The data found below measure the amounts of greenhouse gas emissions from three types of vehicles. The measurements are in tons per year, expressed as CO2 equivalents. Use a 0.025significance level to test the claim that the different types of vehicle have the same mean amount of greenhouse gas emissions. Based on the results, does the type of vehicle appear to affect theamount of greenhouse gas emissions?Click the icon to view the dataWhat are the hypotheses for this test?OA. Ho At least one of the means is different from the others.H₁ H₁ P₂ P₂OB HP₁ P2 P3H₁: At least one of the means is different from the othersOCHPSH₂: Hy = P₂ P3OD H₂P1 P₂ P3M₂: Hy #4₂ #HyDetermine the test statisticF- (Round to two decimal places as needed.)Identify the P-value.P-value (Round to two decimal places as needed.)What is the conclusion of the best?the null hypothesis. Conclude that the type of vehicleData TableType A6.36.47.25.35.96.36.8626.75.7PrintType B7.78.17.17.18.877878.3Type C8.38.69.59.68.69.48.7989.5Doneappear to affect the amount of greenhouse gas emissions for these three types.X

k= 3 Groups or treatment We want to perform the one way anova test here

Answered: below measure the amounts of greenhouse…

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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Lecture(8.6): In a statistic class 8 students took their pulse before and after writing a quiz to see if their mean pulse rate changed. A summary of the result is given below: Student 1 2 3 4 5 6 7 8 Pulse before: 98 87 74 75 85 96 85 70 Pulse after : 101 86 72 74 83 99 85 65 test the hypothsese at(alpha =.05) level of signifcance
The data found below measure the amounts of greenhouse gas emissions from three types of vehicles. The measurements are in tons per year, expressed as CO2 equivalents. Use a 0.025 significance level to test the claim that the different types of vehicle have the same mean amount of greenhouse gas emissions. Based on the results, does the type of vehicle appear to affect the amount of greenhouse gas emissions? A. Determine the test statistic. F= (Round to two decimal places as needed.) B. Identify the P-value. P-value= (Round to two decimal places as needed.)
An insurance investigator has observed that people with some astrological signs tend to be safer drivers than people with other signs. Using insurance records, the investigator classified 150 people according to their astrological signs and whether or not they were involved in a car accident during the previous 12 months. Do the following data indicate a significant relationship between sign and accidents? Test with a = .05. Libra Leo Gemini Accident 7 4 19 No Accident 73 46 1
Periodically, the county Water Department tests the drinking water of homeowners for contaminants such as lead and copper. The lead and copper levels in water specimens collected in 1998 for a sample of 10 residents of a subdevelopement of the county are shown below. lead (g/L) 2.9 0.2 5.1 4.2 5.5 1.2 0.133 0.774 0.214 0.671 0.444 0.234 0.357 0.761 0.176 0.888 (a) Construct a 99% confidence interval for the mean lead level in water specimans of the subdevelopment. OSMOSO copper (mg/L) 0.3 1.3 4.9 1.7 (b) Construct a 99% confidence interval for the mean copper level in water specimans of the subdevelopment. OSHSO
You wish to determine if there is a negative linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 22 20 53 25 19 30 35 23 71 26 36 21 48 25 19 28 Ho: ρ = 0Ha: ρ < 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is Greater than αα Less than (or equal to) αα The p-value leads to a decision to Accept Ho Do Not Reject Ho Reject Ho The conclusion is There is a significant linear correlation between driver age and number of driver deaths. There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. There is a significant positive linear correlation between driver age and number of driver deaths.…
The data found below measure the amounts of greenhouse gas emissions from three types of vehicles. The measurements are in tons per year, expressed as CO2 equivalents. Use a 0.025 significance level to test the claim that the different types of vehicle have the same mean amount of greenhouse gas emissions. Based on the results, does the type of vehicle appear to affect the amount of greenhouse gas emissions? Click the icon to view the data. What are the hypotheses for this test? O A. Ho: At least one of the means is different from the others. H₁ H₁ H₂ H3 OB. Ho: H₁ H₁: H1 H₂ =H3 H₂ H3 OC. Ho: H₁ H₂ H3 H₁: At least one of the means is different from the others. O D. Ho: H₁ H₂ H3 H₁: H₁ H₂ =H3 Data Table Type A 6.2 6.2 6.5 7.4 7.1 6.1 6.9 7.3 6.9 6.7 Print C Type B 7.7 7.5 8.7 8.1 8.6 8.8 8.4 8.5 Type C 8.5 9.3 9.6 9.1 9.1 9.1 9.8 9.5 9.9 Done O X
The data found below measure the amounts of greenhouse gas emissions from three types of vehicles. The measurements are in tons per year, expressed as CO2 equivalents. Use a 0.05 significance level to test the claim that the different types of vehicle have the same mean amount of greenhouse gas emissions. Based on the results, does the type of vehicle appear to affect the amount of greenhouse gas emissions? Click the icon to view the data. What are the hypotheses for this test? OA. Ho: H₁ H₂ H3 H₁: H₁ H₂ H3 OB. Ho: H₁ H₂ =H3 H₁: At least one of the means is different from the others. O C. Ho: At least one of the means is different from the others. H₁: H₁=H₂ =H3 OD. Ho: H₁ H₂ H3 H₁: H1₁ H₂ H3 Determine the test statistic. F = (Round to two decimal places as needed.) Identify the P-value. P-value= (Round to two decimal places as needed.) What is the conclusion of the test? the null hypothesis. Conclude that the type of vehicle Data Table C Type A 6.5 6.2 6.5 6.5 5.8 7.5 6.4 6.4 6.2 6.9…
Average speed on a freeway is 80 mph. Among all vehicles 65% drive 8 miles above the speed limit of 70 mph. 34 What fraction drive within ± 5 mph from the mean speed? a 0.7327 b 0.6978 c 0.6646 d 0.6330
Maps PQ Lawmaker's Trial Is.. C Home | Chegg.com M class Jose M - ilmar. V Citation Machine.8 Healthcare Spendin.. An experiment was conducted to measure the effectiveness of various feed supplements on the growth rate of chickens. A five number summary of the weights of the chicks in grams six weeks after hatching is as follows. Source: Anonymous (1948) Biometrika, 35, 214. • Min = 109 • Q1 = 194 ge rces Median = 253 Q3 = 314 Max = 413 ices 1. About percent of the chicks weigh more than 194. 2. About percent of the chicks weigh more than 253! 3. About percent of the chicks weigh more than 314. 4. About percent of the chicks weigh between 194 and 314. Submit Question ! 64°F search 144 -back 1% 6. 7
urce For a data set of chest sizes (distance around chest in inches) and weights (pounds) of eleven anesthetized bears that were measured, the linear correlation coefficient is r=0.861. Use the table available below to find the critical values of r. Based on a comparison of the linear correlation coefficient r and the critical values, what do you conclude about a linear correlation? Click the icon to view the table of critical values of r. pe here to search Table of Critical Values of r Number of Pairs of Data n 4 5 6 7 8 9 10 11 12 Print Et Critical Value of r 0.950 0.878 0.811 0.754 0.707 0.666 0.632 0.602 0.576 Done 99+ - X 3 + C More Clear all Check answer 82°F & 01

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