3. It was known that a toxic material was dumped in a river leadinginto a large salt water commercial fishing area. Civil engineerstudied the way the water carried the toxic material by measuringthe amount of the material (in parts per million) found in oystersharvested at three different locations, ranging from the estuaryout into the bay where the majority of commercial fishing wascarried out. The resulting data are given below:SiteSite Site3221151926151024202928212626261115201713241518Test whether there is a significant difference in the average parts permillion of toxic material found in oysters harvested at the three sites.Use a = 0.05.N64DN222N222

Introduction: One way ANOVA: The t-test is used to compare the equality of two population means.…

Answered: 3. It was known that a toxic material…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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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
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.
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
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Listed below are the measured radiation absorption rates ( in 5 - number summary . W/kg) corresponding to 11 cell phones . Use the given data to construct a boxplot and identify the 1.49,1.25, 1.38, 1.04, 1.46, 1.31, 1.28, 0.73, 1.41, 0.58, 1.36
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An existing urban freeway with 4 lanes in each direction has the following characteristics. Traffic data: Peak hour volume (in the peak direction): Trucks: PHF = 0.92 Geometric data: Lane width: Shoulder width: Total ramp density: Terrain: rolling 11 ft 6 ft 1.8 ramps per mile 7,210 veh/h 10% of peak hour volume Determine the LOS in the peak hour. (Assume commuter traffic and assume no RVs.) O LOS A O LOS B O LOS C O LOS D O LOS E O LOS F Show the demand flow rate (in pc/h/In), mean speed (in mi/h), and density (in pc/mi/In) for the given conditions. demand flow rate mean speed density pc/h/In mi/h pc/mi/In
Fire load (MJ/m2) is the heat energy that could be released per square meter of floor area by combustion of contents and the structure itself. The following cumulative percentages are for fire loads in a sample of 388 rooms: Value 0 150 300 450 600 750 900 Cumulative % 0 19.0 37.3 62.0 77.0 86.7 93.4 Value 1050 1200 1350 1500 1650 1800 1950 Cumulative % 95.1 97.9 98.3 99.5 99.6 99.8 100.0 What proportion of fire loads are less than 600? At least 1200? (Round your answers to three decimal places.) less than 600 at least 1200 (c) What proportion of the loads are between 600 and 1200? (Round your answer to three decimal places.)
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