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. Determine the test statistic F.
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- Data was collected for a sample of organic snacks. The amount of sugar (in mg) in each snack is summarized in the histogram below. Frequency 10 8 6 4 2 100 101 102 103 104 105 106 10 amount of sugar (mg) What is the frequency of 102 mg of sugar? snacksThe owner of a new car conducts a series of six gas mileage tests and obtains the following results, expressed in miles per gallon: 3., 22.7, 21.4, 20.6, and 21.4. 20.9. Find the mode for these data.The following data are collected from pregnant women to compare the Plasma ascorbic acid level of smokers and non-smokers. Table: Plasma ascorbic acid values Non-smokers 0.97, 0.72, 1.00, 0.81, 0.62, 1.32, 1.14, 1.22, 0.90, 0.74, 0.88, 0.94 Smokers 0.88, 0.71, 0.98, 0.79, 1.01, 1.16, 0.78, 1.28 Test whether there is any difference between plasma ascorbic acid levels of smokers and non-smokers. Also find 95% confidence interval for the difference of two means. Describe your findings. Use alpha=0.05 [Hint: use hypothesis, test statistics confidence interval etc.]
- The weights (in pounds) of 6 vehicles and the variability of their braking distances (in feet) when stopping on a dry surface are shown in the table. Can you conclude that there is a significant linear correlation between vehicle weight and variability in braking distance on a dry surface? Use a = 0.01. Weight, x Variability in braking distance, y 5960 5320 6500 5100 5850 4800 D 1.72 1.93 1.88 1.61 1.66 1.50 E Click here to view a table of critical values for Student's t-distribution. Setup the hypothesis for the test. Họip = 0 H:p # 0 Identify the critical value(s). Select the correct choice below and fill in any answer boxes within your choice. (Round to three decimal places as needed.) O A. The critical value is O B. The critical values are – to = and to =You wish to determine if there is a 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 0.01 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 65 27 34 27 76 24 55 34 71 21 49 24 34 36 27 19 Ho: ρ = 0Ha: ρ ≠ 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is Less than (or equal to) αα Greater than αα The p-value leads to a decision to Reject Ho Accept Ho Do Not Reject Ho The conclusion is There is a significant positive linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. There is a significant negative linear correlation between driver age and number of driver deaths. There is insufficient evidence to make a…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
- 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? Data Table O A. Ho: H1 = H2 =H3 H: At least one of the means is different from the others. Туре с O B. Ho: H1 # H2 * H3 Туре А 6.2 Type B 8.2 7.7 Hyi Hy = H2 =H3 5.8 7.3 7.6 6.2 8.4 8.8 OC. Ho: H1 = H2 = H3 H: H1 # H2 #H3 5.7 7.8 8.8 6.9 8.8 9.3 6.1 7.7 8.1 O D. Ho: At least one of the means is different from the others. 7.9 5.7 7.3 5.9 7.3 7.8 H: H1 =H2 = H3 5.6 8.1 5.6 Determine the test statistic. F = (Round to two decimal places as needed.) Print Done Identify the P-value. Click to select your answer(s).…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.…A magazine tested paints. The table below shows the overall quality score and cost in dollars per gallon. Use the rank correlation coefficient to test for a correlation between the two variables. Use a significance level of alpha equals 0.05. Based on these results, do you get better quality paint by paying more? a. Calculate the test statistic. r s equals (Round to three decimal places as needed.) b. Find the critical values. r s equals plus or minus (Round to three decimal places as needed.)
- The data below is how much money an ice cream store makes and what the max temperature was at that day. Test the claim that there is no correlation between the two. Use a significance of .05. Temp Dollars (Farenheit) made 81 4145 91 3342 98 4180 105 5121 84 2480 89 3011 94 3630 86 2777 95 3914 103 4798 91 4702 立Tourism is extremely important to the economy of Florida. Hotel occupancy is an often-reported measure of visitor volume and visitor activity (Orlando Sentinel). Hotel occupancy data for February in two consecutive years are as follows. Occupied Rooms Total Rooms Ho: P₁ P₂ #0 Ha: P1 - P2 = 0 Current Year Previous Year Ho: P1 - P2 = 0 Ha: P₁ P₂ #0 Ho: P₁ Ha: P₁ (a) Formulate the hypothesis test that can be used to determine if there has been an increase in the proportion of rooms occupied over the one-year period. (Let p₁ rooms occupied for current year and = P2 population proportion of rooms occupied for previous year.) - Ho: P₁ Ha: P₁ P₂ 0 1,750 1,440 1,800 = population proportion of