For the density curve below, what percentage of people weigh between 150 and 152 pounds? 0.20 0.15 Relative 0.10 - Frequency 0.05- 0.00 144 146 148 150 152 154 156 Weight (pounds)
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- the first part of the question is attached! (a) For what value of c is f(x) a valid density? (b) What is the average number of copies sold by a platinum album?Consider the density curve plotted below:Suppose a density curve has an area of 0.361 to the left of 12 and an area of 0.428 to the right of 14. What is the size of the area between 12 and 14? Explain your answer.
- The density curve shown takes the value 0.5 on the interval 0 ≤ x ≤ 2 and takes the value 0 everywhere else. Whatpercent of the observations lie between 0.5 and 1.2? (a) 25%(b) 35%(c) 50%(d) 68%(e) 70%Consider a uniform density curve defined from x = 0 to x = 8. What percent of observations fall between 1 and 7? a) 0.87 b) 0.88 c) 0.13 d) 0.75 e) 0.14 f) None of the aboveUse the following Uniform Density Curve
- Assume the graph represents the density for body weights (in lb) of cane toads, Bufo marinus. Find P (X > 3.0) and P (3.0 ≤ X ≤ 5.0).Calculate the average rate of change of the given function over the given interval. Where appropriate, specify the units of measurement. HINT [See Example 1.] Interval: [0, 2] x 0 1 2 3 f(x) −1 4 6 2The following data represent the results obtained from the specific gravity (S.G.) test performed in a soil laboratory including for sand * ?samples. Find the mode
- Assume that the variable under consideration has a density curve. The area under the density curve that lies to the right of 12 is 0.378. a. What percentage of all possible observations of the variable exceed 12? b. What percentage of all possible observations of the variable are at most 12?Which do you think will be larger, the average value of ƒ(x, y) = xy over the square 0<= x <=1, 0 <=y<=1, or the average value of ƒ over the quarter circle x2 + y2<= 1 in the first quadrant? Calculate them to find out.Calculate the average value of f (x, y) = e^(x+y) on the square [0, 1]×[0, 1].