solve for x or find x​

The weights of newborn infants at a certain hospital are considered continuous variables. Continuous variables can take on any value within a certain range.

In the case of newborn infant weights, the weight can be measured with precision to any decimal point, allowing for a continuous scale of measurement.

Unlike discrete variables, which have specific distinct values, such as whole numbers, the weight of newborn infants can vary continuously. Infants can have weights such as 2.567 pounds, 5.342 pounds, or any value in between.

Therefore, the weights of newborn infants at a certain hospital are classified as continuous variables due to their ability to vary continuously within a given range.

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The information given can be shown in a pie chart by using sections in a circle that are equivalent to the number of speakers per language.

This is a visual representation of parts in a whole, in this case the purpose is to represent the number of speakers out of 360 students.

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Reason:

Whenever you have two groups like this, one labeled the treatment group and the other the control group, we have an experiment gong on.

The treatment group gets the actual medication that is being tested. The control group gets a fake medication, aka placebo. Usually a placebo is meant for humans because it's more of a psychological factor. With cats, it likely won't affect them. However, such practices of having two groups like this is standard no matter what group of subjects you're testing.

The idea is that if the treatment group has better results compared to the placebo group, then it's likely the medication works.

Answer:

a. 108

b. 2.5

Step-by-step explanation:

a. ex: 108 = 108

b. ex: 5/2 = 5/2

convert to a decimal

2.5

. . .

Answer:

18

Step-by-step explanation:

g(8)= 3(8)-2

g(8)= 22

g(-5)= 3(-5)-2

g(-5)= -15-2

g(-5)= -17

g(8)-g(-5)= 39

(22-(-17)=39)

Therefore, the interval in which solutions are sure to exist is (0, ∞).

To determine the interval in which solutions are sure to exist for the given differential equation, we need to consider any restrictions or limitations imposed by the equation itself.

In this case, the given differential equation is:

y′′′ ty'' t^2y'=ln(t)

The equation involves logarithm function ln(t), which is not defined for t ≤ 0. Therefore, the interval in which solutions are sure to exist is t > 0.

In other words, solutions to the given differential equation can be found for values of t that are strictly greater than 0.

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\(\qquad \qquad \textit{binomial theorem expansion} \\\\ \qquad \qquad (3-5z)^{14}~\hspace{4em} \begin{array}{clcl} term&coefficient&value\\ \cline{1-3}&\\ 1&+1&(3)^{14 }(-5z)^0\\ 2&+14&(3)^{13}(-5z)^1\\ 3&+91&(3)^{12}(-5z)^2\\ 4&+364&(3)^{11}(-5z)^3\\ 5&+1001&(3)^{10}(-5z)^4 \end{array} \\\\[-0.35em] ~\dotfill\\\\ 3^{14}-14(3^{13})(5z)+91(3^{12})(5z)^2-364(3^{11})(5z)^3+1001(3^{10})(5z)^4 \\\\\\ 4782969-111602610z+1209028275z^2-8060188500z^3+13299311025z^4\)

I find the key to binomial expansion is mainly to get coefficient that goes next as  you see in the middle of the table above.

now, if wonder how I get it sequentially, namely as I go, for example, how did I get 91?  

well, (14 * 13 )/ 2

the current coeffient times the exponent of the 1st term divided by the "exponent of the 2nd term plus 1"

how did I get 1001?

well, (364 * 11) / 4

and so on.

On solving thr provided question, by help of arithmetic progression, we got to know that a10 = 207

There are two approaches to define arithmetic progressions (AP):

The difference between any two successive terms in an arithmetic sequence must always be equal, and it is sometimes referred to as a series in which all terms except the first are created by adding a predetermined number to the preceding term.

9,15,25..............

15-9 = 6

25-15 = 10

a4 - 25 = 14 => a4 = 39

a5-39 = 18 => a5 = 57

a6-57 = 22 => a6 79

...

...

...

...

...

a10 - 169 = 38 => a10 = 207

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Answer:

6a. 26

6b. 60%

6c. 33.3% or just one-thrid

7. 80.925 rounded is $80.93

8. 240

9. 25

10. 54%

Step-by-step explanation:

brainliest please!

Answer:

Step-by-step explanation:

chocolate donuta= 35% of 40

=\(\frac{35}{100} *40\)

=\(\frac{1400}{100}\)

=14

chocolate donuts=14

a.donuts that are not chocolates=40-14

=26

b.donuts with sprikles=24

percent of donjts with sprikles=24/40 *100%

=(2400/40)%

=60%

c.donuts that have cream filling out of donut that have sprikles=8

percent of donuts which have sprikles with cream filling=8/24*100%

=(800/24)%

=33.33%

7.final cost=35% of $124.50

=35/100 *$124.50

=$4357.5/100

=$43.575

8.48% 0f 500

=48/100 *500

=48*5

=240

9.let the number be x

15=60% 0f number

15=60/100 *x

15/x=60/100

do cross multiplication

x*60=15*100

x=1500/60

x=25

therefore the number is 25.

10.let the percent be y%

90=y% of 60

90=y/100 *60

90*100=60y

9000/60=y

y=150 %

therefore 150% 0f 60 is 90

Answer:

64

Step-by-step explanation:

5*8+6*4

The probability that the flight will not be delayed is 0.79.

If the probability that a flight will be delayed is 0.21, then the probability that it will not be delayed must be:

Understand that the total probability of an event is always 1. In this case, there are only two possible outcomes: the flight is delayed, or it is not delayed.
Subtract the probability of the flight being delayed (0.21) from the total probability (1).

1 - 0.21 = 0.79

The probability that the flight will not be delayed is 0.79.

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The maximum earning is v(r,b)

Let v(r,b) be the expected value of the game for the player, assuming optimal play, if the remaining deck has r red cards and b black cards.

Then v(r,b) satisfies the recursion

and

The stopping rule is simple: Stop when v(r,b)=0.

To explain the recursion . . .

If r,b>0, and the player elects to play a card, then:

Thus, if r,b>0, electing to play a card yields the value f(r,b).

But the player always has the option to quit, hence, if r,b>0, we get v(r,b)=max(0,f(r,b)).

Implementing the recursion in Maple, the value of the game is

v(26,26)=41984711742427/15997372030584

v(26,26)  ≈2.624475549

and the optimal stopping strategy is as follows . . .

So, The maximum earning is v(r,b)

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On average, a customer spends approximately 1.16 minutes waiting time on hold before they can start speaking to a representative.

To find the average waiting time for a customer on hold before they can start speaking to a representative, we need to consider both the arrival rate of calls and the average service time of the staff members.

Given:

9 staff members taking calls.

On average, one call arrives every 5 minutes (standard deviation of 5 minutes).

Each staff member spends on average 18 minutes with each customer (with a standard deviation of 27 minutes).

To calculate the average waiting time, we need to use queuing theory, specifically the M/M/c queuing model. In this model:

"M" stands for Markovian or memoryless arrival and service times.

"c" represents the number of servers.

In our case, we have an M/M/9 queuing model since we have 9 staff members.

The average waiting time for a customer on hold is given by the following formula:

Waiting time = (1 / (c * (μ - λ))) * (ρ / (1 - ρ))

Where:

c = number of servers (staff members) = 9

μ = average service rate (1 / average service time)

λ = average arrival rate (1 / average interarrival time)

ρ = λ / (c * μ)

First, let's calculate the average arrival rate (λ):

λ = 1 / (average interarrival time) = 1 / 5 minutes = 0.2 calls per minute

Next, calculate the average service rate (μ):

μ = 1 / (average service time) = 1 / 18 minutes = 0.0556 customers per minute

Now, calculate ρ:

ρ = λ / (c * μ) = 0.2 / (9 * 0.0556) ≈ 0.407

Finally, calculate the waiting time:

Waiting time = (1 / (c * (μ - λ))) * (ρ / (1 - ρ))

= (1 / (9 * (0.0556 - 0.2))) * (0.407 / (1 - 0.407))

≈ 1.16 minutes

Therefore, on average, a customer spends approximately 1.16 minutes waiting on hold before they can start speaking to a representative.

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Answer:

X = 15

Step-by-step explanation:

1.- Rewrite the equation, Put like terms on the same side

6x - 5x = 2 - 17

Instead of adding subtract

2.- Divide 1 on both sides

1x = 15

You should only have X on the left side

3.- You should have

X = 15

Answer:

i cant see the link try reposting

Step-by-step explanation:

Answer:

x = 7

y = 1

Step-by-step explanation:

(x-5)² + y² = 5

x-y = 6   then x = y+6

substitute for x:

(y+6-5)² +y = 5

y²+2y+1 +y = 5

reduce:

y²+3y-4 = 0

factor:

(y+4)(y-1) = 0

y = 1

x = 1+6 = 7

Answer:

28 ft

Step-by-step explanation:

the perimeter of the rectangle is 28 feet

Answer:

it is 6.4*5.8 brainliest?

Step-by-step explanation:

Answer:

yes !!

Step-by-step explanation:

Step-by-step explanation:

Hindi ko maintindihan sorry...

It lies in the quadrant IV.

Since we know that a full circle is broken into four parts known as quadrants into regions of π/2.Since quadrant  1 ranges from 0 to π/2,  quadrant 2 ranges from π/2 to π, then quadrant 3 ranges from π to 3π/2, and at last quadrant 4 ranges from 3π/2 to 2π.

And we know 2π is equal to approx  6.28 radians,  so each quadrant will have  2π/ 4 = π2  ≈1.57 radians

So for angle  -7 it will be =  −7/(π/2) ≈−4.45.

So  moving around the circle,  it appears halfway through the quadrant IV.

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In the given study comparing the effects of regular-fat cheese to reduced-fat cheese on LDL cholesterol levels, the dependent variable(s) refers to the outcome(s) that are being measured or observed. In this case, the dependent variable in this study is: b. LDL levels

The dependent variable is the variable that is measured or observed to assess the effect of the independent variable(s). In this case, the study is comparing the effects of regular-fat cheese and reduced-fat cheese on LDL cholesterol levels.

LDL cholesterol levels are the outcome being measured to determine the impact of the different types of cheese on cholesterol. Therefore, option b, LDL levels, is the dependent variable in this study. Options a (regular fat cheese) and c (reduced fat cheese) are not the dependent variables but rather the independent variables, as they are the different conditions being compared to assess their effect on LDL levels.

Option d (both a and b) and option e (both b and c) are incorrect because regular-fat cheese (option a) is an independent variable, not a dependent variable.

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Therefore, the value of z when the area to the right of z is 0.3336 is approximately 0.43.

Consider a standard normal random variable z. If the area to the right of z is 0.3336, the value of z can be found using the standard normal distribution table. The standard normal distribution table gives the area to the left of a given z-score. Since we are given the area to the right of z, we subtract 0.3336 from 1 to get the area to the left of z. This gives us an area of 0.6664 to the left of z on the standard normal distribution table. The closest value of z that corresponds to this area is 0.43. Therefore, the value of z when the area to the right of z is 0.3336 is approximately 0.43. The value of z, when the area to the right of z is 0.3336, is approximately 0.43.

Therefore, the value of z when the area to the right of z is 0.3336 is approximately 0.43.

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Answer:

yes.. i HATE them!!

ur answer is: either C or D

(not sure..)

Answer:

38.05

Step-by-step explanation:

1. 2.3x1.5=3.45

38.9-3.45=35.45

35.45+2.6=38.05

a). The difference between the two population means is estimated at a location to be 2.7.

b). 49 different possible outcomes make up the t distribution. The margin of error at 95% confidence is 1.7.

c). The range of the difference between the two population means' 95% confidence interval is (0.0, 5.4).

d). The (0.0, 5.4) represents the 95% confidence interval for the difference among the two population means.

The variability or spread in a set of data is commonly measured by the standard deviation. The deviation between the values in the data set and the mean, or average, value, is measured. A low standard deviation, for instance, denotes a tendency for data values to be close to the mean, whereas a high standard deviation denotes a larger range of data values.

Using the equation \(x_1-x_2\), we can determine the point estimate of the difference between the two population means. In this instance, we calculate the point estimate as 2.7 by taking the mean of Sample

\(1(x_1=22.8)\) and deducting it from the mean of Sample \(2(x_2=20.1)\).

With the use of the equation \(df=n_1+n_2-2\), it is possible to determine the degrees of freedom for the t distribution. In this instance, the degrees of freedom are 49 because \(n_1\) = 20 and \(n_2\) = 30.

We must apply the formula to determine the margin of error at 95% confidence \(ME=t*\sqrt[s]{n}\).

The sample standard deviation (s) is equal to the average of \(s_1\) and \(s_2\) (3.4), the t value with 95% confidence is 1.67, and n is equal to the

average of \(n_1\) and \(n_2\) (25). When these values are entered into the formula, we get \(ME=1.67*\sqrt[3.4]{25}=1.7\).

Finally, we apply the procedure to determine the 95% confidence interval for the difference between the two population means \(CI=x_1-x_2+/-ME\).

The confidence interval's bottom limit in this instance is \(x_1-x_2-ME2.7-1.7=0.0\) and the upper limit is \(x_1+x_2+ME=2.7+1.7=5.4\).

As a result, the (0.0, 5.4) represents the 95% confidence interval for the difference among the two population means.

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Answer:

The errors are;

a. negative 4 to negative 6

b. negative 2 to negative 4

Step-by-step explanation:

The number line is the mathematical representation of numbers in the horizontal line or the x-axis.

The result of the multiplication of a positive 2 and a negative 3 is;

           2 x -3 = -6 ,  gives a negative 6.

So the number line should scale to accommodate the operands and the result, which is from negative 7 to positive 3, in the option given.

Answer:

the answer is a and c        :)

Step-by-step explanation: