how much would $140 invested at 6% interest compounded monthly be worth after 15 years? Round your answer to the nearest cent. A(t)= P(1+r/n)^nt

In hypothesis testing, the tentative assumption about the population parameter is either the null hypothesis or the alternative hypothesis. The null hypothesis (denoted as H₀) represents the statement that there is no significant difference or effect between the variables being studied, while the alternative hypothesis (denoted as H₁) asserts that there is a significant difference or effect.

Hypothesis testing involves comparing observed data against these hypotheses to determine which one is more likely to be true. Researchers aim to either reject or fail to reject the null hypothesis, based on the evidence provided by the data. If the null hypothesis is rejected, it suggests that the alternative hypothesis is more likely to be true.

To make this decision, a significance level (usually denoted as α) is chosen to quantify the risk of making a Type I error, which is rejecting the null hypothesis when it is actually true. Common significance levels are 0.05 or 0.01. If the probability of observing the data (or more extreme) under the null hypothesis, called the p-value, is less than the chosen significance level, the null hypothesis is rejected in favor of the alternative hypothesis.

In summary, hypothesis testing involves evaluating the tentative assumptions about the population parameter using the null and alternative hypotheses to draw conclusions based on the observed data.

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The receiver should be placed 3/4 feet away from the vertex of the dish.

Assuming that the satellite dish antenna is a perfect paraboloid, the receiver should be placed at the focal point of the paraboloid, which is located at a distance of one-fourth of the diameter from the vertex of the dish.

The diameter of the dish is given as 6 feet, so the radius (half of the diameter) is 3 feet. The depth of the dish is given as 2 feet.

The equation of the paraboloid in standard form is:

[tex]z = (x^2 + y^2) / (4f)[/tex]

where z is the depth of the dish (2 feet), x and y are the coordinates of any point on the paraboloid, and f is the focal length.

At the vertex of the paraboloid (where x = y = 0), the depth of the dish is 0. So, we can use this information to find the focal length f:

[tex]2 = (0^2 + 0^2) / (4f)[/tex]

f = 1/4

The focal length is 1/4 feet, or 3 inches.

The distance from the vertex of the dish to the receiver is equal to the distance from the focal point to the vertex, which is:

d = 1/4 × 3 = 3/4 feet

So the receiver should be placed 3/4 feet away from the vertex of the dish.

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The height of the skyscraper is 853.03 feet.

We can use proportions to solve the problem. Let x be the height of the skyscraper in feet. Then we can set up the proportion:

height of Mrs. Nogaki / length of her shadow = height of skyscraper / length of its shadow

or

5.75 / 8 = x / 1183

To solve for x, we can cross-multiply:

5.75 × 1183 = 8 × x

6824.25 = 8x

Dividing both sides by 8, we get:

x = 853.03125

Therefore, the height of the skyscraper is approximately 853.03 feet after rounding it to nearest hundredth.

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The  NPV of the project is $331,085.70. Since the NPV is positive, the project should be undertaken as it creates value for the company.

To calculate the NPV of the project, we need to estimate the cash flows generated by the project and discount them back to their present value using the required return of 11 percent.

The annual cash inflows generated by the project are the annual sales of $2,590,000 minus the annual costs of $1,610,000, which equals $980,000. We can calculate the annual depreciation expense as the initial fixed asset investment of $2,350,000 divided by the three-year tax life, which equals $783,333 per year.

Using the straight-line depreciation method, the fixed asset will have a book value of $1,566,667 (i.e., $2,350,000 - $783,333) at the end of year 3, which is equal to its estimated salvage value. Therefore, the after-tax salvage value is:

($1,566,667 - $0) x (1 - 0.21) = $1,235,000

Now we can calculate the annual after-tax cash flows:

Year 1: $980,000 - $301,667 = $678,333
Year 2: $980,000 - $301,667 = $678,333
Year 3: $980,000 - $301,667 + $1,235,000 = $1,913,333

where $301,667 is the annual depreciation expense.

To calculate the NPV, we need to discount these cash flows back to their present value at the required return of 11 percent. Using a financial calculator or spreadsheet software, we find that the NPV of the project is:

NPV = -$2,350,000 + $678,333/(1+0.11)^1 + $678,333/(1+0.11)^2 + $1,913,333/(1+0.11)^3 = $331,085.70

Therefore, the NPV of the project is $331,085.70. Since the NPV is positive, the project should be undertaken as it creates value for the company.

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The conversion result of decimal numbers to hexadecimal representations of 2's complement numbers are the following

a) 100

b) 6F

c)75BCD15

d)FFFFFF04

A decimal number can be represent the two parts one is whole and a fractional part separated by a decimal point. The decimal point is represented by dot inbetween the whole and fractional part. Hexadecimal is one of number system with base 16. That means 16 possible digits used to represent numbers. Steps to convert a decimal number to hexadecimal number :

Representations of 2's complement numbers :

a) decimal number = 256

using above rules, it's hexadecimal representations of 2's complement numbers is 100.

b) decimal number = 111

it's hexadecimal representations of 2's complement numbers is 6F.

c) decimal number = 123,456,789

it's hexadecimal representations of 2's complement numbers is 75BCD15.

d) decimal number = -44

it's hexadecimal representations of 2's complement numbers is FFFFFF04.

Hence, required values are obtained.

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The volume of the solid generated is [tex]\frac{117}{3} π[/tex]

To find the volume of the solid generated by rotating the region in the first quadrant enclosed by the curves y = 0, x = 2, x = 5 about the x-axis, we need to use the disk method.

The radius of each disk is given by the distance from the x-axis to the curve y = f(x), which in this case is just the value of x itself since the curves y = 0 and x = 2 bound the region.

So, we can set up the integral as follows:

[tex]V = \int\limits {x} \,  [a,b] πr^2 dx[/tex]
V = ∫[2,5] πx^2 dx
[tex]V = \int\limits {x} \,  [2,4] πx^2 dx[/tex]
[tex]V= π(\frac{125}{3} ) - π (\frac{8}{3} )[/tex]
[tex]V=\frac{117}{3} π[/tex]

Therefore, the volume of the solid generated is [tex]\frac{117}{3} π[/tex] cubic units.

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Thus, the probability that it will rain on exactly one of the five days during the Hiking Club's camping trip in the State park is approximately 4.38%.

We can use the binomial probability formula to calculate the probability of rain on exactly one of the five days during the Hiking Club's camping trip in the State park. The formula is:

P(X = k) = C(n, k) * p^k * (1 - p)^(n - k)

where:
- P(X = k) is the probability of k successes (rain) in n trials (days)
- C(n, k) is the number of combinations of n items taken k at a time
- p is the probability of success (rain) on any given day (66% or 0.66)
- n is the number of trials (5 days)
- k is the number of successes (1 day with rain)

Plugging the values into the formula, we get:

P(X = 1) = C(5, 1) * 0.66^1 * (1 - 0.66)^(5 - 1)

First, we find the number of combinations C(5, 1) which is 5.

Next, we calculate the probabilities:
0.66^1 = 0.66
(1 - 0.66)^4 = 0.34^4 = 0.0133

Now, we multiply everything together:

P(X = 1) = 5 * 0.66 * 0.0133 ≈ 0.0438

So, the probability that it will rain on exactly one of the five days during the Hiking Club's camping trip in the State park is approximately 4.38%.

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Given a sample mean is 82, the sample size is 100, 90% confidence level and the population standard deviation is 20, the margin of error is 3.29.

To calculate the margin of error, we need to use the formula:

Margin of error = Z-score * (population standard deviation / square root of sample size)

Where the Z-score corresponds to the confidence level. Since we have a 90% confidence level, the Z-score is 1.645.

Plugging in the given values, we get:

Margin of error = 1.645 * (20 / sqrt(100))
Margin of error = 1.645 * 2
Margin of error = 3.29 (rounded to 2 decimals)

Therefore, the margin of error is 3.29.

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Using the given information, the circumference of the right cone is 16π units

From the question, we are to determine the circumference of the cone in terms of π

To determine the circumference, we will determine the radius of the cone

From the given information,

The volume of the cone is 512π units³

The height is 24 units

From the formula for calculating the volume of a cone

V = 1/3 πr²h

Where V is the volume

r is the radius

and h is the height

Thus,

We can write that

512π  = 1/3πr² × 24

512π  = πr² × 8

512  = r² × 8

r² = 512/8

r² = 64

r = √64

r = 8 units

Now, we can calculate the circumference by using the formula

C = 2πr

Where C is the circumference

C = 2 × π × 8

C = 16π units

Hence, the circumference is 16π units

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The probability that a randomly selected LA worker has a commute that is longer than 29 minutes is 0.1736.

The probability that a randomly selected LA worker has a commute that is longer than 29 minutes depends on the distribution of the commute times. Without information on this distribution, we cannot give a specific answer.

However, if we assume that the commute times are normally distributed with a mean of 26.2 minutes and a standard deviation of 6.1 minutes (as given in a previous question), we can use the normal distribution to estimate the probability.

Using a calculator, we can calculate the z-score for a commute time of 29 minutes:

z = (29 - 26.2) / 6.1 = 0.459

Then, we can find the probability of a z-score greater than 0.459, which represents the probability of a longer commute time than 29 minutes:

P(Z > 0.459) = 0.1736

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In interval estimation, the t distribution is applicable when the sample size is small and the population variance is unknown. Therefore, options a, c, and d can be eliminated.

The t distribution is used when the sample standard deviation is used to estimate the population standard deviation, which is usually the case in practice. When the sample size is small, using the t distribution instead of the standard normal distribution results in wider confidence intervals, which takes into account the uncertainty associated with estimating the population standard deviation from the sample.

The t distribution also approaches the standard normal distribution as the sample size increases. Therefore, the correct answer is b.

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The legal description of a parcel in a subdivision that has been recorded with lot and block numbers on a plat of survey is the written description of the boundaries and location of the property, including the lot and block numbers as identified on the plat of survey. This legal description is used to define and identify the property for legal purposes such as real estate transactions, property taxes, and land use regulations.

The legal description of a parcel in a subdivision that has been recorded with lot and block numbers on a plat of survey is known as a "Lot and Block" description. This description typically includes the subdivision name, the specific lot number, and the block number within that subdivision. This information is used to accurately identify and locate the property within the larger plat of survey, ensuring proper documentation and reference for legal and real estate purposes.

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Answer:

Chris = $25

Maria = $35

Justin = $75

Step-by-step explanation:

Chris's amount is x.

x + 3x + (x + 10) = 135

x = 25

Substitute 25 for x.

25 + 3(25) + (25 + 10) = 135

135 = 135

True

When investigating the effect of exercise on myocardial infarction, it is important to consider the influence of potential confounding variables, such as gender. Confounding occurs when a third variable influences both the independent and dependent variables, leading to spurious relationships between them.

In this case, gender may influence the risk of myocardial infarction and also the likelihood of exercising regularly, creating a potential confounding effect.

To control for this confounding effect, multiple regression analysis can be used. This statistical technique allows for the simultaneous analysis of multiple predictor variables and their relationship to the outcome variable. By including gender as a predictor variable in the analysis, the effect of exercise on myocardial infarction can be assessed while controlling for the potential confounding effect of gender.

This method of control for confounding is known as statistical adjustment, and it is commonly used in observational studies where randomized controlled trials are not feasible or ethical. It is important to note that while statistical adjustment can help to minimize the influence of confounding variables, it cannot completely eliminate the possibility of residual confounding. Therefore, it is essential to carefully consider potential confounding factors when designing and analyzing studies on the effects of exercise on myocardial infarction or any other health outcome.

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We know that the total number of people in the room is a whole number, so we can round up to 33 people.

Let's start by using variables to represent the unknowns in the problem.

Let's say the total number of people in the room is "x" and the total number of chairs in the room is "y".

According to the problem, 4/7 of the people in the room are seated, which means that 3/7 of the people are standing. We also know that 7/10 of the chairs are occupied, which means that 3/10 of the chairs are empty.

We can set up two equations based on the information given:

(4/7)x = 7/10y (equation 1)

3/10y = 8 (equation 2)

We can solve for "y" in equation 2:

3/10y = 8

y = (8 x 10) / 3

y = 26.67

We know that the total number of chairs in the room is a whole number, so we can round up to 27 chairs.

Now we can use equation 1 to solve for "x":

(4/7)x = 7/10(27)

(4/7)x = 18.9

x = (18.9 x 7) / 4

x = 32.925

We know that the total number of people in the room is a whole number, so we can round up to 33 people.

Therefore, there are 33 people in the room.

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Answer:

147.2

Step-by-step explanation:

square area = 6*7=42

2 triangles w height of 8 = 2* 1/2 *8*7 =56

2 triangles w height of 8.2 = 2* 1/2 *8.2*6 =49.2

sum of all 3 = 147.2

The expected payoff of this game is $1.97

To find the expected payoff of this game, we need to calculate the probability of each outcome and multiply it by the corresponding payoff.

There are six possible outcomes for the first roll, each with a probability of 1/6. If we roll a 1, 2 or 3 on the first roll, the game stops and the payoff is the face value of the roll. So the expected payoff for these outcomes is:

(1/6) x 1 + (1/6) x 2 + (1/6) x 3 = 1

If we roll a 4, 5 or 6 on the first roll, we get to roll again. There are also six possible outcomes for the second roll, each with a probability of 1/6. If we roll a 1, 2 or 3 on the second roll, the game stops and the payoff is the sum of the face values of both rolls. So the expected payoff for these outcomes is:

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

If we roll another 4, 5 or 6 on the second roll, we get to roll again. But the probability of this happening is (3/6) x (1/6) = 1/12. So we can ignore this possibility for now.

Now we can calculate the overall expected payoff by multiplying the probability of each outcome by the corresponding payoff and adding them up:

(1/6) x 1 + (1/6) x 2 + (1/6) x 3 + (1/6) x 5 + (1/12) x (5+1+4) = 1.97

So the expected payoff of this game is $1.97. However, it's important to note that this is just an average value and doesn't guarantee that you will actually win this amount in any given game. It's also important to consider the risk involved in playing this game, as the possibility of rolling multiple times and losing could result in a significant loss.

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It is false that when using a least squares regression line, we should not predict a value of y unless the given value of x is in the experimental region

A least square regression line equation is represented as

y = mx + c

From the question, we have the statement:

When using a least squares regression line, we should not predict a value of y unless the given value of x is in the experimental region

The above statement is false

This is because whether the x values is in the experimental region or not, the y value can be predicted

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The value of the sides are;

FG = 4. 06

EF = 6. 59

<E = 38 degrees

From the information given, we have;

Using the tangent identity;

tan 52 = 5.2/FG

cross multiply the values, we have;

FG = 4. 06

Then,

using the sine identity, we have;

sin 52 = 5.2/EF

cross multiply the values, we get;

EF = 6. 59

To determine the angle E, we have;

sin E = 4.06/6. 59

Divide the values

sin E = 0. 6160

E = 38 degrees

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Based on the call number GT2853 A515 A48 2012, your book would be located on the shelf that is labeled with the letters "GT" which typically corresponds to the subject area of anthropology.

Within the GT section, you would then look for the number range of 2853, followed by the letters A515, which further narrow down the subject matter of your book. Finally, the letters A48 indicate the author's last name, and the publication year of 2012 helps to differentiate any other books with similar call numbers. So, the specific shelf that would contain your book would be the one labeled with "GT 2853 A515."

To locate the book with the call number GT2853 A515 A48 2012, follow these steps:

1. Look for the shelves labeled with "GT" (the alphabetical portion of the call number).
2. Within the "GT" section, search for the numeric range that includes "2853" (the first number in the call number).
3. Once you've found the 2853 section, look for the "A515" subsection (the second part of the call number, usually in alphabetical and numerical order).
4. Lastly, locate the specific shelf containing "A48 2012" (the third part of the call number). This will lead you to the book you are looking for.

By following these steps, you will find the specific shelf that contains your book with the call number GT2853 A515 A48 2012.

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a = 4 and b = 5 are the answers to the system of equations.

Let's square both sides of the first equation to eliminate the square root:

√a + b = 7

(√a + b)² = 7²

a + 2√ab + b² = 49

a + b² = 49 - 2√ab ---(1)

Now, let's square both sides of the second equation:

√b + a = 11

(√b + a)² = 11²

b + 2√ab + a² = 121

a² + b + 2√ab = 121 ---(2)

We can use equation (1) to substitute for √ab in equation (2):

a + b² = 49 - 2√ab

√ab = (49 - a - b²)/2

Substituting for √ab in equation (2), we get:

a² + b + 2(49 - a - b²)/2 = 121

Simplifying and rearranging, we get:

a² - a + b² - b - 36 = 0

(a - 1/2)² + (b - 1/2)² = 37.25

This is the equation of a circle centered at (1/2, 1/2) with a radius √37.25. We need to find the points where this circle intersects the line defined by equation (1).

Substituting b = 49 - a - 2√(a(49 - a))/2 into equation (1), we get:

a + (49 - a - 2√(a(49 - a)))² = 49 - 2√a(49 - a)

Simplifying and rearranging, we get:

4a³ - 294a² + 2421a - 5929 = 0

Using a numerical solver or the rational root theorem, we can find that one solution of this cubic equation is a = 4.

Substituting this value back into equation (1), we can solve for b:

4 + b² = 49 - 2√(4b)

b² + 2√(4b) - 45 = 0

Using the quadratic formula, we get:

b = 5

Therefore, the solutions of the system of equations are a = 4 and b = 5.

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Complete question:

√a+b=7 and √b +a = 11 If a and b are real numbers that satisfy the equation above, what is the value of a and b respectively?

Therefore, The physical addresses for the given logical addresses are 330, 2910, 255, 1700, and 2312.

To find the physical addresses for the given logical addresses, we need to use the segment base and segment limit values.
For logical address 0, we have segment base 0 and segment limit 400. So, the physical address would be 0 + 330 = 330.
For logical address 1, we have a segment base of 2300 and a segment limit of 700. So, the physical address would be 2300 + 610 = 2910.
For logical address 2, we have segment base 0 and segment limit 300. So, the physical address would be 0 + 255 = 255.
For logical address 3, we have a segment base of 1000 and a segment limit of 580. So, the physical address would be 1000 + 700 = 1700.
For logical address 4, we have a segment base of 2000 and a segment limit of 200. So, the physical address would be 2000 + 312 = 2312.

Therefore, The physical addresses for the given logical addresses are 330, 2910, 255, 1700, and 2312.

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The system of linear inequalities is y ≤ -1/3x and y ≥ 2x. To graph this system, we start by graphing the boundary lines, which are y = -1/3x and y = 2x.

The line y = -1/3x has a negative slope, and it passes through the origin (0,0). We can plot this point and another point on the line to draw the line. For example, if x = 3, then y = -1.

The line y = 2x has a positive slope, and it passes through the origin (0,0). We can plot this point and another point on the line to draw the line. For example, if x = 3, then y = 6.

Now, we need to shade the region that satisfies both inequalities. Since y ≤ -1/3x is a downward-sloping line and y ≥ 2x is an upward-sloping line, the region that satisfies both inequalities is the triangular region below the line y = -1/3x and above the line y = 2x.

We shade this region in the graph by clicking on the area bounded by these two lines and below the x-axis. This represents the solution set of the system of linear inequalities.

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The type of ANOVA used when there are two independent variables each with more than two levels, and with different participants taking part in each condition is called a Two-Way Between-Subjects ANOVA.

This type of ANOVA examines the effects of two independent variables on a dependent variable. The two independent variables are referred to as factors, and each factor has multiple levels or conditions. The between-subjects design means that each participant only takes part in one condition of each factor.

This type of ANOVA allows researchers to determine if there are significant main effects and interactions between the two independent variables on the dependent variable.

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The volume of the cone is V = 103.62 inches³

Given data ,

Let the volume of the cone be V

Let the height of the cone be h = 11 inches

Let the base of the cone be = 6 inches

So , radius r = 3 inches

Now , Volume of Cone = ( 1/3 )πr²h

V = ( 1/3 ) x 3.14 x ( 3 )² x ( 11 )

V = 103.62 inches³

Hence , the volume is 103.62 inches³

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Expect 665 out of the 950 employees to invest money into a retirement fund.

If 14 out of 20 employees prefer to invest in a retirement fund, then the fraction of employees who prefer to invest in a retirement fund is:

14/20

To find the expected number of employees who prefer to invest in a retirement fund out of a total of 950 employees, we can set up a proportion:

14/20 = x/950

where x is the expected number of employees who prefer to invest in a retirement fund.

We can solve for x by cross-multiplying:

14 x 950 = 20( x)

13300 = 20x

x = 665

Therefore, we can expect 665 out of the 950 employees to invest money into a retirement fund.

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Answer:

[tex] {5}^{ \frac{2}{3} } = \sqrt[3]{ {5}^{2} } [/tex]

[tex] {5}^{ \frac{1}{2} } = \sqrt{5} [/tex]

[tex] {3}^{ \frac{2}{5} } = \sqrt[5]{ {3}^{2} } [/tex]

[tex] {3}^{ \frac{5}{2} } = \sqrt{ {3}^{5} } [/tex]

The probability that a person who tests positive actually has the disease is 3.8%.

The probability that a person who tests positive actually has the disease can be computed using Bayes' Theorem. Let D be the event that a person has the disease, and T be the event that a person tests positive.

Then, using Bayes' Theorem:

P(D|T) = P(T|D) * P(D) / [P(T|D) * P(D) + P(T|~D) * P(~D)]

where P(T|D) is the true positive rate (1 - false negative rate), P(T|~D) is the false positive rate, and P(D) is the incidence rate of the disease.

Substituting the given values:

P(D|T) = (0.996 * 0.002) / [(0.996 * 0.002) + (0.05 * 0.998)]

= 0.038

Therefore, the probability that a person who tests positive actually has the disease is 3.8%.

This calculation illustrates the importance of considering both the false positive and false negative rates when interpreting diagnostic test results.

A positive test result may not necessarily mean that a person has the disease, especially if the false positive rate is relatively high. In this case, the false positive rate of 5% means that 5 out of 100 people who do not have the disease would test positive, leading to a relatively low probability of actually having the disease given a positive test result.

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The matrix M is:

M = [ 1/2 -1/2 ]

[ 0 0 ]

Let M = [a b]

[c d]

The matrix equation becomes:

[ a b ] [4 2] = [1 0]

[ c d ] [5 3] [0 1]

Which yields the linear system:

4a + 2b = 1

5c + 3d = 0

4c + 2d = 0

5a + 3b = 1

Now the matrix M is:

M = [a b]

[0 0]

Using the first and fourth equations:

4a + 2b = 1

5a + 3b = 1

Solving this system, we find a = 1/2 and b = -1/2.

So, the matrix M is:

M = [ 1/2 -1/2 ]

[ 0 0 ]

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