Answer:
C.) 7 and A.) 5
Step-by-step explanation:
Constants are numbers with no variable, they have no change, they are "constant"
Coefficients are the opposite, they are the numbers that are with variables and go through some sort of change
Answer:
5. a
6. c
Step-by-step explanation:
The replacement value of a home is 132,000. The home is insured for 80% of its value. What is the amount of insurance coverage?
Answer:
105,600
Step-by-step explanation:
80% of 132,000 is 105,600, therefore this is how much the insurance will cover
Bonjour, aidez moi svp .c'est sur la 1er guerre mondiale 1914
WHAT IS THIS LANGUAGE ? PLEASE TRY TO USE ENGLISH !
Consider a continuous-time Markov chain with three states 1, 2, 3, 4, 5 and transition rates q12=1, q13 = 2, q21 = 0, q23 = 3, q31 = 0, q32 = 0. (1) Write the system of ODEs for the corresponding transition probabilities Pᵢⱼ (t) . (2) Suppose that the initial state is 1. What is the probability that after the first transition, the process X(t) enters state 2?
the probability of transitioning from state 1 to state 2 after the first transition is:
P(X(t) enters state 2 after the first transition | X(0) = 1) = 1 / 3
To write the system of ordinary differential equations (ODEs) for the transition probabilities Pᵢⱼ(t) of the given continuous-time Markov chain, we need to consider the rate at which the system transitions between different states.
Let Pᵢⱼ(t) represent the probability that the Markov chain is in state j at time t, given that it started in state i at time 0.
The ODEs for the transition probabilities can be written as follows:
dP₁₂(t)/dt = q₁₂ * P₁(t) - q₂₁ * P₂(t)
dP₁₃(t)/dt = q₁₃ * P₁(t) - q₃₁ * P₃(t)
dP₂₁(t)/dt = q₂₁ * P₂(t) - q₁₂ * P₁(t)
dP₂₃(t)/dt = q₂₃ * P₂(t) - q₃₂ * P₃(t)
dP₃₁(t)/dt = q₃₁ * P₃(t) - q₁₃ * P₁(t)
dP₃₂(t)/dt = q₃₂ * P₃(t) - q₂₃ * P₂(t)
where P₁(t), P₂(t), and P₃(t) represent the probabilities of being in states 1, 2, and 3 at time t, respectively.
Now, let's consider the second part of the question: Suppose that the initial state is 1. We want to find the probability that after the first transition, the process X(t) enters state 2.
To calculate this probability, we need to find the transition rate from state 1 to state 2 (q₁₂) and normalize it by the total rate of leaving state 1.
The total rate of leaving state 1 can be calculated as the sum of the rates to transition from state 1 to other states:
total_rate = q₁₂ + q₁₃
Therefore, the probability of transitioning from state 1 to state 2 after the first transition can be calculated as:
P(X(t) enters state 2 after the first transition | X(0) = 1) = q₁₂ / total_rate
In this case, the transition rate q₁₂ is 1, and the total rate q₁₂ + q₁₃ is 1 + 2 = 3.
Therefore, the probability of transitioning from state 1 to state 2 after the first transition is:
P(X(t) enters state 2 after the first transition | X(0) = 1) = 1 / 3
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1. For the three-part question that follows, provide your answer to each question in the given workspace.
Be sure to clearly label each part of your response as Part A, Part B, and Part C.
Part A:
Evaluate the expression 4x² when
S
5
6
Part B:
1
Evaluate the expression 4x² when x =
2
Write the answer as a mixed number if necessary.
Write the answer as a mixed number if necessary.
Part C:
Show all of your work for Parts A and B to justify your answers.
Therefore , the solution of the given problem of function comes out to be x(3x²- 15 ) + 8 / 12x² , Domain : x ∈ R : x≠ 0 and
Domain :[ -∞,0 ] U [ 0,∞].
Function is what?
According to a function's rule, every x value in the domain has one and only one range of y values. Definition. A one-to-one function exists when there is just one and only one value of x such that f(x) = y.
Here,
Part A:
=> 4/6x² - 5x²/4x
=> 8 - 15x + 3x³/12x²
=> 3x³- 15x +8 / 12x²
=> x(3x²- 15 ) + 8 / 12x²
Part B:
Domain : x ∈ R : x≠ 0
Part c:
The function domain at x= 0 Domain :[ -∞,0 ] U [ 0,∞]
Therefore , the solution of the given problem of equation comes out to be x(3x²- 15 ) + 8 / 12x² , Domain : x ∈ R : x≠ 0 and Domain :[ -∞,0 ] U [ 0,∞].
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help asap show work and no links pls
Answer:
f(1) = 2 f(3) = 8 f(t) = 2^t
Step-by-step explanation:
you just plug in the number in the parenthesis next to f to x in the equation 2^x
Solve for A or x, round to the nearest tenth.
13
11
Answer:
sin x = 0.85
Step-by-step explanation:
since,
sin x = opposite/hypotenuse
= 11 / 13
sin x = 0.85
Describe the likehood of the event given its probability .you make a free throw 70 percent of the time
IMPOSSIBLE
LIKLEY
POSSIBLE
Answer:
possible
Step-by-step explanation:
the question asks what is the likelyhood of making a free throw 70% of the time, whcih is possible beacuase you can make it, you can also miss it. there are several professional basketball players that have that percentage. but it is not likely that someone could just shoot 70 percent. so i would stick with possible
Mr.Coy receives a 80 bill for his meal. He leaves 14.30 as a tip. What percent did he leave
Answer:
around 18%
Step-by-step explanation:
14.30/80=0.17875
0.17875*100=17.875
18%
Answer:
Step-by-step explanation:
the answer is \(\frac{14.30}{80}\)=17.875%
What is the quotient of 3.55 x 106 and 7.1 x 102 expressed in scientific notation?
PLEASE HELP THIS IS FOR A TEST
Answer:
\(5\times10^3\)
Step-by-step explanation:
\(3.55\times10^6 \div 7.1 \times 10^2\)
Exponents are positive:
\(3.5.5.0.0.0.0. = 3550000\)
\(7.1.0.=710\)
\(3550000 \div 710 = 5000\)
Convert back into scientific notation:
\(5000 = 5 \times 10^3\)
\(= 5 \times10^3\)
Hope this helps.
Answer: 5 x 10^3
Step-by-step explanation:
There is a quadrilateral MNPQ in which side MN is congruent to side PQ and side NP is parallel to side MQ. The diagonal MP and the diagonal NQ intersect each other at point R. If MP = 6x − 5, QR = 3x + 1, and RN = 6, what is QN?
Answer: QN = 12
Step-by-step explanation: This quadrilateral is a paralelogram because its 2 opposite sides (NP and MQ) are parallel and the other 2 (MN and PQ) are congruent.
In paralelogram, diagonals bisect each other, which means QR = RN.
If QR = RN:
QR = 6
Then,
QN = QR + RN
QN = 6 + 6
QN = 12
The diagonal QN of quadrilateral MNPQ is QN = 12.
HELP NOW FOR MEGA POINTS
Which statement below about the graph of f(x)=-log(x+4)+2 is true?
1) f(x) has a y-intercept at (0,2)
2) −f(x) has a y-intercept at (0,2)
3) As x → ∞, f(x) → ∞.2)
4) x → −4, f(x) → ∞
SHOW WORK
Answer:
4 IS THE ANSWER MATE
Step-by-step explanation:
Absolutely, I can do that!
Let's take a look at each statement:
1) f(x) has a y-intercept at (0,2)
To find the y-intercept, we need to set x to 0 and solve for y. Plugging in x = 0 into the equation for f(x), we get:
f(0) = -log(0+4) + 2
f(0) = -log(4) + 2
f(0) = -0.602 + 2
f(0) = 1.398
Since the y-coordinate of the y-intercept is 1.398, not 2, this statement is false.
2) The function -f(x) has a y-intercept at (0,2)
Since the negative sign in front of f(x) reflects the graph of f(x) across the x-axis, we can determine the y-intercept of -f(x) by taking the opposite of the y-intercept of f(x). Since the y-intercept of f(x) is not 2, this statement is also false.
3) As x approaches positive infinity, the function f(x) approaches negative infinity.
The function f(x) is a logarithmic function with a negative coefficient, which means it approaches negative infinity as x approaches positive infinity. Therefore, this statement is true.
4) As x approaches -4 from the right, the function f(x) approaches negative infinity.
As x approaches -4 from the right, the value of f(x) becomes more and more negative without bound, which means that f(x) approaches negative infinity as x approaches -4 from the right. Therefore, this statement is also true.
In summary, statements (1) and (2) are false, while statements (3) and (4) are true.
What is the correct equation for the following table?
Answer:
B
Step-by-step explanation:
it is the only value where if you put one into the equation you will get 48
4(12)= 48
if my answer helps please mark as brainliest.
a partir del resultado obtenido ;con
Answer:
I don't understand what your asking here.
Your translation: From the result obtained; with
Step-by-step explanation:
6 cars 4 people in each car HELP I HAVE 3 minutes
Answer:
Here we have 6 cars.
And we know that there are 4 people in each car.
The question is incomplete, I assume that we want to find the total number of people in the 6 cars.
So, again, there are 6 cars, and 4 people in each one.
Then we have 6 times 4 people.
This is equal to the product between 6 and 4, which is:
6*4 = 24
There is a total of 24 people in the 6 cars.
The sail of a boat is in the shape of a right triangle. which expression shows the length, in meters, of the sail? the sail of a boat is a right triangle with an acute angle at the tip equal to 50 degrees and the side of the sail which is the hypotenuse to the right triangle is 7 meters long. 7(tan 50°) 7(sin 50°) tangent 50 degrees over 7 sine 50 degrees over 7
The expression for the length of the sail is x = 7( tan 50° ).
According to the given question.
The sail of a boat is in the shape of a right triangle.
And, the sail of a boat is a right triangle with an acute angle at the tip equal to 50 degrees and the side of the sail which is the hypotenuse to the right triangle is 7 meters long.
Now, the side that measures 7 meters would be the adjacent because its right next to the angle and its not the hypotenuse because its not the largest side
And, the side which we do not know the length to will be the opposite side because it is opposite from where the angle is.
So, we have the the measure of the adjacent side and the angle of the tip. And we have to find the expression for the length of the sail.
Let the length of the sail be x meters.
Now, in the given right angled triangle
We can say that
tan A = Opposite side/Adjacent side
⇒ tan 50° = x/7
⇒ x = 7( tan 50° )
Hence, the expression for the length of the sail is x = 7( tan 50° ).
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Please explain the Bayes' rule and the three main elements which are part of it: the prior probability, the likelihood of the evidence, and the posterior probability. This is not a mathematical equation.
Bayes' rule involves three main elements:
Prior Probability: The prior probability represents our initial belief or knowledge about the probability of an event or hypothesis before considering any new evidence. It is typically denoted as P(H), where H represents the hypothesis or event. The prior probability is based on previous experience, background information, or subjective assessments.
Likelihood of the Evidence: The likelihood is the probability of observing the given evidence (E) assuming that the hypothesis (H) is true. It is denoted as P(E|H), where P(E|H) represents the probability of the evidence E given the hypothesis H. The likelihood quantifies how well the hypothesis explains the observed data or evidence.
Posterior Probability: The posterior probability represents the updated probability of the hypothesis or event given the observed evidence. It is denoted as P(H|E), where P(H|E) represents the probability of the hypothesis H given the evidence E. The posterior probability is the main result of applying Bayes' rule and combines the prior probability with the likelihood of the evidence.
Mathematically, Bayes' rule is expressed as:
P(H|E) = (P(E|H) * P(H)) / P(E)
Here, P(H|E) is the posterior probability, P(E|H) is the likelihood, P(H) is the prior probability, and P(E) is the probability of the evidence.
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Bayes' rule involves three main elements:
Prior Probability:
The prior probability represents our initial belief or knowledge about the probability of an event or hypothesis before considering any new evidence. It is typically denoted as P(H), where H represents the hypothesis or event.
The prior probability is based on previous experience, background information, or subjective assessments.
Likelihood of the Evidence:
The likelihood is the probability of observing the given evidence (E) assuming that the hypothesis (H) is true. It is denoted as P(E|H), where P(E|H) represents the probability of the evidence E given the hypothesis H.
The likelihood quantifies how well the hypothesis explains the observed data or evidence.
Posterior Probability:
The posterior probability represents the updated probability of the hypothesis or event given the observed evidence. It is denoted as P(H|E), where P(H|E) represents the probability of the hypothesis H given the evidence E.
The posterior probability is the main result of applying Bayes' rule and combines the prior probability with the likelihood of the evidence.
Mathematically, Bayes' rule is expressed as:
P(H|E) = (P(E|H) * P(H)) / P(E)
Here, P(H|E) is the posterior probability, P(E|H) is the likelihood, P(H) is the prior probability, and P(E) is the probability of the evidence.
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After years of maintaining a steady population of 32,000, the population of a town begins to grow exponentially. After 1 year and an increase of 8% per year, the population is 34,560. Which equation can be used to predict, y, the number of people living in the town after x years
The equation which can be used to predict, y, the number of people living in the town after x years as required to be determined is;
y = {32,000(1.08)}^{x} .Wich exponential equation models the situation?It follows from the task content that the exponential equation of the form y = a(b)^x which represents the situation is to be determined.
Since the initial population is 32,000; it follows that a = 32,000.
Also, since there is an increase of 8% per year;
b = 108% = 1.08.
Therefore, the required equation which models the situation is; y = {32,000(1.08)}^{x} .
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Answer the picture in 5 minutes, please
Answer:
area of the isosceles triangle is \(60cm^{2}\)
Step-by-step explanation:
three sides are a=10, b=13, c=13
Area of Triangle:
\(\sqrt{s(s-a)(s-b)(s-c)}\)
where,
\(s=\frac{a+b+c}{2}\)
\(s=\frac{10+13+13}{2}\)
s = 18
now,
\(A = \sqrt{18(18-10)(18-13)(18-13)}\)
\(A =\sqrt{9(16)(5)(5)}\)
A = 3x4x5
\(A =60cm^{2}\)
4t^2+2 + 4t^2-2
what is the sum?
Answer: its 8t²
Step-by-step explanation:
Answer:
Sum = 8t²
Step-by-step explanation:
Let's solve the problem,
→ 4t² + 2 + 4t² - 2
→ (4t² + 4t²) + (-2 + 2)
→ 8t² + 0 = 8t²
Hence, the answer is 8t².
adam and ben each have a fair coin. adam throws it 101 times, and ben throws it 100 times. what is the probability that adam gets strictly more heads than ben?
There is a change of 1/2 for Adam to get strictly more heads than Ben.
What is meant by the term probability?Probability originally referred to potential. A random event's occurrence is the subject of this field of mathematics. The range of the value is 0 to 1. Mathematics has employed probability to foresee the frequency of various events.The likelihood that Ben will get more heads than Adam is equal to the likelihood that Ben will get more tails than Adam. (by symmetry)
If Ben and Adam each have n+1 (101) coins, then Ben will receive more heads or even more tails than B, but never both.
Considering (1) and (2), we find that there is a 50% chance that Adam will get more heads than Ben.
Thus, there is a change of 1/2 for Adam to get strictly more heads than Ben.
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for the x-values 1,2,3 and so on, the y values of a function form an arithmetic sequence that decreases in value what type of function is it
A. Decreasing linear
B. Exponential growth
C. Increasing linear
D. Exponential decay
The type of function that fits the given description is D. Exponential decay.
In an arithmetic sequence, the difference between consecutive terms remains constant. If the y-values of a function form an arithmetic sequence that decreases in value, it means that the difference between consecutive terms is negative.
Exponential decay functions exhibit a constant ratio between consecutive terms, resulting in a decreasing sequence. As the x-values increase, the y-values decrease at a consistent rate. This is represented by the formula y = ab^x, where b is a constant between 0 and 1.
In contrast, linear functions have a constant difference between consecutive terms, resulting in an arithmetic sequence. However, since the y-values are decreasing, the function cannot be linear.
Exponential growth functions, on the other hand, have a constant ratio between consecutive terms, but they result in an increasing sequence. The y-values of an exponential growth function increase as the x-values increase.
Therefore, based on the given information, the most appropriate type of function is D. Exponential decay.
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why is 0.384 lighter then 0.3798
what is a way that i can get 3x and 2x to cancel out in this problem? i need to get - 5y = -13 and + 15y = -3 alone.
problem:
3x + 5y = -13
2x + 15y= 3
Answer:
For 3x + 5y = -13 the answer is x= -13/3 + 5y/3
and for 2x + 15y=3 the answer x= 1.5 + (-15y/2)
Step-by-step:
For 3x+5y=-13 you have to add 5y on both sides. Then you have to divide by 3 on both sides and cancel out the common factor of 3. Then you would get x= 13/3 + 5y/3.
For 2x + 15y=3 you have to subtract 15y on both sides of the equation. You should have 2x=3 + (-15y). Then divide by 2 on both sides. 3 divided by 2 is 1.5 and -15y divided by 2 is -15y/2 since 2 doesn't have the same variable. so the answer should be x= 1.5 + (-15y/2).
The product of a number and is 3 Find the number.
Your answer
Carlene is selling T-shirts for a fundraiser. The T-shirts cost $20.50 each. To date, she has raised $900. Her goal is to raise more than $9,100. How many more T-shirts, x, does Carlene need to sell to reach her goal?
Answer:
the answer would be 400.
Step-by-step explanation:
9,100 - 900 = 8,200
she would need to raise 8,200 more. to know many shirts tho, we need to divide by the cost
8,200 divided by 20.50 is 400.
400 shirts.
If I'm wrong, let me know, please.
Answer:
x=400
Step-by-step explanation:
Already sold: 900/20.50=43
Needs to sell altogether:443
Needs to sell minus already sold: 443-43=400
She needs to sell 400 more shirts.
A small business owner contributes $2,000 at the end of each quarter to a retirement account that earns 10% compounded quarterly. (a) How long will it be until the account is worth at least $150,000? (Round your answer UP to the nearest quarter.) 43 quarters (b) Suppose when the account reaches $150,000, the business owner increases the contributions to $4,000 at the end of each quarter. What will the total value of the account be after 15 more years? (Round your answer to the nearest dollar.) $
After 15 more years of contributions of $4,000 at the end of each quarter, the retirement account will be worth approximately $760,514.47.
To calculate this, we need to use the formula for the future value of a lump sum. A lump sum is a one-time payment made at the beginning or end of a specific period. In this case, we're looking at the future value of the retirement account after 15 more years of contributions.
Using the given information, we can plug in the values and solve for FV:
PV = $150,000
Pmt = $4,000
r = 10%
n = 4 (since interest is compounded quarterly)
t = 15 years
First, we need to calculate the future value of the current investment of $150,000:
FV1 = $150,000 x (1 + 0.1/4)⁴ ˣ ¹⁵ = $548,534.24
Then, we can calculate the future value of the quarterly contributions of $4,000 over 15 years:
FV2 = $4,000 x [(1 + 0.1/4)⁶⁰ - 1] / (0.1/4) = $211,980.23
Finally, we can add FV1 and FV2 to get the total future value of the retirement account after 15 more years:
Total FV = FV1 + FV2 = $548,534.24 + $211,980.23 = $760,514.47
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What is the total cost of a $18,500 vehicle with a 8.5% tax rate?
Answer:
Step-by-step explanation:
18500 x 108.5=$2007250
what can 980 be divided by
Step-by-step explanation:
there are so many numbers that can be divided into 980 like 2,3,4,5 etc....
fsu statistics students' moms if there were only twenty-two students instead of fifty-two who contributed their moms' heights, what alternative assumption would we have had to make about the population of mom-heights if we wanted to use a one-sample confidence interval procedure (regardless of whether it would be z or t)? we would have had to assume that the population of mom-heights was ...
If there were only twenty-two students instead of fifty-two who contributed their moms' heights and we wanted to use a one-sample confidence interval procedure (whether it would be z or t), we would have had to assume that the population of mom-heights was normally distributed.
The one-sample confidence interval is used to estimate the true population mean based on a sample mean and standard deviation. The procedure assumes that the sample is a random sample from a normally distributed population. With a sample size of at least 30, the central limit theorem allows for the use of a z-test to construct the confidence interval. With a smaller sample size, a t-test would be more appropriate. However, the assumption of normality still needs to hold for the validity of the confidence interval.
If the sample size is smaller than 30, the assumption of normality can be replaced by the assumption of approximately normal data. This means that the data follows a distribution that is symmetric and bell-shaped, even if it is not exactly normal.
However, the validity of the confidence interval can be compromised if the data is highly skewed or contains outliers. In such cases, it may be necessary to use non-parametric methods to construct a confidence interval.
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number sets of the square root of 15
Answer:
the square root is 15=5