Question

1)Discuss how you can tell the difference between a Binomial random variable and a Poisson random variable

2)Discuss how to calculate probabilities for continuous random variables.

3)Give three interpretations for the area under a normal curve.

4)Discuss what a normal probability plot is used for
and how it is used.

Answer #1

1.The distinction between the two is that the Binomial is based on discrete events while the Poisson is based on continuous events while both calculate the number of such random events (or "successes") within a certain frame.

2.The c.d.f. can be used to compute the likelihood of a random variable between two values: P(s = X = t) = the probability ofX being between s and t. But that is equal to the likelihood that X 3will be minus the likelihood that X will be s.

3 Proportion , Probability and

4.Standard Plot Likelihood. The usual probability plot is a graphical tool used to determine whether or not a collection of adata is distributed approximately as usual. The data is plotted against a normal theoretical distribution, such that the points will form an approximate straight line.

Hope you understand the answer

Best Wishes from my side!!

True or False?
19. In a binomial distribution the random variable X is
discrete.
20. The standard deviation and mean are the same for the
standard normal distribution.
21. In a statistical study, the random variable X = 1, if the
house is colonial and X = 0 if the house is not colonial, then it
can be stated that the random variable is continuous. 22. For a
continuous distribution, P(X ≤ 10) is the same as P(X<10).
23. For...

__________ For a continuous random variable x, the area
under the probability distribution curve between any two x-values
is always _____.
Greater than 1 B) less than
zero C) equal to 1 D) in the
range zero to 1, inclusive
_________For a continuous random variable x, the total
area under the probability distribution curve of x is always
______?
Less
than1 B)
greater than
1
C) equal to
1
D) 0.5
___________ The probability that a continuous random
variable x...

A continuous random
variable X denote the time between detection of a particle with a
Geiger counter. The probability that we detect a particle within 30
seconds of starting the counter is 0.50.
The random variable X
has the "Lack of memory" property that After waiting for three
minutes without a detection, the probability of a detection in the
next 30 seconds is the same as the probability of a detection in
the 30 seconds immediately after starting the counter....

How do you find the absolute value of the largest difference
between the area of one bin in the binomial probability histogram
and the normal approximation?

(1) Generate 80 normally distributed random variables with the
mean 30 and the standard deviation 8, and store them in the vector
‘rand.vec. Then plot their empirical distribution function. (2)
Given a normal distribution with the mean 30 and the standard
deviation 8, find the two values of x that contain the middle 70%
of the normal curve area. (3) Calculate the probability for 2.5
< X < 10 in a Poisson distribution with the mean 6
use in R...

1- Find the area under the standard normal curve between z=0.76
and z=1.90.
Round your answer to four decimal places.
2- Find the area under the standard normal curve between z=-2.49
and z=-0.44.
Round your answer to four decimal places.
3- Find the area under the standard normal curve between z=-2.26
and z=1.88.
Round your answer to four decimal places.
4- Find the area under the standard normal curve to the right of
z=2.37.
Round your answer to four decimal...

Given that 1% of the population are left handed, if a random
sample of 1000 people is selected where x denotes the number of
left handed people,
a) The random variable X is (choose one)
i) Binomial
ii) hypergeometric
iii) Poisson
iv) Normal
v) Exponential
vi) Uniform
b) Give the expectation value and variance of X.
c) Find the probabilities P(X=6) and P(X≥6).
d) Which distribution from those listed in part (a) can be
used as an approximation to the...

1. Let x be a continuous random variable. What is the
probability that x assumes a single value, such as a (use numerical
value)?
2. The following are the three main characteristics of a normal
distribution.
The total area under a normal curve equals _____.
A normal curve is ___________ about the mean. Consequently, 50%
of the total area under a normal distribution curve lies on the
left side of the mean, and 50% lies on the right side of...

1.what is the difference between a period and a product
cost?
2.What is the difference between a fixed cost and a variable
cost?
3.What is the definition of the relevant range?
4.What are the 3 costs that are considered to be product
costs?
5.How do fixed and variable costs behave within the relevant
range?
6.How do we calculate the pre-determined over head rate?
7.What is the pre-determined rate used for ?
8.What is the difference between over and under applied?...

1.
the area under the normal distribution curve that lies within one
standard deviation of the mean is approxiamtely ____%.
2. for a normal distribution curve with a mean of 10 and a
standard deviation of 5, what is the range of the variable thay
defines the area under the curve correaponding to a probability of
approximately 68%?
true or false:
3. a probability can be greater than one, but not equal to
zero.
4. quartiles are used in box...

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 14 minutes ago

asked 15 minutes ago

asked 15 minutes ago

asked 30 minutes ago

asked 36 minutes ago

asked 39 minutes ago

asked 39 minutes ago

asked 39 minutes ago

asked 42 minutes ago

asked 57 minutes ago

asked 1 hour ago

asked 1 hour ago