Question
In: Statistics and Probability
using excel Plot the probability mass function (PMF) and the cumulative distribution function (CDF) of 3...
using excel Plot the probability mass function (PMF) and the cumulative distribution function (CDF) of 3 random variables following (1) binomial distribution [p,n], (2) a geometric distribution [p], and (3) Poisson distribution [?]. You have to consider two sets of parameters per distribution which can be chosen arbitrarily. The following steps can be followed:
Setp1: Establish two sets of parameters of the distribution: For Geometric and Poisson distributions take two values of p (p1 and p2) and take two values of [?], (?1 and ?2) respectively. For the binomial you should take two values of p and two values of n, first keep p fixed and change n, in the second keep n fixed and change p.
Step 2: Generate the random variables (at least 10 values) [column 1]
Step 3: Calculate the PMF [column 2] and CDF [column 3]
Step 4: Plot the PMF and CDF in different graphics (It is recommended to combine the graphics while changing the parameters). Comment on how the parameters values affect the distribution.
Solutions
orchestra answered 1 year agoRelated Solutions
Plot the probability mass function (PMF) and the cumulative distribution function (CDF) of 3 random variables...
Plot the probability mass function (PMF) and the cumulative
distribution function (CDF) of 3 random variables following (1)
binomial distribution [p,n], (2) a geometric distribution [p], and
(3) Poisson distribution [?]. You have to consider two sets of
parameters per distribution which can be chosen arbitrarily. The
following steps can be followed: Setp1: Establish two sets of
parameters of the distribution: For Geometric and Poisson
distributions take two values of p (p1 and p2) and take two values
of [?],...
Plot the probability mass function (PMF) and the cumulative distribution function (CDF) of 3 random variables...
Plot the probability mass function (PMF) and the cumulative
distribution function (CDF) of 3 random variables following (1)
binomial distribution [p,n], (2) a geometric distribution [p], and
(3) Poisson distribution [?]. You have to consider two sets of
parameters per distribution which can be chosen arbitrarily. The
following steps can be followed
Plot the probability mass function (PMF) and the cumulative distribution function (CDF) of 3 random variables...
Plot the probability mass function (PMF) and the cumulative
distribution function (CDF) of 3 random variables following (1)
binomial distribution [p,n], (2) a geometric distribution [p], and
(3) Poisson distribution [?]. You have to consider two sets of
parameters per distribution which can be chosen arbitrarily. The
following steps can be followed: Setp1: Establish two sets of
parameters of the distribution: For Geometric and Poisson
distributions take two values of p (p1 and p2) and take two values
of [?],...
USING EXCEL Now your task is to plot the cumulative probability density function with the information...
USING EXCEL
Now your task is to plot the
cumulative probability density function with the information given
in number 2. First, open Worksheet #3. Then enter “=” in cell A17
of your new worksheet and then click on cell A17 of your second
worksheet and hit return. Then copy cell A17 down the A column as
before.
Next, you’re to compute the cumulative probabilities for x = 0, 1,
2, …. 20, beginning in cell B17 and ending in...
Summarize key data distribution concepts including probability mass functions (PMF), probability density functions (PDF), and cumulative...
Summarize key data distribution concepts including probability
mass functions (PMF), probability density functions (PDF), and
cumulative distribution functions (CDF). Based on an organization
or any organization you are most familiar with, provide an example
of a PMF, an example of a PDF, and an example of a CDF, based on
the type of data used in the organization. How would you summarize
each of these to someone who is not familiar with each of these
functions?
Summarize key data distribution concepts including probability mass functions (PMF), probability density functions (PDF), and cumulative...
Summarize key data distribution concepts including probability
mass functions (PMF), probability density functions (PDF), and
cumulative distribution functions (CDF). Based on your organization
or any organization you are most familiar with, provide an example
of a PMF, an example of a PDF, and an example of a CDF, based on
the type of data used in the organization. How would you summarize
each of these to someone who is not familiar with each of these
functions?
Problem 3. Plot the following binomial probability functions as a function of outcome (x) using EXCEL...
Problem 3. Plot the following binomial probability functions as
a function of outcome (x) using EXCEL on the same graph, and then
comment on the effect of the value of p. a. b(x;10,0.1) b.
b(x;10,0.5) c. b(x;10,0.9)
Let X be the sum of rolling 2 dice. a) Plot the CDF and PMF of...
Let X be the sum of rolling 2 dice.
a) Plot the CDF and PMF of X.
b) Determine P(5 < X <=8 | x<=10)
c) Determine the median, mean and variance of X
d) Bonus: Compute the correlation between X and Y = the number
on the first dice.
a/Use Excel to find the discrete probability and cumulative probability of the Binomial distribution with probability...
a/Use Excel to find the discrete probability and cumulative
probability of the Binomial distribution with probability of
success p = 0.75 and n = 80. Find its mean and variance. b/Based
upon Excel chart, what can you conclude about the binomial
convergence? Hint: Use binom.dist function on Excel and sketch the
curve.
1) Define and elaborate upon the following: (a) A probability mass function (b) A cumulative distribution...
1) Define and elaborate upon the following:
(a) A probability mass function
(b) A cumulative distribution function
(c) A discrete uniform distribution
(d) A Bernoulli trial
(e) A Binomial distribution
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