To examine the effect of relaxing music on math test performance, a researcher wants to compare the average math test scores of participants who completed the test with relaxing music to performance of participants who completed the same math test without music. The partially computed data collected in the study are shown below: Math Test with Music: Math Test without Music: n1 = 16 n2 = 12 M1 = 82 M2 = 78 SS1 = 150 SS2 = 140 Based on these results, is there a significant effect of relaxing music on math test performance? Use a t-test for independent samples with p < .01, 2-tails to answer this research question. Follow the steps of hypothesis testing and insert your answers below. In your calculations, round all numbers to two decimal places to avoid rounding errors. ANSWER H0: H1: Computed pooled variance sp2: Estimated standard SM1 - M2: Computed t: Critical t-value for…
The table below displays the coronary artery disease data. The response, presence of coronary artery disease (CA), is dichotomous. The explanatory variables are sex and electrocardiogram (ECG) measurement. Sex ECG Disease No Disease Total Female Low 4 11 15 Female High 10 18 Male Low 18 Male High 21 27 Calculate the Mantel-Haenszel's estimate of the common odd-ratio value between ECG and coronary artery disease status. Round the value to the second decimal place. For example, 2.3414 would be 2.34.
. Do patients with gastrointestinal issues experience more psychological distress than the general population? The DASS-21 questionnaire is a validated measure of depression, anxiety, and stress. For the general population, the mean for anxiety is µ = 4.2. Anxiety levels are calculated based on self-reported answers to questions on a scale from 0 through 42, with lower scores indicating lower anxiety. Participants with gastrointestinal issues (specifically inflammatory bowel disease, IBD) completed the DASS-21. Use the data presented below to determine whether having gastrointestinal issues like IBD significantly increases risk for anxiety. Test whether or not the performance of this sample is significantly higher than the normal population using the proper t-test. Here are the data: Anxiety scores: 12, 15, 10, 8, 10, 5, 10, 13, 4, 6 ANALYSES AND UNGRADED OPTIONAL GUIDING QUESTIONS: 1a. Identify the Indep.Variable:__ Dep.Variable:__ Is it the Hypothesis…
The phrase “Correlation does not equal causation” means: Question 30 options: there is no guarantee that a cause-and-effect relationship exists between two variables that are correlated. there is only a 30% chance that a cause-and-effect relationship exists between two variables. a cause-and-effect relationship only certainly exists when data are gathered in a specific way. a cause-and-effect relationship can only exist with ratio-level variables.
An experiment was conducted in order to determine if cerebral blood flow in human beings can be predicted from arterial oxygen tension (millimeters of mercury). Fifteen patients participated in the study, and the following data were collected: Blood Flow, Arterial Oxygen Tension, a Y 84.33 87.80 82.20 78.21 78.44 80.01 83.53 79.46 75.22 76.58 77.90 78.80 80.67 86.60 78.20 603.40 582.50 556.20 594.60 558.90 575.20 580.10 451.20 404.00 484.00 452.40 448.40 334.80 320.30 350.30 Estimate the "b" in the quadratic regression equation: y=a+bx+cx². Use 2 decimal places.
Several methods of estimating the number of seeds in soil samples have been developed by ecologists. An article gave the accompanying data on the number of seeds detected by the direct method and by the stratified method for 27 soil specimens. Specimen Direct Stratified 1 21 6 2 32 38 3 0 6 4 60 58 5 20 52 6 61 61 7 40 26 8 6 6 9 12 6 10 92 100 11 1 0 12 66 58 13 78 66 14 21 52 Specimen Direct Stratified 15 32 26 16 0 0 17 38 38 18 18 12 19 92 92 20 1 12 21 40 46 22 21 21 23 0 0 24 6 12 25 12 40 26 18 12 27 40 78 Do the data provide sufficient evidence to conclude that the mean number of seeds detected differs for the two methods? Test the relevant hypotheses using ? = 0.05. (Use ?direct − ?stratified.) Find the test statistic. (Round your answer to two decimal places.) t = Find the df. (Round your answer down to the nearest whole number.) df = Use technology to find the P-value. (Round your answer to four…
Johnson and Leone describe an experiment to investigate the warping of copper plates. The two factors studied were temperature and the copper content of the plates. The response variable was a measure of the amount of warping. The data are as follows: Temperature (°C) 50 75 100 Copper Content (%) 40 60 80 100 17 20 12 9 16 12 21 17 21 16 24 21 18 13 18 21 ZZFEHERRE 23 22 27 17 27 31 30 23 29 31 12 25 23 23 28 22 125 Source: Applied Statistics and Probability for Engineers, 6th Edition, Douglas, C. Montgomery & George, C. Runger. 1. Draw and interpret the interaction plot. ii. Is there any significant interaction between the factors? Use a = 0.05. ii. Can your interpretation in (i) be validated in (ii)? Twelve plants are randomly
The director of student services at Oxnard College is interested in whether women are less likely to attend orientation than men before they begin their coursework. A random sample of freshmen at Oxnard College were asked what their gender is and whether they attended orientation. The results of the survey are shown below: Data for Gender vs. Orientation Attendance Women Men Yes 338 No 317 349 287 What can be concluded at the a= 0.10 level of significance? For this study, we should use z-test for the difference between two population proportions a. The null and alternative hypotheses would be: Ho: p1 p2 (please enter a decimal and note that p1 and μl represent the proportion and mean for women and p2 and 2 represent the proportion and mean for men.)

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