The probability distribution for the daily sales at Michael's Co. is given below.
| Daily Sales (In $1,000s) |
Probability |
|---|---|
| 40 | 0.2 |
| 50 | 0.4 |
| 60 | 0.3 |
| 70 | 0.1 |
What is the probability of having sales of at least $50,000?
0.2
0.4
0.8
0.9
The probability distribution for the daily sales at Michael's Co. is given below. Daily Sales (In...
5. Given below are the probability distribution of two assets-X and Y States of Economy Probability MEGA BOOM BOOM NORMAL BUST MEGA BUST 0.1 0.2 0.4 Expected returns of the 2 assets (%) - X Y 50 100 40 70 30 50 10 -20 -10 -50 0.2 0.1 Which one has higher stand-alone risk? (Compute Coefficient of Variation]
Which of the following distributions is(are) valid discrete probability distribution(s)? 2. 3. 4. X p(x) X P(X) X p(x) X P(X) 0.3 0 0.3 0 0.2 0 0.1 1 0.4 1 -0.2 1 0.7 1 0.1 2 0.3 2 0.9 2 0.2 N 0.8 O All are valid O 1,3, and 4 only 1 and 4 only 1 only 4 only
1. Which of the following is a probability mass function for some probability distribution p with domain {1,2,3,4}? P(1)=0.1,P(2)=0.2,P(3)=0.3,P(4)=0.4 P(1)=0.1,P(2)=0.1,P(3)=0.3,P(4)=0.4 P(1)=0.2,P(2)=0.4,P(3)=0.3,P(4)=0.4 P(1)=-0.5,P(2)=0.8,P(3)=0.5,P(4)=0.2 2. Let X be the random variable where X is the number of heads after flipping a fair coin 50 times. What is the mean of X? 3. Suppose that one flips a fair coin 6 times. What is the probability of getting at most 2 heads? 4. Which of the following is a discrete probability distribution and...
Probability Distribution of X Value -2 -1 0 1 Probability 0.3 0.2 0.1 0.4 Given the above discrete distribution, derive an expression for MGF of X and compute E(X) and Var(X)
3. Below is a Lineweaver-Burke plot of an enzyme reaction in the presence and absence of an inhibitor. 2.4 2.3 2.2 2.1 2 1.9 1.8 1.7 1.6 1.5 1.4 1.3 1.2 1.1 1 0.9 0.8 < 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 -0.1 -0.2 -0.3 -0.4 -0.5 -0.6 -0.7 -0.8 . . . . . -1 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 O 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 1/[S]...
taiation in probability theory and statistics Variant 13 1. Discrete distribution for X is given by the following table: Probability p Value X 0.2 -10 0.3 10 0.4 30 0.1 50 Find distribution function fa) and median Me@. Calculate mathematical expectation (the mean) Mx), variance (dispersion) DA), standard error σ(X), asymmetry coefficient As(X) and excess Ex(X)
taiation in probability theory and statistics Variant 13 1. Discrete distribution for X is given by the following table: Probability p Value X 0.2 -10 0.3 10 0.4 30 0.1 50 Find distribution function fa) and median Me@. Calculate mathematical expectation (the mean) Mx), variance (dispersion) DA), standard error σ(X), asymmetry coefficient As(X) and excess Ex(X)
taiation in probability theory and statistics Variant 13 1. Discrete distribution for X is given by the following table: Probability p Value X 0.2 -10 0.3 10 0.4 30 0.1 50 Find distribution function fa) and median Me@. Calculate mathematical expectation (the mean) Mx), variance (dispersion) DA), standard error σ(X), asymmetry coefficient As(X) and excess Ex(X)
We are interested in determining the probability that a retail store will meet its daily revenue goal of $100. Analysis of sales history indicates that daily demand, D is random and independent of the demand on other days. Assume D follows the distribution below P(D=d) = 0.3, d=0 0.3, d=1 0.2, d=2 0.1, d=3 0.1, d=4 Furthermore, due to a complicated discount structure, the shop has determined that their revenue per day can be modeled as R(s) = −100 cos(20s)...
what are the correct values for
0,1,2,3?
Find the probability distribution for the given random variable. (Round all probabilities to four decimal places.) From a bin that contains 27 defective joysticks and 31 good ones, 3 are chosen at random; X = the number of defective joysticks chosen. х 0 1 2 3 P(X = x) 0.0149 x 0.5552 x 0.6406 x 0.2293 x Draw a histogram. P(X)=x P(X)=x P(X)=x 0.4 0.4 0.4 0.3! 0.3 0.3 0.2. 0.2 0.2 0.1...