Which statement is not true for a binomial distribution with n = 10 and p = 1/20 ?

Which declaration is certainly not real for a binomial circulation with letter =
10 and p = 1/20 ? a) The suggest equals 0.5000 b) the conventional deviation is 0.6892 c) the greatest likelihood takes place when x equals 0.5000 d) The likelihood that x equals 1 is 0.3151 age) the amount of studies is equivalent to 10 f) not one associated with overhead

General assistance

Principles and explanation
Binomial circulation: In a few n separate studies, for every test in the event that possibility of success is a continuing p and possibility of failure is ; after that, the likelihood of x success and clearly problems is written by the Binomial circulation.
Needs of a binomial test tend to be the following:
• When it comes to offered test, each test features two opportunities. This is certainly, it’s profitable and failing, that are mutually unique results.
• the amount of studies within the offered test is well known beforehand, and are fixed.
• positive results associated with studies tend to be separate.
• the chances of success is unaltered for every path through the entire test.
Test percentage: In the event that percentage is calculated for test it’s referred to as test percentage and it is denoted by .

Basics

The binomial circulation could be the discrete likelihood circulation and its own likelihood is written by,

Additionally,
In which letter could be the few studies and p could be the possibility of success for every test.
The possibilities under various circumstances can be had using the treatments listed below:
• Formula for choosing the worth of is.
• Formula for choosing the worth of is .
• test percentage,
• The mean formula for binomial circulation is, .
• The formula for difference associated with binomial circulation is
• the conventional deviation formula for binomial circulation is, .

Step by step

Step one of 2

Binomial circulation with letter =10 and
The suggest is acquired below:

The typical deviation is acquired below:

The likelihood that X equals 1 is acquired below:

In line with the preceding computations choice a, b and d each one is real, and from information how many studies is equivalent to 10.

A bad choices are acquired by replacing letter and p values within the treatments of suggest, standard deviation and likelihood size purpose of the binomial circulation.

Utilize idea of binomial circulation to get the proper choice.

Step two of 2

The binomial circulation takes the discrete arbitrary factors as it’s a discrete circulation. This suggests your arbitrary adjustable x cannot use the worth 0.5000 as it’s on period scale (constant) also x takes just the integer values. Thus, the best likelihood takes place when x equals 0.5000 is certainly not real.

The declaration which is not real for a binomial circulation is ‘the greatest likelihood takes place when x equals 0.5000’.

The arbitrary adjustable x cannot use the worth 0.5 as binomial circulation could be the dicrete circulation.

Solution

The declaration which is not real for a binomial circulation is ‘the greatest likelihood takes place when x equals 0.5000’.

Solution just

The declaration which is not real for a binomial circulation is ‘the greatest likelihood takes place when x equals 0.5000’.

q=1-p
(x-u)
P(X = x) = p)*-* ;right here x = 0,1,2,…,n for 0 spsi
x! n-x)!
P( Xa)
P(x2a)-ΣΡ(x)
P(X)>
P(X)=ë>
du = 11
c = np(1-p)
o = Jnp(1-p)
du = 11
o = Jnp(1-p)
P(X==)=Which statement is not true for a binomial distribution with n =
10 and p = 1/20 ?
a) The mean equals 0.5000
b) The standard deviation is 0.6892
c) The highest probability occurs when x equals 0.5000
d) The probability that x equals 1 is 0.3151 
e) The number of trials is equal to 10
f) None of the above Which statement is not true for a binomial distribution with n =
10 and p = 1/20 ?
a) The mean equals 0.5000
b) The standard deviation is 0.6892
c) The highest probability occurs when x equals 0.5000
d) The probability that x equals 1 is 0.3151 
e) The number of trials is equal to 10
f) None of the above Which statement is not true for a binomial distribution with n =
10 and p = 1/20 ?
a) The mean equals 0.5000
b) The standard deviation is 0.6892
c) The highest probability occurs when x equals 0.5000
d) The probability that x equals 1 is 0.3151 
e) The number of trials is equal to 10
f) None of the above Which statement is not true for a binomial distribution with n =
10 and p = 1/20 ?
a) The mean equals 0.5000
b) The standard deviation is 0.6892
c) The highest probability occurs when x equals 0.5000
d) The probability that x equals 1 is 0.3151 
e) The number of trials is equal to 10
f) None of the above Which statement is not true for a binomial distribution with n =
10 and p = 1/20 ?
a) The mean equals 0.5000
b) The standard deviation is 0.6892
c) The highest probability occurs when x equals 0.5000
d) The probability that x equals 1 is 0.3151 
e) The number of trials is equal to 10
f) None of the above Which statement is not true for a binomial distribution with n =
10 and p = 1/20 ?
a) The mean equals 0.5000
b) The standard deviation is 0.6892
c) The highest probability occurs when x equals 0.5000
d) The probability that x equals 1 is 0.3151 
e) The number of trials is equal to 10
f) None of the above Which statement is not true for a binomial distribution with n =
10 and p = 1/20 ?
a) The mean equals 0.5000
b) The standard deviation is 0.6892
c) The highest probability occurs when x equals 0.5000
d) The probability that x equals 1 is 0.3151 
e) The number of trials is equal to 10
f) None of the above Which statement is not true for a binomial distribution with n =
10 and p = 1/20 ?
a) The mean equals 0.5000
b) The standard deviation is 0.6892
c) The highest probability occurs when x equals 0.5000
d) The probability that x equals 1 is 0.3151 
e) The number of trials is equal to 10
f) None of the above Which statement is not true for a binomial distribution with n =
10 and p = 1/20 ?
a) The mean equals 0.5000
b) The standard deviation is 0.6892
c) The highest probability occurs when x equals 0.5000
d) The probability that x equals 1 is 0.3151 
e) The number of trials is equal to 10
f) None of the above Which statement is not true for a binomial distribution with n =
10 and p = 1/20 ?
a) The mean equals 0.5000
b) The standard deviation is 0.6892
c) The highest probability occurs when x equals 0.5000
d) The probability that x equals 1 is 0.3151 
e) The number of trials is equal to 10
f) None of the above Which statement is not true for a binomial distribution with n =
10 and p = 1/20 ?
a) The mean equals 0.5000
b) The standard deviation is 0.6892
c) The highest probability occurs when x equals 0.5000
d) The probability that x equals 1 is 0.3151 
e) The number of trials is equal to 10
f) None of the above Which statement is not true for a binomial distribution with n =
10 and p = 1/20 ?
a) The mean equals 0.5000
b) The standard deviation is 0.6892
c) The highest probability occurs when x equals 0.5000
d) The probability that x equals 1 is 0.3151 
e) The number of trials is equal to 10
f) None of the above Which statement is not true for a binomial distribution with n =
10 and p = 1/20 ?
a) The mean equals 0.5000
b) The standard deviation is 0.6892
c) The highest probability occurs when x equals 0.5000
d) The probability that x equals 1 is 0.3151 
e) The number of trials is equal to 10
f) None of the above Which statement is not true for a binomial distribution with n =
10 and p = 1/20 ?
a) The mean equals 0.5000
b) The standard deviation is 0.6892
c) The highest probability occurs when x equals 0.5000
d) The probability that x equals 1 is 0.3151 
e) The number of trials is equal to 10
f) None of the above Which statement is not true for a binomial distribution with n =
10 and p = 1/20 ?
a) The mean equals 0.5000
b) The standard deviation is 0.6892
c) The highest probability occurs when x equals 0.5000
d) The probability that x equals 1 is 0.3151 
e) The number of trials is equal to 10
f) None of the above Which statement is not true for a binomial distribution with n =
10 and p = 1/20 ?
a) The mean equals 0.5000
b) The standard deviation is 0.6892
c) The highest probability occurs when x equals 0.5000
d) The probability that x equals 1 is 0.3151 
e) The number of trials is equal to 10
f) None of the above Which statement is not true for a binomial distribution with n =
10 and p = 1/20 ?
a) The mean equals 0.5000
b) The standard deviation is 0.6892
c) The highest probability occurs when x equals 0.5000
d) The probability that x equals 1 is 0.3151 
e) The number of trials is equal to 10
f) None of the above p*(1pyaan
(–}soo=0
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