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Kamila [148]
4 years ago
7

How do you work out a percentile rank of a score of 57

Mathematics
1 answer:
arlik [135]4 years ago
8 0
To do that you'll need the mean and standard deviation of all the scores.  Can you provide this info?

For example:  Supposing that the mean of these scores were 52 and the standard deviation 3.  You'd need to find the "z-score" of 57 in this case.
               57 - 52
It is  z = ------------ , or z = 5/3, or z = 1.67.
                     3

Find the area to the left of z = 1.67.  Multiply that area by 100% to find the percentile rank of the score 57.
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If 675 is 3/4 what is the the other 1/4 and how did you get it ?
SashulF [63]

Answer:

225

Step-by-step explanation:

If you divide 675 you'll get 225. 225 times 4 will be 900. But 225 times 3 will be 674. So each 1/4 will be 225.

6 0
3 years ago
Read 2 more answers
For x, y ∈ R we write x ∼ y if x − y is an integer. a) Show that ∼ is an equivalence relation on R. b) Show that the set [0, 1)
vodomira [7]

Answer:

A. It is an equivalence relation on R

B. In fact, the set [0,1) is a set of representatives

Step-by-step explanation:

A. The definition of an equivalence relation demands 3 things:

  • The relation being reflexive (∀a∈R, a∼a)
  • The relation being symmetric (∀a,b∈R, a∼b⇒b∼a)
  • The relation being transitive (∀a,b,c∈R, a∼b^b∼c⇒a∼c)

And the relation ∼ fills every condition.

∼ is Reflexive:

Let a ∈ R

it´s known that a-a=0 and because 0 is an integer

a∼a, ∀a ∈ R.

∼ is Reflexive by definition

∼ is Symmetric:

Let a,b ∈ R and suppose a∼b

a∼b ⇒ a-b=k, k ∈ Z

b-a=-k, -k ∈ Z

b∼a, ∀a,b ∈ R

∼ is Symmetric by definition

∼ is Transitive:

Let a,b,c ∈ R and suppose a∼b and b∼c

a-b=k and b-c=l, with k,l ∈ Z

(a-b)+(b-c)=k+l

a-c=k+l with k+l ∈ Z

a∼c, ∀a,b,c ∈ R

∼ is Transitive by definition

We´ve shown that ∼ is an equivalence relation on R.

B. Now we have to show that there´s a bijection from [0,1) to the set of all equivalence classes (C) in the relation ∼.

Let F: [0,1) ⇒ C a function that goes as follows: F(x)=[x] where [x] is the class of x.

Now we have to prove that this function F is injective (∀x,y∈[0,1), F(x)=F(y) ⇒ x=y) and surjective (∀b∈C, Exist x such that F(x)=b):

F is injective:

let x,y ∈ [0,1) and suppose F(x)=F(y)

[x]=[y]

x ∈ [y]

x-y=k, k ∈ Z

x=k+y

because x,y ∈ [0,1), then k must be 0. If it isn´t, then x ∉ [0,1) and then we would have a contradiction

x=y, ∀x,y ∈ [0,1)

F is injective by definition

F is surjective:

Let b ∈ R, let´s find x such as x ∈ [0,1) and F(x)=[b]

Let c=║b║, in other words the whole part of b (c ∈ Z)

Set r as b-c (let r be the decimal part of b)

r=b-c and r ∈ [0,1)

Let´s show that r∼b

r=b-c ⇒ c=b-r and because c ∈ Z

r∼b

[r]=[b]

F(r)=[b]

∼ is surjective

Then F maps [0,1) into C, i.e [0,1) is a set of representatives for the set of the equivalence classes.

4 0
3 years ago
Write an expression using multiplication and addition with a sum of 16. (PLZ HELP!!!!)
Svetach [21]
Write an expression using multiplication and addition with a sum of 16:

2 x 6 +4
7 0
3 years ago
Suppose that the weights of 5400 registered female Labrador retrievers in the United States are distributed normally with a mean
Maurinko [17]

Answer:

N= 4543 Labrador retrievers

Step-by-step explanation:

We know that the mean \mu is:

\mu = 62.5

and the standard deviation \sigma is:

\sigma=2.5

The probability that a randomly selected Labrador retriever weighs less than 65 pounds is:

P(X

We calculate the Z-score for X =65

Z = \frac{X-\mu}{\sigma}\\\\Z =\frac{65-62.5}{65}=1

So

P(X

Looking in the table for the standard normal distribution we have to:

P(Z.

Finally the amount N of Labrador retrievers that weigh less than 65 pounds is:

N = P(X

N = 0.8413*5400

N= 4543 Labrador retrievers

6 0
3 years ago
Rewrite the expression as a single logarithm: <br> log 5 - log 7
Lady bird [3.3K]

Answer:

-0.146

Step-by-step explanation:

log 5 = 0.699

log 7 = 0.845

5 0
3 years ago
Read 2 more answers
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