Im giving brainliest

Answer:

why shoulds i answer them?

Step-by-step explanation:

Okay okay fine i will answer them just add me first!

Answer:with what

Step-by-step explanation:

Answer:

A. 300h = 900

Step-by-step explanation:

V = lwh

900 = (25)(12)h

900 = 300h

300h = 900

The values of all sub-parts have been obtained.

(a). There are three varieties were in the experiment.

(b). ANOVA condition has been obtained.

(c). Pooled standard deviation is 9.7742.

What is ANOVA?

To examine how different means differ from one another, analysis of variance is a collection of statistical models and the corresponding estimate techniques. Ronald Fisher, a statistician, created the ANOVA.

(a). Suppose that there are 1 variety or group in the study.

given df (between) = 2 and df (between) = (l - 1).

Therefore,

l = df (between) + 1

l = 2 + 1

l = 3.

(b). In the given ANOVA the p-value (prob = 0.6801) is large enough to accept the null hypothesis thus there is sufficient evidence to conclude that the always yield (bu/acre) of different verities of oats in three groups in same.

(c) Evaluate the pooled standard deviation:

Given MS (with in) = 95.3342 pooled standard deviation is,

Spooled = √(MS (with in))

Spooled = √95.3342

Spooled = 9.7742.

Hence, the values of all sub-parts have been obtained.

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Answer:

√53

Step-by-step explanation:

Use the distance formula to find the distance between the two coordinates

Answer:

100feet

Step-by-step explanation:

Given the height reached by a dolphin expressed by the equation is h = -16t^2 + 80t. At maximum height, the velocity is zero, hence;

v(t) = dh/dt = -32t + 80

0 = -32t + 80

32t = 80

t = 80/32

t = 2.5secs

Substitute t = 2.5 into the height formula h = -16t^2 + 80t

h = -16(2.5)^2 + 80(2.5)

h = -100+200

h = 100feet

Hence  the maximum height the dolphin jumps is 100feet

The two true statements are: b.) The value for the degrees of freedom for Mary's sample population is six, and e.) Mary would use the sample standard deviation to calculate a t-statistic.

a.) The t-distribution that Mary uses does not have skinnier tails than a standard distribution. In fact, the t-distribution has fatter tails, which accounts for the increased variability when working with small sample sizes.

b.) The degrees of freedom for Mary's sample population can be calculated as the number of subjects minus one, which in this case is 7 - 1 = 6. So statement b is true.

c.) The t-distribution that Mary uses is not taller than a standard distribution. The shape of the t-distribution is similar to the standard normal distribution, but it is slightly flatter.

d.) Mary would not use the population standard deviation to calculate a t-distribution. Instead, she would use the sample standard deviation, which provides an estimate of the population standard deviation.

e.) Mary would use the sample standard deviation to calculate a t-statistic. The t-statistic measures the difference between the sample mean and the hypothesized population mean, relative to the variability in the sample.

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Answer:

A. 20.2 ft.

Step-by-step explanation:

Use the pythagorean theorem to find the missing side length.

a^2+b^2=c^2

11^2+17^2=c^2

Answer:

1:3 red to blue

Step-by-step explanation:

you have x shirts. Let's call the number of red shirts r and the number of blue shirts b.

r = x * 1/4

b = x - r = x - (x * 1/4) = x * 3/4

r:b = (x * 1/4):(x * 3/4) = (1/4):(3/4) = 1:3

Answer:

The horizontal distance is 46.1 miles.

Step-by-step explanation:

Here, the given question can be explained by the sides of a right angled triangle. Let x represent the horizontal miles, then applying an appropriate trigonometric function;

Tan θ = [tex]\frac{opposite}{adjacent}[/tex]

Tan [tex]7.9^{o}[/tex] = [tex]\frac{6.4}{x}[/tex]

0.1388 = [tex]\frac{6.4}{x}[/tex]

x = [tex]\frac{6.4}{0.1388}[/tex]

  = 46.1095

x = 46.1 miles

The plane needs to travel a horizontal distance of 46.1 miles.

Answer:

D

Step-by-step explanation:

sorry im on my school computer so the picture is blocked :(

Answer:

A.) 1/7^8

Step-by-step explanation:

guy in the comments said it and i got it write, so this is for the people that cant see the comments.

Answer:

2.268 tons

Step-by-step explanation:

Multiply 840 to 2.7 to figure out the weight of 840 bricks.

840 x 2.7 = 2268 kilograms

Convert 2268 kilograms into tons which will be 2.268 tons.

How did I convert? Divide 2268 by 1000 because 1 ton = 1000 kilograms.  

Answer:

y=-1/3x+5

Step-by-step explanation:

I know the equation would be y=-1/3x+5 because of slope intercept form.

y=mx+b

y= the y coordinate of a point on the graph

m= slope of the graph

x= the x coordinate of a point on the graph

b= y intercept

We know the slope of the graph is -1/3, and we know the y- intercept of the graph is 5.

So, the equation is y=-1/3x+5.

The equation of the following line is y= -1/5x.

Option F is correct.

A line's slope is determined by how its y coordinate changes in relation to how its x coordinate changes. y and x are the net changes in the y and x coordinates, respectively. Therefore, it is possible to write the

change in y coordinate with respect to the change in x coordinate as,

m = Δy/Δx where, m is the slope

From the graph we have the coordinates as (0, 0) and (10, -2)

So, the slope of the line is

= (-2 - 0) / (10- 0)

= -2/ 10

= 1-5

and, using the slope intercept is

y= mx+ b

y= -1/5x + b

Now, put x= 0 and y= 0 in above equation

0 = 1/5(0) + b

b= 0

So, the Equation of line is

y= -1/5x

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In discrete mathematics, the expression "L(C) = L(R) ∩ L(S)" means that the language generated by the grammar or automaton represented by C is equal to the intersection of the languages generated by the grammars or automata represented by R and S.

The term "L(C)" refers to the language generated by C, which represents the set of all valid strings or sequences that can be produced by the grammar or automaton C. Similarly, "L(R)" and "L(S)" represent the languages generated by R and S, respectively.

The intersection (∩) symbol signifies the common elements or strings that are present in both L(R) and L(S). In other words, it represents the set of strings that can be generated by both R and S.

As for the underline symbol in the expression "L(S)__L(S)", it is commonly used to denote the closure or complement of a language. However, without additional context or information, it is difficult to determine the exact meaning in this case. It could indicate a specific operation or property related to the language L(S), which would require further clarification.

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The discordance between the evolution of genes and culture relates to the concept of "mismatch" in the article, highlighting the misalignment between our genetics and the rapidly changing cultural environment.

The discordance between the evolution of genes and culture refers to the fact that human genes evolve slowly over long periods, while cultural changes occur rapidly. This raises the question of why our genes haven't caught up with the cultural changes happening around us. This concept of mismatch is explored in the article to highlight the misalignment between our genetic predispositions and the demands of the rapidly changing cultural environment.

The article likely delves into how this mismatch can lead to various challenges and conflicts, such as the prevalence of modern diseases or psychological conditions arising from the discrepancy between our evolutionary heritage and the cultural context we find ourselves in today. By examining this concept, the article aims to shed light on the potential consequences and implications of the evolutionary-cultural mismatch.

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The intersection of N(x) and N'(x), denoted by N(x)∩N'(x), is an open neighborhood of x. Since N(x)∩N'(x) ⊆ N(x) ⊆ U and N(x)∩N'(x) ⊆ N'(x) ⊆ X\U, we can conclude that N(x)∩N'(x) ⊆ UA.

Since N(x)∩A is a non-empty set contained in A\U, we have shown that every point in (A\U)' has a neighborhood contained in A\U. Therefore, (A\U)' is open in X, which implies that A\U is closed in X.

To show that if U is open in X and A is closed in X, then UA is open in X and A\U is closed in X, we need to prove two statements:

Let's prove these statements one by one:

Let x be an arbitrary point in UA. Since x is in UA, it must belong to U as well as A. Since U is open in X, there exists an open neighborhood N(x) of x that is completely contained within U. Now, since x is in A, it is also in X\U (complement of U in X). As A is closed in X, X\U is closed in X, which means its complement, U, is open in X. Therefore, there exists an open neighborhood N'(x) of x that is completely contained within X\U.

Now, consider the intersection of N(x) and N'(x), denoted by N(x)∩N'(x). This intersection is an open neighborhood of x. Since N(x)∩N'(x) ⊆ N(x) ⊆ U and N(x)∩N'(x) ⊆ N'(x) ⊆ X\U, we can conclude that N(x)∩N'(x) ⊆ UA.

Since N(x)∩N'(x) is an open neighborhood of x completely contained within UA, we have shown that UA is open in X.

Let x be an arbitrary point in (A\U)'. Since x is not in A\U, it means that x must either be in A or in U (or both). If x is in A, then x is not in A\U. Therefore, x is in U.

Since x is in U and U is open in X, there exists an open neighborhood N(x) of x that is completely contained within U. Now, consider the intersection of N(x) and A. Since x is in A, N(x)∩A is a non-empty set. Let y be any point in N(x)∩A.

We know that N(x)∩A ⊆ U∩A ⊆ A\U, because if y was in U, it would contradict the assumption that y is in A. Therefore, N(x)∩A is a subset of A\U.

Since N(x)∩A is a non-empty set contained in A\U, we have shown that every point in (A\U)' has a neighborhood contained in A\U. Therefore, (A\U)' is open in X, which implies that A\U is closed in X.

Hence, we have shown that if U is open in X and A is closed in X, then UA is open in X, and A\U is closed in X.

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Answer:

Step-by-step explanation:

multiply all three values

The order of approximation in Romberg integration is determined by the number of iterations (k) and can be expressed as [tex]2^(2k)[/tex].

When using Romberg integration, the order of approximation refers to the rate at which the error decreases as the step size (h) is reduced. Romberg integration combines the trapezoidal rule with Richardson extrapolation to achieve higher accuracy.

In Romberg integration, the order of approximation is determined by the highest power of h that contributes to the error term. The error term for Romberg integration is typically of the form [tex]O(h^{2n})[/tex], where n is the order of approximation.

The Romberg integration method can achieve various orders of approximation depending on the number of iterations performed. The number of iterations is usually denoted by k, and the order of approximation can be expressed as [tex]2^{2k}[/tex].

So, if Rey gives an approximation of order h10, h8, h4, h6, it means that the Romberg integration method has been applied with different numbers of iterations (k) to achieve different orders of approximation. The higher the order, the more accurate the approximation will be.

It's important to note that Romberg integration is typically denoted by a sequence of numbers, such as R(k, m), where k is the number of iterations and m is the number of function evaluations per iteration. The notation h10, h8, h4, h6 doesn't correspond directly to the traditional Romberg integration notation.

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Answer:

The original speed of the grey wolf can be 9 and/or 48 km/hour

Step-by-step explanation:

There are two trips. One to King Castle (KC) to Magic Apple Garden (MAG), and then back (MAG - KC).

First trip: KC - MAG

It takes the same distance as MAG - KC so distance can be D for both.

Then it is stated that it takes 5 hours or 300mins for him to go from KC - MAG, and the speed is constant.

Let x be speed.

So the equation for this is:

D=5x

Second trip: MAG - KC

Here he goes 36 mi at constant speed (x), then picks up his speed by 3 km/hour (x+3).

For Time:

He reaches to KC, 15 mins earlier than KC - MAG, so he reaches there in 4.75 hours or in 275 min.

The problem splits into two as there are two different times, for the two parts of the journey or distance for MAG - KC.

Let T#1 = a, and T#2 = b.

Let D#2 = D-36

The equation for a:

a = 36/x --> This is he is at a constant speed and went for 36mi.

Next:

The equation for b:

b = (x+3)/D#2

These two equation have to be added as (a+b) = 4.75 --> 4.75 is the total time for MAG - KC.

So the equation is:

36/x + (5x-36)/x+3 = 4.75 --> Knowing (a+b) = 4.75, just put 4.75 as the equal, and add the fractions that equal (a) and (b).

Now Solve:

36/x + (5x-36)/x+3 = 4.75

0.25s^2 + 108 + 5s^2 - 36s = 4.75s*(s+3)

0.25s^2 - 14.25s + 108 = 0

(14.25 +- Square root (203.06 - 108))/0.5

(14.25 +- Square root (95.0625))/0.5

(14.25 +- 9.75)/0.5

Answer:

s = 9, s=48.

Therefore the original speed of the grey wolf can be 9 and/or 48 km/hour.

9514 1404 393

Answer:

  True

Step-by-step explanation:

We assume your equation is intended to be ...

  [tex]\sqrt{x+56} =x[/tex]

The usual method of solution squares both sides, then solves the resulting quadratic.

  [tex]x+56=x^2\\\\x^2-x-56=0\\\\(x-8)(x+7)=0\longrightarrow x=\{-7,+8\}[/tex]

Considering the initial problem, we require x ≥ 0, so the x=-7 solution is extraneous.

__

A graphical solution shows there is only one value of x that satisfies the equation. The other "solution" arises from considering the negative square root. It is introduced when the equation is squared.

The null hypothesis of a sign test is "the population median equals 0." This hypothesis assumes that the median of the population, from which the sample is drawn, is equal to zero.

The sign test is a non-parametric statistical test used when the data is measured on an ordinal scale or when the assumptions for parametric tests are not met.

In a sign test, we compare the observed data to a specified value, typically denoted as "M0" or "m0." This value represents the hypothesized population median.

The null hypothesis assumes that the population median is equal to the specified value. In this case, the specified value is zero.

The alternative hypothesis, in contrast, would state that the population median is not equal to the specified value.

During the sign test, we focus on the signs of the differences between the observed values and the specified value. We count the number of positive and negative differences.

The test statistic is the smaller of the two counts, and its probability distribution is approximated by the binomial distribution.

By comparing the test statistic to the critical values from the binomial distribution, we determine whether there is enough evidence to reject the null hypothesis.

In summary, the null hypothesis for a sign test is that the population median is equal to the specified value, which in this case is zero.

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Answer:

The Answer is lime 2 if not line 4

Step-by-step explanation:

YEp:)

we expect around 1464 Lagrangian Toads to live between 9 years and 19 years.

To solve this problem, we need to calculate the probability that a Lagrangian Toad's life expectancy falls between 9 years and 19 years, given a normal distribution with a mean of 15 years and a standard deviation of 2 years.

First, we calculate the z-scores for the lower and upper bounds of the desired range:

Lower z-score = (9 - 15) / 2 = -3

Upper z-score = (19 - 15) / 2 = 2

Next, we use the z-scores to find the cumulative probability using a standard normal distribution table or calculator.

P(Z < -3) ≈ 0.0013

P(Z < 2) ≈ 0.9772

To find the probability between these two z-scores, we subtract the lower probability from the upper probability:

P(-3 < Z < 2) ≈ 0.9772 - 0.0013 = 0.9759

This means that approximately 97.59% of the Lagrangian Toads in the population are expected to live between 9 years and 19 years.

To find the number of Lagrangian Toads in this range, we multiply the probability by the total population size:

Number of Lagrangian Toads = 0.9759 * 1500 ≈ 1463.85

Rounding to the nearest whole number, we expect around 1464 Lagrangian Toads to live between 9 years and 19 years.

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Answer:

it's the first one

Step-by-step explanation:

you'd get each output (y) when you subtract 4 from whatever x is