All categories

3 years ago

Hwlppppppp me for 30 pointssss

Mathematics

2 answers:

Sati [7]3 years ago

7 0

Answer:

GCF: 2xy

Step-by-step explanation:

2x^2y = 2 * x * x * y

4xy^3 = 2 * 2 * x * y * y * y

12x^2y^2 = 2 * 2 * 3 * x * x * y * y

Each monomial has been broken up into all its factors.

Below are the common factors shown in bold.

2x^2y = 2 * x * x * y

4xy^3 = 2 * 2 * x * y * y * y

12x^2y^2 = 2 * 2 * 3 * x * x * y * y

All terms have in common one factor 2, one factor x, and one factor y.

GCF: 2xy

QveST [7]3 years ago

4 0

Answer:

have no idea i just want points

Step-by-step explanation:

sorry :(

You might be interested in

Pleaseeeeeeeee help!!!

JulijaS [17]

Answer:

The first one.

Step-by-step explanation:

The polynomial is made out of three terms so we would consider it a ”trinomial” and since it is a second degree polynomial (based on the highest degree) it would be “quadratic.”

3 0

3 years ago

The inequality 2x - 3y ≥ 5 is satisfied by point (1/2,1/3 ). True False

vovangra [49]

For this case we evaluate the following inequality in the given point and verify if it is met:

$2x-3y\geq 5$

$(x, y) = (\frac {1} {2}, \frac {1} {3})$

Substituting:

$2 \frac {1} {2} -3 \frac {1} {3}\geq5$

$1-1\geq 5\\0\geq 5$

It is not fulfilled!

The point does not satisfy the inequality

ANswer:

False

7 0

3 years ago

Read 2 more answers

A method for assessing age-related changes that combines the cross-sectional and longitudinal approaches by observing a cross se

MrRissso [65]

Answer:

a. mixed longitudinal study

True, by definition a mixed-longitudinal study is when "have defined some cohorts and these are followed for a shorter period and we can compare the precision, bias due to age and cohort effects" on the entire study. So that represent the perfect mix between longitudinal and cross sectional study.

Step-by-step explanation:

a. mixed longitudinal study

b. limited longitudinal study

This definition is not appropiate and is not usually used in the experimental designs.

c. longitudinal study

False, a longitudinal study is a design on which have "repeated observations of the same variables over short or long periods of time" and for this case we need cross sectional conditions, so for this case not applies.

d. cohort study

False, by definition a cohort study is an extesion of the longitudinal design but on this case " the samples are obtained from a cohort using cross-section intervals through time" and for this reason not applies for our case since we need a longitudinal design combined with the cross sectional design

5 0

3 years ago

A recent nationwide study investigated the value of the prostate-specific antigen (PSA) blood test for the detection of prostate

MaRussiya [10]

Answer:

Step-by-step explanation:

Remember:

Any medical test used to detect certain sicknesses have several probabilities associated with their results.

Positive (test is +) ⇒ P(+)

True positive (test is + and the patient is sick) ⇒ P(+ ∩ S)

False-positive (test is + but the patient is healthy) ⇒P(+ ∩ H)

Negative (test is -) ⇒ P(-)

True negative (test is - and the patient is healthy) ⇒ P(- ∩ H)

False-negative (test is - but the patient is sick) ⇒ P(- ∩ S)

You can arrange them in a contingency table as:

Probabilities Positive ; Negative

Sick + ∩ S ; - ∩ S S

Healthy + ∩ H ; - ∩ H H

+ - 1

The sensibility of the test is defined as the capacity of the test to detect the sickness in sick patients (true positive rate).

⇒ P(+/S) = P(+ ∩ S)

P(S)

The specificity of the test is the capacity of the test to have a negative result when the patients are truly healthy (true negative rate)

⇒ P(-/H) = P(- ∩ H)

P(H)

1) You are studying the value of the prostate-specific antigen (PSA) blood test for the detection of prostate cancer on men of 50 years of age and older.

Total 100000 men

686 men tested positive

281 of the men that tested positive had cancer

45 men that tested negative had cancer

Total - positive cases: 100000 - 686 = 99314 tested negative

; Positive ; Negative ; Total

Sick ; 281 ; 45 ; 326

Healthy ; 405 ; 99269 ; 99674

Total ; 686 ; 99314 ; 100000

Sensitivity of the test is

P(+/S) = P(+ ∩ S) = 0.00281 = 0.86

P(S) 0.00326

Where:

P(+ ∩ S) = 281/100000 = 0.00281

P(S) = 326/100000 = 0.00326

The test has an 86% probability of detecting PSA in sick patients.

Specificity of the test is

P(-/H) = P(- ∩ H) = 0.99269 = 0.995

P(H) 0.99674

Where:

P(- ∩ H)= 99269/100000= 0.99269

P(H)= 99674/100000= 0.99674

The test has a 99.5% probability of not detecting PSA in healthy patients.

Positive predictive value (PPV)

It's defined as the probability of being sick when the test is positive:

P(S/+)= P(S ∩ +) = 0.00281 = 0.04

P(+) 0.0686

Where

P(+)= 686/100000= 0.0686

There is a 4% probability of having cancer if the test is positive.

Negative predictive value (NPV)

P(H/-)= P(H ∩ -) = 0.99269 = 0.999

P(-) 0.99314

Where:

P(-)= 99314/100000= 0.99314

There is a 99.9% probability of being healthy if the test is negative.

6 to 10 are all examples of medical tests.

I hope this helps!

7 0

3 years ago

What is the answer to the problem i am very confused...

musickatia [10]

The time of takeoff of this hovercraft would be 0 seconds, as if you were starting a timer. So, if you plug in 0 for x (unit for seconds) in your equation, it will look like this:

h(0) = -3(0 - 3)² + 108
Parenthesis first
h(0) = -3(-3)² + 108
Exponents next
h(0) = -3(9) + 108
Multiplication
h(0) = -27 + 108
Combine like terms

h(0) = 81: The height of the hovercraft at the time of takeoff is 81 meters!
Hope this helps :)

7 0

3 years ago