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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4. A study considered whether daily consumption of garlic could reduce tick bites. The study used a crossover design where half of the subjects used placebo first and garlic second and half the reverse. The authors described garlic being more effective with 58 subjects and placebo being more effective with 47 subjects. Does this suggest a real difference between garlic and placebo, or are the results consistent with random variation? Complete parts a through d below. a. Identify the relevant variable and parameter. OA. The relevant variable is the population proportion, p, those for whom garlic is more effective than placebo. The parameter is whether garlic or placebo is more effective. B. The relevant variable is whether garlic or placebo is more effective, and the parameter is the population proportion, p, those for whom placebo is more effective than garlic. C. The relevant variable is whether garlic or placebo is more effective, and the parameter is the population proportion, p,…
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.
Consider the following scenario and answer the questions below: The ornithologist decided to investigate the effect of temperature on the migration of North American birds. Develop a hypothesis in the appropriate format. Identify the independent variable. Identify the dependent variable. Plan an investigation (what would she do to collect data?). Did she engage in basic science or applied science? Explain. Did she engage in inductive or deductive reasoning? Explain
Which choice would be correct? Extraneous variables that are not directly studied but may influence the DV can be statistically controlled by: a. ANOVA b. ANCOVA c. Friedman's two-way ANOVA d. MANOVA
In ongoing economic analyses, the federal government compares per capita incomes not only among different states but also for the same state at different times. Typically, what the federal government finds is that "poor" states tend to stay poor and "wealthy" states tend to stay wealthy. Would we have gotten information about the 1999 per capita income for a state (denoted by y) from its 1980 per capita income (denoted by x)? The following bivariate data give the per capita income (in thousands of dollars) for a sample of sixteen states in the years 1980 and 1999 (source: U.S. Bureau of Economic Analysis, Survey of Current Business, May 2000). The data are plotted in the scatter plot in Figure 1. Also given is the product of the 1980 per capita income and the 1999 per capita income for each of the sixteen states. (These products, written in the column labelled "xy", may aid in calculations.) Florida Nevada West Virginia Hawaii Arkansas Utah Kansas Montana North Dakota Nebraska…
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)? 5 mph Collision Damage ($) Crash Type Goliath Varmint Weasel Head-On 700 1,700 2,280 1,400 1,650 1,670 850 1,630 1,740 Slant 1,430 1,850 2,000 1,740 1,700 1,510 1,240 1,650 2,480 Rear-end 700 860 1,650 1,250 1,550 1,650 970 1,250 1,240 (b) Fill in the missing data. (Round your table of means values to 1 decimal place, SS and F values to 2 decimal places, MS values to 3 decimal places, and p-values to 4 decimal places.) Table of Means Factor 2 (Vehicle) Factor 1 (Angle) Goliath Varmint…
In a bumper test, three test vehicles of each of three types of autos were crashed into a barrier at 5 mph, and the resulting damage was estimated. Crashes were from three angles: head-on, slanted, and rear-end. The results are shown below. Research questions: Is the mean repair cost affected by crash type and/or vehicle type? Are the observed effects (if any) large enough to be of practical importance (as opposed to statistical significance)? 5 mph Collision Damage ($) Crash Type Goliath Varmint Weasel Head-On 700 1,700 2,280 1,400 1,650 1,670 850 1,630 1,740 Slant 1,430 1,850 2,000 1,740 1,700 1,510 1,240 1,650 2,480 Rear-end 700 860 1,650 1,250 1,550 1,650 970 1,250 1,240 (d) Perform Tukey multiple comparison tests. (Input the mean values within the input boxes of the first row and input boxes of the first column. Round your t-values and critical values to 2 decimal places and other answers to 1 decimal place.) Post hoc analysis for…

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