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Ira Lisetskai [31]
3 years ago
11

How does the mean absolute deviation (MAD) of the data in set 1 compare to the mean absolute deviation of the data in set 2?

Mathematics
2 answers:
rodikova [14]3 years ago
7 0
The answer is The MAD of set 1 is 5 less than the MAD of set 2
Crazy boy [7]3 years ago
6 0

Answer:

The answer is The MAD of set 1 is 5 less than the MAD of set 2.

Step-by-step explanation:

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What is the volume of the rectangular prism shown?
rjkz [21]

Answer:

18 3/64

Step-by-step explanation:

i did test trust me

6 0
3 years ago
Whats the fraction 18/24 reduced to its lowest items?
asambeis [7]
Hello!

\sf Answer:

The fraction 18/24, reduced to its lowest terms, is: \boxed{3/4}
_____________________________

Divide both the numerator and the denominator by the GCD of 18 and 24, which is 6:

18 ÷ 6 = 3

24 ÷ 6 = 4

It's simplest form would be 3/4. This cannot be reduced further.
3 0
4 years ago
Sketch the graph of each line.<br> 1) y = -x +3<br> toto 4 3 2 1
seropon [69]

Answer:

I can't draw the graph for you here, but the y intercept is 3, and the slope is -1.

Step-by-step explanation:

First you plot a point on the y axis at 0,-3

Then you want to do a rise over run, doing -1,1 until you get enough points to graph the line.

6 0
4 years ago
About 10% of people in the United States are left handed. Suppose we take a sample of 120 U.S. Residents, and let X = the number
olganol [36]

Answer:

1) E(X) = np = 120*0.1 =12

SD(X) = \sqrt{np(1-p)}= \sqrt{120*0.1*(1-0.1)} =3.286

For this case we can interpret that the expected variation around the mean is about 3.3 people approximated

2) P(X\geq 16)

And we can use the normal approximation given by:

X \sim N(12, \sigma =3.286)

And we can use the z score formula given by:

z = \frac{X -\mu}{\sigma}

And if we find the z score for 16 we got:

z = \frac{16-12}{3.286}= 1.217

And we can find this probability using the normal standard distribution or excel and we got:

P(Z>1.217) = 0.112

3) For this case we can conclude that the probability to find 16 or more individuals left handed in a sample of 120 is about 0.112 or 11.2%

Step-by-step explanation:

Let X represent the random variable for the number of residents who are left handed

And for this case we can model this variable with this distirbution:

X\sim Binom(n= 120 , p =0.1)

Part 1

The mean is given by:

E(X) = np = 120*0.1 =12

And the deviation would be:

SD(X) = \sqrt{np(1-p)}= \sqrt{120*0.1*(1-0.1)} =3.286

For this case we can interpret that the expected variation around the mean is about 3.3 people approximated

Part 2

We want to calculate this probability:

P(X\geq 16)

And we can use the normal approximation given by:

X \sim N(12, \sigma =3.286)

And we can use the z score formula given by:

z = \frac{X -\mu}{\sigma}

And if we find the z score for 16 we got:

z = \frac{16-12}{3.286}= 1.217

And we can find this probability using the normal standard distribution or excel and we got:

P(Z>1.217) = 0.112

Part 3

For this case we can conclude that the probability to find 16 or more individuals left handed in a sample of 120 is about 0.112 or 11.2%

7 0
3 years ago
15 trading cards he wants to give to 5 friends. Each friend gets same number of trading cards
earnstyle [38]

Answer:

Each friend gets 3 cards

Step-by-step explanation:

Divide 15 by 5 since he is splitting 15 cards with 5 friends.

:D

6 0
3 years ago
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