Homework Answers
X is a random variable. Over the 'n' instances, values observed are x1, x2,.......xn
Therefore, xi = Observed value of the random variable X at i'th trial. (1<=i<=n)
f is the pmf (probability mass function ) of the random variable X, that is f(x) = P(X=x), the probability that the X takes value x
F is the CDF ( comulative distribution function ).
F(x) = Probability that the X takes values less than or equal to x that is P(X<=x)
F(x) = sum(f(xi)
Sum is over 'i' such that xi <= x
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I am trying to fill out the table and find out what does F and
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5. Let X be a discrete random variable. The following table shows its possible values r...
5. Let X be a discrete random variable. The following table shows its possible values r and the associated probabilities P(X -f(x) 013 (a) Verify that f(x) is a probability mass function (b) Calculate P(X < 1), P(X < 1), and P(X < 0.5 or X > 2). (c) Find the cumulative distribution function of X ompute the mean and the variance of
Find mean and variance of a random variable whose probability density function is given by f(x)...
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The moment generating function ф(t) of random variable X is defined for all values of t by et*p(x), if X is discrete e f (x)dx, if X is continus (a) Find the moment generating function of a Binomial random variable X with parameters n (the total number of trials) and p (the probability of success). (b) If X and Y are independent Binomial random variables with parameters (n1 p) and (n2, p), respectively, then what is the distribution of X...
5. Let X be a discrete random variable. The following table shows its possible values associated...
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sc I The discrete random variable X has the following probability mass function: P(X = x) = kx for the values of x = 2,4 and 5 only. Find the i. value of k. expected value and the variance of X. iii. cumulative distribution function of X, F(x).
2. The random variable, X has the following probability mass function (i) Find the value of...
2. The random variable, X has the following probability mass function (i) Find the value of the constant c. HINT: It will help to use the identity = (i) Find the cumulative distribution function of X and sketch both the probability mass function and the cumulative distribution function NOTE: Think carefully about the values of r for which you need to define the distribution function. (ii) Calculate P(X 2 50) and PX 2 50 x2 40
I. The random variables X,, where P(success) = P(X = 1) = p = 1-P(X = 0) for1,2,..., represent a ...
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how to answer this question？ The probability mass function (pmf) for the Poisson distribution can be...
how
to answer this question？
The probability mass function (pmf) for the Poisson distribution can be regarded as a limiting form of the binomial pmf if n o and p 0 with np = fi constant. (a) Suppose that 1% of all transistors produced by a certain company are defective. 100 of these chips are selected from the assembly line, Calculate the probability that exactly three of the chips are defective using both a binomial distribution and a Poisson distribution....
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The moment generating function ф(t) of random variable X is defined for all values of t by et*p(x), if X is discrete e f (x)dx, if X is continus (a) Find the moment generating function of a Binomial random variable X with parameters n (the total number of trials) and p (the probability of success). (b) If X and Y are independent Binomial random variables with parameters (n1 p) and (n2, p), respectively, then what is the distribution of X...
5. Let X be a discrete random variable. The following table shows its possible values associated probabilities P(X)( and the f(x) 2/8 3/8 2/8 1/8 (a) Verify that f(x) is a probability mass function. (b) Calculate P(X < 1), P(X 1), and P(X < 0.5 or X >2) (c) Find the cumulative distribution function of X. (d) Compute the mean and the variance of X.
sc I The discrete random variable X has the following probability mass function: P(X = x) = kx for the values of x = 2,4 and 5 only. Find the i. value of k. expected value and the variance of X. iii. cumulative distribution function of X, F(x).
2. The random variable, X has the following probability mass function (i) Find the value of the constant c. HINT: It will help to use the identity = (i) Find the cumulative distribution function of X and sketch both the probability mass function and the cumulative distribution function NOTE: Think carefully about the values of r for which you need to define the distribution function. (ii) Calculate P(X 2 50) and PX 2 50 x2 40
I. The random variables X,, where P(success) = P(X = 1) = p = 1-P(X = 0) for1,2,..., represent a series of independent Bernoulli trials. Let the random variable Y be the trial number on which the first success is achieved (a) Explain why the probability mass function of Y is f(y) = pqy-1, y = 12. where q 1- p. State the distribution of Y. 2 part of your answer you should verify this is a marimum likelihood estima-...
how
to answer this question？
The probability mass function (pmf) for the Poisson distribution can be regarded as a limiting form of the binomial pmf if n o and p 0 with np = fi constant. (a) Suppose that 1% of all transistors produced by a certain company are defective. 100 of these chips are selected from the assembly line, Calculate the probability that exactly three of the chips are defective using both a binomial distribution and a Poisson distribution....
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