A distribution is not symmetric if the tails on both ends of the density curve that represents it are close to identical. A. True B. False
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- Records show that Oliver is typically 10–30 minutes late for his shift at work. The distribution for the minutes he is late forms a consistent pattern, which can be graphed as the given uniform density curve. Oliver will get a written warning if he is more than 16 minutes late for work. What percentage of the time will Oliver get a written warning?describe the shape of the distributions below for D and Elet X and Y are two random variables with p.d.f as f(x,y)=3x2y+3yx2 0<x<1 0<x<1.find conditional density of X given Y?.Find mean mode and standard deviation of r.v Y?. Correlation between X and Y?. check that X and Y are independent or not?.
- A spinner contains the values 0 up to, but not including, 1. The outcomes of the spinner are equally likely, so the density curve is described by a uniform distribution as shown. Let X = the random number spun on the spinner. Height = 1 0 Random number Find and interpret P (0.25 ≤ X ≤ 0.85). 0.5 0.7 0.3 0.4 0.6A spinner contains the values 0 up to, but not including, 1. The outcomes of the spinner are equally likely, so the density curve is described by a uniform distribution as shown. Let X = the random number spun on the spinner. Height = 1 0 Random number What is the mean of X and the median of X? Mean = 0.25 Median = 0.5 Mean = 0.5 Median = : 0.5 Mean 0.75 Median 0.5 Mean = 0.5 Median = 0.25 Mean = 0.5 Median = 0.75 = -Below is a graph of a normal distribution with mean u = -2 and standard deviation o = 3. The shaded region represents the probability of obtaining a value from this distribution that is between -5 and -0.5. 0.4- 0.3- 0.2- .1- -5 - 0.5
- Let x denote the lifetime (in thousands of hours) of a certain type of fan used in diesel engines. The density curve of x is as pictured below. 50 € (a) Shade the area under the curve corresponding to the probability that the lifetime is at least 25,000 hours. 0 00 24 25 24 50 (b) Shade the area under the curve corresponding to the probability that the lifetime exceeds 25,000 hours. 0 50 25 00 25 50 50 ⓇO⁰ 25 25 50 50 Ⓡ0⁰ Oo 26 26 50 50 CData are obtained on the location of incidents on a 12-kilometer-long bridge. The distribution of the distance along the bridge (in kilometers) where an incident occurs is depicted in the density curve below. 12 Distance (kilometers) along the bridge where an accident occurs 12 1. The probability of an incident that occurs in any 4 kilometers long bridge segment is always distributed over any 4-kilometer interval. A. 1/3, uniformly B. 1/3, not uniformly C. 1/6, uniformly D. 1/2, not uniformly To put it another way, the probability is 2. What is P(9 < X < 12)? 1 Same as P(2 < X < 5). 2. Same as P(2 s X < 5). 3. Same as P(2 < X < 5). 4. Same as P(2 < X < 5). A. 1 B. 1 and 2 C. 2, 3, and 4 D. 1. 2. 3, and 4Suppose we have a uniform density curve whose length is 2, what would the height of the density curve have to be? Write your answer in decimal form.
- Which of the following correctly compares the tt-distribution and zz-distribution? A. For small sample sizes, the density curve of the t-distribution is not symmetric, but the density curve of the z-distribution is symmetric. B. For large sample sizes, the density curve of the t-distribution is not symmetric, but the density curve of the z-distribution is symmetric. C. The curves of both distributions are symmetric, but the height of the density curve of the t-distribution is taller than the height of the density curve of the z-distribution. D. The area under the density curve of the t-distribution is greater than the area under the density curve of the z-distribution, especially for small sample sizes. E. The density curve of the t-distribution is more spread out than the density curve of the z-distribution, especially for small sample sizes.Which of the statement is NOT true of F distributions. a. There is only one F distribution for each pair of degrees of freedom. b. The F distribution is always positively skewed. c. The exact shape of the distribution is going to be determined by two degrees of freedom. d. Under a specific circumstance, the F distribution would be normal.Let x be the amount of time (in minutes) that a particular commuter will have to wait for atrain.Suppose that the distribution is uniform and ranges between 0 and 20 minutes.a. Draw the density curve for x.b. Find the value of the height.c. What is the probability that x is more than 8 minutes?d. What is the probability that x is between 7 and 15 minutes?e. Find the value of c for which P(x < c) = 0.7.