How to write 0.00080 as a power of 10?

Answer:

7x - 4

Step-by-step explanation:

2x + 4 + 5x - 8

7x + 4 - 8

7x - 4

Answer:

Yes, it's a rational number

Step-by-step explanation:

can be written as fraction and integers

70% of the trip length, t, is 35 miles. Find t:

0.70t = 35. Dividing both sides by 0.70, we get:

35

t = ----------- = 50

0.70

The total trip length is 50 miles.

Answer:

200 miles

Step-by-step explanation:

Given data

cost of car rental per day= $40

cost per mile= $0.22

We are told that the budget is $84

The expression for the total cost is given as

y= 40+0.22x

where x = the distance travelled

now for y=$84, by substituting we can get x

84=40+0.22x

84-40=0.22x

44=0.22x

divide both sides by 0.22

x= 44/0.22

x=200

Hence the distance that $84 will go is 200 miles

Two things that a rigid motion preserves are: length and angle.

The two things that a rigid motion preserves are:

1. Length: A rigid motion preserves the length of objects. This means that the distances between points or the lengths of line segments remain the same after the rigid motion is applied.

For example, if you have a line segment AB of length 5 units, a rigid motion such as translation, rotation, or reflection will not change the length of AB.

2. Angle: A rigid motion preserves angles between lines or line segments. This means that the measure of an angle remains the same after a rigid motion is applied.

For example, if you have an angle ABC with a measure of 60 degrees, a rigid motion will not change the measure of angle ABC.

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By supposing that V₁, V2, and Um are linearly dependent in a vector space V. For every & EV. V₁, V₂, ..., Uₘ are linearly dependent in a vector space V. As 7₁V₁ = 7(c₂V₂ + c₃V₃ + ... + cₘUₘ)

To show that 7₁V₁, 7₂V₂, ..., 7ₘUₘ, 7 is also linearly dependent for every 'c' in V, we can use the following approach: If V₁, V₂, ..., Uₘ are linearly dependent, then we can write at least one vector as a linear combination of the other vectors.

Let's assume V₁ can be written as a linear combination of the other vectors as follows:

V₁ = a₂V₂ + a₃V₃ + ... + aₘUₘ

where a₂, a₃, ..., aₘ are constants. Now, we can express the vector 7₁V₁ as:

7₁V₁ = 7₁a₂V₂ + 7₁a₃V₃ + ... + 7₁aₘUₘ

Since 7 is a constant, we can take it outside the bracket as:

7₁V₁ = 7(a₂7₁V₂ + a₃7₁V₃ + ... + aₘ7₁Uₘ)

Let's assume the sum inside the bracket is equal to 'b'. Then,

7₁V₁ = 7b

Since we know that V₁, V₂, ..., Uₘ are linearly dependent, we can write b as a linear combination of the other vectors as follows:

b = c₂V₂ + c₃V₃ + ... + cₘUₘ

where c₂, c₃, ..., cₘ are constants. Now, substituting the value of b in the equation for 7₁V₁, we get:

7₁V₁ = 7(c₂V₂ + c₃V₃ + ... + cₘUₘ)

This shows that 7₁V₁, 7₂V₂, ..., 7ₘUₘ, 7 are also linearly dependent. Therefore, we have proved that for every 'c' in V, 7₁V₁, 7₂V₂, ..., 7ₘUₘ, 7 are also linearly dependent.

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The codomain of a function is the set that contains all possible values that the function can map to. It represents the range of possible output values. To specify a codomain for a function, you need to consider the nature of the function and the type of values it can produce.

A function is considered onto (or surjective) if every element in the codomain has at least one corresponding element in the domain that maps to it. In other words, for each value in the codomain, there exists an input in the domain that produces that particular output.

To determine if a function is onto, you need to ensure that every element in the codomain is reached by the function. This can be achieved by satisfying certain conditions, such as:

The range of the function (the actual set of output values) is equal to the codomain. This means that the function covers all possible values in the codomain.

The function is defined for every element in the codomain. There are no "gaps" or missing elements that the function does not cover.

The function is one-to-one (injective). This means that each element in the domain maps to a unique element in the codomain, preventing any overlap or repetition.

These conditions ensure that every value in the codomain is covered by the function, making it onto.

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Answer:

it is 2, 4 and 6

Step-by-step explanation:

Given,In a luck experiment the sample space is N = {1, 2, 3, 4]. We define the possibilities A = {1, 2}, B = {1, 3}, C = {1, 4}.

If the elementary possibilities are equally probable, we need to determine whether possibilities A, B, C are in pairs independently and if possibilities A, B, C are every three independently, i.e., completely independent.

An independent event is an event that is not affected by any other event or occurrence. When two events are independent, the probability of one event occurring does not affect the probability of the other event occurring.So, if we define three events, A, B, and C, then A and B, A and C, and B and C may be independent of each other, or they may be dependent on each other.

To determine whether they are independent or not, we need to find the probability of each event and its combinations.

Here, the probability of each elementary possibility is equally probable, i.e., 1/4.If we consider events A and B, then we see that they have 1 as their common element.

Hence, P(A and B) = P({1}) = 1/4.Now, P(A) = P({1, 2}) = 2/4 = 1/2, and P(B) = P({1, 3}) = 2/4 = 1/2.Then, P(A) × P(B) = (1/2) × (1/2) = 1/4 = P(A and B).Since P(A and B) = P(A) × P(B), we can say that events A and B are independent.Similarly, we can calculate for events A and C, and B and C. We get,P(A and C) = 1/4 = P(A) × P(C)P(B and C) = 1/4 = P(B) × P(C)Therefore, events A, B, and C are pairwise independent.

If events A, B, and C are completely independent, then their joint probability, i.e., P(A and B and C) is the product of their individual probabilities, i.e., P(A) × P(B) × P(C).If this holds, then A, B, and C are completely independent.

Now, we can calculate,P(A and B and C) = P({1}) = 1/4 = P(A) × P(B) × P(C)Since P(A and B and C) = P(A) × P(B) × P(C), we can say that events A, B, and C are completely independent.

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According to the given luck experiment, the events A, B, and C are all independent of each other.

The sample space is N = {1, 2, 3, 4}.

It is defined that the possibilities A = {1, 2}, B = {1, 3}, and C = {1, 4}.

If the elementary possibilities are equally probable, let's consider the independence of the possibilities A, B, and C as follows;

The event A and B are independent if and only if P(A ∩ B) = P(A)P(B).

Probability of A = P(A) = n(A) / n(S) = 2/4 = 1/2

Probability of B = P(B) = n(B) / n(S) = 2/4 = 1/2

Possibility of A ∩ B = {1}

P(A ∩ B) = n(A ∩ B) / n(S) = 1/4

Now, P(A)P(B) = (1/2) (1/2) = 1/4

Hence, P(A ∩ B) = P(A)P(B).

Therefore, the events A and B are independent.

The event A and C are independent if and only if P(A ∩ C) = P(A)P(C).

Probability of C = P(C) = n(C) / n(S) = 1/2

Probability of A = P(A) = n(A) / n(S) = 1/2

Possibility of A ∩ C = {1}

P(A ∩ C) = n(A ∩ C) / n(S) = 1/4

Now, P(A)P(C) = (1/2) (1/2) = 1/4

Therefore, P(A ∩ C) = P(A)P(C)

Thus, the events A and C are independent.  

The event B and C are independent if and only if P(B ∩ C) = P(B)P(C).

Probability of B = P(B) = n(B) / n(S) = 1/2

Probability of C = P(C) = n(C) / n(S) = 1/2

Possibility of B ∩ C = {1}

P(B ∩ C) = n(B ∩ C) / n(S) = 1/4

Now, P(B)P(C) = (1/2) (1/2) = 1/4

Hence, P(B ∩ C) = P(B)P(C)

Thus, the events B and C are independent.

So, we have concluded that the events A, B, and C are all independent of each other.

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Answer:

Step-by-step explanation:

it is about math then b=base

and h =height

Answer:

see below

Step-by-step explanation:

-2.6

-2.2

-2.193

-2.01

Since they are negatives, the higher number it is, the smaller it actually is.  The smaller the number is, that number will be closer to 0 and will actually be higher than the rest.

Hope this helps! :)

Answer: w = 2/3p-1

Step-by-step explanation: You must subtract w from both sides and then factor the equation

Hello!

As we can see, our a value, which would be the coefficient of [tex]x[/tex], which determines our slope, is negative, meaning that this whole line is negative.

Furthermore, the correlation can be determined using the r value of the linear regression, which is around -0.9.

If the r value of the linear regression is close to 1 or -1, let's say around |r| > 0.8, then we can consider the regression a strong correlation, meaning that this is a strong negative correlation, which is answer choice A.

1. H

2. A

3. E

4. C

I have to type extra words to turn this in so basically I just found the slop of the line then matched it with the letters...

Answer:

gg

Step-by-step explanation:

gfg

The original equation (10x + 25) / (3x + 12) = 5x / (x + 4) has no valid solutions.

We have,

To determine the number of valid solutions for the equation

(10x + 25) / (3x + 12) = 5x / (x + 4), we need to solve the equation and check if there are any values of x that satisfy the equation while not causing any division by zero.

Let's solve the equation step by step:

(10x + 25) / (3x + 12) = 5x / (x + 4)

Cross-multiply to eliminate the fractions:

(10x + 25)(x + 4) = (3x + 12)(5x)

Expand both sides:

10x² + 40x + 25x + 100 = 15x² + 60x

Combine like terms:

10x² + 65x + 100 = 15x² + 60x

Subtract 10x² + 60x from both sides:

5x² + 5x + 100 = 0

Now we have a quadratic equation.

To solve it, we can use the quadratic formula:

x = (-b ± √(b² - 4ac)) / 2a

For the equation 5x² + 5x + 100 = 0, a = 5, b = 5, and c = 100.

Calculating the discriminant (b² - 4ac):

Discriminant = (5²) - (4 x 5 x 100)

Discriminant = 25 - 2000

Discriminant = -1975

Since the discriminant is negative (-1975), the quadratic equation has no real solutions.

Therefore,

The original equation (10x + 25) / (3x + 12) = 5x / (x + 4) has no valid solutions.

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Answer:

11 and 26

Step-by-step explanation:

x+x-15=37

x+x-15+15=37+15

x+x=52

2x=52

2x÷2=52÷2

x=26

26+26-15=37

37=37

Answer:

4.52

Step-by-step explanation:

volume of cone is

[tex]\pi {r}^{2} \frac{h}{3} [/tex]

h is 2.2

and

r is 1.4

The given equation represents the governing equation for a vibrating string subject to viscous damping. The equation involves the partial derivatives of the displacement function u(x, t) with respect to both time t and position x. The left-hand side of the equation captures the effects of inertia and elasticity of the string, while the right-hand side represents the damping term.

The term du(x, t)/dt^2 describes the acceleration of the string at a specific point (x, t) and is proportional to the second derivative of u with respect to time. The term d^2u(x, t)/dx^2 represents the curvature or bending of the string at that point and is proportion to the second derivative of u with respect to position.

The constant h represents the damping coefficient, which determines the level of damping present in the system. Higher values of h indicate stronger damping effects, while lower values imply less damping.

The equation states that the sum of the damping term and the terms related to inertia and elasticity is equal to 7 times the partial derivative of u with respect to time.

By solving this governing equation, one can determine the behavior of the vibrating string over time and space, taking into account the effects of viscous damping.

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Answer:

y = 36x

Step-by-step explanation:

y varies directly with x ,

that is y [tex]\propto[/tex] x

Let k be constant

=> y = kx

=> 108 = k(3)

=> k = 108/3

=> k = 36

y can be expressed in terms of x as kx or simply 36x . As we found value of constant as 36.

Answer:

the distance is 3 units

Step-by-step explanation:

Answer:

3 units

Step-by-step explanation:

The null hypothesis in this study is that there is no difference in mean keystrokes between the populations of students who drink and text and those who do not.

The null hypothesis in this study states that there is no difference in mean keystrokes between the populations of students who drink and text and those who do not. It assumes that the mean keystrokes for both groups are equal.

The sample means keystrokes for drinking texters is stated as 142, while for non-drinking texters, it is 120.

The sample variances for drinking and non-drinking texters are not provided in the question. Without the sample variances, it is not possible to calculate the standard error of the difference between means.

The calculated t-value and critical t-value are not given in the question. The comparison between the calculated t-value and critical t-value is necessary to determine the appropriate action.

Based on the comparison of the calculated t-value and critical t-value, the appropriate action to take is not specified in the question. It is usually done by comparing the calculated t-value with the critical t-value at a specific significance level. If the calculated t-value exceeds the critical t-value, the null hypothesis is rejected, suggesting a significant difference in mean keystrokes between the populations. If the calculated t-value is less than the critical t-value, the null hypothesis is retained, indicating no significant difference in mean keystrokes between the populations.

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Answer:

D) -cos(x)

Step-by-step explanation:

Answer: 50pi or about 157

Step-by-step explanation: Find the distance between the two points using the Pythagorean theorem, and since that is the radius double it to get the diameter, then multiply that by pi to get the answer. Hope this helps!

Answer:

Circumference ~ 157

Step-by-step explanation:

Use the distance formula to find the radius. The radius is 25. Plug 25 into the formula 2(pi)r to get 50pi or about 157.

Answer:

9, 10, 11, 12, 13, 14, 15

Step-by-step explanation:

0 + 9 = 9

1 + 9 = 10

2 + 9 = 11

3 + 9 = 12

4 + 9 = 13

5 + 9 = 14

6 + 9 = 15

The sequence of at least six numbers, by using rule x + 9 Start with x = 0 is 9, 10, 11, 12, 13, 14.

An ordered collection of objects that allows repetitions is referred to as a sequence. It has members, just like a set does. The length of the sequence is determined by the number of items.

Given:

x + 9

First sequence, Put x = 0

0 + 9 = 9

Second sequence, put x = 1

1 + 9 = 10

Second sequence, put x = 2

2 + 9 = 11

Second sequence, put x = 3

3 + 9 = 12

Second sequence, put x = 4

4 + 9 = 13

Second sequence, put x = 5

5 + 9 = 14

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However, we know that the correct option is c, because the observation is one standard deviation greater than the mean.

The Z score for the observation of 500 has the meaning that the observation is one standard deviation greater than the mean. Therefore, the correct option is c. The Z score is a measure of how far a data point is from the mean, in terms of the number of standard deviations.

It's calculated by subtracting the mean from the observation, then dividing by the standard deviation. So, if the Z score is positive, it means the observation is above the mean, while a negative Z score means the observation is below the mean.

In this case, we are told that the observation has a Z score of 1. This means that the observation is 1 standard deviation above the mean. Since the mean is not given, we cannot say whether option a or option d is correct.

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The Z score for the observation of 500 has meaning that the observation is by one standard deviation greater than the mean.

To find the Z-score.

A Z-score, also known as a standard score, is the number of standard deviations from the mean that a data point.

The formula for calculating the Z-score is: Z = (X - μ) / σ, where X is the raw score being transformed, μ is the mean of the population, σ is the standard deviation of the population.

Given that Z-score is the number of standard deviations from the mean that a data point is, the Z score for the observation of 500 has meaning that the observation is by one standard deviation greater than the mean.

Therefore, option (c) is the correct answer: The observation is by one standard deviation greater than the mean.

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The most appropriate procedure for the given example is the Chi-square test of independence.

Chi-square test of independence: This statistical test is used to determine if there is a significant association between two categorical variables. In this case, the researcher wants to investigate the relationship between gender (male or female) and career choice (predominantly male, predominantly female, or neutral). The test will help determine if there is a dependency between gender and career choice.

a. Formulate hypotheses: The null hypothesis (H0) states that there is no association between gender and career choice, while the alternative hypothesis (Ha) states that there is an association.

b. Set the significance level (alpha): Typically, it is set to 0.05 or 0.01, depending on the desired level of confidence.

c. Create a contingency table: Construct a table that shows the observed frequencies of career choices for each gender.

d. Calculate expected frequencies: Compute the expected frequencies under the assumption of independence between gender and career choice.

e. Calculate the chi-square statistic: Determine the chi-square statistic based on the observed and expected frequencies.

f. Determine the critical value: Look up the critical value from the chi-square distribution table using the degrees of freedom and chosen alpha level.

g. Compare the chi-square statistic and critical value: If the chi-square statistic is greater than the critical value, reject the null hypothesis and conclude that there is a significant association between gender and career choice. If it is not, fail to reject the null hypothesis.

h. Interpret the results: Based on the conclusion, provide an interpretation of the findings, indicating whether there is evidence of a relationship between gender and career choice.

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Answer: G

Step-by-step explanation:

Answer:

Step-by-step explanation:

Edg 2021