Assume that Alpha and Beta are the only sellers of a product and they do not cooperate. Each firm has to decide whether to raise the product price. The payoff matrix below gives the profits, in dollars, associated with each pair of pricing strategies. The first entry in each cell shows the profits to Alpha, and the second, the profits to Beta.Assuming both firms know the information in the matrix, which of the following correctly describes the dominant strategy of each firm? a) Alpha: Do not raise price Beta: Do not raise Price b) Alpha: Do not raise Price Beta: Raise price c) Alpha: Raise Price Beta: No dominant strategy d) Alpha: Raise price Beta: Do not raise price e) Alpha: no dominant strategy Beta: Raise Price

Answer:

Step-by-step explanation:

Key March Highlights: Travel spending totaled $93 billion in February—5% above 2019 levels and 9% above 2022 levels. Leisure travel demand does not appear to be abating with America’s excitement to travel at record highs and more than half (55%  Data Question 2 The following table shows the number of visitors to a park from January to April: Month January

1. a. H0: p(Picked Toledo) - p(Picked Nevada) = 0
  b. Ha: p(Picked Toledo) - p(Picked Nevada) > 0
  c. α= 0.05
  d. Pooled proportion = 0.203125

2. The value of the Test Statistic is 2.24.

3. We can reject the null hypothesis.

4. The proportion of people who picked Toledo is greater than those who picked Nevada.

Based on the Minitab output provided, here is the information you're looking for:

1. a. H0: p(Picked Toledo) - p(Picked Nevada) = 0
  b. Ha: p(Picked Toledo) - p(Picked Nevada) > 0
  c. α= 0.05 (typically used in hypothesis tests, not given in the output)
  d. Compute the pooled proportion:
     Pooled proportion = (X1 + X2) / (n1 + n2) = (18 + 8) / (64 + 64) = 26 / 128 = 0.203125

2. Value of the Test Statistic: z = 2.24

3. To answer "What decision can you make?"
  Since the P-value (0.013) is less than the significance level (α=0.05), you can reject the null hypothesis.

4. To answer "What conclusion can you make?"
  Based on the test results, there is significant evidence to conclude that the proportion of people who picked Toledo is greater than the proportion who picked Nevada.

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The radius of convergence R is 1/7 and the interval of convergence I is: I = (-1/7, 5/7)

To find the radius of convergence R, we can apply the ratio test:

[tex]lim_n→∞ |(7x-4)(n+1)/7(n+1)| = lim_n→∞ |7x-4|/7 = |7x-4|[/tex]

The series converges when the limit is less than 1, so we have: |7x - 4| < 1

Solving for x,

we get: -1/7 < x < 5/7

This means that the series converges for all values of x within the interval (-1/7, 5/7) and diverges for values of x outside that interval. The interval is open on the left endpoint and closed on the right endpoint because the limit at x=-1/7 and x=5/7 needs to be tested separately.

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The probability that the randomly selected points is in the bullseye is 1/4

Concentric circles are circles with the same or common center.

To calculate the probability that the randomly selected points is in the bullseye, we use the formula below

Formula:

Where:

From the question,

Given:

Substitute these values into equation 1

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Answer: 26

Step-by-step explanation:

So what its basically asking is for you to find the hypotenuse because you can see that the rectangle splits in half with the green line.

So to find the hypotenuse you would use these steps:

1. formula for hypotenuse  

[tex]\sqrt{a^2+b^2}[/tex]

2. plug in numbers

[tex]\sqrt{10^2+24^2}=26[/tex]

In this scenario, the appropriate inference procedure would be the two-sample t-test for the difference between means.

Based on the given information, you would use a "two-sample t-test for the difference between two means" to estimate the difference in the average amount of TV watched by high school and college students. This procedure is suitable because you have separate random samples from two distinct groups and you're comparing their means.

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The first positive root of the function f(x) = x² - 3 is located between x = 1 and x = 2.

The Intermediate Value Theorem states that if a function is continuous on a closed interval [a, b] and takes on values f(a) and f(b) with opposite signs, then there exists at least one root (zero) of the function between a and b.

In this case, we have f(x) = x² - 3. To find the first positive root of the function, we need to look for a positive value of x where f(x) = 0.

We can start by evaluating f(0) and f(2), which are the values of the function at the endpoints of the interval [0, 2]:

f(0) = 0² - 3 = -3

f(2) = 2² - 3 = 1

Since f(0) is negative and f(2) is positive, by the Intermediate Value Theorem, there must be at least one root of the function between x = 0 and x = 2.

To further narrow down the location of the root, we can evaluate f(1), which is the midpoint of the interval [0, 2]:

f(1) = 1² - 3 = -2

Since f(1) is negative, we know that the root is between x = 1 and x = 2.

To summarize, the first positive root of the function f(x) = x² - 3 is located between x = 1 and x = 2.

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Finally, we can use the fact that 3 is a zero of multiplicity 1 to determine: f(0) = 0 = -81ac.

A polynomial function of degree 7 with -3 as a zero of multiplicity 3, 0 as a zero of multiplicity 3, and 3 as a zero of multiplicity 1 can be written as:

f(x) = [tex]a(x + 3)^3 * b(x)^3 * c(x - 3)[/tex]

where a, b, and c are constants to be determined.

Since -3 is a zero of multiplicity 3, we know that (x + 3) appears in the function three times as a factor, so we can write:

f(x) =[tex]a(x + 3)^3 * g(x)[/tex]

Here g(x) is some function of degree 4 (since we have accounted for 3 of the 7 total factors). Similarly, since 0 is a zero of multiplicity 3, we know that [tex]x^3[/tex] appears in the function three times as a factor, so we can write:

g(x) = [tex]b(x)^3 * h(x)[/tex]

Here h(x) is some function of degree 1 (since we have accounted for 3 of the remaining 4 factors). Finally, we know that 3 is a zero of multiplicity 1, so we can write:

h(x) = c(x - 3)

Putting it all together, we have:

[tex]f(x) = a(x + 3)^3 * g(x)\\= a(x + 3)^3 * b(x)^3 * h(x)\\= a(x + 3)^3 * b(x)^3 * c(x - 3)[/tex]

Substituting h(x) into g(x), we get:

[tex]g(x) = b(x)^3 * h(x)\\= b(x)^3 * c(x - 3)[/tex]

Substituting g(x) into f(x), we get:

[tex]f(x) = a(x + 3)^3 * g(x)\\= a(x + 3)^3 * b(x)^3 * h(x)\\= a(x + 3)^3 * b(x)^3 * c(x - 3)\\= a(x + 3)^3 * b(x)^3 * c(x - 3)\\[/tex]

Expanding the terms, we get:

[tex]f(x) = a(x^3 + 9x^2 + 27x + 27) * b(x^3)^3 * c(x - 3)\\= a(x^3 + 9x^2 + 27x + 27) * b(x^6) * c(x - 3)\\\\= a(x^3 + 9x^2 + 27x + 27) * b(x^6) * c(x) - 3c(x^5)[/tex]

Now, we can use the fact that -3 is a zero of multiplicity 3 to determine the value of a:

[tex]f(-3) = a(-3 + 3)^3 * b(0)^3 * c(-3) = 0[/tex]

= 0

Since [tex](-3 + 3)^3 = 0,[/tex] we can simplify this equation to:

f(-3) = 0 = [tex]b(0)^3 * c(-3)[/tex]

Since 0 is a zero of multiplicity 3, we can also determine the value of b:

f(0) = [tex]a(0 + 3)^3 * b(0)^3 * c(0 - 3) = 0[/tex]

= 27a * 0 * (-3c)

Simplifying, we get:

f(0) = 0 = -81ac

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Based on the given information, it seems that Hector made error A. He placed Puppy 3 at -3.4 instead of at -0.75.

To determine which error Hector made, we need to compare his placements with the correct placements of the puppies on the number line based on the recorded weight changes.

According to the number line-

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If on addition of two numbers we get 16 as the sum and their difference comes out to be 9 thus the numbers are 12.5 and 3.5

Let one of the numbers be x

the second number be y

According to the question,

Sum = 16

x + y = 16 ----- (i)

Difference = 9

x - y = 9 ------ (ii)

Add the equations (i) and (ii)

x + y + x - y = 16 + 9

2x = 25

x = 25/2 = 12.5

Put the calculated value of x in equation (i)

12.5 + y = 16

y = 16 - 12.5

y = 3.5

Thus, the numbers in the question are 12.5 and 3.5

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Answer:

Based on the histogram displaying the ages of 50 randomly selected users of an online music service, it is more likely that advertising on the service will reach people who are younger than 30, as the frequency (or height) of the bars appears to be higher in the younger age group compared to the 30 and older age group.

Step-by-step explanation:

The sum of the m integers between ai and aj is si - s(i-1) + s(i-1) - s(j-1) = si - sj, which is divisible by m since si, sj have same remainder. So, there exists a consecutive subsequence of the original sequence with a sum divisible by m, namely the integers between ai and aj.

We can prove this using the Pigeonhole Principle.

Consider the sequence of m integers a1, a2, ..., am. Let's compute the prefix sums of this sequence, which we'll denote by s0, s1, s2, ..., sm. That is, we define si = a1 + a2 + ... + ai-1 for i = 1, 2, ..., m, and s0 = 0.

Note that there are m + 1 prefix sums, but only m possible remainders when we divide a sum by m (namely, 0, 1, 2, ..., m-1).

Therefore, by the Pigeonhole Principle, at least two of the prefix sums must have the same remainder when divided by m. Let's say these are si and sj, where i < j.

Then, the sum of the m integers between ai and aj (inclusive) is si - s(i-1) + s(i-1) - s(j-1) = si - sj, which is divisible by m since si and sj have the same remainder when divided by m.

Therefore, there exists a consecutive subsequence of the original sequence with a sum divisible by m, namely the integers between ai and aj.

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Answer:

Step-by-step explanation:

Answer:

To complete the construction described:

Place the midpoint I of segment [AB]. Draw the circle C of diameter [AB]. Draw the perpendicular bisector of segment [AB]. Label the point where it intersects circle C as E and F. Draw half-lines [AE) and [BE). Draw an arc with center A and radius [AB] that passes through point B. Label the points where the arc intersects half-line [AE) as H and J. Draw an arc with center B and radius [BA] that passes through point A. Label the points where the arc intersects half-line [BE) as G and K. Draw the quarter circle with center E and radius [EG] that is bounded by points G and H. This completes the construction.

The final figure should consist of circle C, perpendicular bisector EF, half-lines [AE) and [BE), arcs passing through points B and A, and the quarter circle with center E, radius [EG], and bounded by points G and H.

Step-by-step explanation:

The height of a binary tree depends on the number of nodes and the distribution of those nodes throughout the tree. However, knowing the number of leaf nodes in a binary tree can provide a lower bound on its height.

For a binary tree with 26 leaf nodes, the minimum height is 5, meaning the tree has at least 5 levels. For a binary tree with 44 leaf nodes, the minimum height is 6, and for a binary tree with 64 leaf nodes, the minimum height is 7.

This lower bound on height can be determined by recognizing that each level of a binary tree can contain at most twice as many nodes as the previous level. If a binary tree has L levels and K leaf nodes, then the number of nodes in the last level is at least K, and the number of nodes in the previous level is at least K/2. By repeating this reasoning, we can derive the minimum number of levels needed to accommodate a given number of leaf nodes.

Therefore, if a binary tree has a fixed number of leaf nodes, the minimum height is determined by the number of leaf nodes and the shape of the tree. However, it's important to note that this lower bound is not necessarily tight, as a binary tree with the same number of leaf nodes can have different heights depending on its structure.

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The KKT pair is given by:

λ = 0, y = x (when x is inside the ball)

λ = 1/2, y = m + (x – m)/2 (when x is outside the ball)

a) The Lagrangian function for the optimization problem is given by:

L(y, λ) = 1/2 ||y – x||² + λ (r² – ||y – m||²)

where λ is the Lagrange multiplier.

The KKT conditions for the problem are:

Stationarity condition: ∇y L(y, λ) = 0

∇y L(y, λ) = y – x – 2λ (y – m) = 0

Primal feasibility condition: ||y – m||² ≤ r²

Dual feasibility condition: λ ≥ 0

Complementary slackness condition: λ (r² – ||y – m||²) = 0

b) To show that the KKT conditions have a unique solution, we can use the second-order sufficiency conditions. The Hessian matrix of the Lagrangian function is given by:

∇²L(y, λ) = I – 2λ I = (1 – 2λ)I

where I is the identity matrix. Since λ ≥ 0, we have 1 – 2λ ≤ 1, which means that the Hessian matrix is positive definite. Therefore, the KKT conditions have a unique solution.

To calculate the KKT pair, we need to solve the stationarity and primal feasibility conditions. From the stationarity condition, we have:

y – x – 2λ (y – m) = 0

y – 2λy = x – 2λm

y = (I – 2λ)⁻¹(x – 2λm)

Substituting this into the primal feasibility condition, we have:

||(I – 2λ)⁻¹(x – 2λm) – m||² ≤ r²

Expanding this expression, we get:

||x – m||² – 4λ (x – m)ᵀ(I – λ(I – 2λ)⁻¹)(x – m) + 4λ² ||(I – 2λ)⁻¹(m – x)||² ≤ r²

Let A = (I – λ(I – 2λ)⁻¹). Then, the above expression can be written as:

||x – m||² – 4λ (x – m)ᵀA(x – m) + 4λ² ||A(m – x)||² ≤ r²

Since λ ≥ 0, we have A = (I – λ(I – 2λ)⁻¹) ≥ 0, which means that A is positive semidefinite. Therefore, the minimum value of the expression on the left-hand side is achieved when λ = 0 or λ = 1/2.

If λ = 0, then we get:

y = x

If λ = 1/2, then we get:

y = m + (x – m)/2

Therefore, the KKT pair is given by:

λ = 0, y = x (when x is inside the ball)

λ = 1/2, y = m + (x – m)/2 (when x is outside the ball)

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The equation stating requirement for goal is 250 = 25t and value of variable or shirts is 10.

The amount remaining to be raised = 370 - 120

Remaining amount = $250

The number of t-shirts need to be sold to meet the goal will be given by the formula -

Amount required = number of shirts × cost of each shirt

Keep the values in formula to find the expression and value of variable

250 = 25t

Solving the equation for the value of t

t = 250/25

Divide the values

t = 10

Hence, the expression is 250 = 25t and value of variable is 10.

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Pierre's question is a common philosophical and scientific question about the nature of prediction and probability.

In the 18th century, there was not a comprehensive understanding of the scientific laws that govern the natural world as we have today. Therefore, the most reasonable response to Pierre's question would be that it depends on the probability model used. The probability of the sun rising tomorrow would be based on various factors such as astronomical observations, scientific knowledge of celestial mechanics, and weather patterns.

While we cannot predict the future with absolute certainty, we can use available data and knowledge to make informed predictions about the likelihood of the sun rising tomorrow.

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The sample space refers to option (c) the set of all possible experimental outcomes. In probability theory and statistics, a sample space represents all possible outcomes of an experiment or a random event.

The correct answer is c. The sample space refers to the set of all possible experimental outcomes. This includes every possible outcome that could occur in an experiment, whether or not it actually occurs. For example, if you flip a coin, the sample space would be {heads, tails}. This encompasses every possible outcome of the experiment. It provides a foundation for calculating probabilities and understanding the range of results that may occur in a given situation. Sample spaces can vary in size and complexity, depending on the nature of the experiment or event being studied. Understanding the sample space is crucial for making accurate predictions and informed decisions based on data.

Option a is also correct to some extent, as any particular experimental outcome can be considered a part of the sample space. However, it is not a complete definition of the sample space as it only focuses on one outcome and not all possible outcomes.

Option b is incorrect, as the sample space is not limited to just one particular experimental outcome. It is the set of all possible outcomes.

Option d is also incorrect as the sample space has nothing to do with the sample size or the number of participants in the experiment. It is solely based on the set of all possible outcomes of the experiment.

In conclusion, the sample space is the set of all possible experimental outcomes, including both successful and unsuccessful outcomes. It is an important concept in probability theory and is used to calculate the probability of specific events occurring in an experiment.

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Part A: A line graph is the leading graphical representation to show the given information. The line chart is an fitting show since it makes a difference in visualizing the drift of the team's execution over time. It too highlights any outliers and makes a difference in recognizing designs within the information.

Part B: To make a line graph for the given information, take after the steps underneath:

The coming about line chart would appear the team's execution over the course of the primary 13 recreations, highlighting any patterns, crests, or plunges in their execution.

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[tex]\textit{circumference of a circle}\\\\ C=2\pi r ~~ \begin{cases} r=radius\\[-0.5em] \hrulefill\\ C=4\pi \sqrt{3} \end{cases}\implies 4\pi \sqrt{3}=2\pi r\implies \cfrac{4\pi \sqrt{3}}{2\pi }=r\implies 2\sqrt{3}=r \\\\[-0.35em] ~\dotfill\\\\ \textit{area of a circle}\\\\ A=\pi r^2 ~~ \begin{cases} r=radius\\[-0.5em] \hrulefill\\ r=2\sqrt{3} \end{cases}\implies A=\pi (2\sqrt{3})^2 \\\\\\ A=\pi ( ~~ 2^2\sqrt{3^2} ~~ )\implies A=\pi ( ~~ 2^2(3) ~~ )\implies A=\implies A=12\pi[/tex]

The format of £ + E.E___+S___. Therefore, the answer is £36.6 + E. E14.284 + S0.

To lea

To estimate the mean amount a typical parent would spend on their child's birthday gift, we can use a confidence interval with the given information. Since the sample size is relatively small (n=13) and the population standard deviation is unknown, we can use a t-distribution with n-1 degrees of freedom.

The formula for a confidence interval for the population mean is:

x ± t*(s/√n)*

where x is the sample mean, s is the sample standard deviation, n is the sample size, and t* is the critical t-value from the t-distribution for a given level of confidence and degrees of freedom.

For a 98% confidence level and 12 degrees of freedom (n-1), the critical t-value is 2.681.

Plugging in the given values, we get:

36.6 ± 2.681*(14.7/√13) ≈ 36.6 ± 14.284

So the 98% confidence interval for the mean amount a typical parent would spend on their child's birthday gift is £22.316 to £50.884, or in the format of £ + E.E___+S___. Therefore, the answer is £36.6 + E. E14.284 + S0.

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The value of k, for k > 0, such that the slope of the line tangent to the graph off at x = 0 is -2.

We are given a family of functions f(x) = x² - 2x + k, where k is a constant. This family of functions includes all the possible quadratic functions of the form x² - 2x + k. To find the value of k, we need to use the given condition that the slope of the tangent line to the graph of the function at x = 0 equals 6.

To find the slope of the tangent line at x = 0, we need to take the derivative of the function f(x) and evaluate it at x = 0. Taking the derivative of f(x), we get:

f'(x) = 2x - 2

Evaluating f'(x) at x = 0, we get:

f'(0) = 2(0) - 2 = -2

This gives us the slope of the tangent line to the graph of the function at x = 0, which is -2.

Therefore, the answer to the problem is that there is -2 of k, for k > 0, such that the slope of the line tangent to the graph of the function at x = 0 equals 6.

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Complete Question;

Consider the family of functions f(x) = where k is a constant. x^2 - 2x +k

Find the value of k, for k > 0, such that the slope of the line tangent to the graph off at x = 0

The probability that 49% or less of these companies outsourced some part of their manufacturing process in the past two to three years is approximately 0.0094.

a) To solve this problem, we need to use the binomial distribution formula:

P(X ≥ 336) = 1 - P(X < 336)

where X is the number of companies that outsourced some part of their manufacturing process.

We know that n = 555, p = 0.54, and q = 1 - p = 0.46.

Using the binomial distribution formula, we get:

P(X < 336) = Σ (nCx) * p^x * q^(n-x) from x = 0 to 335

However, computing this sum directly can be very time-consuming. Instead, we can use the normal approximation to the binomial distribution since n is large and p is not too close to 0 or 1.

Using the normal approximation, we can calculate the mean and standard deviation of the binomial distribution:

μ = np = 555 * 0.54 = 299.7

σ = sqrt(npq) = sqrt(555 * 0.54 * 0.46) ≈ 11.85

Then, we can transform the binomial distribution to a standard normal distribution:

Z = (X - μ) / σ

P(X < 336) ≈ P(Z < (336 - μ) / σ) = P(Z < (336 - 299.7) / 11.85) ≈ P(Z < 3.05)

Using a standard normal distribution table or a calculator, we find that P(Z < 3.05) ≈ 0.9983.

Therefore, P(X ≥ 336) = 1 - P(X < 336) ≈ 1 - 0.9983 = 0.0017.

b) We can use the same approach as in part (a):

P(X ≥ 286) = 1 - P(X < 286)

μ = np = 555 * 0.54 = 299.7

σ = sqrt(npq) = sqrt(555 * 0.54 * 0.46) ≈ 11.85

Z = (X - μ) / σ

P(X < 286) ≈ P(Z < (286 - μ) / σ) = P(Z < (286 - 299.7) / 11.85) ≈ P(Z < -1.15)

Using a standard normal distribution table or a calculator, we find that P(Z < -1.15) ≈ 0.1251.

Therefore, P(X ≥ 286) = 1 - P(X < 286) ≈ 1 - 0.1251 = 0.8749.

c) We want to find P(X ≤ 0.49n) = P(X ≤ 0.49 * 555) = P(X ≤ 271.95).

We can again use the normal approximation to the binomial distribution:

μ = np = 299.7

σ = sqrt(npq) ≈ 11.85

Z = (X - μ) / σ

P(X ≤ 271.95) ≈ P(Z < (271.95 - 299.7) / 11.85) ≈ P(Z < -2.34)

Using a standard normal distribution table or a calculator, we find that P(Z < -2.34) ≈ 0.0094.

Therefore, the probability that 49% or less of these companies outsourced some part of their manufacturing process in the past two to three years is approximately 0.0094.

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Answer:

  see attached

Step-by-step explanation:

You want a graph of the line y = -3x +2.

The infinite number of points that satisfy the equation y = -3x +2 will form a line on the coordinate plane. It will cross the y-axis at y = 2, and will have a slope (rise/run) of -3 units for each unit to the right. The attachment shows the graph.

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Answer:

is the answer C is correct bro

Answer:  B

Step-by-step explanation:

B.   The negative in front indicates direction.  It's a quadratic opening down.  and the 6 is the stretch

Instead of over 1 down 1 it goes over 1 down 6 from the vertex. so it's skinnier

a. The first step we take to solve the radical equation is adding x to both sides.

b. The next step is to square both sides.

c. Solving the equation for x yields x = 0 or x = 16

d. Checking the solution, shows that it is correct.

A radical equation is an equation that contains a root.

Given the radical equation [tex]4x^{\frac{1}{2} } - x = 0[/tex]. To sove this, we proceed as follows.

a. The first step we take to solve the equation is adding x to both sides.

So, we have that

[tex]4x^{\frac{1}{2} } - x = 0[/tex]

[tex]4x^{\frac{1}{2} } - x + x= 0 + x\\4x^{\frac{1}{2} } - 0= x\\4x^{\frac{1}{2} } = x[/tex]

b. The next step is to square both sides. So, we have that

[tex]4x^{\frac{1}{2} } = x\\(4x^{\frac{1}{2} } )^{2} = x^{2} \\16x = x^{2}[/tex]

c. The next step is to subtract 16x from both sides. So, we have that

16x = x²

16x - 16x = x² - 16x

0 = x² - 16x

x² - 16x = 0

Factorizing to solve for x, we have that

x² - 16x = 0

x(x - 16) = 0

x =0 or x - 16 = 0

x = 0 or x = 16

Solving the equation for x yields x = 0 or x = 16

d. Next, we check the solution.

So, when x = 0

[tex]4x^{\frac{1}{2} } - x = 0\\4(0)^{\frac{1}{2} } - 0 = 0\\4(0) - 0 = 0\\0 - 0 = 0\\0 = 0[/tex]

When x = 16

[tex]4x^{\frac{1}{2} } - x = 0\\4(16)^{\frac{1}{2} } - 16 = 0\\4(4) - 16 = 0\\16 - 16 = 0\\0 = 0[/tex]

Checking the solution, we see that it is correct.

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a. Correlation: This method measures the strength and direction of the relationship between two continuous variables.
b. Linear Regression: This method predicts the value of one continuous variable based on the value of another continuous variable.
c. Independent t-test: This method compares the means of two independent groups to determine if there is a significant difference between them.
d. Dependent t-test: This method compares the means of two related groups (e.g., pre-test and post-test) to determine if there is a significant difference between them.

a. Correlation - This statistical method is used when the research question involves examining the relationship between two continuous variables. For example, "Is there a correlation between hours spent studying and GPA?"

Research question type: "Is there a relationship between variable A and variable B?"
b. Linear Regression - This statistical method is used when the research question involves predicting a continuous dependent variable based on one or more continuous independent variables. For example, "Can we predict income based on years of education and work experience?"

Research question type: "Can we predict variable A based on variable B?"
c. Independent t-test - This statistical method is used when the research question involves comparing the means of two independent groups on a continuous variable. For example, "Is there a difference in salaries between male and female employees?"

Research question type: "Is there a significant difference in variable A between Group 1 and Group 2?"
d. Dependent t-test - This statistical method is used when the research question involves comparing the means of two related groups on a continuous variable. For example, "Is there a significant difference in test scores before and after a study intervention?"

Research question type: "Is there a significant difference in variable A between the pre-test and post-test results?"

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