Round your answer to the nearest hundredth

Any help will be appreciated thank you

Answer:

Step-by-step explanation:

Not area. Perimeter.

Simple way:

Advanced way:

Solve:

Solve:

Your answer is 21.

Answer:

A , D

Step-by-step explanation:

hello :

b= √18 because : (√18)² =18

b= - √18 because : (-√18)² =18

Answer:

no, jake needs $14 more to repay his mother

Step-by-step explanation:

+25 + (-21) + 22 + (-15) = 4 + 7 or 11

or you could add the positive values together and negative together and then add

25 + 22 = 47

-21 + (-15) = -36

47 + (-36) = 11

Answer:

Step-by-step explanation:

Let x be the variable.

One fourth times the difference of ten and x is 2/3

1/4 (10 - x) = 2/3

10 - x = 3/2

-x = 3/2 - 10

x = -3/2 + 10

x = 13/2

The answer is:

\(\rm{\dfrac{1}{4}(10-d)=\dfrac{2}{3}}\)

Work/explanation:

First, the variable is d

Then, the difference of 10 and d is 10 - d.

One-fourth is 1/4.

The equation is : \(\rm{\dfrac{1}{4}(10-d)=\dfrac{2}{3}}\).

The graphs of the quadratic expressions are added as attachment

Function 5

Given that

y = -x² + 8x - 14

The graph is added as an attachment and the solution is x = 2.59 and x = 5.41

Function 6

Given that

y = 1/2x² - x - 3

The graph is added as an attachment and the solution is x = -1.65 and x = 3.65

Function 7

Given that

y > x² + 6x + 5

The graph is added as an attachment and the solution is x values between -5 and -1 (exclusive)

Function 8

Given that

y ≤ 2x² - 4

The graph is added as an attachment and the solution is x values outside -1.414 and 1.414 (inclusive)

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Answer:

6 kw    are used each hour

Step-by-step explanation:

E = P t

E/t = P

66 kwh /11h = 6 kw

Step-by-step explanation:

do like the picture I sent

Without knowing the exact number of games played or the final score, it is not possible to determine who won the game. The probabilities for all possible values of x P(John wins) = ∑ P(X = x+2).

The expected number of games played in this match can be calculated using the formula for the expected value of a geometric random variable, which is given by:

E[X] = 1/p

where E[X] is the expected value of the random variable X, and p is the probability of success (in this case, the probability that John wins a single game).

Plugging in the values, we get:

E[X] = 1/0.55 = 1.82

This means that the expected number of games played in the match is approximately 1.82 games.

It is not possible to determine with certainty who will win the game based on the probability of winning a single game alone. However, it is possible to calculate the probability that John will win the match given the probability of winning a single game.

The probability that John wins the match can be calculated using the formula for the probability of a geometric random variable, which is given by:

P(X = k) = p\((1-p)^{(k-1)}\)

where P(X = k) is the probability that the random variable X takes on the value k, p is the probability of success, and k is the number of successes.

For John to win the match, he must win two games more than Maria. Let's assume that Maria wins x games. This means that John must win x+2 games to win the match. Plugging these values into the formula above, we get:

P(X = x+2) = 0.55\((1-0.55)^{(x+1)}\)

This is the probability that John wins the match given that Maria wins x games. To calculate the probability that John wins the match overall, we must sum the probabilities for all possible values of x.

P(John wins) = ∑ P(X = x+2)

This sum can be approximated using a computer program, or by hand using a sum of infinite geometric series formula.

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The question is -

Maria and John played a computer game. John and Maria play a series of games where John has a probability 0.55 of winning each game independently. They play until the first player who wins two games more than his opponent wins the match. What is the expected number of games played? Who scored more points and won the game? Explain?

Part A) Yes, based on the scatter plot we can say that it is accurate.

Part B) The amount of pumpkin picked and the amount of fertilizer applied.

What is the correlation coefficient?

The correlation coefficient is a measure of the strength and direction of the linear relationship between two variables. It is a statistical measure that ranges from -1 to 1, where -1 indicates a strong negative relationship, 0 indicates no relationship, and 1 indicates a strong positive relationship.

Part A:

The closer the correlation coefficient is to 1, the stronger the relationship between two variables, and vice versa. Also, the closer the data points are on a scatter plot, the closer the correlation coefficient is to 1.

The scatter plot shown indicates a positive correlation between the number of days and a number of pumpkins. However, the data points are to some extent farther apart from each other. This shows a moderate relationship between the two variables. Therefore, a correlation coefficient, r, of 0.51 that was calculated can be concluded to be accurate, because an r of 0.51 depicts a moderate relationship between two variables.

Part B:

A variable that could affect the number of pumpkins picked could be the amount of fertilizer applied, instead of the day in October. Thus, we can compare the amount of pumpkin picked and the amount of fertilizer applied.

Hence, Yes, based on the scatter plot we can say that it is accurate and the amount of pumpkin picked and the amount of fertilizer applied.

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The value of ( g o f ) (x) is x^2 + 2

A function is a rule or an expression that shows relationship between a variable known as the independent variable and another variable known as the dependent variable.

From the information given, we have;

( g o f ) (x) can be determined by substituting the value for x in g(x) as the function f(x) = x + 1

( g o f ) (x) = (x+ 1) ^ 2 + 1

( g o f ) (x) = x^2 + 1^ 2 + 1

Find the square

( g o f ) (x) = x^2 + 1 + 1

( g o f ) (x) = x^2 + 2

The value of ( g o f ) (x) is x^2 + 2

Thus, the value of ( g o f ) (x) is x^2 + 2

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Answer: None

Step-by-step explanation:

All of these choices would only give you either 4/5x or 5/4x. They wouldn't be equal to 1/4x+1 1/5

So sorry if this is wrong.

Have a nice day! :D

The lifetime budget constraint can be represented on a diagram by plotting C₁ on the x-axis and C₂ on the vertical axis.

The lifetime budget constraint illustrates the consumption possibilities for an individual over their lifetime. It shows the combinations of consumption in period 1 (C₁) and period 2 (C₂) that the individual can afford, given their initial endowment and borrowing constraints. The slope of the budget constraint represents the relative price of consumption in the two periods. The individual's budget constraint will shift outward if there is an increase in the initial endowment or a relaxation of borrowing constraints.

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To answer this question, we need to use the concept of the normal distribution and the given mean and standard deviation. The mean time for the pain reliever to begin reducing symptoms is 30 minutes.

To find the probability that it will take the medication between 32 and 37 minutes to begin to work, we'll use the mean, standard deviation, and the properties of a normal distribution.

Step 1: Calculate the z-scores for 32 and 37 minutes.
The z-score is the number of standard deviations a value is from the mean. The formula for the z-score is:
z = (X - μ) / σ
where X is the value, μ is the mean, and σ is the standard deviation.
For 32 minutes:
z1 = (32 - 30) / 8.7 ≈ 0.23
For 37 minutes:
z2 = (37 - 30) / 8.7 ≈ 0.80

Step 2: Find the probabilities corresponding to the z-scores.
You can use a z-table or an online calculator to find the probabilities for each z-score.
For z1 = 0.23, the probability is ≈ 0.5910
For z2 = 0.80, the probability is ≈ 0.7881

Step 3: Calculate the probability between the two z-scores.
Subtract the probability of z1 from the probability of z2:
P(32 < X < 37) = P(z2) - P(z1) = 0.7881 - 0.5910 ≈ 0.1971

So, the probability that it will take the medication between 32 and 37 minutes to begin reducing symptoms is approximately 19.71%.

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Answer:

12

Step-by-step explanation:

(2)4 + (1+3)

8 + 4

12

Hey there!

(2)4 + (1 + 3)

= 2(4) + (1 + 3)

= 2(4) + 1 + 3

= 8 + 1 + 3

= 8 + 4

= 12

Therefore, your answer is: 12

Good luck on your assignment and enjoy your day!

~Amphitrite1040:)

Answer:

pi 7^2 - 20

Step-by-step explanation:

area of the circle - area of the square

Answer:

\( \frac{8}{10} \)

Answer:

24y + 35

Step-by-step explanation:

Hey there!

8(3y + 5) - 5

= 8(3y) + 8(5) - 5

= 24y + 40 - 5

= 24y + 35

Therefore, the answer is:

Option A. 24y + 35

Good luck on your assignment & enjoy your day!

~Amphitrite1040:)

The slope of the curve  f(x) = x³ + 3x²  is given by the derivative, which is

f'(x) = 3x² + 6x.

To find the slope of the curve represented by the function

f(x) = x³ + 3x²

we need to take the derivative of the function with respect to x.

The derivative  of f( x) = x³ + 3x² can be found using the power rule of differentiation

f'(x) = 3x² + 6x

hence, the slope of the curve represented by the function f(x) = x³ + 3x²  is given by the derivative f'(x) = 3x² + 6x.

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Answer:

59.9%

Step-by-step explanation:

100/30 = 3.3

3.3*18 = 59.9%

Answer: 56.548

Step-by-step explanation:  Circumfrance = (radius x pi) x2

Answer:

The answer is 56.57miles

Step-by-step explanation:

No, (x - 2) is not a factor of f(x) = x³ - 2x² + 2x + 3.

Mathematical expression is defined as the collection of the numbers variables and functions by using operations like addition, subtraction, multiplication, and division.

Given that;

The expression is,

⇒ f (x) = x³ - 2x² + 2x + 3

And, The factor is (x - 2)

Now, If (x - 2) is factor of function then x = 2 satisfy the function.

Hence, We can check as,

⇒ f (x) = x³ - 2x² + 2x + 3

Put x = 2

⇒ f (2) = 2³ - 2 (2)² + 2 × 2 + 3

⇒ f (2) = 8 - 8 + 4 + 3

⇒ f (2) = 7 ≠ 0

Hence, (x - 2) is not a factor of f(x) = x³ - 2x² + 2x + 3.

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Answer:

The period of this graph is 7.

Answer:

13

Step-by-step explanation:

a. Approximately 84% of newborns have a respiratory rate within 1.2 standard deviations of the mean.

b. The probability that a newborn selected at random will have a respiratory rate higher than 55 beats per minute is approximately 15.87%.

c. Thirty percent of all newborns have a respiratory rate lower than approximately 47.38 breaths per minute.

d. Approximately 81.33% of samples of 5 newborns will have an average respiratory rate below 52 breaths per minute.

e. Approximately 10.2% of samples of 10 newborns will have an average respiratory rate above 52 breaths per minute.

f. Approximately 39.76% of samples of 10 newborns will have an average respiratory rate between 50 and 52 breaths per minute.

a. 84% of babies have respiratory rates within 1.2 standard deviations of the mean. The normal distribution can calculate this. Finding the area under the normal curve between 1.2 standard deviations above and below the mean gives us the proportion. The proportion of infants in this range is this area.

b. Calculate the area under the normal curve to the right of 55 to discover the probability that a randomly picked infant will have a respiratory rate higher than 55 beats per minute. The z-score formula (x - mean) / standard deviation helps standardise 55. The z-score is 55 - 50 / 5 = 1. Using a calculator or typical normal distribution table, the likelihood of a z-score larger than 1 is 0.1587. The probability is 15.87%, or 0.1587.

c. The 30th percentile z-score determines the respiratory rate below which 30% of neonates fall. 30th percentile z-score is -0.524. A conventional normal distribution table or calculator can identify the z-score associated with an area of 0.3 to the left of it. Multiplying the z-score by the standard deviation and adding it to the mean returns it to its original units. The respiratory rate is (z-score * standard deviation) + mean = (-0.524 * 5) + 50 = 47.38. 30% of neonates breathe less than 47.38 breaths per minute.

d. The average respiratory rate of 5 newborns will follow a normal distribution with the same mean but a standard deviation equal to the population standard deviation divided by the square root of the sample size, which is 5/sqrt(5) = 2.236. To compute the proportion of samples having an average respiratory rate < 52 breaths per minute, we require the z-score. The z-score is 0.8944. The likelihood of a z-score less than 0.8944 is around 0.8133 using a basic normal distribution table or calculator. Thus, 81.33% of 5 newborn samples will have a respiratory rate below 52 breaths per minute.

e. The average respiratory rate of 10 infants will follow a normal distribution with the same mean but a standard deviation of 5/sqrt(10) = 1.5811. We calculate the z-score using (52 - 50) / 1.5811 = 1.2649. The likelihood of a z-score larger than 1.2649 is 0.102. Thus, 10.2% of 10 babies will have a respiratory rate exceeding 52 breaths per minute.

f. Calculate the z-scores for both values to find the fraction of 10 babies with an average respiratory rate between 50 and 52 breaths per minute. (50 - 50) / 1.5811 = 0. (52 - 50) / 1.5811 = 1.2649. The chance of z-scores between 0 and 1.2649 is approximately 0.3976 using a basic normal distribution table or calculator. Thus, 39.76% of 10 newborn samples will have an average respiratory rate of 50–52 breaths per minute.

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Answer: Equation is x+45 = 90

It solves to x = 45

Explanation:

The two angles are complementary, which by definition means they join together to form a right angle. The two pieces x and 45 add to 90 degrees.

To solve the equation x+45 = 90, we subtract 45 from both sides to get x = 45.

As a check x+45 = 45+45 = 90.

Answer:2

Step-by-step explanation:

Option b accurately interprets the slope coefficient in the context of the regression equation provided. b. As x increases by 1 unit, y is predicted to decrease by 17 units.

In the given sample regression equation, the slope coefficient (-17) represents the rate of change in the predicted value of y (y-hat) for each one-unit increase in x. Since the coefficient is negative, it indicates a negative relationship between x and y.

Specifically, for every one-unit increase in x, the predicted value of y is expected to decrease by 17 units. Therefore, option b accurately interprets the slope coefficient in the context of the regression equation provided.

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For the given graph , piecewise function for the given graph is as follow:

f(x)  =  1  ,                if x < -2

        2x ,              if -2 < x ≤ 0

       (- x / 2) + 2     if x > 0

As given in the question,

Given is the graph of the function f( x )

Now to find the piecewise function for the given graph is as follow:

For   x < -2 it is given that f ( x) = 1

Now consider two points for  -2 < x ≤ 0

( x₁ , y₁ ) = ( 0 , 0 )

( x₂ , y₂ ) = ( -2 , -4 )

Equation of f(x) is given by :

( y - 0 )/ ( x -0 ) = ( -4 - 0)/ (-2 - 0 )

⇒ y = 2x

Now consider two points for  x > 0

( x₁ , y₁ ) = ( 0 , 2 )

( x₂ , y₂ ) = ( 2 , 1 )

Equation of f(x) is given by :

( y - 2 )/ ( x -0 ) = ( 1 - 2)/ ( 2 - 0 )

⇒ y - 2 = -x / 2

⇒ y = ( -x / 2 ) + 2

Therefore, for the given graph , piecewise function for the given graph is as follow:

f(x)  =  1  ,                if x < -2

         2x ,              if -2 < x ≤ 0

       (- x / 2) + 2      if x > 0

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