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3 years ago

Solve for the unknown number in the equation 22 − 8 = 17 − ________.

Mathematics

2 answers:

Tasya [4]3 years ago

5 0

Answer:

22-8=17-31

Step-by-step explanation:

31-17=14 and 22-8 equals 14

Lady bird [3.3K]3 years ago

4 0

14=17-x
-3=-x
The unknown number is X and u simplify first

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PilotLPTM [1.2K]

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3 years ago

Read 2 more answers

Help me find the surface area

lesya [120]

Step-by-step explanation:

it looks like this is a regular (right) triangular prism with 3 equal side areas and one bottom area.

the surface area of the pyramid is the sum of all 4 of these areas.

all these areas are triangles.

the area of a triangle is

baseline × height / 2

in our case

1 side area is 6×8.2/2 = 3×8.2 = 24.6 yd²

all 3 side areas together are 24.6×3 = 73.8 yd²

the bottom triangle is

6×5.2/2 = 3×5.2 = 15.6 yd²

so, the total surface area is

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2 years ago

A common blood test performed on pregnant women to screen for chromosome abnormalities in the fetus measures the human chorionic

goldfiish [28.3K]

Answer:

(a) The proportion of women who are tested, get a negative test result is 0.82.

(b) The proportion of women who get a positive test result are actually carrying a fetus with a chromosome abnormality is 0.20.

Step-by-step explanation:

The Bayes' theorem states that the conditional probability of an event E $_{i}$ , of the sample space S, given that another event A has already occurred is:

$P(E_{i}|A)=\frac{P(A|E_{i})P(E_{i})}{\sum\liits^{n}_{i=1}{P(A|E_{i})P(E_{i})}}$

The law of total probability states that, if events E₁, E₂, E₃... are parts of a sample space then for any event A,

$P(A)=\sum\limits^{n}_{i=1}{P(A|B_{i})P(B_{i})}$

Denote the events as follows:

X = fetus have a chromosome abnormality.

Y = the test is positive

The information provided is:

$P(X)=0.04\\P(Y|X)=0.90\\P(Y^{c}|X^{c})=0.85$

Using the above the probabilities compute the remaining values as follows:

$P(X^{c})=1-P(X)=1-0.04=0.96$

$P(Y^{c}|X)=1-P(Y|X)=1-0.90=0.10$

$P(Y|X^{c})=1-P(Y^{c}|X^{c})=1-0.85=0.15$

(a)

Compute the probability of women who are tested negative as follows:

Use the law of total probability:

$P(Y^{c})=P(Y^{c}|X)P(X)+P(Y^{c}|X^{c})P(X^{c})$

$=(0.10\times 0.04)+(0.85\times 0.96)\\=0.004+0.816\\=0.82$

Thus, the proportion of women who are tested, get a negative test result is 0.82.

(b)

Compute the value of P (X|Y) as follows:

Use the Bayes' theorem:

$P(X|Y)=\frac{P(Y|X)P(X)}{P(Y|X)P(X)+P(Y|X^{c})P(X^{c})}$

$=\frac{(0.90\times 0.04)}{(0.90\times 0.04)+(0.15\times 0.96)}$

$=0.20$

Thus, the proportion of women who get a positive test result are actually carrying a fetus with a chromosome abnormality is 0.20.

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3 years ago

Needhelpslovingthisproblem

Mnenie [13.5K]

Answer:

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Step-by-step explanation:

When the graph start to slope downwards or go down its decreasing. So when the hump starts to go down at (-4,0) it then starts to go up again after (-1.5,0). Hope this helps:)

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3 years ago

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zysi [14]

Answer:

120 coins our in her purse if the 2 dollar factor is made up of nickels

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3 years ago