How many of the following statements are true?
19)
a
d Any set of ordered pairs is a function.
d The domain of a relation is the set containing the first
member of its ordered pairs.
d The independent variable in a relation is the variable
used for the range.
d A function is a relation in which each domain value is
paired with exactly one range value.
A) 1
B) 2
C) 3
D) 4

The probability is P(B|A) = 1/1 = 1

We are given the following probabilities:

P(A) = 1 (Probability of event A)

P(A|B) = 1 (Probability of event A given event B)

P(A ∪ B) = 1 (Probability of the union of events A and B)

Using the definition of conditional probability, we have:

P(A|B) = P(A ∩ B) / P(B)

Since P(A) = 1 and P(A ∪ B) = 1, it implies that A and B are mutually exclusive, meaning they cannot both occur at the same time. In this case, P(A ∩ B) = 0.

Therefore, we can substitute the values into the formula:

1 = P(A|B) = P(A ∩ B) / P(B) = 0 / P(B) = 0

The probability of event B given event A, P(B|A), is equal to 0.

Given the provided information, the probability of event B given event A, P(B|A), is 0.

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Answer:

System A: C)infinite answers

System B: B)special answer (x,y)=(3,1)

Step-by-step explanation:

System A:

if we find sum of same variables, we get 5x-5x-y+y=-2+2, it means 0=0 so, this system has infinite answers.

System B:

same thing applied here,

x-x+4y+4y=7+1

8y=8

y=1

so,

x+4*1=x+4=7

x=3

The type of effectiveness MIS (Management Information System) metric among the options provided is C. Usability.

Usability is a measure of how easy and intuitive a system or application is for users to interact with and navigate. It focuses on the user experience and assesses the efficiency, effectiveness, and satisfaction of users when utilizing the system. Usability metrics can include factors such as learnability, efficiency of use, error rates, and user satisfaction.

Transaction speed (option A), system availability (option B), and throughput (option D) are not specific to effectiveness metrics. Transaction speed and throughput are typically associated with efficiency metrics, measuring the speed and rate at which transactions or processes are completed. System availability pertains to reliability metrics, measuring the uptime and accessibility of the system for users.

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Here the parameters, p =0.489 and n=15, and the probability of winning more than 8 times is  0.17946

while you playing an arcade game, there are two possible outcomes: win or lose, which is related to the binomial distribution, such as :

P= \(C_{n,k}\) \(p^{n}\) \(q^{n-k}\)

where C is the  combination, p is the probability of success and the q is the complement of the p (q=1-p) .Here we are given that the probability of winning an arcade game is 0.489 and  the probability of losing is 0.511.  So p=  0.489, since the number of the trial are 15, we need to  find the probability for more  than 8 times, which means

P(X>8)= P(X=9)+P(X=10)+P(X=11)+P(X=12)+P(X=13)+P(X=14)+P(X=15)              P(X>8)=P(X>=8)- P(X=8)  

           = 0.34328- 0.16382  

            =0.17946

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Answer:

don't know about this question

Answer:

>>> t = 3/2 - sqrt(111)/4

>>> t = 3/2 + sqrt(111)/4

Step-by-step explanation:

-16r^2 + 48t +75=0

>>> t = 3/2 - sqrt(111)/4

>>> t = 3/2 + sqrt(111)/4

Answer:

$1000

Step-by-step explanation:

So there is 10,000,000 dollars in the company for the annual employee bonus. There are 10,000 employees in this company. This seems like a simple division problem. So you divide 10,000,000 by 10,000 and you get 1,000. So with that being said each employee should receive $1,000 in total.

This may be wrong if so I tried my best

A  probability distribution function always have a math formula with some parameter(s) in it, Yes, it is always a math formula option A.

A probability distribution is a function that calculates the likelihood of all potential outcomes of an experiment. A probability distribution is described using two essential functions. The probability density function, also known as the probability mass function, and the cumulative distribution function are two examples.

There are two forms of data in statistics: discrete and continuous. A probability distribution may be categorised into two types based on this: discrete probability distributions and continuous probability distributions.

The cumulative distribution function is another name for the probability distribution function (CDF). If a random variable, X, is evaluated at a location, x, the probability distribution function offers the likelihood that X will have a value less than or equal to x. It is expressed as F(x) = P (X x). Additionally, if (a, b) is a semi-closed interval, the probability distribution function is provided by the formula P(a X b) = F(b) - F(a) (a). A random variable's probability distribution function is always between 0 and 1. It is a function that does not decrease.

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The correct option of the given question is option (c)  fissure.

When coding the phrase "supravesical fissure of urinary bladder," the main term to reference in the index is c. fissure.

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The main term to reference in the index when coding the phrase "supravesical fissure of urinary bladder" is c. fissure.

In medical coding, the index is typically organized alphabetically based on the main terms or significant words within medical terminology. In this case, "fissure" is the main term that represents the specific condition or anatomical feature being coded.

The other terms, such as "urinary," "bladder," and "supravesical," provide additional context but are not the primary focus when searching for the appropriate code in the index.

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Substitute the x and y values in:

p^2 + 3p - 5(2) = 0

p^2 + 3p - 10 = 0

Factorise this:

(p - 2)(p + 5)

p = 2

p = -5

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Answer:

2 and 3

Step-by-step explanation:

the x-intercept is 2

the y-intercept is 3

Answer:

Step-by-step explanation:

Dont do it. Just take the detention

INSTANCE.

In my opinion a red mustang is an instance of the car class.

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Answer:

3! = 3*2*1 = 6

Step-by-step explanation:

! is factorial meaning that you multiply that number by all of the number below it

9! = 9*8*7*6*5*4*3*2*1

1011 = 1011*1010*1009*1008...3*2*1

Answer:

54

Step-by-step explanation:

126+x=180

x=180-126=54

x=54

Answer:

2x + 8

Step-by-step explanation:

Sum means that it's an addition.

Twice a number is 2 times an unknown number which is x.

2 times x = 2x

To calculate a three-month moving average for monthly forecasting, you need to follow these steps: Gather the historical data, Determine the time period, Calculate the moving average, Repeat the process.

Gather the historical data: Collect the monthly data for the specific variable you want to forecast. For example, if you want to forecast sales, gather the sales data for the past several months.

Determine the time period: Decide on the time period for your moving average. In this case, it is three months.

Calculate the moving average: Add up the values for the variable you are analyzing over the past three months and divide the sum by three to get the average. This will be your moving average value for the third month.

Repeat the process: Shift the time period by one month and calculate the moving average for the new three-month period. Continue this process for each subsequent month, updating the time period and calculating the moving average accordingly.

For example, let's say you have the following sales data for the past six months:

Month 1: 100 units

Month 2: 120 units

Month 3: 110 units

Month 4: 130 units

Month 5: 140 units

Month 6: 150 units

To calculate the three-month moving average for Month 4, you would add up the sales values for Month 2, Month 3, and Month 4 (120 + 110 + 130 = 360) and divide it by three to get an average of 120 units. Repeat this process for each subsequent month to obtain the moving average values for your forecast.

Note that the number of data points you include in the moving average calculation and the frequency of the data (monthly in this case) can be adjusted based on your specific needs and the nature of the data.

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Answer:

Step-by-step explanation:

Let the section size for section 1, section 4 and section 3 = x  for each of them

Let the section size for Section 2 = 2x

Total size for the three = sections = 3x + 2x = 5x

P(2) = 2x/5x = 0.4 The xs cancel

Answer: P(2) = 0.4

Answer:

Length of RU is 20 units.

Step-by-step explanation:

In ΔRSt and ΔRUT,

ST ≅ TU [Given]

RT ≅ RT [Reflexive property]

∠RTS ≅ ∠RTU [Both the angles are the right angles]

ΔRTS ≅ ΔRTU [By SAS property of congruence]

Therefore, RS ≅ RU [By CPCTC (corresponding parts of the congruent triangles are congruent]

8x = 6x + 5

8x - 6x = 5

2x = 5

x = 2.5

Length of RU = (6x + 5)

                      = 6(2.5) + 5

                      = 15 + 5

                      = 20

Length of RU is 20 units.

Answer:

A

Step-by-step explanation:

y intercept x=0

y= 3(2)^0

y=3

(5x^2-21x-20)/(5x^2-16x-16)

((x-5)(5x+4))/((x-4)(5x+4))

(x-5)/(x-4)

x² - 3 x - 54 = x² + 6 x - 9 x - 54 = x ( x + 6 ) - 9 ( x + 6 ) = ( x + 6 ) ( x - 9 )

x² - 18 x + 81 = ( x - 9 )²

x² + 12 x + 36 = ( x + 6 )²

... = ( x + 6 ) · ( x - 9 ) / ( x - 9 )²  * ( x + 6 )² / ( x + 6 ) = ( after cancellation )

=  ( x + 6 )² / ( x - 9 )

After solving the given problem, I’ve been able to get 3(x-2) / 2(x-3) as the simplified form of the given equation. I am hoping that this answer has satisfied your query and it will be able to help you, and if you would like, feel free to ask another question.

If I understand clearly, the expression is

(18st^4/52s^3t)(16s^3/9s^2t)

To simply the expression, we simply have to multiply the constants and reduce the product to the lowest terms and apply the laws on exponents to simplify the variables. So, the answer would be:

8t^2/13s

(40v^2)/(35v^4) / (20v^3)/(5v)

(8)/(7v^2) / (4v^2/1)

(8)/(7v^2) * (1 / 4v^2)

2/(7v^4)

Answer:

1) m= 2

2)a=3

3) t =7

this are the first 3

m=n and C=D, as CD is an nxn matrix and In and Im have dimensions nxn and mxm, respectively.

To prove that m=n, let us consider the dimensions of the matrices involved. The matrix product CD has dimensions nxm times mxn, which gives an nxn matrix. On the other hand, the identity matrices In and Im have dimensions nxn and mxm, respectively. Therefore, for the products CA and AD to be well-defined, we must have m=n.

Now, let us show that C=D. We have:

CA = In (given)

AD = Im (given)

Multiplying both sides of the first equation by D on the right and both sides of the second equation by C on the left, we get:

CAD = D (from CA=In)

CAD = C (from AD=Im)

Since CAD is equal to both D and C, we have D=C. Therefore, the matrices C and D are equal, and we have proved that m=n and C=D.

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Answer:

r = -9

Step-by-step explanation:

Subtract 8 from both sides to get 2r = -18. Divide by 2 on both sides to get r = -9.

Answer:

r=-9

Step-by-step explanation:

Step 1:- Simplify both sides of the equation.

2r+8 = -10

Step 2:- For isolating the variable, subtract 8 from both sides.

2r+8-8 = -10-8

2r = -18

Step 3:- For isolating the variable, divide by 2 from both sides.

2r/2 =-18/2

r= -9

Hope this helps :)

The phase of inferential statistics which is sometimes considered to be the most crucial because errors in this phase are the most difficult to correct is "data gathering".

Inferential statistics are frequently employed to compare treatment group differences.

Some characteristics of inferential statistics are-

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Answer:

Finn is correct

Step-by-step explanation:

When a figure is dilated to create a larger image, the scale factor will be greater than one, but just because a number is a fraction doesn't necessarily mean that it is less than one. For example, the scale factor could have been 5/4 and that is just as possible as any other whole number. (Even so, it depends on what you're learning. Sometimes when teachers introduce fractions they define it as a number smaller than one, but you can always use the 5/4 example to explain your answer if this is the case for you)

i hope this answer helped you! please lmk if i made a mistake :)

Answer: x=12

Step-by-step explanation:

5x-15=2x+21(AIA)

3x-15=21

3x=36

x=12

The identified parameters are:

ta = 6 minutes

tθ = 11 minutes

∂a = 4 minutes

∂θ = 20 minutes

ra = 1/6 minutes^(-1)

rθ = 1/11 minutes^(-1)

ta: Mean time between calls to the center

tθ: Effective response time

∂a: Standard deviation of the time between calls to the center

∂θ: Standard deviation of the effective response time

ra: Rate of calls to the center (inverse of ta, i.e., ra = 1/ta)

rθ: Rate of effective response (inverse of tθ, i.e., rθ = 1/tθ)

Given information:

Mean time between calls to the center (ta) = 6 minutes

Standard deviation of time between calls (∂a) = 4 minutes

Effective response time (tθ) = 11 minutes

Standard deviation of effective response time (∂θ) = 20 minutes

Using this information, we can determine the values of the parameters:

ta = 6 minutes

tθ = 11 minutes

∂a = 4 minutes

∂θ = 20 minutes

ra = 1/ta = 1/6 minutes^(-1)

rθ = 1/tθ = 1/11 minutes^(-1)

So, the identified parameters are:

ta = 6 minutes

tθ = 11 minutes

∂a = 4 minutes

∂θ = 20 minutes

ra = 1/6 minutes^(-1)

rθ = 1/11 minutes^(-1)

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