Given that the measure of ∠x is 110°, and the measure of ∠y is 59°, find the measure of ∠z.

Sine: the ratio of the length of the side opposite the angle to the length of the hypotenuse

Cosine: the ratio of the length of the adjacent side to the length of the hypotenuse

Tangent: the ratio of the length of the side opposite the angle to the length of the adjacent side

Cosecant: the reciprocal of the sine function

Secant: the reciprocal of the cosine function

Cotangent: the reciprocal of the tangent function

What is Trigonometry ?

Trigonometry is a branch of mathematics that deals with the relationships between the sides and angles of triangles. Right triangles are particularly important in trigonometry because they have one angle that measures 90 degrees, which allows us to define the six trigonometric functions: sine, cosine, tangent, cosecant, secant, and cotangent.

According to the question:
In a right triangle, the side opposite the 90-degree angle is called the hypotenuse, and the other two sides are called the legs. We can use the ratios of the lengths of the sides to define the six trigonometric functions as follows:

Sine: the ratio of the length of the side opposite the angle to the length of the hypotenuse

Cosine: the ratio of the length of the adjacent side to the length of the hypotenuse

Tangent: the ratio of the length of the side opposite the angle to the length of the adjacent side

Cosecant: the reciprocal of the sine function

Secant: the reciprocal of the cosine function

Cotangent: the reciprocal of the tangent function

Trigonometry is used in a wide range of fields, including physics, engineering, and navigation. It allows us to solve problems involving angles and distances, and to model periodic phenomena such as waves and oscillations.

Q: Explain about right angle and trigonometry ?

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Answer:

Step-by-step explanation:

[tex]A=\frac{1}{2} h(a+b)[/tex]

[tex]24=\frac{1}{2} h(5+6)[/tex]

[tex]24=\frac{11} 2 h[/tex]                  

[tex]11h=48[/tex]                                (multiplied both sides by 2)

[tex]h=\frac{48}{11}=4\frac{4}{11}=4.36 units[/tex]      (divided both sides by 11)

answer: 10

step by step explanation:

this is not a textbook way but

4:5 means 4/5 and we know that the numbers will be equal to this number so we can multiply the number 4/5*2/2 so we will get 8/10

8/10=4/5

and 8*10=80

so 1st no. is 8 and 2nd is 10

10>8

Answer:

greater number is 10

Step-by-step explanation:

the ratio of the 2 numbers = 4 : 5 = 4x : 5x ( x is a multiplier )

their product is 80 , that is

4x × 5x = 80

20x² = 80 ( divide both sides by 20 )

x² = 4 ( take square root of both sides )

x = [tex]\sqrt{4}[/tex] = 2

then greater number = 5x = 5 × 2 = 10

Answer:

t=36°

Step-by-step explanation:

90-54=36

opposite angles are equal so t=36°

An SAT-M score in the 98th percentile is approximately 734.55 or higher.

According to the College Board website,

The scores on the math part of the SAT (SAT-M) in a recent year had a mean of 507 and a standard deviation of 111. Assume that SAT-M scores follow a normal distribution. To gain admission to a particular engineering school, a requirement is to obtain an SAT-M score in the 98th percentile, indicating that the score is among the top 2% of scores.

For getting the actual SAT-M score, we need to find the corresponding z-score for the 98th percentile.

Using the Inverse Normal Distribution Calculator, we get a z-score of 2.05 for the 98th percentile.

So, the formula for finding an actual SAT-M score is:

x = μ + zσ

Where x is the actual SAT-M score,

μ is the mean = 507,

z is the z-score = 2.05,

σ is the standard deviation = 111

x = 507 + (2.05)(111)

x = 507 + 227.55

x = 734.55

The actual SAT-M score for the 98th percentile is approximately 734.55 (rounded to the nearest hundredth).

Therefore, an SAT-M score of 734.55 or higher is required for admission to the engineering school.

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The plot suggests that the logistic regression model is not adequately fitting the data.

The deviance residuals plot against the estimated model probabilities with a lowess smooth indicates how well the logistic regression model fits the data. A plot with residuals around zero suggests that the model is adequately fitting the data. In this case, the deviance residuals are around 14.83 which indicates a poor fit of the model. Therefore, the plot suggests that the logistic regression model is not adequately fitting the data.

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The answer is the second one.

The -1 is shaded in, and the arrow is pointing to the ĺeft.

Option A,B,C,D : Elias might have gotten the answer by calculating the percentage discounts of each item and comparing them to see which ones are the same.

To find which items have the same percent discount, we need to calculate the percent discount for each item.

For the sweater, the percent discount is (20/50) x 100% = 40%.

For the shorts, the percent discount is (12/30) x 100% = 40%.

For the shirt, the percent discount is (14/35) x 100% = 40%.

For the jeans, the percent discount is (24/60) x 100% = 40%.

Therefore, all items have the same percent discount of 40%, and option C (jeans and shirt only) is incorrect. The correct answer is A, sweater and shorts only, B, sweater, shorts, and shirt only, and D, sweater, shorts, and jeans only, have the same percent discount. Elias may have chosen C because he overlooked that the percent discount is the same for all items.

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Which items have the same percent discount?

A. sweater and shorts only

B. sweater, shorts, and shirt only

C. jeans and shirt only

D. sweater, shorts, and jeans only

Elias chose C as the correct answer. How might he have gotten that answer?

This means that the line represented by f(x-3) has been shifted down by 39 units compared to the line represented by f(x).

In mathematics, the term "Y-intercept" refers to the point at which a graph or line intersects the y-axis. It is the value of the dependent variable (usually represented by "y") when the independent variable (usually represented by "x") is equal to zero.

For example, the equation of a straight line can be written in the form y = mx + b, where m is the slope of the line and b is the y-intercept. The y-intercept is the value of y when x is equal to zero.

So, if the equation of a line is y = 2x + 5, then the y-intercept is 5, because this is the value of y when x is equal to zero.

To simplify f(x-3), we need to substitute x-3 for x in the expression for f(x):

[tex]f(x-3) = 10(x-3) - 9[/tex]

Expanding the multiplication and simplifying, we get:

[tex]f(x-3) = 10x - 30 - 9[/tex]

[tex]Therefore, f(x-3) = 10x - 39.[/tex]

To determine the slope, we can compare this expression to the standard form of a linear equation, y = mx + b, where m is the slope. We can see that the coefficient of x in the simplified expression is 10, so the slope is 10. This means that the line represented by f(x-3) is steeper than the line represented by f(x).

To determine the y-intercept, we can look at the constant term in the expression. In this case, the constant term is -39. This means that the line represented by f(x-3) has been shifted down by 39 units compared to the line represented by f(x).

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The most conservative cutover method when converting to a new system is the Phased Cutover.

This method allows for the implementation of the new system in multiple stages, thereby reducing risk. First, the new system is installed and tested. Next, a small portion of data is moved to the new system.

After data is moved, the new system is tested again. This process is repeated until all data has been moved and tested, and the new system is running smoothly.

Once the new system is running successfully, the old system is discontinued.

The phased cutover method ensures that the new system is functioning correctly, and gives time for system users to get used to the new system, before the old system is turned off.

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As per the geometric sequence, the common ratio is -7.

Firstly, let's start with a brief introduction to what a sequence is. A sequence is simply a list of numbers that follow a certain pattern or rule. For example, the sequence 1, 3, 5, 7, 9 is a sequence of odd numbers.

Now, let's talk about a geometric sequence specifically.

Now, let's apply this to the sequence you were given: -3, 21, -192. To find the common ratio, we need to look at the ratio of any term to the previous term. For example, we can look at the ratio of the second term (21) to the first term (-3):

r = 21 / (-3) = -7

This means that the common ratio of the sequence is -7, since each term is found by multiplying the previous term by -7.

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Answer:

The z-Table gives the area under the standard normal curve to the left of z. What does the t-Table give? The t-Table gives the area under the t-curve with n degrees of freedom to the left of it

HOPE THIS HELPSSS!

The distance from S to the plane x+y+z=0 is sqrt(105)/7.

To find the distance from the sphere S to the plane x+y+z=0, we need to first find the center of the sphere S. We know that the center of the sphere S is (1, 2, 3) and the radius of the sphere is 1. We can use the equation of the plane x+y+z=0 to find the distance from the center of the sphere to the plane.

We can use Lagrange multipliers to find the distance from the center of the sphere to the plane. We need to minimize the function [tex]f(x, y, z) = (x-1)^2 + (y-2)^2 + (z-3)^2[/tex] subject to the constraint x+y+z=0. Using Lagrange multipliers, we get the following system of equations:

2(x-1) = λ

2(y-2) = λ

2(z-3) = λ

x+y+z = 0

Solving these equations, we get x = 1-λ/2, y = 2-λ/2, and z = 3-λ/2. Substituting these values into the equation x+y+z=0, we get λ = 12/7. Substituting this value of λ into x, y, and z, we get the coordinates of the point on the plane closest to the center of the sphere: (5/7, 4/7, -9/7).

To find the distance from the center of the sphere to the plane, we can use the distance formula. The distance from the center of the sphere to the plane is given by the length of the vector connecting the center of the sphere to the point on the plane closest to the center of the sphere. Therefore, the distance from the sphere S to the plane x+y+z=0 is:

d = sqrt[(5/7 - 1)^2 + (4/7 - 2)^2 + (-9/7 - 3)^2] = sqrt[105/49] = sqrt(105)/7.

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Answer: $5

Step-by-step explanation:

If you sell 3 shirts for $15 you would then just divide the 3 shirts into how much all together to get the price for each shirt for $5.

The total number of listings possible for the 14 teams in the local little league is 11,664. This is because there are 14 teams, so the number of possible listings is equal to 14! (14 factorial). 14! is equal to 1x2x3x4x5x6x7x8x9x10x11x12x13x14, which equals 11,664.

To further explain, 14! is the number of ways to arrange 14 items. This is because the first item can be arranged in 14 ways, the second item in 13 ways, the third in 12, and so on. This means that the total number of possible arrangements is 14x13x12x11x10x9x8x7x6x5x4x3x2x1, which equals 11,664.

Therefore, the total number of listings possible for the 14 teams in the local little league is 11,664.

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The slope-intercept form of the inequality is given as follows:

The slope-intercept representation of a linear function is given by the equation presented as follows:

y = mx + b

The coefficients of the function and their meaning are described as follows:

Hence the inequality for this problem is simplified as follows:

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Teresa needs to buy two new tires for her mountain bike.

With a budget of $120, she will likely spend within $25 of that amount.

To help her find the best deal, Teresa should first research what type of mountain bike tire she needs. She can look at the bike's current tires to determine the size, or she can look up the bike model and size online. She should then research prices at a variety of local bike shops and online retailers to compare costs.

Once she finds the best price, Teresa should look for discounts and coupon codes that she can use to reduce the cost of her tires. She should also make sure she is aware of any extra costs, such as shipping and taxes.

With some research and savvy shopping, Teresa should be able to find two mountain bike tires that fit within her budget of $120 and that will keep her bike running smoothly.

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The random variable in this situation is the number of defective cameras selected in the sample of 2 cameras. This random variable can be denoted by x.

Let us look at the different values that the random variable x can take. x can take the values 0, 1, or 2. If x=0, then it means that none of the 2 cameras selected is defective. If x=1, then it means that one of the 2 cameras selected is defective. Lastly, if x=2, then it means that both of the 2 cameras selected are defective.

In order to determine the probability of a certain value of the random variable, we need to find the ratio of favorable outcomes to the total number of possible outcomes. In this case, the favorable outcomes refer to the number of defective cameras in the sample and the total number of possible outcomes refers to the total number of combinations when selecting two cameras from the box.

The probability of x=0 is given by the ratio of the number of favorable outcomes, which is 0, to the total number of possible outcomes, which is 6C2. Hence, the probability of x=0 is 0.

The probability of x=1 is given by the ratio of the number of favorable outcomes, which is 3C1, to the total number of possible outcomes, which is 6C2. Hence, the probability of x=1 is 3/15.

The probability of x=2 is given by the ratio of the number of favorable outcomes, which is 3C2, to the total number of possible outcomes, which is 6C2. Hence, the probability of x=2 is 3/20.

To summarize, the probability distribution of the random variable x is given by:

P(x=0) = 0
P(x=1) = 3/15
P(x=2) = 3/20

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The probability that the second chip drawn is red is 1/3.

The probability of drawing a red chip on the first draw is 6/10, or 3/5. After one chip is discarded, there are 9 chips remaining, 3 of which are red. So the probability of drawing a red chip on the second draw, given that a chip has already been discarded, is 3/9, or 1/3.

Therefore, the probability that the second chip drawn is red is 1/3. This is because the first chip drawn could be either white or red, so there are two possible scenarios. If the first chip drawn is white, there will be 6 red chips and 3 white chips left, so the probability of drawing a red chip on the second draw will be 6/9 or 2/3. If the first chip drawn is red, there will be 5 red chips and 4 white chips left, so the probability of drawing a red chip on the second draw will be 5/9. To get the overall probability of drawing a red chip on the second draw, we need to take the average of these two probabilities, weighted by the probability of the first chip being white or red, respectively.

The probability of the first chip being white is 4/10, or 2/5, and the probability of the first chip being red is 6/10, or 3/5. So the overall probability of drawing a red chip on the second draw is

(2/5) x (2/3) + (3/5) x (5/9) = 4/15 + 1/3 = 3/9 = 1/3.

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Y = 2x + 1, Z = (-1 + 219) / 15, and Z = (-1 - 219) / 15 are the equations to solve for the triangles that are supplied. The abbreviation is 4x2 + 11x - 8.

It's a good idea to have a backup plan in case the main one fails. Its longest side is the hypotenuse, which is also the side of the right triangle that faces the right angle. Height and base make form the two arms of a right angle.

To find z, use the quadratic formula: 15z2 + 6z - 8 = 4z.

Let's first put all the terms aside:

15z + 2z - 8 = 0

The quadratic formula is then used:

z = (-2 ± √(2² - 4(15)(-8))) / (2(15))

z = (-2 ± √(304)) / 30

reducing the radical

z = (-2 ± 4√19) / 30

z = (-1 ± 2√19) / 15

Hence, the answers to z are:

z = (-1 + 2√19) / 15

z = (-1 - 2√19) / 15.

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Every procedure that produces predictable results is considered an experiment, and the sample space (S) for an experiment is the collection of all possible results.

The possibility or chance that a particular occurrence will occur is expressed numerically as a probability. Probabilities can be expressed as proportions with a 0–1 range or as percentages with a 0%–100% range.

Probability theory, a branch of mathematics, is concerned with the study of random events. A random occurrence can take on any number of distinct shapes, but its conclusion cannot be predicted before it occurs. The way things came out is thought to have been influenced by chance.

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Therefore, for spheres of different sizes, we need to use different measuring units, unlike prisms and pyramids, where a unit cube can be used as a standard unit for all shapes with the same base and height.

Volume is a measure of the amount of space occupied by a three-dimensional object. It is the measure of the total amount of space that an object takes up. The standard unit of volume is the cubic meter (m³) in the International System of Units (SI), but other units such as cubic centimeters (cm³) and cubic inches (in³) are also commonly used. The volume of an object can be calculated using different formulas depending on its shape and dimensions.

Here,

A unit sphere is not a good unit of volume measurement for all spheres because spheres come in various sizes and diameters. The unit sphere has a radius of 1, and while it can be used to measure the volume of spheres with radii equal to 1, it cannot be used to measure the volume of spheres with different radii.

For example, if we want to find the volume of a sphere with a radius of 2, we cannot use the unit sphere as a measuring unit. Instead, we would need to use a larger sphere with a radius of 2 as our measuring unit.

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Answer:

x^2 +6x+7

Step-by-step explanation:

for roots a and b

x^2 - (a+b)x + ab = (x-a)(x-b)

To find:-

Answer:-

The given equation to us is ,

[tex]\implies 7m - n = \dfrac{4(x+9m^2)}{n} \\[/tex]

We are interested in evaluating the value of x at m = 5 and n = 3 . So plug in these values in the given equation as ,

[tex]\implies 7(5) - 3 = \dfrac{4(x+9(5)^2}{3} \\[/tex]

Simplify,

[tex]\implies 35 - 3 = \dfrac{4( x + 9(25))}{3} \\[/tex]

[tex]\implies 32 = \dfrac{4(x+225)}{3} \\[/tex]

Cross multiply,

[tex]\implies 32(3) = 4(x+225) \\[/tex]

Divide both the sides by 4 ,

[tex]\implies \dfrac{32(3)}{4}= x+225 \\[/tex]

Simplify,

[tex]\implies 24 = x + 225 \\[/tex]

Subtract 225 on both the sides,

[tex]\implies 24 - 225 = x \\[/tex]

Simplify,

[tex]\implies \underline{\underline{ x = -201}} \\[/tex]

Hence the value of x is -201 when m = 5 and n = 3 .

and we are done!

In the multiple regression model with k regressors, the variance of the stochastic errors in the population can be estimated by the residual mean square (MSE).

         Multiple regression is a statistical tool that allows the researcher to estimate the relationship between multiple independent variables and a dependent variable. It measures the impact of a given independent variable on the dependent variable after controlling for the other independent variables.

        In simple linear regression, there is only one independent variable, whereas, in multiple linear regression, there is more than one independent variable.

         Residual mean square (MSE) is the variance of the error term (the difference between the predicted and observed values). It represents the average variance of the errors or the average deviation of the dependent variable from its predicted value.

         The MSE can be used to estimate the variance of the stochastic errors in the population. It is calculated by dividing the sum of squared residuals by the degrees of freedom (n-k-1)

           Where n is the sample size and k is the number of regressors.

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The MCAT scores variable can predict some of the variation in the response variable.

The logistic regression model is a type of regression analysis that is widely used in various fields. A logistic model can be fitted using the glm() function in R. Now fit a logistic model with a single explanatory variable, MCAT scores.In logistic regression, the null deviance is the deviance for a model that has only the intercept. The null deviance will always be equal to the residual deviance if the model has only the intercept.The null deviance is calculated based on the difference between the saturated and null models' likelihoods. It is the amount of variation in the response variable that cannot be explained by the model when no predictor variables are used. When the single predictor variable MCAT scores is added to the null model, it reduces the null deviance by 11.59. This is significant because it indicates that the MCAT scores variable can predict some of the variation in the response variable.

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Given:

ratio = 5:6 , Antecedent = 95

so, as we know that if a ratio is in the form of a/b, then  

a is antecedent and b is called consequent.

so,

5/6 =95/b

on doing cross multiplication we get;

5×b=95×6

b=(95×6)/5

b=19×6

b=114

Hence, consequent(b) is 114.

RMSE (Root Mean Squared Error) is a measure of the difference between predicted and actual values in a regression problem. It indicates the standard deviation of the residuals or prediction errors. In this case, we have an RMSE of 58.78 for the validation set and 57.12 for the test set.

The new data RMSE is likely to be within the range of the validation and test set RMSE values, but it's difficult to pinpoint an exact range without more information about the data and the model.

The test set RMSE is usually considered to be a more accurate estimate of the model's generalization error because it's calculated on a set of data that the model has not seen during training or validation.

It's important to note that the new data may have different characteristics or distributions compared to the validation and test sets, which can affect the RMSE. Therefore, it's recommended to monitor the model's performance on new data and adjust the model accordingly if necessary.

In conclusion, without additional information, we can assume that the new data RMSE will likely fall within the range of the validation and test set RMSE values, but we cannot provide an exact range without more context. It's important to continue monitoring the model's performance on new data to ensure its accuracy and reliability.

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Answer: y= x + 4

Step-by-step explanation: