A poll shows that 60% of students enjoy mathematics. A random sample of 25 students showed that 80% of them enjoy mathematics. A number generator was used to simulate 25 samples from a population in which 60% of students enjoy mathematics. The results are shown in the dot plot. What is the chance of getting a sample proportion of 80% or greater?

Respuesta :

Answer:

.40

Step-by-step explanation:

i took the test

The chance of getting a sample proportion of 80% or greater is 0.0062.

What is probability?

Probability is defined as the ratio of the number of favourable outcomes to the total number of outcomes in other words the probability is the number that shows the happening of the event.

We are given that a poll shows that 60% of students enjoy mathematics.

A random sample of 25 students showed that  80% of them enjoy mathematics.

Let  = sample proportion of students who play sports

The z-score probability distribution for the sample proportion is given by;

Z  =  [tex]\dfrac{p'-p}{\sqrt{\dfrac{p'(1-p')}{n}}}[/tex]  ~ N(0,1)

where,

p' =  sample proportion of students who enjoy mathematics.  = 80%

p = population proportion of students who enjoy mathematics = 60%

n = sample of students = 20

Now, the chance of getting a sample  proportion of 80% or greater is given by = P( p'≥ 80%)

P(  p' ≥ 80%) = P( [tex]\dfrac{0.8-0.6}{\sqrt{\dfrac{0.8(1-0.6)}{25}}}[/tex]   )

P(Z ≥ 2.5) = 1 - P(Z < 2.5)

P(Z ≥ 2.5)  = 1 - 0.9938 = 0.0062

The above probability is calculated by looking at the value of x = 2.5 in the z-table which has an area of 0.9938

Hence, the chance of getting a sample proportion of 80% or greater is 0.0062.

Therefore the chance of getting a sample proportion of 80% or greater is 0.0062.

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