Solve -11 > -1 - 2x solve and check your answer

Answer:

A) x = 12

Step-by-step explanation:

if its a right angle? then the angle in total is 90 degrees,

subtract the 35 from 90 to get 55 degrees,

4x + 7 = 55 solve this

4x = 48

x = 12

In linear equation, Price-club sells a 12-ounce package of spaghetti noodles for $3.44 and Shop Mart sells a 2-pound box of spaghetti noodles for $8.35.

What is linear equation explain with example?

For Price Club,

12 ounce package costs $3.44

By unitary method, 1 ounce would cost =$(3.44/12)

=$ 0.286

For Shop Mart,

2 pound (32 ounce) costs $8.35 [1 pound = 16 ounce]

By unitary method, 1 ounce would cost =$(8.35/32)

=$ 0.261

Since, $0.286>$0.261,

The price per ounce for Price Club is more.

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Answer:

here man let me is 1 im sure the answer is =((1))

Step-by-step explanation:

6^(-3 * 10^(-10 * 27 * 25 / 5^(-8 * 3^(4 * 2^-3))))

Jimmy's age = (serena age + tyler age) - 1

The tennis ball has traveled a horizontal distance of 3.717 m, to the nearest tenth of a metre, when it lands on the ground. Hence, the correct option is (A) 3.7.

The given function is h(d) = -0.12d² +0.22d+1.1.

It models the path of a tennis ball hit from a height of 1.1 m above the ground.

Here, d represents the horizontal distance in meters, and h(d) represents the height in meters.

To find how far the tennis ball travelled horizontally when it lands on the ground, we need to find the value of d when h(d) = 0, because the ball will hit the ground when its height is zero.

Substituting h(d) = 0 in the given function, we get:

0 = -0.12d² +0.22d+1.1

Simplifying, we get: 0.12d² - 0.22d - 1.1 = 0

We can solve this quadratic equation using the quadratic formula, which is given by:

-b ± sqrt(b² - 4ac) / 2a, where a, b, and c are the coefficients of the quadratic equation.

Here, a = 0.12, b = -0.22, and c = -1.1.

Substituting the values, we get:

d = [0.22 ± sqrt(0.22² - 4(0.12)(-1.1))] / 2(0.12)

Simplifying,

We get:

d = [0.22 ± sqrt(0.5964 + 0.528)] / 0.24d

= [0.22 ± sqrt(1.1244)] / 0.24d

= [0.22 ± 1.0604] / 0.24

We get two values of d as follows:d = 3.717 m, -1.598 m

Since the ball cannot travel a negative distance, the only possible solution is d = 3.717 m.

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Answer:

the slope of MN= -5-1/3-(-6)=-2/3

two lines are parallel>> slopes are equal

equation of line = (y-y'=m(x-x'))

therefore, y-1= -2/3(x-6)

y-1 = -2/3x + 4

y+2/3x=5

Answer:

\(x + 2 = - 3x\)

\( - 4x = 2\)

\(x = - \frac{1}{2} \)

\( - 3( - \frac{1}{2} ) = \frac{3}{2} = 1 \frac{1}{2} \)

So the lines intersect at (-1/2, 1 1/2), or

(-.5, 1.5).

When comparing hash values, if the provided hash value matches the one you calculated, it means that the file you have received is identical to the original file used to calculate the hash. This implies that the file has not been modified or tampered with since the hash was generated.

However, it is important to note that a matching hash value does not guarantee that the file is completely safe or trustworthy. Hash functions are designed to generate a unique hash value for each unique input, but it is still theoretically possible for two different files to have the same hash value (known as a collision). Although the chances of a collision are extremely low with well-designed hash functions, it is not entirely impossible.

Therefore, while a matching hash value provides some level of confidence that the file has not been altered, it does not guarantee the integrity or security of the file. Other factors should be considered, such as the source and reputation of the file, the context in which it was obtained, and the presence of any additional security measures or verification methods.

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Answer:

\(3x + y = 3 \\ 3 = x - y \\ 3 = x\)

Answer:

y = -3x - 4

Step-by-step explanation:

We are given the equation 3x + y = 3, and we want to find an equation of the line that is parallel to 3x + y = 3.

This same line also passes through the point (1, -7).

Parallel lines have the same slopes. This means that we'll first need to find the slope of 3x + y = 3.

The equation is written in standard form, which is ax+by=c, where a, b, and c are free integer coefficients, but a and b cannot be 0. a is usually non-negative as well.

There is a shortcut into finding the slope when the equation is in standard form; the slope of the line is -a/b, where a is the coefficient in front of x and b is the coefficient in front of y).

The coefficient in front of x is 3, and 1 in front of y.

Substitute 3 as a, and 1 as b in -a/b. Don't forget about the - in front of a!

-3/1 = -3

This means the slope of the line is -3.

It is also the slope of the line parallel to it.

We can write the equation of the line we are trying to solve for in standard form, too. However, we could also write it in slope-intercept form.

Slope-intercept form is given as y=mx+b, where m is the slope and b is the y intercept.

As we are already given the slope, we can immediately plug that into the formula.

Replace m with -3.

y = -3x + b

Now we need to find b.

As the equation passes through the point (1, -7), we can use its values to help solve for b.

Substitute 1 as x and -7 as y.

-7 = -3(1) + b

Multiply.

-7 = -3 + b

Add -3 to both sides

-4 = b

Substitute -4 as b into the equation

y = -3x - 4

The mean for the first probability distribution is 2.9.

The mean for the second probability distribution is 2.42.

To create a probability distribution, the sum of all probabilities should equal 1.

For the first probability distribution:

x / P(x)

0 / 0.05

1 / 0.07

2 / 0.01

3 / ?

4 / 0.2

To find the missing value for P(3), we need to subtract the sum of the probabilities given from 1:

1 - (0.05 + 0.07 + 0.01 + 0.2) = 1 - 0.33 = 0.67

So, the missing value is P(3) = 0.67.

For the second probability distribution:

x / P(x)

0 / 0.14

1 / 0.13

2 / 0.02

3 / ?

4 / 0.12

Again, we can find the missing value by subtracting the sum of the given probabilities from 1:

1 - (0.14 + 0.13 + 0.02 + 0.12) = 1 - 0.41 = 0.59

So, the missing value is P(3) = 0.59.

To find the mean for a probability distribution, we multiply each value of x by its corresponding probability and then sum them up.

For the first probability distribution:

Mean = 0 * 0.05 + 1 * 0.07 + 2 * 0.01 + 3 * 0.67 + 4 * 0.2

= 0 + 0.07 + 0.02 + 2.01 + 0.8

= 2.9

The mean for the first probability distribution is 2.9.

For the second probability distribution:

Mean = 0 * 0.14 + 1 * 0.13 + 2 * 0.02 + 3 * 0.59 + 4 * 0.12

= 0 + 0.13 + 0.04 + 1.77 + 0.48

= 2.42

The mean for the second probability distribution is 2.42.

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The value of angle x is 36°

Angles on a straight line relate to the sum of angles that can be arranged together so that they form a straight line.

The sum of angles on a straight line is 180° . therefore if angles on a straight line are A, B, C

A + B + C = 180°

Similarly since the angles on the line are all x, then,

x+x +x +x + x = 180°

5x = 180

divide both sides by 5

x = 180/5

x = 36

This means the value of each angle is 36°

Therefore the value of x is 36°

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Given that, Aakash has a fever, if  his body temperature during the day was 99.2°F and by evening his body temperature has increased by 3.4°F, Aakash's body temperature in the evening is 102.6° Fahrenheit.

The body temperature is simply a measure of how well a human body can produce and get rid of heat. the normal body temperature is or 37 degrees Celsius or 98.6 degrees Fahrenheit.

Given the data in the question;

To get Aakash body temperature in the evening, we simply add the initial body temperature and the the temperature increase.

Temperature in the evening = 99.2° Fahrenheit + 3.4° Fahrenheit

Temperature in the evening = 102.6° Fahrenheit

Given that, Aakash has a fever, if  his body temperature during the day was 99.2°F and by evening his body temperature has increased by 3.4°F, Aakash's body temperature in the evening is 102.6° Fahrenheit.

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To modify your code to print a 1 if there are infinitely many solutions and a 0 if there are no solutions, you can add some additional checks after performing Gaussian elimination.

After performing Gaussian elimination, check if there is a row where all the coefficients are zero but the corresponding constant term is non-zero. If such a row exists, it indicates that the system of equations is inconsistent and has no solutions. In this case, you can print 0.

If there is no such row, it means that the system of equations is consistent and can have either a unique solution or infinitely many solutions. To differentiate between these two cases, you can compare the number of variables (unknowns) with the number of non-zero rows in the reduced row echelon form. If the number of variables is greater than the number of non-zero rows, it implies that there are infinitely many solutions. In this case, you can print 1. Otherwise, you can print the unique solution as you would normally do in your code.

By adding these checks, you can determine whether the system of linear equations has infinitely many solutions or no solutions and print the appropriate output accordingly.

To determine whether a system of linear equations has infinitely many solutions or no solutions, we can consider the behavior of the system after performing Gaussian elimination. Gaussian elimination is a technique used to transform a system of linear equations into a simpler form known as the reduced row echelon form.

When applying Gaussian elimination, if at any point we encounter a row where all the coefficients are zero but the corresponding constant term is non-zero, it implies that the system is inconsistent and has no solutions. This is because such a row represents an equation of the form 0x + 0y + ... + 0z = c, where c is a non-zero constant. This equation is contradictory and cannot be satisfied, indicating that there are no solutions to the system.

On the other hand, if there is no such row with all zero coefficients and a non-zero constant term, it means that the system is consistent. In a consistent system, we can have either a unique solution or infinitely many solutions.

To differentiate between these two cases, we can compare the number of variables (unknowns) in the system with the number of non-zero rows in the reduced row echelon form. If the number of variables is greater than the number of non-zero rows, it implies that there are more unknowns than equations, resulting in infinitely many solutions. This occurs because some variables will have free parameters, allowing for an infinite number of combinations that satisfy the equations.

Conversely, if the number of variables is equal to the number of non-zero rows, it indicates that there is a unique solution. In this case, you can proceed with printing the solution as you would normally do in your code.

By incorporating these checks into your code after performing Gaussian elimination, you can determine whether there are infinitely many solutions (print 1) or no solutions (print 0) and handle these cases appropriately.

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The probability of exactly 16 students having jobs in the sample is 0.204 and the probability of 16 or more students having jobs in the sample is 0.334.

Let X be the number of KSU students with jobs in a random sample of 20 students. Since each student in the sample can be either employed or not employed, X follows a binomial distribution with parameters n = 20 (the sample size) and p = 0.50 (the probability of a student having a job).

To find the probability of exactly 16 students having jobs in the sample, we can use the binomial probability mass function

P(X = 16) = (20 choose 16) * 0.5^16 * 0.5^(20-16) = 0.204

To find the probability of 16 or more students having jobs in the sample, we can use the cumulative distribution function

P(X ≥ 16) = 1 - P(X < 16) = 1 - ∑(i=0 to 15) (20 choose i) * 0.5^i * 0.5^(20-i) = 0.334

Based on the sample data, it appears that the proportion of KSU students with jobs is higher than the professor's conjectured value of 0.50. However, we cannot conclusively reject the professor's conjecture based on a single sample of 20 students.

We would need to conduct a hypothesis test with appropriate statistical significance level to determine if the difference between the sample proportion and the conjectured value is statistically significant or not.

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Answer:

840

Step-by-step explanation:

m = number of males

f = number of females

t = total entrants

t = m + f

m = f + 252

0.35(m + f) = f (×20)

7(m + f) = 20f

These are simultaneous which can be solved:

7(m + f) = 20f

7m + 7f = 20f

7m = 13f

Substitute:

7(f + 252) = 13f

7f + 1764 = 13f

6f = 1764

f = 294

m = 546

t = 294 + 546

t = 840

Some information that someone might use to solve problems related to a circle design is the Tangent Arc theorem.

The tangent arc theorem states that if an angle is formed by two secants, one secant, one tangent, or two tangents, and also intersects in a space outside of the circle, then the value obtained will be equal to the difference of the values of the intercepted arcs divided by one and a half.

Also, note that angles outside a circle are those whose vertex or arc is pointed outwards and their sides are either secants or tangents. With this information, it will be possible to solve problems related to tangent lines and arc measures.

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Answer:

18

Step-by-step explanation:

14 11/12 rounds to 15, and 3 1/6 rounds to 3. 3 plus 15 is 18.

Answer:

pls is this a question or not.

Answer:

\(T = 100\)

Step-by-step explanation:

See attachment for parallelogram TRIK

Given

\(T = 5x\)

\(I = 2(x + 30)\)

Required

Determine T

Because T and I are opposite angles of the parallelogram, then they are congruent.

i.e.

\(T = I\)

Substitute values for T and I

\(5x = 2(x + 30)\)

Open bracket

\(5x = 2x + 60\)

Collect Like Terms

\(5x - 2x = 60\)

\(3x = 60\)

Solve for x

\(x = \frac{60}{3}\)

\(x =20\)

Recall that:

\(T = 5x\)

\(T = 5 * 20\)

\(T = 100\)

Answer:

10

Step-by-step explanation:

Just took the test

Answer:

2:3

Step-by-step explanation:

The estimated total time for all five pools is approximately 13.85 hours.

To estimate the time required to install the fifth pool using the learning curve, we can use the formula:

Time for nth unit = Time for first unit * (n^b)

Where:

Time for nth unit is the estimated time to install the nth pool

Time for first unit is the estimated time to build the first pool (30 hours)

n is the number of units (in this case, n = 5 for the fifth pool)

b is the learning curve exponent (85% learning rate corresponds to b = log(0.85) / log(2))

Let's calculate the estimated time for the fifth pool:

b = log(0.85) / log(2) ≈ -0.157

Time for fifth pool = Time for first pool * (5^b)

Time for fifth pool = 30 * (5^(-0.157))

Calculating this, we find:

Time for fifth pool ≈ 30 * 0.6764 ≈ 20.29 hours

Therefore, the estimated time required to install the fifth pool is approximately 20.29 hours.

To calculate the total time for all five pools, we need to sum the time required for each pool from the first to the fifth. Since the learning curve assumes decreasing time with increasing units, we can use a summation formula:

Total time for all units = Time for first unit * ((1 - (n^b)) / (1 - b))

Using this formula, let's calculate the total time for all five pools:

Total time for all five pools = Time for first pool * ((1 - (5^b)) / (1 - b))

Total time for all five pools = 30 * ((1 - (5^(-0.157))) / (1 - (-0.157)))

Calculating this, we find:

Total time for all five pools ≈ 30 * 0.4615 ≈ 13.85 hours

Therefore, the estimated total time for all five pools is approximately 13.85 hours.

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Answer:

42 (d)

Step-by-step explanation:

the longest side of the smaller one is 6, each side of the larger one is just 3x the length of the smaller side. I hope that makes sense, it's just a ratio. Hope this helped! Good luck!

Answer:

The perimeter of the larger triangle is 42 inches.

Step-by-step explanation:

Since the question mentions that the two triangles are similar, we must establish proportions using what we already know.

Smaller triangle: 3 + 5 + 6 = 14

Larger triangle: x + y + 18 = perimeter

Determine the GCF (greatest common factor):

The GCF is 3.

Now, subsitute the values for x and y by solving via the GCF.

Larger triange:  9 + 15 + 18 = perimeter

9 + 15 + 18 = 42

Hope this helps; have a wonderful day!

Discrete-data is a category of quantitative information that has countable or finite values.

This indicates that there are no intermediate values between the precise numerical values that can be used to convey the data; only those values can be used. The number of siblings a person has, the number of pets a home has, and the number of individuals in a room are all examples of discrete data.

Numerous statistical methods, such as measures of central tendency like the mean, median, and mode, as well as measures of dispersion like range and standard deviation, can be used to analyse discrete data. Additionally, discrete data can be displayed graphically using tools like bar charts and frequency histograms.

A discrete data set is the number of stories in a skyscraper in Manhattan. A continuous data set, on the other hand, can be divided into ever-smaller pieces and can take on any value within a range. Therefore (b), "A discrete data set because the possible values can be counted."

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The roots have positive or same signs when c>0.

Note that only real numbers can be positive or negative. This concept does not apply to complex non real numbers. So first we have to make sure that the roots are real which occurs when discriminant is greater or equal to 0.

\(b^{2} -2ac > 0\\2^{2} -2(-1) (c) > 0\\4-2c > 0\\c > -2\)

Roots of quadrant equation have Samsame sign if product of roots >0.

\(\frac{a}{c} > 0\\\frac{c}{-1} > 0\\c < 0\)

Roots of quadratic equation have positive sign if product of roots<0.

c>0.

Combining results, we get:-

roots have positive signs when:-

c>0.

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It is not advisable to use the sample mean as an estimate of the population mean without including a margin of error.

When estimating a population parameter, such as the population mean, using a sample, it is essential to consider the uncertainty or variability in the sample estimate. This uncertainty is captured by the margin of error.

The sample mean provides an estimate of the population mean based on the available sample data. However, it is subject to sampling variability, meaning that different samples from the same population may yield different sample means. This variability arises due to the inherent randomness in the sampling process.

By including a margin of error, we acknowledge and quantify this sampling variability. The margin of error provides a range within which the true population mean is likely to lie. It accounts for the uncertainty associated with estimating the population parameter based on a finite sample.

Ignoring the margin of error means disregarding the inherent variability in the sample mean and assuming that it perfectly represents the true population mean. This assumption is generally not valid and can lead to inaccurate or misleading conclusions about the population.

By including a margin of error, we convey the level of confidence or precision associated with our estimate and provide a more realistic assessment of the population mean. This helps in making informed decisions or drawing valid statistical inferences based on the sample data.

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39 subjects were tested in this simple one-way ANOVA.

The df for F distribution is (treatment df, error df)

Using given information

Treatment df = 7

Error df = 31

Total df= 7+31 = 38

Again, total df = N-1, N= number of subjects tested

Then, N-1 = 38

=> N= 39

One-way ANOVA is typically used when there is a single independent variable or factor and the goal is to see whether variation or different levels of that factor have a measurable effect on the dependent variable.

The t-test is a method of determining whether two populations are statistically different from each other, and ANOVA determines whether three or more populations are statistically different from each other.

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A) System doesn't have a solution.

x-y=4

2x-2y=1

x=4+y

2(4+y)-2y=1

8+2y-2y=1

8≠1

B) System has one solution.

x-4y=0

2x+4y=3

x=4y

2(4y)+4y=3

8y+4y=3

12y=3

y=1/4

C) Every solution is right for the system.

x-2y=1

4x-8y=4

x=1+2y

4(1+2y)-8y=4

4+8y-8y=4

4=4