solve the system 2 -1 5 -2 with -2 -1 . give your solution in real form. , . an ellipse with counterclockwise orientation 1. describe the trajectory.

The inequality that represents the graph is Oys-3x+2. This inequality states that the y-value is greater than or equal to -3x+2.

Graph is a data structure that consists of nodes (also called vertices) and edges. Nodes represent entities such as people, places or objects, while edges represent the relationship between the nodes. Graphs are used to represent many different types of real-world relationships, such as social networks, transportation networks and communication networks. Graphs can also be used to solve complex problems in computer science, operations research and mathematics. Graphs provide an efficient way to store and manipulate data and can be used to represent both directed and undirected relationships.

This inequality can be interpreted as the solution set of all points that have a y-value that is at least -3x+2.

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The correct answer to the question, "Which of the following is equivalent to the probability of getting less than 50% democrats in a random sample of size 100?" is: B. P( z < 50 — 55/ √55(45)/100).

To find the probability, we first calculate the z-score using the formula:

z = (x - μ) / σ

where x is the value (50%), μ is the mean (55%), and σ is the standard deviation.

The standard deviation can be calculated as:

σ = √(np(1-p))

where n is the sample size (100) and p is the proportion of democrats (0.55).

Now, plug in the values into the z-score formula:

z = (50 - 55) / √(100 * 0.55 * 0.45)

The probability is then found as P(z < z-score), which is represented by the option B.

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The calculated total mass of Caroline in kg by the calculation below is 41,393.415 kilograms

Caroline's mass is 41,390,000 grams.

To convert grams to kilograms, we need to divide by 1000:

41,390,000 grams / 1000 = 41,390 kilograms

Caroline's baby sister's mass is 3,415 grams.

To convert grams to kilograms, we also need to divide by 1000:

3,415 grams / 1000 = 3.415 kilograms

Therefore, their total mass in kilograms is:

41,390 kilograms + 3.415 kilograms = 41,393.415 kilograms

Hence, the total mass is 41,393.415 kilograms

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Answer: A - (-5, 43)

Step-by-step explanation:

Tom will pay a total of $13,424.20 in interest over the term of the loan.

The formula to calculate the monthly payment for an amortized loan is given by:  `P = r(PV) / [1 - (1 + r)^(-n)]`Where P is the monthly payment, r is the interest rate per month, PV is the present value of the loan, and n is the number of payments or the total number of months.

Substituting the given values, we get:P = 0.0052083333 × 44,000 / [1 - (1 + 0.0052083333)^(-7×12)]P = 632.32Therefore, Tom's monthly payment is $632.32 (rounded to the nearest cent).b. Since Tom pays the monthly payment each month for the full term, his total amount to repay the loan is equal to the present value of the loan.

Therefore, the total amount to repay the loan is $44,000 (rounded to the nearest cent).c. The total amount of interest paid over the term of the loan can be calculated as the difference between the total amount repaid and the principal amount of the loan.

Therefore, the total interest paid is: Total interest paid = Total amount repaid - Principal amount of the loan Total interest paid = $57,424.20 - $44,000Total interest paid = $13,424.20

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By looking at the box plot, we can determine that the IQR is 40 pounds.

The interquartile range (IQR) of the players' weights is the difference between the upper quartile (Q3) and the lower quartile (Q1). The upper quartile is the value that 75% of the players' weights are below, and the lower quartile is the value that 25% of the players' weights are below.

Calculating the IQR requires the following steps:

In this case, the interquartile range of the players' weights is the difference between the upper quartile (Q3) and the lower quartile (Q1). By looking at the box plot, we can determine that the IQR is 40 pounds.

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Therefore, the probability that [tex]X + Y < 2900 is 0.98.[/tex]

P[tex](X + Y < 2900) = 0.98.[/tex]
To calculate the probability, we need to use the joint probability density function of X and Y, given as f(xy) = 6 × 10^(-6) exp(-0.001x-0002y) for x < y.

We can then use the integral equation to solve this equation:

[tex]P(X + Y < 2900) = ∫02900∫x2900-x 6×10-6exp(-0.001x - 0.0002y)dydx[/tex]
The integral yields:

P(X + Y < 2900) = 0.98.

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Answer:

x ≤ 55/7

Step-by-step explanation:

7x - 5 ≤ 50

7x ≤ 55

x ≤ 55/7

Answer:

When rounding to 1 significant figure, we keep the first non-zero digit and drop all the remaining digits. In this case, the first non-zero digit is 2, so we keep that and drop all the remaining digits:

a) 276040 rounds to 3 x 10^5 (or 300000 in standard form).

So the rounded number to 1 significant figure is 3 x 10^5.

Answer:The equation of a line that passes through a point is an algebraic equation. It can also be referred to as the Slope-Intercept Equation.The equation of the line that passes through the point (4, 4) and has a slope of 0 is written as: y = 4 The equation of the line through a point (x1, y1) can be represented by the algebraic equation:y = mx + cwhere:m = slopec = y - interceptFrom the question,(x1, y1) = (4, 4)m = slope = 0Substituting these values into the algebraic equation,4 = (0 x 4) + c Hence, y = 4The equation of the line that passes through the point (4, 4) and has a slope of zero is y = 4

Answer:

y=4

Step-by-step explanation:

If a line has a slope of 0, then it is a horizontal line, and all points on the line have the same y-coordinate. We are given that the line passes through the point (4, 4). Therefore, the equation of the line in slope-intercept form is:

y = b

where b is the y-coordinate of the point through which the line passes. In this case, b = 4, so the equation of the line is:

y = 4

Therefore, the equation of the line in slope-intercept form is y = 4.

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the probability that the difference between the sample mean and the true population mean will not exceed 0.5 inch is 0.9544

We can use the central limit theorem to approximate the distribution of the sample mean. Since the sample size is large (n=100), the sample mean follows approximately a normal distribution with a mean equal to the population mean and a standard deviation equal to the population standard deviation divided by the square root of the sample size (i.e., 2.5/sqrt(100) = 0.25).

Let X be the sample mean, then we want to find P(|X - μ| ≤ 0.5), where μ is the population mean.

Using the standard normal distribution, we can standardize X as follows:

Z = (X - μ) / (σ / sqrt(n)) = (X - μ) / 0.25

So we want to find P(|Z| ≤ 2), where Z follows a standard normal distribution.

Using a standard normal distribution table or calculator, we find that P(|Z| ≤ 2) = 0.9544.

Therefore, the probability that the difference between the sample mean and the true population mean will not exceed 0.5 inch is 0.9544

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Rational numbers are numbers that can be expressed as a ratio of two integers, where the denominator is not zero. -1/4 can be expressed as a ratio of -1 and 4, so it is a rational number.

An irrational number cannot be stated using fractions, whereas a rational number can be expressed as the ratio of two integers with the denominator not equal to zero. Irrational numbers are non-terminating and non-recurring, whereas rational numbers have terminating digits.

Rational numbers contain the integer 0. It is not illogical to think that 0 is a number.

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Alien is an extraterrestrial species or a hypothetical species that lives beyond the planet Earth. They are beings from other planets that can travel in spacecraft. They are often depicted as having unique or supernatural powers that are beyond those of humans. The question given is about an alien species that leaves its planet to explore other planets. We are given the information that 120 aliens have left planet zenith over the past 3 years. We need to write an expression to model the change in aliens per year on planet zenith. We can write the following expression:Change in aliens per year = Total number of aliens left / Number of yearsThe total number of aliens left in the past 3 years is 120. Therefore,Total number of aliens left = 120Number of years = 3Substituting the values in the above expression, we get:Change in aliens per year = 120 / 3Change in aliens per year = 40 aliens per yearThe expression to model the change in aliens per year on planet zenith is 40 aliens per year. This means that 40 aliens are leaving planet zenith each year to explore other planets in the universe.

The average change in aliens per year can be calculated using the above expression. The change in aliens per year is 40 aliens. Hence, every year 40 aliens are leaving planet Zenith to explore other planets in the universe.

To model the change in aliens per year on planet Zenith, an expression can be formed from the given data. Let's look into the steps to model the change in aliens per year on planet zenith.

Step 1: We are given that 120 aliens have left planet zenith over the past 3 years.

Step 2: To find the change in aliens per year, we can divide the total number of aliens who left the planet over the past 3 years by the number of years.

Change in aliens per year = (120 aliens) / (3 years)

Step 3: Simplifying the above expression we get,Change in aliens per year = 40 aliens per year

Therefore, the expression to model the change in aliens per year on planet Zenith is 40 aliens per year. This implies that every year 40 aliens are leaving planet Zenith to explore other planets in the universe.

Evaluation: As per the given problem, 120 aliens have left planet Zenith over the past 3 years.

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An important advantage of experiments over observational studies is that experiments can control for lurking variables to have a stronger case for causation. Another advantage is that experiments can isolate the effects of a specific treatment.

What is an experiment?

An experiment is a scientific study that is designed to test a hypothesis or investigate a cause-and-effect relationship between variables. Experiments allow researchers to manipulate one variable (independent variable) and observe the effect on another variable (dependent variable) while controlling for other variables that may affect the outcome (lurking variables).

What are observational studies?

Observational studies are research designs that observe and collect data from participants without manipulating any variables. In observational studies, the researchers only observe and record what happens naturally without intervening in any way. Observational studies are used when experiments are not feasible or ethical.

What are the advantages of experiments over observational studies?

Experiments have several advantages over observational studies. Some of the advantages include:

Control over variables: Experiments allow researchers to control for variables that may affect the outcome by manipulating one variable (independent variable) and keeping all other variables constant. This helps researchers to establish a cause-and-effect relationship between variables.

Isolation of specific effects: Experiments can isolate the effects of a specific treatment by comparing outcomes between treatment groups and control groups. This helps researchers to determine the effectiveness of the treatment with a high degree of accuracy.

Similarity between treatment groups: Experiments can ensure that approximately the same number of subjects is assigned to each treatment group, thereby minimizing the effects of individual differences on the outcome. This increases the statistical power of the study and reduces the likelihood of obtaining spurious results.

Control of extraneous variables: Experiments can control for lurking variables (extraneous variables) that may affect the outcome by manipulating one variable (independent variable) and keeping all other variables constant. This helps researchers to establish a strong case for causation.

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Step-by-step explanation:

Without seeing the graph, it's difficult to determine the exact solution to the system of equations. However, the point of intersection between the two lines represents a solution that satisfies both equations. To find the x-coordinate of this point, you can use algebraic methods, such as substitution or elimination, to solve for the value of x.

The middle 50% of the distribution for X, or the IQR, lies between 87 acres and 261 acres.

A measurement of the dispersion or variability of a dataset is the interquartile range (IQR). The 75th and 25th percentiles of the data, or the difference between the upper and lower quartiles, are used to define it. The range of the middle 50% of the data is represented by it, in other words.

The IQR is a reliable indicator of the spread of the data that, in comparison to the range or standard deviation, is less susceptible to outliers or extreme values. For this reason, it is valuable in statistics. It is frequently employed as a measure of variability when the data contains extreme values or when the distribution is not normal.

Given that, mean = 174 and standard deviation = 58 acres.

Using the quartile values we have:

Q1 = mean - (1.5 * standard deviation)

Q1 = 174 - (1.5 * 58) = 87 acres

Q3 = mean + (1.5 * standard deviation)

Q3 = 174 + (1.5 * 58) = 261 acres

Hence, the middle 50% of the distribution for X, or the IQR, lies between 87 acres and 261 acres.

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The complete question is:

The student question is about calculating the statistics and probabilities for two different sample sizes of adolescent girls who are developmentally delayed, reaching their adult height.

For the sample size of 29 girls, the estimated standard error is 1.6337, and the statistic is 1.10. For the larger sample size of 91 girls, the new estimated standard error is 0.9222, and the new statistic is 1.95. As the sample size increases, the statistic becomes smaller.

Using the Distributions tool to determine the probability of getting the statistic or something more extreme for each sample size, you can find the probabilities (p) for each case. For the sample size of[tex]29 (n=29),[/tex] you will obtain a specific probability (p).

Similarly, for the sample size of[tex]91 (n=91)[/tex], you will get another probability (p). The distribution will change with larger sample sizes (n).

To observe the distribution changes, you can use the Degrees of Freedom slider in the tool and move it from the smallest value to the largest value. This will help you see how the shape of the distribution changes as the sample size increases.

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The algebraic expression for the particle's velocity vₓ at a later time t is v(t) = ct²/2m +v₀ₓ.

Given that,

c = speed of light

t = time

v₀ₓ = initial velocity of particle

m = mass of particle

Velocity and acceleration are related through time. Acceleration is the rate of change of velocity, which is represented graphically as the slope of the velocity vs. time line. Velocity can be represented as the area underneath an acceleration vs. time line.

Newton's second law declares that an object having mass m will accelerate due to a net force (F) will accelerate at a rate of:

α = F/m

Therefore, the function that describes the acceleration at any point in time of the particle is:

α(t)=ct/m

The velocity function is the integral of the acceleration function, so we get:

v(t)= ∫ct/m dt

= ct²/2m +C

where the constant C is the initial velocity of the particle at time t=0. Therefore, the velocity function representing the velocity at any point in time is:

v(t) = ct²/2m +v₀ₓ

Therefore, the algebraic expression for the particle's velocity vₓ at a later time t is v(t) = ct²/2m +v₀ₓ.

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Answer:

The number cube has 6 equally likely outcomes, so the probability of rolling a 1 or a 6 on any given roll is 2/6 = 1/3.

If Kenya rolls the number cube 90 times, we can use the expected value formula to find the expected number of times that a 1 or a 6 will land face up:

Expected number of 1's or 6's = (number of rolls) x (probability of rolling a 1 or a 6)

Expected number of 1's or 6's = 90 x (1/3)

Expected number of 1's or 6's = 30

Therefore, a reasonable prediction for the number of times that a 1 or a 6 will land face up is 30.

The answer is k = 1/5, which represents the constant of proportionality between y and x in the equation y = x/5.

What is proportion?

Proportion is a mathematical concept that describes the equality of two ratios. In other words, it is a statement that two ratios or fractions are equal.

To determine if the equation y = x/5 represents a proportional relationship, we need to check if there is a constant of proportionality between y and x.

If there is a constant of proportionality, then we can write y = kx, where k is the constant of proportionality. In other words, the ratio of y to x is always the same constant value.

To find the constant of proportionality for the equation y = x/5, we can rearrange the equation as:

y/x = 1/5

This means that the ratio of y to x is always 1/5. Therefore, there is a constant of proportionality, which is 1/5.

So, the equation y = x/5 represents a proportional relationship, and the constant of proportionality is 1/5.

Therefore, the answer is k = 1/5, which represents the constant of proportionality between y and x in the equation y = x/5.

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(a) The probability that there is exactly one car and exactly one bus during a cycle is 0.020.

(b) The probability that there is at most one car and at most one bus during a cycle is 0.105.

(c) The probability that there is exactly one car during a cycle is 0.100, and the probability that there is exactly one bus during a cycle is 0.200. The probability that there is exactly one car is also 0.050.

(a) To find the probability that there is exactly one car and exactly one bus during a cycle, we need to look at the cell in the table where x = 1 and y = 1. This cell has a probability of 0.020. Therefore, the probability that there is exactly one car and exactly one bus during a cycle is 0.020.

(b) To find the probability that there is at most one car and at most one bus during a cycle, we need to add up the probabilities of the cells where either x = 0 or x = 1, and either y = 0 or y = 1. These cells are

x = 0, y = 0: 0.025

x = 0, y = 1: 0.010

x = 1, y = 0: 0.050

x = 1, y = 1: 0.020

Adding up these probabilities, we get

0.025 + 0.010 + 0.050 + 0.020 = 0.105

Therefore, the probability that there is at most one car and at most one bus during a cycle is 0.105.

(c) To find the probability that there is exactly one car during a cycle, we need to add up the probabilities of the cells where x = 1. These cells are

x = 1, y = 0: 0.050

x = 1, y = 1: 0.020

x = 1, y = 2: 0.030

Adding up these probabilities, we get

0.050 + 0.020 + 0.030 = 0.100

Therefore, the probability that there is exactly one car during a cycle is 0.100.

To find the probability that there is exactly one bus during a cycle, we need to add up the probabilities of the cells where y = 1. These cells are

x = 0, y = 1: 0.010

x = 1, y = 1: 0.020

x = 2, y = 1: 0.050

x = 3, y = 1: 0.060

x = 4, y = 1: 0.040

x = 5, y = 1: 0.020

Adding up these probabilities, we get

0.010 + 0.020 + 0.050 + 0.060 + 0.040 + 0.020 = 0.200

Therefore, the probability that there is exactly one bus during a cycle is 0.200.

Finally, the probability that there is exactly one car can also be obtained by summing the probabilities of the cells in the first row of the table

0.025 + 0.010 + 0.015 = 0.050

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The slice for apple will have an angle of 60 degrees, the slice for banana will have an angle of 90 degrees, the slice for guava will have an angle of 30 degrees, and the slice for grapes will have an angle of 180 degrees.

A pie chart is a circular statistical graphic, which is divided into slices to illustrate numerical proportion. In a pie chart, the arc length of each slice is proportional to the quantity it represents. Pie charts are commonly used in business, media, and other fields to represent percentages, ratios, and proportions. They are useful for quickly understanding the relative sizes of different categories or groups in a dataset.

Here,

To create a pie chart from the given data, we first need to calculate the angle of each slice of the pie chart. To do this, we use the following formula:

Angle for a slice = (Frequency of the category ÷ Total frequency) × 360°

Using the given data, we can calculate the angle of each slice as follows:

Angle for apple = (12 ÷ 72) × 360° = 60°

Angle for banana = (18 ÷ 72) × 360° = 90°

Angle for guava = (6 ÷ 72) × 360° = 30°

Angle for grapes = (36 ÷ 72) × 360° = 180°

Now, we can draw a circle and divide it into 12 parts (each representing 30 degrees). Then, we can draw the slices of the pie chart using the angles we calculated above.

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Answer: 2+ 2

Step-by-step explanation:

no problem

Answer:

x = 65° , y = 115° , z = 65°

Step-by-step explanation:

consecutive angles in a parallelogram are supplementary , then

x + 115° = 180° ( subtract 115° from both sides )

x = 65°

opposite angles in a parallelogram are congruent , then

y = 115° and z = x = 65°

Answer:

See below!

Step-by-step explanation:

So,

So,

y + x = 180°

115 + x = 180

x = 180 - 115

Again,

z = x (Opposite angles)

So,

[tex]\rule[225]{225}{2}[/tex]

The study described in the question is a randomized crossover trial, where each participant serves as their own control by receiving both treatments  in a randomized order

In a matched pairs experiment, each subject is paired with another subject who is similar in some relevant characteristic, and one subject receives the treatment while the other serves as a control. The two subjects in each pair are matched on this characteristic to reduce the effect of confounding variables.

In contrast, a randomized crossover trial is a type of experiment in which each participant receives both treatments (in this case, canned soup and fresh soup) in a randomized order, with a washout period between the treatments to minimize carryover effects. In this study, the participants were randomly assigned to either start with canned soup or fresh soup and then switched to the other treatment after a two-day break. Each participant thus serves as their own control, and the difference in outcome between the two treatments is compared within each individual.

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The given question is incomplete, the complete question is:

Bisphenol A in Your Soup Cans Bisphenol A (BPA) is in the lining of most canned goods, and recent studies have shown a positive association between BPA exposure and behavior and health problems. How much does canned soup consumption increase urinary BPA concentration? That was the question addressed in a recent study1 in which consumption of canned soup over five days was associated with a more than 1000 % increase in urinary BPA. In the study, 75 participants ate either canned soup or fresh soup for lunch for five days. On the fifth day, urinary BPA levels were measured. After a two-day break, the participants switched groups and repeated the process. The difference in BPA levels between the two treatments was measured for each participant. The study reports that a 95 % confidence interval for the difference in means (canned minus fresh) is 19.6 to 25.5 ?g/L. 1Carwile, J., Ye, X., Zhou, X., Calafat, A., and Michels, K., ‘‘Canned Soup Consumption and Urinary Bisphenol A: A Randomized Crossover Trial,” Journal of the American Medical Association, 2011; 306(20): 2218–2220.Is this a randomized comparative experiment or a matched pairs experiment?

Answer:

x = 8

y = 12

Step-by-step explanation:

m∠A = sin⁻¹(9/15) = 36.87⁰

cos36.87 = y/15

y = 15(cos36.87) = 12

sin36.87 = 12/(12+x)

12 + x = 12/(sin36.87)

x = 12/(sin36.87) - 12 = 8

fv(40,20) ≈ (f(40.1,20) - f(40,20))/0.1 , ft(40,20) ≈ (f(40,20.05) - f(40,20))/0.05 are the required functional estimations of a given representations.

However, we can estimate the partial derivatives with respect to x (fv) and y (ft) at the point (40,20) using the definition of partial derivatives:

fv = ∂f/∂x ≈ (f(40+h,20) - f(40,20))/h

where h is a small increment in the x direction. Similarly,

ft = ∂f/∂y ≈ (f(40,20+k) - f(40,20))/k

where k is a small increment in the y direction.

To estimate fv(40,20) and ft(40,20), we need to choose small values of h and k and evaluate the function at the corresponding points. Let's say h = 0.1 and k = 0.05:

fv(40,20) ≈ (f(40.1,20) - f(40,20))/0.1

ft(40,20) ≈ (f(40,20.05) - f(40,20))/0.05

We can then use these estimates to approximate the value of f(40.1,20.05) using the first-order Taylor approximation:

f(40.1,20.05) ≈ f(40,20) + fv(40,20)0.1 + ft(40,20)0.05

Note that this is an approximation and may not be very accurate if the function is highly nonlinear or has discontinuities. However, it can give us a rough idea of the value of f(40,20) and how it changes with small variations in x and y.

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The area of the circle with circumference 19cm is 6.42cm²( nearest hundredth).

Area of a circle is the region occupied by the circle in a two-dimensional plane. It can be determined easily using a formula, A = πr2. Where r is the radius.

The circumference of a circle is given as ;

C = 2πr

C = 9cm

therefore, 9 = 2× 3.14 × r

9 = 6.28r

r = 9/6.28

r = 1.43 cm

Area of circle = πr²

= 3.14 × 1.43²

= 6.42cm²( nearest hundredth)

therefore the area of the circle is 6.42cm²

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Every student may take on any part, and no student may take on more than one role. Hence, it is feasible to have 45 different casts.

In contrast, there are various techniques to select r things from a set of n objects and arrange these r objects in permutations.

The permutations formula itself states that selection should come first (nCr), followed by arrangement (r).

the given :

10 students are working on a skit,

2 different roles. each role can be played by anyone

n = 10

r = 2

nPr = nCr x r!

nCr = n!/r!(n-r)!

so,

nCr = 10!/2!(10-2)!

nCr = 10x9/2x1

nCr = 45

so, the 45 different casts are possible

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