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- Respiratory Rate Researchers have found that the 95 th percentile the value at which 95% of the data are at or below for respiratory rates in breath per minute during the first 3 years of infancy are given by y=101.82411-0.0125995x+0.00013401x2 for awake infants and y=101.72858-0.0139928x+0.00017646x2 for sleeping infants, where x is the age in months. Source: Pediatrics. a. What is the domain for each function? b. For each respiratory rate, is the rate decreasing or increasing over the first 3 years of life? Hint: Is the graph of the quadratic in the exponent opening upward or downward? Where is the vertex? c. Verify your answer to part b using a graphing calculator. d. For a 1- year-old infant in the 95 th percentile, how much higher is the walking respiratory rate then the sleeping respiratory rate? e. f.Find the average rates of change of f(x)=x2+2x (a) from x1=3 to x2=2 and (b) from x1=2 to x2=0.The following table provides values of the function f(x,y). However, because of potential; errors in measurement, the functional values may be slightly inaccurately. Using the statistical package included with a graphical calculator or spreadsheet and critical thinking skills, find the function f(x,y)=a+bx+cy that best estimate the table where a, b and c are integers. Hint: Do a linear regression on each column with the value of y fixed and then use these four regression equations to determine the coefficient c. x y 0 1 2 3 0 4.02 7.04 9.98 13.00 1 6.01 9.06 11.98 14.96 2 7.99 10.95 14.02 17.09 3 9.99 13.01 16.01 19.02
- A fair coin is flipped 3 times. Let X be the number of heads in the 3 tosses, and Y be the absolute value of difference between heads and tailes. Find 1) the J.pmf for (X,Y); (2) the marginal pmf for X alone and Y alone, respectively.The joint pmf of a bivariate RV (X, Y) is given by p(x, y) = - Ska²y, x= 1,2; y = 1,2,3 otherwise where k is a constant. Find (a) the value of k, (b) the marginal PMF's of X and Y. (c) Are X and Y independent?Suppose (X, Y) is bivariate Normal, X ~ N(0,1), Y ~ N(0, 1) and Corr(X,Y)= p. Determine the best prediction for Y when X = x in terms of p. For what value of For what value of p, the best prediction for Y would be x? p, the best prediction for Y is a constant with respect to x?
- Let X and Y have the joint pdf f(x,y)= x+y , 0<=x<=1, 0<=y<=1. Find the marginal fx(x) and fy(y). Show if f(x,y) dependent. Compute mean(x), mean(y), variance (x) and variance(y)Samples of 2 units will be selected from the population whose distribution is given below, with a return and order of importance (W / R, O / I). a)Show that x̄ is a neutral estimator. b)Find V(x̄). Show that V(x̄) is equals to ϭ²/n. c)Find E(s²). Show that E(s²) is equal to ϭ². (Hint: W/R=With Replacement, O/I=Order Important)Q/Fit (y = ax² + (b/x)) to the following data: (x:1, 2, 3, 4), (y: -1.51, 0.99, 3.88, 7.66). *
- The variable X has a normal distribution with mean u = 100 and standard deviation o = 8. The variable Y has a normal distribution with mean u = 85 and standard deviation o = 6. Variables X and Y are independent. (a) Find the mean, u, and standard deviation, o, of the sum X + Y. = = (b) Find the mean, u, and standard deviation, a, of the difference X - Y. O =2.9 Give the joint (bivariate) cdf of X and Y, Fy(x, y), in tabular form. (Copy and complete this joint cdf table on your paper.) Fxy (x, y) y< 5 5sy<6 y26 x< 1 1sy<2 2sy<3 y2 3 ? ? ? ? ? ? 2.10 Use the joint cdf of X and Y, Fx y (x, y), in #2.9 to compute P(X = 2, Y = 5) (show your computation). 2.11 Give the marginal cdf of X, Fx (x).n 35. The correlation coefficient between two variables X and Y is r=0.6. If Sx= 1.50, Sy= 2, X- 10 and Y= 20, find the regression lines of : () Y on X and (i) X on Y