A random number generator picks a number from 18 to 64 in a
uniform manner. Round answers to 4 decimal places when
possible.
The mean of the distribution is:
The standard deviation is:
The probability that the number will be exactly 20 is P(x = 20)
=
The probability that the number will be between 24 and 26 is
P(24 < x < 26) =
The probability that the number will be larger than 32 is P(x
> 32) =...
1.) Using excel. A random number generator
picks a number from one to nine in a uniform manner.
X ~ _________
Graph the probability distribution.
f(x) = _________
μ = _________
σ = _________
P(3.5 < x < 7.25) = _________
P(x > 5.67)
P(x > 5|x > 3) =
_________
Find the 90th percentile.
2) using excel A subway train on the Red Line
arrives every eight minutes during rush hour. We are interested in
the length of time...
A
random number generator returns random floats between 0 and 1,
according to a uniform distribution. say you let the random number
generator draw 100 numbers, the sample mean will be...
A.impossible to determine, because the data aren't drawn from a
normal distribution. B.normally distributed, with mean 0.5 and
standard deviation 0.2887.
C.uniformely distributed, between 0 and 1. D.normally distributed,
with mean 0.5 and standard deviation 0.02887.
Suppose you have access to a random number generator Rng() that
generates uniform random numbers in {0, 1, . . . , n − 1}. Design a
function uses Rng() generate a uniform random number in {0, 1, . .
. , m − 1}, where m ≤ n
continuous random variable and uniform
distribution
please follow the comment. A random number generator spits out a
random real number in the range [1,4]
assume each number is equally likely being out.
what is the probability that the model output an irrational
number?
the answer is 1, but i don't understand
A computer random number generator was used to generate 950
random digits from 0 to 9. The observed frequencies of the digits
are given in the table below.
0
1
2
3
4
5
6
7
8
9
88
82
97
84
87
87
95
93
90
147
Using a 0.05significance level, test the claim that all of the
digits are equally likely.
(a) Find the rejection region.
Reject H0 if χ2>
(b) Find the test statistic. (Round your final...
Questions 36-39: Six numbers are selected at random from
a random number generator and entered into each of four rows. The
summary statistics are presented in the chart below.
Mean
SD
Row 1
5.8
0.78
Row 2
3.6
0.23
Row 3
5.5
0.32
Row 4
4.0
0.59
Assume the populations are normal with equal variances. It
is of interest to test the following:
Ho: μ1 = μ2 =
μ3 = μ4
36. What are the degrees of freedom for the...
The first random number generator comes from Python itself.
To use it you need to import the Python package. Then call the
random() method. See below.
import random
print (random.random())
It is important to know that a random number generator
really is random. If so, it should have uniform distribution
between 0 and 1. Test the random number generators in Python for
uniformity.
The following 20 observations are obtained from a random number
generator
0.48, 0.10, 0.29, 0.31, 0.86, 0.91, 0.81, 0.92, 0.27, 0.21,
0.31, 0.39, 0.39, 0.47, 0.84, 0.81, 0.97, 0.51, 0.59, 0.70
Test H0: m ≤ 0.25 against H1: m > 0.25 at α=0.01