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gtnhenbr [62]
3 years ago
12

The final scores of students in a graduate course are distributed normally with a mean of 72 and a standard deviation of 5. What

is the probability that a student's score will be between 65 and 78?
Mathematics
1 answer:
Tcecarenko [31]3 years ago
8 0

Answer:

0.8041

Step-by-step explanation:

We know that  

μ=72  and  σ=5

and P(65<X<78)

We can determine the Z value as (X-μ)/σ

P( 65<X<78 )=P( 65-72< X-μ<78-72)

P((65-72)/5

P(65

To fine the Z values:

P (-1.4

From the standard normal tables:

P (Z

to find P ( Z<-1.4)

P ( Z

From the standard normal tables:

P ( Z

Therefore

P(-1.4

P (65

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3 years ago
Mr.Webb wants to give each of his 7 dogs no more than 10 treats. how many treats does he need? (let t= the number of treats)
Lina20 [59]

Answer:

70

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Answer:

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No more than 15 copies of a newspaper are left in the newspaper rack. Write an inequality to represent this situation.
Elza [17]

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Step-by-step explanation:

7 0
3 years ago
Find the variance of the following data. Round your answer to one decimal place. x 1 2 3 4 5 P(X=x) 0.3 0.2 0.2 0.1 0.2
Reptile [31]

The variance of a distribution is the square of the standard deviation

The variance of the data is 2.2

<h3>How to calculate the variance</h3>

Start by calculating the expected value using:

E(x) = \sum x* P(x)

So, we have:

E(x) = 1 * 0.3 + 2* 0.2 +3 * 0.2 + 4 * 0.1 + 5 * 0.2

This gives

E(x) = 2.7

Next, calculate E(x^2) using:

E(x^2) = \sum x^2* P(x)

So, we have:

E(x^2) = 1^2 * 0.3 + 2^2* 0.2 +3^2 * 0.2 + 4^2 * 0.1 + 5^2 * 0.2

E(x^2) = 9.5

The variance is then calculated as:

Var(x) = E(x^2) - (E(x))^2

So, we have:

Var(x) = 9.5 - 2.7^2

Var(x) = 2.21

Approximate

Var(x) = 2.2

Hence, the variance of the data is 2.2

Read more about variance at:

brainly.com/question/15858152

4 0
2 years ago
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