Which of the factors and/or interactions are significant? (Click on "yes" if significant at a = 0.05 otherwise click on "no".)MaterialTemperatureMaterial*Temperature(b) Analyze the following residual plots to determine model adequacy.Based on the plot below, does the assumption of normality appear reasonable?Based on the plot below, does the assumption of constant variance appear reasonable?Normal Probability Plot ofthe Residuals(resp onse Is Ihe)-1-250ResidualNo mal Score In his book (Design and Analysis of Experiments, 5th edition, 2001 John Wiley & Sons), D. C. Montgomery presents the results of anexperiment involving a storage battery used in the launching mechanism of a shoulder-fired ground to air missile. Three material typescan be used to make the battery plates. The objective is to design a battery that is relatively unaffected by the ambient temperature.The output response from the battery is effective life in hours. Three temperature levels are selected, and a factorial experiment withfour replicates is run. The data are as follows:Temperature (°F)MaterialLowMediumHigh34 40 E1130155741808075207082 5815018815912613612210611525705845138110168 1601741201501399610482 60(a) Test the significance of the main effects and interaction using a =0.05. Round your answer to two decimal places (e.g. 98.76).Test Material:Calculate FoiTest Temperature:Calculate FoiTest Material*Temperature:Calculate Fo

Answered: Image /qna-images/answer/082405fe-67e2-4370-ab90-171df3f5ee5e.jpg

Answered: In his book (Design and Analysis of…

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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Yvon Hopps ran an experiment to determine optimum power and time settings for microwave popcorn. His goal was to find a combination of power and time that would deliver high-quality popcorn with less than 10% of the kernels left unpopped, on average. After experimenting with several bags, he determined that power 9 at 4 minutes was the best combination. To be sure that the method was successful, he popped 8 more bags of popcorn (selected at random) at this setting. The data below report the percentages of uncooked popcorn. 2.9 2.8 5.2 6.7 7.0 7.8 10.8 13.2 (a) Using a computer or calculator, calculate the sample mean and the sample standard deviation s. Clearly indicate which quantity is which using the correct symbols and round your answers to two decimal places, if necessary. (b) What percent of unpopped kernels is 3 standard deviations above the mean?
Air pollutants common in U.S. cities include fine particulate matter (PM) and ozone (O3). PM is measured as “inhalable” particles 10 micrometers in diameter or “fine inhalable” particles 2.5 micrometers in diameter. Suppose that studies show, for a particular region, that cities exceed PM2.5 standards 20% of the time and exceed ozone standards 10% of the time. Assume that PM2.5 and ozone measurements are statistically independent. A) Determine the probability that a city, selected at random, exceeds one of the standards. B) If a city exceeds the standards, what is the probability that it exceeds only the PM2.5 standard?
2. Consider an experimenter interested in whether the time it takes to respond to a visual signal is different from the time it takes to respond to an auditory signal. Ten subjects are tested with both the visual signal and with the auditory signal. (To avoid confounding with practice effects, half are in the auditory condition first and the other half are in the visual task first). The reaction times (in milliseconds) of the Visual Subject 1 Auditory 380 420 235 230 300 3 280 360 305 260 295 4 215 200 190 7 200 8 460 410 9. 345 330 10 375 380 ten subjects in the two conditions are shown on the right side.
An educational psychologist is examining response times to an on-screen stimulus. The researcher believes there might be a weak effect from age, but expects a more pronounced effect for different color contrasts. She decides to examine a black on white (B/W) combination compared to 2 alternatives: red on white (R/W) and yellow on blue (Y/B). Here is the data for response times (in milliseconds): B/W R/W Y/B 16–17 202343207163119 19227203324343 92434142020829 18–19 4020371636483818 3118102312151422 2547383338253033 20–21 2617152026382223 2029292641192731 2830194245413845 Using MS Excel, conduct a 2-way ANOVA with α=0.05α=0.05. Fill in the summary table. The last column in the table below is read as, "Partial Eta-squared " and is a concept that was NOT covered in the lectures. Partial ηη 2 is used when there is a chance the data is not independent (click here to read more if interested) Computing the values for "Partial ηη 2" is not…
The images attached has my questions.
Clean Fossil Fuels. In the article, “Squeaky Clean Fossil Fuels” (New Scientist, Vol. 186, No. 2497, p. 26), F. Pearce reported on the benefits of using clean fossil fuels that release no carbon dioxide (CO2), helping to reduce the threat of global warming. One technique of slowing down global warming caused by CO2 is to bury the CO2 underground in old oil or gas wells, coal mines, or porous rocks filled with salt water. Global estimates are that 11,000 billion tonnes of CO2 could be disposed of underground, several times more than the likely emissions of CO2 from burning fossil fuels in the coming century. This could give the world extra time to give up its reliance on fossil fuels. The following bar chart shows the distribution of space available to bury CO2 gas underground. a. Explain why the break is found in the third bar. b. Why was the graph constructed with a broken bar?
1) Malaria is a disease that destroys red blood cells (the parasite invades red blood cells, multiplies, and then infects more red blood cells). In a recent study (Kotepul, et al., 2015) looking at various blood counts, the authors found the following results. Results are in billion red blood cells / cubic mm. Note that I have deliberately modified these results (do not use R): n ̄y s Low infection 527 4.16 2.23 High infection 157 4.51 2.34 Is there a difference in red blood cell count?(Hint: please think about this before you just start working on the problem!)
Rivers in North Carolina contain small concentrations of mercury that can accumulate in fish over their lifetimes. The concentration of mercury in fish tissue can be obtained by catching fish and sending samples to a lab for analysis. A study was conducted on fish from the Waccamaw and Lumber Rivers to investigate mercury levels in tissues of largemouth bass. At several stations along each river a group of fish were caught, weighed and measured; in addition a filet from each fish was sent to a lab so that the tissue concentration of mercury could be determined. In all, 171 fish were caught at 15 different research stations along the Waccamaw and Lumber Rivers. Data from fish caught at one of these stations is shown in the followinng table: length weight 1616 47.0 48.7 1862 2855 55.7 45.2 1199 1320 44.7 1225 43.8 870 38.5 1455 45.8 1220 44.0 1033 40.4 Compute the correlation between length and weight for these fish. (Assume the correlation conditions have been satisfied and round your…
Suppose a researcher is interested in the effectiveness in a new childhood exercise program implemented in a SRS of schools across a particular county. In order to test the hypothesis that the new program decreases BMI (Kg/m2), the researcher takes a SRS of children from schools where the program is employed and a SRS from schools that do not employ the program and compares the results. Assume the following table represents the SRSs of students and their BMIs. Student Intervention Group: Group 1BMI(kg/m2)Student Control Group: Group 2BMI(kg/m2)A18.6A21.6B18.2B18.9C19.5C19.4D18.9D22.6E24.1F23.6Assuming that all the necessary conditions are met (normality, independence, etc.) carry out the appropriate statistical test to determine if the new exercise program could decrease BMI (Kg/m2). Use an alpha level of 0.05 X=BMI mu_1 (?1): mean BMI of population from which Group 1 was sampled mu_2 (?2): mean BMI of population from which Group 2 was sampled What is the P-value answer choices 0.025…
I need the Solution to Question 4. 4) Mungo’s management team is convinced that the product will be a success if 30% or more ofthe product’s target population indicate they are likely to purchase the product. Based uponyour answer in Task 3, how would you advise management regarding the potential for theproduct to be successful?
An educational psychologist is examining response times to an on-screen stimulus. The researcher believes there might be a weak effect from age, but expects a more pronounced effect for different color contrasts. She decides to examine a black on white (B/W) combination compared to 2 alternatives: red on white (R/W) and yellow on blue (Y/B). Here is the data for response times (in milliseconds): B/W R/W Y/B 16–17 213025351592110 201931234320716 42023218442534 18–19 1433242512161720 3936173735154719 2836312336234531 20–21 2718273916212423 2926412920312719 3643173928264043 Using MS Excel, conduct a 2-way ANOVA with α=0.05α=0.05. Fill in the summary table. The last column in the table below is read as, "Partial Eta-squared " and is a concept that was NOT covered in the lectures. Partial ηη 2 is used when there is a chance the data is not independent (click here to read more if interested) Computing the values for "Partial ηη 2" is not…
A research study comparing three treatment conditions produces T=20 with n=4 for the first treatment, T=10 with n=5 for the second treatment, and T=30 with n=5 for the third treatment. Calculate SSbetween treatments for this data.

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