Q1: The effect of three different lubricating oils on fuel economy in truck engines is being studied. Five different truck engines are available for the study and the following fuel consumption measurements are given below. Trucks Oil 1 2 3 4 5 Total 1 50.0 63.4 48.7 32.9 51.2 246.2 2 53.5 67.5 52.0 43.5 54.0 270.5 3 51.3 59.5 48.8 40.0 51.0 250.6 ТOTAL 154.8 190.4 149.5 116.4 156.2 767.3 (50.02 + 63.4? +48.7? +.. .+48.82 +40.0² +51.1² =40280.23) a. Name the experimental design used. b. Name the factor of interest and the nuisance factors (if any). c. Analyze the data from this experiment. d. Was blocking worthwhile? e. Use LSD (a = 0.05) to compare oils. f. Which oil do you recommend? Justify your answer.

An article discussed the opening of a Market. The following data compared the prices of some kitchen staples at the new Market (group 1) and at the old Market (group 2) located 15 blocks away. ITEM                                      GROUP 1                           GROUP 2 HALF GALLON MILK 16.8 22.0 DOZEN EGGS 11.7 15.2 ORANGE JUICE (64OZ) 15.6 18.7 HEAD OF LETTUCE 16.7 15.6 1LB GROUND BEEF 17.5 20.8 6OZ TUNA 18.1 19.5 1LB APPLES 14.1 17.0 LINGUINI 21.8 19.5 SALMON STEAK 1LB 13.9 16.5 WHOLE CHICKEN PER LB 20.8 24.0 A. Using a 0.01 level of signifcance and the p-value approach, what is the p-value? And what is your conclusion? Interpret

Paul is conducting an experiment to relate fuel economy (MPG) with the amount of CO2 (grams/mile). Paul conducted an experiment on 12 different vehicle owners. Table below presents the fuel economy and CO2 emitted. Fuel economy Vs. CO2 emissions. Fuel Economy CO, emissions(g/mi) 314 (MPG) 29.2 26.5 324 28.5 312 28.1 317 28 316 24.1 344 26.1 352 25 356 23.4 381 22.8 389 22.2 399 1) Obtain a linear regression equation line for the data 2) Predict the CO emissions when the fuel economy is 24 MPG

Maple syrup is a non-negligible nutritional source of manganese. It is made from the sap of two species of maple: the sugar maple and the black maple. To see if there is a significant difference between the manganese content of these two species of maple, we measured the manganese content (in mg per 100g syrup) for a sample of sugar maples and a sample of black maples. The data is summarized by the Minitab output below: Two-sample T for Sugar Maple Black Maple group N Mean St Dev SE Mean Sugar Maple 20 Black Maple 12 3.55 0.29 Find: (i) a point estimate for ₁-2, where ₁ and 2 are the average manganese contents of the sugar maple, respectively the black maple; (ii) the standard error of X₁ - X₂. A) (i) -0.07; (ii) 0.101 C) (i) -0.26; (ii) 0.097 E) (i) -0.07; (ii) 0.035 3.29 0.22 0.049 0.084 B) (i) -0.26; (ii) 0.188 D) (i) -0.26; (ii) 0.101

In an attempt to develop a model of wine quality as judged by wine​ experts, data on alcohol content and wine quality was collected from variants of a particular wine. From a sample of 12 ​wines, a model was created using the percentages of alcohol to predict wine quality. For those​ data, SSR=19,812 and SST=30,298. Use this information to complete parts​ (a) through​ (c) below.     a. Determine the coefficient of​ determination, r2​, and interpret its meaning.   r2=enter your response here ​(Round to three decimal places as​ needed.)   Interpret the meaning of r2.   It means that enter your response here​% of the variation in ▼   alcohol content wine quality can be explained by the variation in ▼   alcohol content. wine quality. ​(Round to one decimal place as​ needed.)   b. Determine the standard error of the estimate.   SYX=enter your response here ​(Round to four decimal places as​ needed.)   c. How useful do you think this regression model is for predicting wine​…

The table presents the highway gasoline mileage performance and engine displacement for DaimlerChrysler vehicles for model year 2005 (U.S. Environmental protection Agency). Engine Displacement (in³) 215 MPG (highway) 201 196 226 226 348 226 348 148 226 122 215 215 148 500 348 165 148 148 500 148 30.8 32.5 35.4 28.1 24.4 24.1 28.5 24.2 32.8 28.0 41.3 30.0 28.2 34.1 18.7 20.3 35.1 37.9 33.8 25.9 26.4 (a) Find a 95% confidence interval for the slope. Round your answers to three decimal places (e.g. 98.765). -0.056 < B₁ ≤ -0.024 (b) Find a 95% confidence interval for the intercept. Round your answers to two decimal places (e.g. 98.76). 34.96 < ßo ≤ 43.35 (c) Find a 95% confidence interval for the mean highway gasoline mileage when the engine displacement is x = 134 in³. Round I your answers to one decimal place (e.g. 98.7). ! MY|x=134 i (d) Construct a 95% prediction interval on highway gasoline mileage when the engine displacement is x = 134 in³. Round your answers to one decimal place…

ogy O McKenzie 2nd Period 9:54- schoology.com/common-assessment-delivery/start/46101069869?action3Donresume&submissionld%=374082464 E COUNTY SCHOOLS ENTS RS COURSES GROUPS RESOURCES GRADES Classwork Rate of Change from a Table A salesperson receives a weekly salary plus a commission for each computer sold. The table shows the total pay, y, and the number of computers sold, x. Write an equation in slope-intercept form to represent this situation. Number of 4 6. 10 12 computers sold, x Total pay ($), y 550 700 850 1000 1150

A mixture of sucrose and water was heated on a hot plate, and the temperature (in °C) was recorded each minute for 20 minutes by three thermocouples. The results are shown in the following table. Time O 1 2 3 4 5 6 7 8 9 71 20 18 29 32 37 36 46 46 56 58 11 10 11231415 167 18 19 20 INR888 gege 64 72 79 84 82 87 98 103 107 103 102 T2 ON 18 22 22 25 37 46 45 44 54 64 69 65 80 74 87 93 90 100 100 103 103 T3 21 11 26 35 33 35 44 43 63 68 62 65 80 75 78 88 91 103 112 107 104 Compute the least-squares line for estimating the temperature as a function of time, using 73 as the value for temperature. (Round the ▼

The following data refers to yield of tomatoes (kg/plot) for four different levels of salinity. Salinity level here refers to electrical conductivity (EC), where the chosen levels were EC = 1.6, 3.8, 6.0, and 10.2 nmhos/cm. (Use i = 1, 2, 3, and 4 respectively.) 1.6: 59.4 53.4 56.3 63.2 58.4 3.8: 55.9 59.7 52.7 54.2 6.0: 51.7 48.2 53.9 49.0 10.2: 44.3 48.3 40.7 47.2 46.7 W23 = W 24 = W34 = USE SALT Apply the modified Tukey's method to identify significant differences among us. (Round your answers to two decimal places.) W12 = W13 = W14= Which pairs are significantly different? (Select all that apply.) Othe group and the 3.8 group the 1.6 group and the 6.0 group the 1.6 group and the 10.2 group the 3.8 group and the 6.0 group the 3.8 group and the 10.2 group O the 6.0 group and the 10.2 group There are no significant differences.