AABC is rotated 90° clockwise about the origin.
-48
-16
-14
12
10
4
N
C(6. 12)
B(18,6)
A(12, 0)
24 6 8 10 12 14 16 18
What are the coordinates of B'?
A. (-18,6)
B. (-6, 18)
C. (6, 18)
D. (6, -18)

Answer:

1414 tickets, in explanation

Hope this helps!

Step-by-step explanation:

1 ticket = $9.50

? tickets = $13,433

13,433 ÷ 9.50 = 1414

9.50 × 1414 = 13,433

1 ticket × 1414 = ? tickets

? tickets = 1414 tickets

The solution to the inequality is:

x ∈ (26/33, ∞)

i) We can simplify the left-hand side of the inequality as follows:

2|2x + 71| + 2 ≤ 24

2|2x + 71| ≤ 22

|2x + 71| ≤ 11

Next, we can split this into two separate inequalities, depending on the sign of (2x + 71):

2x + 71 ≤ 11

2x ≤ -60

x ≤ -30

or

2x + 71 ≥ -11

2x ≥ -82

x ≥ -41

Therefore, the solution to the inequality is:

x ∈ (-∞, -30] ∪ [-41, ∞)

ii) We can solve for x as follows:

33x - 2 > 24

33x > 26

x > 26/33

Therefore, the solution to the inequality is:

x ∈ (26/33, ∞)

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Part A - The pH of the buffer solution is 6.37.

Net ionic equation is [tex]H_2CO_3[/tex] + [tex]OH^-[/tex] → [tex]HCO^{3-}[/tex] + [tex]H_2O[/tex]

Part B - The pH of the buffer solution is 6.38.

Net ionic equation is [tex]H_2CO_3[/tex] + [tex]I^-[/tex] → [tex]HCO^{3-}[/tex] + [tex]H_3O^+[/tex]

Part A: To find the pH of the buffer solution, we first need to calculate the pKa of the weak acid. The pKa is -log(Ka1), so pKa1 = -log(4.20 x [tex]10^{-7}[/tex]) = 6.38.

Next, we can use the Henderson-Hasselbalch equation to find the pH: pH = pKa1 + log([[tex]A^-[/tex]]/[HA]).

Plugging in the values for the buffer solution, we get pH = 6.38 + log(0.304/0.304) = 6.38. Therefore, the pH of the buffer solution is 6.38.

The net ionic equation for the reaction when 0.088 mol KOH is added to 1.00 L of the buffer solution is:

[tex]H^+[/tex] + [tex]OH^-[/tex] → [tex]H_2O[/tex]

Part B: Similar to Part A, we first need to calculate the pKa of the weak acid. pKa1 = -log(4.20 x [tex]10^{-7}[/tex]) = 6.38.

Then, we can use the Henderson-Hasselbalch equation to find the pH: pH = pKa1 + log([A-]/[HA]).

Plugging in the values for the buffer solution, we get pH = 6.38 + log(0.311/0.311) = 6.38. Therefore, the pH of the buffer solution is 6.38.

The net ionic equation for the reaction when 0.089 mol HI is added to 1.00 L of the buffer solution is:

[tex]H_3O^+[/tex] + [tex]I^-[/tex] → HI + H2O

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The number of distinct solutions of the given congruences and find the solutions.

a) 7x = 9 (mod 14) has no solution

b) 8x = 9 mod (mod 11) [tex]x\equiv 8 \hspace{0.1cm}(mod \hspace{0.1cm}11)[/tex]

c) 16x = 20 (mod 36) [tex]8, 17, 26, 35 \hspace{0.2cm}mod(36)[/tex]

(a) 7x = 9mod(14) 20

Here, gcd(7,14) =7 , and we know that 7 does not divide 9.

Thus, from Theorem 1, we can say that it has no solution.

(b)8x =  9 mod(11)

Here, gcd(8,11) = 1, so using theorem 2, we can say that it has a unique solution.

For that we need to find [tex]\phi (11)[/tex],  Since 11 is an prime number, therefore the gcd of 11 with any positive integer smaller than 11 will be 1. So,

[tex]\phi (11)[/tex] = 10  = |{1,2,3,..., 10}| ,

So, the solution for the congruence is given by using theorem 2:

[tex]x\equiv a^{\phi (m)-1}b \hspace{0.1cm}(mod \hspace{0.1cm}m)[/tex]

x = 810-19 (mod 11) (

x = 88*9*8 (mod 11)

[tex]x\equiv 64^{4}*72 \hspace{0.1cm}(mod \hspace{0.1cm}11)x\equiv 9^{4}*6 \hspace{0.1cm}(mod \hspace{0.1cm}11)x\equiv 81^{2}*6 \hspace{0.1cm}(mod \hspace{0.1cm}11)[/tex]

x = 16 * 6 (mod 11)

2 = 5*6 (mod 11

[tex]x\equiv 8 \hspace{0.1cm}(mod \hspace{0.1cm}11)[/tex]

which is the final solution.

(c) [tex]16x\equiv 20 \hspace{0.1cm}(mod \hspace{0.1cm}36)[/tex]

Here, d=gcd(16,36) =4 and 4 divides 20, so it has 4 unique solutions.

So, we will use theorem 3.

Divide by 4 whole congruence:

[tex]16x/4\equiv 20/4 \hspace{0.1cm}(mod \hspace{0.1cm}36/4)[/tex]

[tex]4x\equiv 5 \hspace{0.1cm}(mod \hspace{0.1cm}9)[/tex]

[tex]So, \phi (9)=\left | \left \{ 1,2,4,5,7,8 \right \} \right |=6[/tex]

[tex]So, x\equiv 4^{\phi (9)-1}*5 \hspace{0.1cm}(mod \hspace{0.1cm}9)[/tex]

[tex]x\equiv 4^{5}*5 \hspace{0.1cm}(mod \hspace{0.1cm}9)[/tex]

[tex]x\equiv 4^{4}*20 \hspace{0.1cm}(mod \hspace{0.1cm}9)[/tex]

[tex]x\equiv 16^{2}*20 \hspace{0.1cm}(mod \hspace{0.1cm}9)[/tex]

x = 72 * 2 (mod 9)

[tex]x\equiv 8 \hspace{0.1cm}(mod \hspace{0.1cm}9)[/tex]

Thus, the 5 unique solutions using theorem3 are given as follows:

[tex]t,t+\frac{m}{d}, t+\frac{2m}{d},. . ., t+\frac{(d-1)m}{d} \hspace{0.2cm} mod(m)[/tex]

[tex]8, 17, 26, 35 \hspace{0.2cm}mod(36)[/tex].

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In an English literature course, the professor asks students to read three books by selecting one memoire, one book of poetry, and one novel to read. The students can select these books from a list of 8 memoires, 9 poetry books, and 4 novels.

To determine how many different ways a student can select their reading assignment of three books, we will use the multiplication principle.

1. Choose one memoire:  There are 8 memoires to choose from, so there are 8 ways to make this choice.
2. Choose one book of poetry:  There are 9 poetry books to choose from, so there are 9 ways to make this choice.
3. Choose one novel:  There are 4 novels to choose from, so there are 4 ways to make this choice.

Now, multiply the number of choices for each step together to find the total number of ways to select the reading assignment:

8 (memoires) x 9 (poetry books) x 4 (novels) = 288 different ways to select the reading assignment of three books.

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Answer: 10x - 1 and 20x - 12

Step-by-step explanation:

perimeter is defined as the distance around a figure:

as such, the perimeter of this triangle is: (2x -3) + (3x + 5) + (5x - 3)

which simplifies to 10x - 1

Area is a little bit tougher. the area of a triangle is defined as 0.5 base x height.

both are given, so we simply plug in: 0.5 x (5x-3) x 8 = 4(5x-3) = 20x - 12

And thats it!

the Perimeter is 10x - 1 units.

the Area is 20x - 12 square units.

Answer:

The correct answer is the option 3

Answer:

Part A:

Sunday newspaper: Start at $36 and add $4 for each paper delivered.

Saturday newspaper: Start at $12 and add $2.50 for each paper delivered.

Part B:

To calculate Stevic's total earnings after delivering 15 papers on each day:

Earnings from Sunday papers = $36 + ($4 x 15) = $96

Earnings from Saturday papers = $12 + ($2.50 x 15) = $49.50

Total earnings = Earnings from Sunday papers + Earnings from Saturday papers

Total earnings = $96 + $49.50

Total earnings = $145.50

Therefore, Stevic's total earnings after delivering 15 papers on each day is $145.50.

Step-by-step explanation:

To solve this problem, we need to find the z-score corresponding to the 14th percentile of the normal distribution. We can then use this z-score to find the corresponding value of K.

First, we find the z-score corresponding to the 14th percentile using a standard normal distribution table or calculator. The 14th percentile is equivalent to a cumulative probability of 0.14, which corresponds to a z-score of approximately -1.08.

Next, we use the formula z = (x - μ) / σ to find the corresponding value of K. Rearranging this formula, we get x = μ + z * σ. Plugging in the values we know, we get:

K = 11 + (-1.08) * 0.25
K = 10.73 cm

Therefore, there is a 14% chance that a randomly selected cylindrical metal bar has a length longer than 10.73 cm.

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Since we know that the heptagon is convex, all of its interior angles are less than 180 degrees. Let's call the smallest angle x degrees.

According to the problem, the other six angles are each 1 degree larger than the angle just smaller than it. This means the second angle is x+1, the third angle is x+2, and so on, until we get to the seventh angle which is x+6.

We know that the sum of the interior angles of a heptagon is (7-2) * 180 = 900 degrees. So we can set up an equation:

x + (x+1) + (x+2) + (x+3) + (x+4) + (x+5) + (x+6) = 900

Simplifying this equation, we get:

7x + 21 = 900

Subtracting 21 from both sides:

7x = 879

Dividing both sides by 7:

x = 125.57

So the smallest angle is approximately 125.57 degrees.

To find the fourth largest angle, we need to find the value of x+3.

x+3 = 125.57 + 3 = 128.57

So the fourth largest angle is approximately 128.57 degrees.

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The best measure of variability for the data and the player which was more consistent include the following: B. Player B is the most consistent, with a range of 9.

In Mathematics and Statistics, interquartile range (IQR) of a data set and it is typically calculated as the difference between the first quartile (Q₁) and third quartile (Q₃):

Interquartile range (IQR) of Player A = Q₃ - Q₁

Interquartile range (IQR) of Player A = 4 - 1.5

Interquartile range (IQR) of Player A = 2.5.

Range of Player A = Highest number - Lowest number

Range of Player A = 8 - 1

Range of Player A = 7

Interquartile range (IQR) of Player B = Q₃ - Q₁

Interquartile range (IQR) of Player B = 5 - 1.5

Interquartile range (IQR) of Player B = 4.5.

Range of Player B = Highest number - Lowest number

Range of Player B = 10 - 1

Range of Player B = 9

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The number of hours that it will take Lindsey to rake the lawn alone will also be 3 hours just like Camilla.

The total number of hours it takes two people to rake the lawn = 2 hours.

The more people the less number of hours it will take to take the lawn.

That is;

If 2 people = 2 hours

Camilla = 3 hours

1 person (Lindsey) = 3 hours.

Therefore, for either Lindsey or Camilla, they will rake separately for 2 hours when working alone.

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Answer: You can convert it by dividing it by 12 which would give you 3.5 and since half of 12 is 6 the answer is 3ft and 6inches

Step-by-step explanation:

When conducting a hypothesis test, a(an) **b. t-statistic** is more appropriate than a z-score when you don't know the population variance or the population standard deviation. The t-statistic takes into account the sample size and is better suited for situations where population parameters are unknown.

When conducting a hypothesis test, a t-statistic is more appropriate than a 2-score when you don't know the population variance or the population standard deviation. The t-statistic is used to test hypotheses about population means when the sample size is small or when the population standard deviation is unknown.

The t-statistic is calculated by dividing the difference between the sample mean and the hypothesized population mean by the standard error of the mean, which takes into account the variability of the sample.

The t-statistic is compared to a critical value from a t-distribution with n-1 degrees of freedom, where n is the sample size. The level of significance, or alpha value, is also used to determine the critical value. Sample variance and Cohen's d are other statistical measures used in hypothesis testing but are not specifically related to the use of t-statistics.

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Option C, "A study shows that the average student leaves a four-year college with a student loan debt of more than $30,000", involves descriptive statistics.

The area of statistics known as descriptive statistics deals with the gathering, organizing, organizing, analyzing, interpreting, and presenting of data. It summarizes and describes the main features of a dataset, including measures of central tendency (such as mean, median, and mode) and measures of variability (such as range, standard deviation, and variance). Option C presents a descriptive statistic (the average student loan debt) that summarizes a larger dataset, making it the correct answer.

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From the graph, the complex number with the greatest modulus is z1

From the question, we have the following parameters that can be used in our computation:

The complex numbers z1, z2, z3 and z4

The general rule of modulus of complex numbers is that

The complex number that has the greatest modulus is the complex number that is at the farthest distance from the origin

Using the above as a guide, we have the following:

From the graph, the complex number that is at the farthest distance from the origin is the complex number z1

Hence, the complex number with the greatest modulus is z1

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The condition that is one of the assumptions of a valid multiple linear regression model is: the relationship between the dependent and independent variables is linear.

Condition that is one of the assumptions of a valid multiple linear regression model is that the relationship between the dependent and independent variables is linear. This means that the change in the dependent variable is proportional to the change in each independent variable, and there is no curved or nonlinear relationship between them. The assumption of linear independence of the independent variables is also important, meaning that they are not highly correlated with each other.

The assumption of constant residuals means that the errors in the model are consistent across all values of the independent variables. The assumption of a quadratic relationship between the dependent and independent variables is not appropriate for a multiple linear regression model.

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The value of the unknown angle is 68°

Trigonometric Ratios are defined as the values of all the trigonometric functions based on the value of the ratio of sides in a right-angled triangle.

Sin(tetha) = opp/hyp

cos(tetha) = adj/hyp

tan(tetha) = opp/adj

In the triangle, 51 is the opposite and 55 is the hypotenuse.

therefore;

sin(tetha) = 51/55

sin(tetha) = 0.927

tetha = sin^-1( 0.927)

tetha = 67.97

approximately to 68°

therefore the value of the unknown angle is 68°

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Given a ray passing through a line at an angle of 29 degrees, the angle opposite to it (angle R) can be found by subtracting 29 degrees from 180 degrees. Therefore, the value of angle R is 151 degrees.

We are given that a ray passes through a line, making an angle of 29 degrees with the line. Let us represent this situation as follows

The angle R represents the angle opposite to the angle of 29 degrees. Since the ray and the line form a straight line, their angles add up to 180 degrees. Therefore, we can write

angle R + 29 degrees = 180 degrees

To solve for angle R, we can subtract 29 degrees from both sides of the equation

angle R = 180 degrees - 29 degrees

Simplifying the expression, we get

angle R = 151 degrees

Therefore, the value of angle R is 151 degrees.

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The answer of the compound inequality 3 < 3x + 9 < 24 is -2 < x < 5.

To solve the compound inequality 3 < 3x + 9 < 24, we need to isolate the variable x.

First, we will subtract 9 from all parts of the inequality:

3 - 9 < 3x + 9 - 9 < 24 - 9

-6 < 3x < 15

Next, we will divide all parts of the inequality by 3 (remembering to flip the direction of the inequality if we divide by a negative number):

-6/3 < 3x/3 < 15/3

-2 < x < 5

Therefore, the solution to the compound inequality 3 < 3x + 9 < 24 is -2 < x < 5.

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The midpoint of the two points of P (-3,-7) and Q (3,-5) is (0, -6).

When you have the vertices of two points, you can find the midpoint by the formula :

= ( ( x 1 + x 2 ) / 2 , ( y 1 + y 2 ) / 2 )

Solving for the midpoint therefore gives:

= ( ( - 3 + 3 ) / 2 , ( - 7 + ( - 5 ) ) / 2 )

=  ( 0 / 2 , ( - 12 ) / 2 )

= (0, -6)

In conclusion, the midpoint is (0, -6).

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The standard deviation of the total sales per day for the shoe store is approximately $1743.28.

To find the standard deviation of the total sales per day for the shoe store, we need to first find the mean and variance of the total sales.

The number of customers visiting the store follows a Poisson distribution with a rate of 70 per day. Let X be the number of customers per day, then X ~ Poisson(70).

The proportion of customers that make a purchase is 45%. Let Y be the number of customers that make a purchase, then Y ~ Binomial(X, 0.45).

The amount spent by a paying customer follows an exponential distribution with a mean of $120. Let Z be the amount spent by a paying customer, then Z ~ Exp(1/120).

Now, let's find the mean and variance of the total sales per day.

E[XY] = E[E[XY|X]] = E[X * 0.45] = 70 * 0.45 = 31.5

E[Z] = 120

E[XYZ] = E[E[XYZ|XY]] = E[XY * 120] = 31.5 * 120 = 3780

Var(XY) = E[Var(XY|X)] + Var(E[XY|X]) = E[X * 0.45 * 0.55] + Var(X * 0.45) = 70 * 0.45 * 0.55 + 70 * 0.45 * 0.55 = 17.325

Var(Z) = 120^2

Var(XYZ) = E[Var(XYZ|XY)] + Var(E[XYZ|XY]) = E[XY * 120^2] + Var(XY * 120) = 31.5 * 120^2 + 17.325 * 120^2 = 3035250

Therefore, the variance of the total sales per day is Var(XYZ) = 3035250.

The standard deviation of the total sales per day is the square root of the variance:

SD(XYZ) = sqrt(3035250) = 1743.28

Therefore, the standard deviation of the total sales per day for the shoe store is approximately $1743.28.

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Answer:

The mean weight of six boys as per the incorrect data is 59.1667 kilograms.

The actual mean weight of the boy's group is 58.5 kilograms.

To find the mean weight of the six boys as per the incorrect data, we add up all the weights and divide by 6:

(55 + 58 + 57 + 60 + 59 + 65)/6 = 354/6 = 59.1667 kilograms

To find the actual mean weight of the boy's group, we add up the weights of the first five boys and the corrected weight of the sixth boy, and divide by 6:

(55 + 58 + 57 + 60 + 59 + 56)/6 = 345/6 = 58.5 kilograms

Step-by-step explanation:

The value of the iterated integral  ∫85∫√x12ye−xdydx is

-[tex]4e^(-5) + 7e^(-8)[/tex] where the inner integral is first integrated with respect to y.

We are inquiring to assess the iterated integral:

[tex]∫85∫√x12ye−xdydx[/tex]

We are able to coordinate the internal integral, to begin with regard to y:

[tex]∫√x12ye−xdy = (-1/2)e^(-x) y√x1/2 | from y = to y = √x^1/2[/tex]

[tex]= (-1/2)e^(-x) (√x^1/2)^2 - (-1/2)e^(-x) (0)[/tex]

[tex]= (-1/2)x e^(-x)[/tex]

Substituting this into the first necessity, we get:

[tex]∫85∫√x12ye−xdydx = ∫85(-1/2)x e^(-x)dx[/tex]

To assess this necessarily, we utilize integration by parts with u = x and [tex]dv = e^(-x) dx, so that du/dx = 1 and v = -e^(-x):[/tex]

[tex]∫85(-1/2)x e^(-x)dx = (-1/2)xe^(-x) + ∫85(1/2)e^(-x)dx[/tex]

[tex]= (-1/2)xe^(-x) - (1/2)e^(-x) | from x = 8 to x = 5[/tex]

[tex]= (-1/2)(8e^(-8) - 5e^(-5)) - (1/2)(e^(-8) - e^(-5))[/tex]

[tex]= -4e^(-5) + 7e^(-8)[/tex]

therefore, the value of the iterated integral is [tex]-4e^(-5) + 7e^(-8).[/tex]

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The partial sum for the power series which represents the function 1/(1-x³) consisting of the first 5 nonzero terms is: 1 + x³ + x⁶ + x⁹ + x¹² and the radius of convergence is 1.

The formula for the partial sum of a power series is given by:

Sₙ(x) = a₀ + a₁x + a₂x² + ... + aₙxⁿ

where a₀, a₁, a₂, ..., aₙ are the coefficients of the power series.

In this case, we can use the formula for the geometric series to find the coefficients:

1/(1-x³) = 1 + x³ + x⁶ + x⁹ + x¹² + ...

a₀ = 1

a₁ = 1

a₂ = 1

a₃ = 0

a₄ = 0

and so on.

Therefore, the first 5 nonzero terms of the power series are 1, x³, x⁶, x⁹, and x¹².

The radius of convergence for this power series can be found using the ratio test:

lim┬(n → ∞)⁡|aₙ₊₁/aₙ| = lim┬(n → ∞)⁡|x³/(1-x³)| = 1

Since the limit equals 1, the radius of convergence is 1.

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Using the considered ordered pairs:

The domain is {1,3,5}

The range is {2,4,5,6}

It is not a function

We have,

To determine the domain and range of a function, we need to know the set of possible input values (domain) and the set of possible output values (range).

To determine if a relation is a function, we need to check if every input has a unique output.

In other words, if there are no two distinct ordered pairs with the same first element.

This means,

A function can be one-to-one or onto.

For example,

Let's consider the relation given by the set of ordered pairs:

{(1,2), (3,4), (1,5), (5,6)}

To determine if this is a function, we first need to check if there are any two distinct ordered pairs with the same first element.

In this case, we see that both (1,2) and (1,5) have a first element of 1, so this relation is not a function.

The domain of this relation is the set of all first elements of the ordered pairs, which is {1,3,5}.

The range of this relation is the set of all second elements of the ordered pairs, which is {2,4,5,6}.

Thus,

Domain: {1,3,5}

Range: {2,4,5,6}

Not a function

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The probability that at least one WST111 student is in time for the 7h30 lecture on a Tuesday morning is 0.9961.

1. First, let's find the probability that a randomly selected student is on time for the lecture. Since the probability that a student is late is 0.25, the probability that a student is on time is 1 - 0.25 = 0.75.

2. Now, we need to calculate the probability that all five randomly selected students are late for the lecture. Since punctuality is independent, we can simply multiply each student's probability of being late: 0.25×0.25×0.25×0.25× 0.25 = 0.0009765625.

3. Finally, we want to find the probability that at least one student is on time. To do this, we'll subtract the probability that all students are late from 1:

1 - 0.0009765625 = 0.9961.

So, the probability that at least one WST111 student is in time for the 7h30 lecture on a Tuesday morning is 0.9961.

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The probability of the offspring being brown with long fur is 25%.

To determine the probability of offspring being brown with long fur from a cross between a brown, long-furred rabbit (Bbhh) and a white, short-furred rabbit (bbHh), we will use the terms dominant, recessive, and independent assortment.

Step 1: Set up the Punnett squares for each trait separately.
For fur color (B and b alleles):
Bb (brown, long-furred rabbit)×bb (white, short-furred rabbit)
Resulting in offspring genotypes:
Bb (brown fur)
Bb (brown fur)
bb (white fur)
bb (white fur)

For fur length (H and h alleles):
hh (brown, long-furred rabbit)×Hh (white, short-furred rabbit)
Resulting in offspring genotypes:
Hh (short fur)
Hh (short fur)
hh (long fur)
hh (long fur)

Step 2: Calculate the probabilities for each trait.
For brown fur: 2 out of 4 (50%)
For long fur: 2 out of 4 (50%)

Step 3: Calculate the combined probability.
Since both the B and H traits assort independently, we can multiply the probabilities of each trait occurring:
0.5 (brown fur) x 0.5 (long fur) = 0.25 (25%).

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Answer: red hot= $4

gummies=$9

Step-by-step explanation:

3r+1g=21

-(3r+3g=39)

3r+1g=21

-3r-3g=-39

-2g=-18

g=9

3r+1(9)=21

3r=12

r=4

Also, minimum observations for both data sets are same, however there is a difference in the maximum for the both data sets.

From the given boxplots, it is observed that the boxplot for the species BARN has more variation than the boxplot for the species OYST. The boxplot for the species OYST indicates that there is are some outliers present in the data, however the boxplot for the BARN species indicates that there are no any outliers present in the data. It is observed that the median for the species OYST is less than the median for the species BARN. First quartiles (Q1) for both data sets are approximately same, but medians and third quartiles are not same. Also, minimum observations for both data sets are same, however there is a difference in the maximum for the both data sets.

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