Maya is making a miniature dinner table for her little sister. She wants the table top to be similar to their real dinner table top. Find the width of the miniature table top to the nearest tenth of a centimeter.

1. An event that is likely to happen, but not certain, for the number Kenisha calls is that it is a prime number. While there are several prime numbers between 1 and 75, it is not guaranteed that the number she calls will be prime. However, given the range of numbers, the probability of calling a prime number is relatively high.

2. An event that is unlikely to happen, but not impossible, for the number Kenisha calls is that it is a perfect square. Perfect squares are numbers that can be expressed as the square of an integer. In the range of 1 to 75, there are only a few perfect squares, so the chances of calling one as the bingo number are relatively low, but not impossible.

3. An event that is certain to happen for the number Kenisha calls is that it will be an integer. Since the game is played with whole numbers from 1 to 75, the number called will always be an integer, as it represents a specific whole number in the given range.

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The solution is given below.

1. An event that is likely to happen, but not certain, for the number Kenisha calls is that it will be an odd number. Since there are 75 numbers in total and half of them are odd, there is a higher probability that the number called will be odd.

2. An event that is unlikely to happen, but not impossible, for the number Kenisha calls is that it will be a perfect square. There are only a few perfect square numbers between 1 and 75, so the chances of calling a perfect square number are lower compared to other numbers.

3. An event that is certain to happen for the number Kenisha calls is that it will be a number between 1 and 75. Since the numbers in the game range from 1 to 75, any number called by Kenisha will definitely fall within this range.

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Step-by-step explanation: Goes up 1 and over 1.

(If you want y-intercept it is also 1)

Answer:

19

Step-by-step explanation:

1. 72 - 15 = 57

2. 57/3 = 19

19 is your number.

please mark me brainliest

Answer:

A. 1 cup of chocolate chips

B. 1/4 cup of granulated sugar

C. 1 and 5/8 cups of all purpose flour

Step-by-step explanation:

Divide all by 2

(a) Stability of Velocity of Money:

It is the extent to which the quantity theory of money holds in the short term. Velocity of money refers to the rate at which money changes hands or in other words it is defined as the number of times a unit of money is used in purchasing final goods and services in a given period of time.

(b) Importance of Stability of Velocity of Money in explaining Fisher's theory of demand for money:

According to Fisher, there is a direct relation between the volume of trade and the demand for money.

(c) Differences between Fisher's and Friedman's theory of the demand for money:Fisher's Theory of Demand for Money:It is based on the Quantity Theory of Money ,while Friedman's theory of the demand for money is based on the modern Quantity Theory of Money

a) In case, the velocity of money is unstable, then an increase in money supply may lead to a decrease in velocity of money leading to an insignificant effect on prices.

Whereas, in case, velocity is stable, then an increase in money supply will lead to an equivalent rise in prices. The stability of the velocity of money is critical for the Quantity Theory of Money.

b) According to him, the volume of trade is influenced by the quantity of money, and the velocity of money remains constant.

In other words, Fisher assumed the stability of velocity of money and believed that changes in the quantity of money lead to an equal proportionate change in the general price level. So, in order to validate Fisher's Quantity Theory of Money, velocity of money should be stable.

c) Fisher assumes that velocity of money is constant in the short-run, therefore, the only variable affecting the price level is the quantity of money.

Friedman's Theory of Demand for Money:

Friedman's theory of the demand for money is based on the modern Quantity Theory of Money. He has divided the demand for money into two components: Transactions demand for money and Asset demand for money. He also assumes that velocity of money is not constant rather it is stable in the long run. Friedman also included other factors which influence the

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The distribution of η=(η1,η2)⊤ is a bivariate normal distribution. we can find the distribution of η by transforming ξ using linear combinations.

Given that ξ follows a multivariate normal distribution with mean vector a and covariance matrix B,

For η1:

η1 = 2ξ1 - ξ2 + 2ξ3

For η2:

η2 = -2ξ1 - 2ξ3

By substituting the expressions for η1 and η2, we can express η as a linear transformation of ξ:

η = Tξ

The matrix T can be written as:

T = [2 -1 2;

    -2  0 -2]

The mean vector of η can be obtained by substituting the mean vector of ξ into the transformation:

E[η] = T * E[ξ] = T * a

The covariance matrix of η can be obtained using the property that covariance matrix of a linear transformation is given by T * B * T^T:

Cov[η] = T * B * T^T

Therefore, the distribution of η is a bivariate normal distribution with mean vector T * a and covariance matrix T * B * T^T.

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It is simply the largest of the common factors.

We have:

12x³- 18x² + 6x

We find GCF of 12, 18 and 6:

GCF(12, 18, 6) = 6

12 = 2 · 6

18 = 3 · 6

6 = 1 · 6

and GCF of x³, x² and x:

GCF(x³, x², x) = x

x³ = x² · x

x² = x · x

x = 1 · x

Therefore:

Answer:

$146.66

Step-by-step explanation:

I bopped this into a percentage calculator and this is what I got

The probability that the product of the two chosen numbers will be even and greater than 2 is 9/25.

Probability is a measure of the likelihood or chance of a particular event occurring. It is expressed as a number between 0 and 1, where 0 represents an impossible event that will not occur, and 1 represents a certain event that will always occur.

According to the given information:

There are 5 balls numbered 1 through 5 in the bowl. The total number of possible outcomes, when Josh chooses a ball, is 5, as there are 5 balls in the bowl.

Now let's consider the probability of choosing a ball with an even number. There are 3 even numbers (2, 4, and 5) out of the 5 possible numbers, so the probability of choosing a ball with an even number is 3/5.

Next, let's consider the probability of choosing a ball with a number greater than 2. There are 3 numbers (3, 4, and 5) greater than 2 out of the 5 possible numbers, so the probability of choosing a ball with a number greater than 2 is also 3/5.

To find the probability that the product of the two chosen numbers will be even and greater than 2, we need to multiply the probabilities of choosing an even number and choosing a number greater than 2.

Probability of choosing an even number: 3/5

Probability of choosing a number greater than 2: 3/5

Multiplying these probabilities, we get:

(3/5) * (3/5) = 9/25

So, the probability that the product of the two chosen numbers will be even and greater than 2 is 9/25.

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12a =!!!!!!!!!!!!.. ........

At a 0.05 level of significance, it cannot be concluded that the mean of horse race betting is higher in Texas than in California.

To perform a hypothesis test, we set up the null hypothesis and the alternative hypothesis:

Null hypothesis (H0): The mean of horse race betting success rate in Texas is the same as the mean in California (μ = 30).

Alternative hypothesis (Ha): The mean of horse race betting success rate in Texas is greater than the mean in California (μ > 30).

A one-sample t-test can be used to test this hypothesis. With a sample size of 200 and a sample mean of 40, we calculate the t-statistic as follows:

t = (mean of sample - mean of the population) / (standard deviation of the sample) / √(size of sample))

t = (40 - 30) / (unknown population standard deviation / √(200))

We use the sample standard deviation as an estimate because we do not know the population standard deviation. Assuming the sample is representative of the population, the sample standard deviation can be used as an estimate of the population standard deviation.

Using a t-table with degrees of freedom (df) = 199, we find the critical value of t for a one-tailed test with a significance level of 0.05 to be 1.645.

We favor the alternative hypothesis over the null hypothesis if the calculated t-value is greater than the critical t-value. We fail to reject the null hypothesis if the calculated t-value is lower than the critical t-value.

Given a p-value of 0.064, we can also reject the null hypothesis if the p-value is less than the significance level (0.05).

Without knowing the actual value of the t-statistic, we can conclude that since the p-value of 0.064 is greater than 0.05, we fail to reject the null hypothesis. Therefore, it cannot be concluded that the mean horse race betting success rate is higher in Texas than in California at a 0.05 level of significance.

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Answer:

F = 9/5C + 32

Step-by-step explanation:

F = 9/5C + 32

Since F means Fahrenheit and C means Celsius

Therefore the answer is already written

Answer: F = 9/5C + 32

Answer: C = 5/9 ( F - 32 )

Step-by-step explanation:

i dont know to do the 5 over 9 on the computer but thats the answer

Edmentum Answer

Answer:

1 26 18 10 2 12 11 9 6 and 20

Step-by-step explanation:

they are most frequently drawn

Answer: 18

Step-by-step explanation:

slide right 2 and down 3

OPTION B is the correct answer.

Answer:

should be 1.8

Step-by-step explanation:

Answer:

parn

Step-by-step explanation:

Brainliest or report?

This is the same as y = x+13

=============================================================

Explanation:

Let's find the slope

I'll use the first two rows as the (x1,y1) and (x2,y2) points

m = (y2-y1)/(x2-x1)

m = (19-18)/(6-5)

m = 1/1

m = 1

The slope is 1.

Now apply the point slope formula and solve for y

y - y1 = m(x - x1)

y - 18 = 1(x - 5)

y - 18 = x - 5

y = x-5 + 18

y = x + 13

f(x) = x + 13  is the final answer

As a check, note how something like x = 5 leads to...

f(x) = x+13

f(5) = 5+13 ... replace x with 5

f(5) = 18

We see that x = 5 leads to f(x) = 18. That verifies the first row. I'll let you check the remaining three rows.

The equation y = x+13 has slope 1 and y intercept 13.

Answer:

%2.5

Step-by-step explanation:

\(\\ \rm\Rrightarrow -30=5(x+1)\)

\(\\ \rm\Rrightarrow -30=5x+5\)

\(\\ \rm\Rrightarrow 5x=-30-5\)

\(\\ \rm\Rrightarrow 5x=-35\)

\(\\ \rm\Rrightarrow x=\dfrac{-35}{-5}\)

\(\\ \rm\Rrightarrow x=7\)

Answer:

x = -7

Step-by-step explanation:

-30 = 5 (x -1 )

5 ( x + 1 ) =-30

5 (x + 1 ) = - 30

     5            5

x + 1 = -6

x + 1 -1 = -6 -1

x = - 7

Answer:

x=3

Step-by-step explanation:

plug in -2 for y. then you can find the x value, which is 3

Answer:

\(3b + 3 < - 18 \\ 3b + 3 - 3 < - 18 - 3 \\ 3b < - 21 \\ 3b \div 3 < - 21 \div 3 \\ b < - 7\)

I hope I helped you^_^

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\( \large \boxed{\mathbb{ANSWER\: WITH\: EXPLANATION} \downarrow}\)

\( \tt \: 6 ^ { 2 } \div ( 5 + 1 )\)

Calculate 6 to the power of 2 and get 36.

\( \tt \: \frac{36}{5+1} \\ \)

Add 5 and 1 to get 6.

\( \tt \: \frac{36}{6} \\ \)

Divide 36 by 6 to get 6.

\( = \boxed{\boxed{ \bf \: 6}}\)

Performing the Gram-Schmidt process on matrices A and B manually, we obtain the following orthogonal matrices:
Q = [ 5a / ||5a||  0 / ||0||  27 / ||27|| ]
       [ 0 / ||0||   -10 / ||-10||  2 / ||2|| ]
       [ B / ||B||  0 / ||0||  1 / ||1|| ]

To compute an orthogonal matrix using the Gram-Schmidt process, we need to orthogonalize the given matrices. Let's denote the first matrix as A and the second matrix as B.
Step 1: Normalize the first column of A to get the first column of the orthogonal matrix Q.
q1 = a1 / ||a1||, where a1 is the first column of A.
Step 2: Calculate the projection of a2 onto q1 and subtract it from a2 to get the second column of the orthogonal matrix.
q2 = a2 - (a2 · q1) * q1, where a2 is the second column of A.
Step 3: Normalize the second column of Q to obtain the final column.
q2 = q2 / ||q2||

Repeat the above steps for matrix B.
Please note that the process involves calculating the magnitudes (norms) of the vectors and normalizing them accordingly.

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The measures of angles BDA and BEA  is 90 degree and the fact that AD and AE are radii of circle A tell us about BD and BE must be a tangent to the circle.

The tangents to the circle are BD and BE.

∠BDA = 90

∠BEA = 90

Radii = AD and AE

A tangent's angle with a circle's radius is always measured as a 90-degree angle.

∠BDA = 90, and since AD is a radius, BD must be a tangent to the circle.

Similar, ∠BEA = 90 suggests that BE is a tangent to the circle and that AE is a radius.

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The complete question is:

What do the measures of angles BDA and BEA and the fact that AD and AE are radii of circle A tell us about BD and BE?

\(\displaystyle h(x)=\int\limits_{1}^{\sqrt{x}}~\cfrac{z^2}{z^4+1}dz~\hspace{10em}\cfrac{dh}{du}\cdot \stackrel{chain~rule}{\cfrac{du}{dx}\implies \cfrac{dh}{dx}} \\\\[-0.35em] ~\dotfill\\\\ u=\sqrt{x}\implies \cfrac{du}{dx}=\cfrac{1}{2\sqrt{x}} \\\\[-0.35em] ~\dotfill\)

\(\cfrac{dh}{dx}\implies \displaystyle \cfrac{d}{du}\left[ \int\limits_{1}^{u}~\cfrac{z^2}{z^4+1}dz \right]\cdot \cfrac{1}{2\sqrt{x}}\implies \left[ \cfrac{u^2}{u^4+1} \right]\cdot \cfrac{1}{2\sqrt{x}} \\\\\\ \stackrel{substituting~back}{\left[ \cfrac{(\sqrt{x})^2}{(\sqrt{x})^4+1} \right]\cdot \cfrac{1}{2\sqrt{x}}}\implies \cfrac{x}{x^2+1}\cdot \cfrac{1}{2\sqrt{x}}\implies \cfrac{\sqrt{x}}{2x^2+2}\)

16) We know that the triangles are similar because the three angles are equal in both triangles:

The angles in K are opposite by the vertex, so they are equal.

We also know that angles L and N are equal too.

By the rule of the sum of the angles in a triangle, we know that the third angle has to be equal.

Also, the side opposite to the angle N and L in each triangle have the same measure, so we can conclude that the triangles are similar.

Answer:

The first answer is segment bisector

The probabilities for the hypergeometric distribution with the given parameters are:

a. P(X = 1) ≈ 0.000407

b. P(X = 6) = 0

c. P(X = 4) ≈ 0.098117

d. P(X = 0) ≈ 1.97e-05

Probability is a measure of the likelihood of an event to occur. Many events cannot be predicted with total certainty.

To determine the probabilities for the hypergeometric distribution with the given parameters, we can use the following formula:

P(X = k) = (choose(K, k) * choose(N-K, n-k)) / choose(N, n)

where "choose(a, b)" represents the binomial coefficient, calculated as a! / (b! * (a - b)!)

Let's calculate the probabilities:

a. P(X = 1):

P(X = 1) = (choose(20, 1) * choose(100-20, 4-1)) / choose(100, 4)

        = (20 * 80) / 3921225

        ≈ 0.000407

b. P(X = 6):

P(X = 6) = (choose(20, 6) * choose(100-20, 4-6)) / choose(100, 4)

        = (38760 * 0) / 3921225

        = 0

c. P(X = 4):

P(X = 4) = (choose(20, 4) * choose(100-20, 4-4)) / choose(100, 4)

        = (4845 * 80) / 3921225

        ≈ 0.098117

d. P(X = 0):

P(X = 0) = (choose(20, 0) * choose(100-20, 4-0)) / choose(100, 4)

        = (1 * 77) / 3921225

        ≈ 1.97e-05

Therefore:

a. P(X = 1) ≈ 0.000407

b. P(X = 6) = 0

c. P(X = 4) ≈ 0.098117

d. P(X = 0) ≈ 1.97e-05

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The complete question is:

Suppose that X has a hypergeometric distribution with N = 100, n = 4, and K = 20. Determine the following: a. P(X = 1) b. P(X = 6) c. P(X = 4) d. P(X = 0).