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3 years ago

Find the median for quiz score 9 14 8 16 13 15

2 answers:

8 0

So you first have to order them least to greatest, which would be : 8 , 9 , 13, 14 , 15, 16. Since the number of numbers is even, average the 2 middle numbers. This is 13 + 14 divided by 2 or 13.5.

weeeeeb [17]3 years ago

7 0

It's 13.5 because you put them in order and then you have 13 and 14 you add them together and then divide by 2

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5*Please answer this correctly very urgent!

Vanyuwa [196]

Answer:

1 3/15 - 5/15

Step-by-step explanation:

Hope this helps. PS the / sign is supposed to be for the fraction.

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3 years ago

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You get scores of 72 and 88 on 2 science tests. You have to have an average of at least 85 to not be grounded by your parents. W

svetoff [14.1K]

Answer:

Step-by-step explanation:

72+88+95=255:3= 85

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3 years ago

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What is the difference of the rational expressions below?

Korolek [52]

Answer:

in the pic

Step-by-step explanation:

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3 years ago

Help me with these math questions........ WITH SCREENIES

Nutka1998 [239]

Answer: 6.3093

Step-by-step explanation:

$3^{\frac{x}{5}} = 4$

$ln3^{\frac{x}{5}} = ln4$

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************************************************************

Answer: 5, 3, $\frac{1}{5}$ , D

Step-by-step explanation:

a) x ≤ 0 so, f(-5) = | -5 | = 5

x ≤ 0 so, f(-3) = | -3 | = 3

x > 0 so, f(5) = $\frac{1}{5}$

b) graph D

************************************************************

Answer: $\frac{\pi}{12}$

Step-by-step explanation:

$\frac{25\pi}{12} - \frac{2\pi}{}$

= $\frac{25\pi}{12} - \frac{24\pi}{12}$

= $\frac{\pi}{12}$

7 0

4 years ago

In a particular faculty 60% of students are men and 40% are women. In a random sample of 50 students what is the probability tha

zimovet [89]

Answer:

a) The expected value is given by:

$E(X) = np = 50*0.4 = 20$

and the variance is given by:

$Var(X) =np(1-p) = 50*0.4*(1-0.4) = 12$

b) $P(X>25)= 1-P(X\leq 25)$

And we can find this probability with the following Excel code:

=1-BINOM.DIST(25,50,0.4,TRUE)

And we got:

$P(X>25)= 1-P(X\leq 25)=0.0573$

c) 1) Random sample (assumed)

2) np= 50*0.4= 20 >10

n(1-p) =50*0.6= 30>10

3) Independence (assumed)

Since the 3 conditions are satisfied we can use the normal approximation:

$X \sim N(\mu = 20 , \sigma= 3.464)$

d) $P(X>25) = 1-P(Z< \frac{25-20}{3.464}) = 1-P(z$

e) $P(X>25)= P(X>25.5) = 1-P(X \leq 25.5)$

$P(X>25)= P(X>25.5) = 1-P(X \leq 25.5)= 1-P(Z$

Step-by-step explanation:

Previous concepts

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".

Let X the random variable of interest, on this case we now that:

$X \sim Binom(n=50, p=0.4)$

The probability mass function for the Binomial distribution is given as:

$P(X)=(nCx)(p)^x (1-p)^{n-x}$

Where (nCx) means combinatory and it's given by this formula:

$nCx=\frac{n!}{(n-x)! x!}$

Part a

The expected value is given by:

$E(X) = np = 50*0.4 = 20$

and the variance is given by:

$Var(X) =np(1-p) = 50*0.4*(1-0.4) = 12$

Part b

For this case we want to find this probability:

$P(X>25)= 1-P(X\leq 25)$

And we can find this probability with the following Excel code:

=1-BINOM.DIST(25,50,0.4,TRUE)

And we got:

$P(X>25)= 1-P(X\leq 25)=0.0573$

Part c

1) Random sample (assumed)

2) np= 50*0.4= 20 >10

n(1-p) =50*0.6= 30>10

3) Independence (assumed)

Since the 3 conditions are satisfied we can use the normal approximation:

$X \sim N(\mu = 20 , \sigma= 3.464)$

Part d

We want this probability:

$P(X>25) = 1-P(Z< \frac{25-20}{3.464}) = 1-P(z$

Part e

For this case we use the continuity correction and we have this:

$P(X>25)= P(X>25.5) = 1-P(X \leq 25.5)$

$P(X>25)= P(X>25.5) = 1-P(X \leq 25.5)= 1-P(Z$

4 0

4 years ago