As part of a study designed to compare hybrid and similarly equipped conventional vehicles, a group tested a variety of classes of hybrid and all-gas model cars and sport utility vehicles (SUVS). Suppose the following data show the miles-per-gallon rating obtained for twohybrid small cars, two hybrid midsize cars, two hybrid small SUVs, and two hybrid midsize SUVS; also shown are the miles per gallon obtained for eight similarly equipped conventional models.ClassТуреMPGSmall CarHybrid37Small CarConventional28Small CarHybrid44Small CarConventional32Midsize CarHybrid27Midsize CarConventional23Midsize CarHybrid32Midsize CarConventional25Small SUVHybrid28Small SUVConventional20Small SUVHybrid29Small SUVConventional21Midsize SUVHybrid22Midsize SUVConventional20Midsize SUVHybrid23Midsize SUVConventional19At the a = 0.05 level of significance, test for significant effects due to class, type, and interaction.Find the value of the test statistic for class. (Round your answer to two decimal places.)Find the p-value for class. (Round your answer to three decimal places.)p-value = State your conclusion about class.Because the p-value > a = 0.05, class is not significant.Because the p-value > a = 0.05, class is significant.Because the p-value s a = 0.05, class is significant.Because the p-value s a = 0.05, class is not significant.Find the value of the test statistic for type. (Round your answer to two decimal places.)Find the p-value for type. (Round your answer to three decimal places.)p-value =State your conclusion about type.Because the p-value s a = 0.05, type is significant.Because the p-value > a = 0.05, type is not significant.Because the p-value s a = 0.05, type is not significant.Because the p-value > a = 0.05, type is significant.Find the value of the test statistic for interaction between class and type. (Round your answer to two decimal places.)Find the p-value for interaction between class and type. (Round your answer to three decimal places.)p-value =State your conclusion about interaction between class and type.Because the p-value s a = 0.05, interaction between class and type is not significant.Because the p-value > a = 0.05, interaction between class and type is not significant.Because the p-value s a = 0.05, interaction between class and type is significant.Because the p-value > a = 0.05, interaction between class and type is significant.

we will convert given data into 2x4 table so that we can use software to calculate analysis of…

Answered: As part of a study designed to compare…

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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The manager of an auto dealership would like to develop a model the fuel consumption of various car models based on engine size. The data is presented below. Manufacturer Engine Size (litre) Fuel Consumption (litres/100km,city driving) Hyundai Accent 1.5 8.9 Toyota Echo 1.5 7.1 Hyundai Accent 1.6 8.9 Kia rio 1.6 9.3 Mazda Protege 1.6 9.3 Honda Civic 1.7 8.1 Kia Spectra 1.8 10.9 Nissan Sentra 1.8 8.3 Pontiac Vibe 1.8 8.3 Toyota Corolla 1.8 8.1 Dodge SX 2.0 2 9.3 Ford Focus 2 8.9 Hyundai Elantra 2 9.6 Mazda Protege/proteges 2 9.9 Mitsubishi Lancer 2 9.7 Suzuki Aerio 2 9.1 Volkswagen Golf 2 10.1 Volkswagen Jetta 2 10.1 Chevrolet Cavalier 2.2 10 Oldsmobile Alero 2.2 10.1 Pontiac Grand AM 2.2 10 Saturn Ion 2.2 9.9 Saturn L200 2.2 10.1 Chrysler Sebring 2.4 10.6 Honda Accord 2.4 9.6 Hyundai Sonata 2.4 10.9 Kia Magentis 2.4 10.9 Mitsubishi Galant 2.4 11.3 Toyota Camry 2.4 10.2 Nissan Altima 2.5 10.4 Nissan Sentra 2.5 10.4…
A study was carried out to determine the influence of a trace elementfound in soil on the yield of potato plants grown in that soil, defined asthe weight of potatoes produced at the end of the season. A large fieldwas divided up into 14 smaller sections for this experiment. For eachsection, the experimenter recorded the amount of the trace elementfound (in milligrams per metre squared) and the corresponding weightof the potatoes produced (in kilograms). This information is presentedin the worksheet ‘Dataset5’ in the Excel document. Define X as thetrace element amount and Y as the yield.1. Draw a scatterplot of your data set.Page 52. Calculate the coefficients of a linear equation to predict the yieldY as a function of X.3. Calculate the correlation coefficient for the paired data values.4. Set up the framework for an appropriate statistical test to establish if there is a correlation between the amount of the trace element and the yield. Explain how having the scatterplot referredto…
In the dataset, the variable "diet_new" is a dichotomous variable, 0 = plant-based diet group, and 1 = non-plant-based diet group; and the variable "exercise" indicates the average exercise time per day.
Resting heart rate varies among different people. Design an experiment and examine whether or not a particular variable (e.g. fitness level, smoking, activity, age, gender) has an effect on heart rate. Begin by making one or more observations. Then formulate a hypothesis that can be tested. Finally, design an experiment to test your hypothesis! You can use yourself and any person you can talk to including family and friends Observations: State one or more observations related to your scientific Observation(s): The Heart rate will change depending on activity Hypothesis: Generate a hypothesis and include a justification for your Hypothesis: Male that are active will have a higher hear rate than females Experiment: Describe your experiment below and state the independent and dependent variables you will be exploring. Explain any specific instructions, e.g. how it will be carried out, how any measurements are to be made, if needed, etc……
In a cohort study of pesticide exposure and cancer, a group of employees who were exposed to the pesticide and a comparative group who were not exposed were followed up for 30 years at a chemical company. Researchers found that the incidence of cancer among the exposed workers was 55.3 per 1,000. In the comparative group, the incidence of cancer was 15.7 per 1,000. Calculate the: 1. relative risk and the 2. attributable risks of exposure of exposure to pesticides and the development of cancer. Please show you calculations. For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac). B I U S Paragraph Arial ≡≡ EE X² X₂ CH H+ {} Ⓒ K + V 10pt >¶¶< +₁ ABC ✔ ✓ E A 11 "" Ω V Tx XQ 田く 52 A&A EXE
Department of Research and Development of Unilever Sdn Bhd has conducted a study to improve the quality of production line by measured the weight (in ounces) of 50 bars of soap. The results are as shown in Table 2(b). Table 2(b) Weight of soap 11 12 12 12 13 13 13 13 13 14 14 14 14 14 15 15 15 15 15 15 15 15 15 16 16 16 16 16 16 16 16 16 17 17 17 17 17 17 17 17 17 18 18 18 18 18 18 18 19 20 (1) Calculate the mean, standard deviation and variance. (ii) By using 6 of class interval, construct a histogram for this data.
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The toco toucan, the largest member of the toucan family, possesses the largest beak relative to body size of all birds. This exaggerated feature has received various interpretations, such as being a refined adaptation for feeding. However, the large surface area may also be an important mechanism for radiating heat (and hence cooling the bird) as outdoor temperature increases. Presented is the data for beak heat loss, as a percent of total body heat loss from all sources, at various temperatures in degrees Celsius. [Note: The numerical values in this problem have been modified for testing purposes.] Temperature (°C) 1515 1616 1717 1818 1919 2020 2121 2222 2323 2424 2525 2626 2727 2828 2929 3030 Percent heat loss from beak 3232 3636 3636 3333 3535 4747 5757 5151 4242 5353 4646 5252 5959 5959 6363 6262 (a) What is the equation of the least‑squares regression line for predicting beak heat loss, as a percent of total body heat loss from all sources, from temperature? (Use…
In 2015, over 30,00030,000 Americans died from opioid overdoses, and the number of inpatient stays and emergency visits to hospitals related to opiods increased dramatically compared to previous years. The National Institutes of Health (NIH) have partnered with the Healthcare Cost and Utilization Project (HCUP) to gather data on opioid-related deaths and hospitalizations. These data include information about inpatient stays, emergency department visits, age, sex, income, and opiod-related use. For a given patient admitted to a hopsital for an opioid-related event, identify which of these events are disjoint.
A traffic office in a country was in charge of a study where the safety of passengers in different types of cars was examined. Three models were examined; small cars, minivans and SUVS and six cars in each category were inspected. A special traffic accident simulator was used in the study and the pressure on the drivers' heads was measured. Umferðarastofa wanted to investigate whether there was a difference in the average pressure on the head during a collision in these three types of cars and used a variance analysis for this purpose. Failed to complete the square sum table, which can be seen below. weekend sum degree of freedom ave week sums between groups (area) 725.4 within groups (area) 178.6 XXX total Questions 1-3 deal with this study by the Traffic Authority. Question 1 What value should be given where xxx is in the table? 1 1.91 2. 2679 3. 3036.2 4. The information provided cannot be answered. Question 2 to be used to check if there is a difference in the average- What is the…
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