Answer:
60 is the correct answer
hope it helps
Answer:
110
Step-by-step explanation:
150+50-90= 110
so therefore the answer is 110
Hamburger meat is $2.19 per pound. A box of spaghetti noodles is $0.79.
Chris is going to purchase four pounds of hamburger meat and three boxes of spaghetti noodles. Write an expression that you could use to determine the amount of money Chris will spend.
Answer:
(2.19 x 4) + (0.79 x 3)
Step-by-step explanation:
ok so u hv to take 2.19 and multiply it by four. Then take 0.79 and multiply it by three.
Answer:
9.55
Step-by-step explanation:
Directions: Solve for x.
1.
Answer:
x = 7
Step-by-step explanation:
28 - 21 = 7
Multiply and write the solution in scientific notation: 3.2 x 10^2 x 10^5
Answer:
3.2×10²×10⁵=32000000
And the scientific notation is 3.2000000x10⁷
Please help me pleeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaasssssssssssssssssssssss
Answer: D
Step-by-step explanation: I got it right.
Answer:
A
Step-by-step explanation:
A Pythagorean triple is a set of three positive integers that satisfy the Pythagorean theorem.
24² +32² = 40²
576 +1024 = 1600 . . . . true, the theorem is satisfied
This is a Pythagorean triple because it contains three positive integers that satisfy the Pythagorean theorem.
_____
You may recognize this as the (3, 4, 5) triple, multiplied by 8.
ARGENT!!!!!
I need help pls
Answer:
1. -15
2. 35
3. -60
4. 5
Step-by-step explanation:
n = 16:
-5/6(2+16)
-5/6(18)
-15
n= -44:
-5/6(2-44)
-5/6(-42)
35
n = 70:
-5/6(2+70)
-5/6(72)
-60
n = -8:
-5/6(2-8)
-5/6(-6)
5
Yong is measuring two pyramids whose bases are rectangles.
Given the length and width of the base of the first pyramid, as well as its volume V, Yong uses the formula
h=3v/lxW
to compute its height h to be 7 centimeters.
The second pyramid has the same volume and base length, but its base's width is 2 times as long. What is its
height?
Answer:
Answer is 7/2 cm
Step-by-step explanation:
1. Set a ratio
\(7=\frac{3V}{l*w}:h=\frac{3V}{l*2w}\)
2. Move 2w from denominator to LHS (Left hand side)\(\frac{7}{2}w=\frac{3V}{l}\)
\(\frac{7}{2w}=\frac{3V}{l}\)
3. The four options are 7/4, 7/2, 14 or 28 cm
Answer:
Choice B
7/2 cm
Step-by-step explanation:
(a) find a combination of step functions that is equal to 4 when 2 ≤t ≤3 and equal to 0 otherwise. (b) write the following function in one line (i.e. without cases) using step functions: f(t)
(a) Recall the definition of the step function,
\(\theta(t) = \begin{cases} 1 & \text{if } t \ge 0 \\ 0 & \text{if } t < 0 \end{cases}\)
Then we have
• \(\theta(t-2) = 1\) if \(t-2\ge0\), or \(t\ge2\)
• \(\theta(t-3) = 1\) if \(t-3\ge0\), or \(t\ge3\)
and we can combine these to get
\(\theta(t-2) - \theta(t-3) = \begin{cases} 1 & \text{if }2\le t < 3 \\ 0 & \text{if }t<2 \text{ or } t\ge3 \end{cases}\)
then scale up by 4 to get the value we want over [2, 3].
\(f(t) = \boxed{4\bigg(\theta(t-2) - \theta(t-3)\bigg)}\)
At least that's what I get using the aforementioned definition of "step function". I don't see a way to have both \(f(2)=4\) and \(f(3)=4\) with this definition...
(b) No function was given...
Find the surface area of the pyramid represented by this net.
square centimeters
Please help 20 points
Answer:
294cm²
Step-by-step explanation:
The formula for this problem is SA=1/2lp+B
SA = 1/2(10) 49 + 7²
= 245 + 49
= 294cm
can someone please help me with this
Topic= Surface area of prisms and cylinders
i keep getting the wrong answers
My working is incorrect please help me.
ANSWERS ARE FOR 4) 1234.10 AND 5)532.00
Step-by-step explanation:
4)
the surface area is
top and bottom : 2× pentagon (5 sides)
sides : 5× rectangle 14×8 ft²
let's start with the easiest : the rectangles.
5 × 14×8 = 560 ft²
the area of a pentagon is similar to any regular polygon :
n × triangle of side×height (to middle of pentagon) / 2
n = number of sides (5 in our case).
the middle or center of the pentagon is the top vertex of each triangle.
so,
5 × 14×9.63 / 2 = 5 × 7 × 9.63 = 337.05 ft²
and we have 2 of them (top and bottom), so
2×337.05 = 674.1 ft³
in total the surface area is
560 + 674.1 = 1,234.1 ft²
5)
6 sides :
top and bottom : 7×14 rectangle
left and right : 7×8 rectangle
front and back : 8×14 rectangle
so, we have
2× 7×14 = 196 mm²
2× 7×8 = 112 mm²
2× 8×14 = 224 mm²
in total that is : 532 mm²
How do you find the center of dilation with a compass?
To find the center of dilation,We'll fix our compass to a distance that is closer to the overall distance but still greater than halfway between vertex L and point C. Start with the compass's point on vertex L while maintaining the same distance, and then draw a curve that intersects the line connecting L and C.
What is Centre of dilation?Centre of dilation of an image in mathematics refers to a change that results in an image with the same shape but a different size, either larger or smaller. A dilation can only be built with two bits of information.
An operation that moves, flips, or otherwise alters a figure to produce a new figure is called a transformation. Rigid transformations maintain size, whereas non-rigid transformations do not. A dilatation enlarges or reduces a figure while maintaining its original shape. To put it another way, the dilatation resembles the original. Every dilatation has a scale factor and a centre. The scale factor indicates how much the figure stretches or contracts, and the centre serves as the point of reference for the dilation (much like the vanishing point in a perspective drawing). A scale factor is usually identified by a label and is never zero. Additionally, the dilatation would be if the original figure were labelled, for example.
The point from which the image is dilated is known as the centre of dilatation (or point of dilation).
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bruce and maria headed north at 11 a.m. at full speed. after 4 hours bruce was 16 miles ahead. what did bruce consider to be full speed if maria's speed was 16 mph?
Therefore, Bruce considered his full speed to be 20 mph if Maria's speed was 16 mph.
If Bruce and Maria both headed north at full speed and after 4 hours Bruce was 16 miles ahead of Maria, we can calculate Bruce's speed.
Bruce's speed can be represented by the variable "B," and Maria's speed is given as 16 mph. Since distance equals speed multiplied by time, we can set up the following equation:
Distance traveled by Bruce = Distance traveled by Maria + 16 miles
B * 4 = 16 * 4 + 16
4B = 64 + 16
4B = 80
Dividing both sides of the equation by 4:
B = 20
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Find the slope given the graph below:
Answer:
5/3
Step-by-step explanation:
rise over run
(y2-y1)/(x2-x1)
(-2-3)=-5
(-2-1)=-3
Directions: Solve for X Round your answer to the nearest tenth. Make sure you calculator
is in degree model
12
Answer:
36.87
Step-by-step explanation:
Using tan inverse of 9 over 12
Answer:
x ≈ 36.9°
Step-by-step explanation:
Using the tangent ratio in the right triangle
tan x = \(\frac{opposite}{adjacent}\) = \(\frac{9}{12}\) , then
x = \(tan^{-1}\) (\(\frac{9}{12}\) ) ≈ 36.9° ( to the nearest tenth )
Which Triangle appears to be both right and isosceles?
Answer: B
Step-by-step explanation: An isosceles right triangle is an isosceles triangle and a right triangle. This means that it has two congruent sides and one right angle. Therefore, the two congruent sides must be the legs.
a study was performed to compare blood-pressure readings obtained from an automated machine versus standard blood-pressure recordings from a mercury sphygmomanometer obtained by a human observer. each patient was measured by both the machine and by a human observer. we want to test if there is a difference between machine reading and human reading. which type of t-test should be used in this situation?
In this situation, a paired t-test should be used.
What is blood pressure?Blood pressure is the force of your blood against the artery walls. Blood is transported from your heart to different regions of your body through arteries. Throughout the day, your blood pressure typically increases and decreases.
What is sphygmomanometer?A sphygmomanometer, commonly referred to as a blood pressure metre, blood pressure gauge, or blood pressure monitor, is a device used to measure blood pressure. The words "sphygmomanometer" and "manometer" are derived from the Greek words "sphygmos" and "manometer," respectively, which mean the instrument used to measure pressure or tension. In the year 1881, Samuel Siegfried Karl Ritter von Basch created this device. However, Scipione Riva-Rocci unveiled a more straightforward sphygmomanometer in 1896.
according to question,
When there are two measurements from the same sample, as in this scenario where each patient is measured by both the machine and a human observer, a paired t-test is performed. To find out if there is a statistically significant difference between the two measurements, utilise the paired t-test.
The mean difference between the two measurements is contrasted to zero using the paired t-test. As opposed to the alternative hypothesis, which states that there is a significant difference between the two measures, the null hypothesis states that there is no difference between the two measurements.
To ascertain whether there is a significant difference between the blood pressure readings received from the automated equipment and the typical blood pressure records obtained in this situation, the paired t-test should be employed.
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a. (5) The demand function for a good X is Qx= m-3Px+2Py, where m is income, Px is the price of X, Py is the price of a related good Y and Qx is the demand for X. Income and prices are all positive. X
The demand function for good X is Qx = m - 3Px + 2Py, where Qx is the quantity demanded of X, m is income, Px is the price of X, and Py is the price of a related good Y. The equation shows that the demand for X is inversely related to its price and directly related to the price of Y. Income, price of X, and price of Y collectively affect the overall demand for X.
The demand function for good X is given by Qx = m - 3Px + 2Py, where Qx represents the quantity demanded of good X, m is the income, Px is the price of good X, and Py is the price of a related good Y. In this equation, the income and prices are assumed to be positive.
To determine the demand for good X, we can analyze the equation. The coefficient -3 in front of Px indicates that the demand for good X is inversely related to its price. As the price of X increases, the quantity demanded of X decreases, assuming other factors remain constant. On the other hand, the coefficient 2 in front of Py indicates that the demand for good X is directly related to the price of the related good Y. If the price of Y increases, the quantity demanded of X also increases, assuming other factors remain constant.
Furthermore, the term (m - 3Px + 2Py) represents the overall effect of income, price of X, and price of Y on the quantity demanded of X. If income (m) increases, the quantity demanded of X increases. If the price of X (Px) increases, the quantity demanded of X decreases. If the price of Y (Py) increases, the quantity demanded of X increases.
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suppose mexico, one of our largest trading partners and purchaser of a large quantity of our exports, goes into a recession. use the ad/as model to determine the likely impact on our equilibrium gdp and price level.
If Mexico, one of our largest trading partners, goes into a recession, it is likely to decrease its demand for our exports. This would shift the aggregate demand (AD) curve leftward, leading to a decrease in equilibrium GDP and price level in the short run.
In the AD/AS model, a decrease in aggregate demand would cause a leftward shift of the AD curve. As a result, the intersection point of the AD and the short-run aggregate supply (SRAS) curves would move to the left, causing a decrease in equilibrium GDP and price level.
In the long run, however, the economy is likely to adjust to the new equilibrium. The decrease in aggregate demand would cause a decrease in prices, which would shift the SRAS curve rightward. Eventually, the new intersection point of the AD and the SRAS curves would be reached, resulting in a new equilibrium GDP and price level.
Overall, a recession in Mexico would likely have a negative impact on the US economy, leading to a decrease in GDP and price level in the short run. However, the economy would eventually adjust to the new equilibrium in the long run.
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The manager of a fast-food restaurant determines that the average time that her customers wait for service is 3 minutes. Find the probability that a customer has to wait more than 4 minutes.
To find the probability that a customer has to wait more than 4 minutes, we need to use the normal distribution and standard deviation.
If the manager knows the standard deviation, we can use it to calculate the z-score and find the probability using a standard normal distribution table. However, since the standard deviation is not given in this question, we will assume that the distribution of waiting times is approximately normal and use the empirical rule.
The empirical rule states that for a normal distribution, approximately 68% of the values lie within one standard deviation of the mean, approximately 95% lie within two standard deviations, and approximately 99.7% lie within three standard deviations.
Since the average time that customers wait is 3 minutes, and we want to find the probability that a customer waits more than 4 minutes, we need to calculate how many standard deviations away from the mean 4 minutes is.
z = (x - μ) / σ
where x = 4, μ = 3, and σ is the standard deviation. Since we don't know the value of σ, we can't calculate the z-score directly. However, we can make a reasonable assumption that the standard deviation is around 1 minute. This is based on the empirical rule which states that approximately 68% of the values lie within one standard deviation of the mean.
So, σ = 1 minute, and
z = (4 - 3) / 1 = 1
Now we can use a standard normal distribution table to find the probability of a z-score of 1 or greater. From the table, we can see that the probability of a z-score of 1 or greater is approximately 0.1587.
Therefore, the probability that a customer has to wait more than 4 minutes is approximately 0.1587 or 15.87%.
To find the probability that a customer at the fast-food restaurant has to wait more than 4 minutes, we'll use the exponential distribution.
1. First, let's find the rate parameter, which is the reciprocal of the average waiting time: λ = 1 / average waiting time. In this case, λ = 1 / 3 ≈ 0.3333.
2. Now, we'll use the cumulative distribution function (CDF) of the exponential distribution to find the probability of waiting less than or equal to 4 minutes: P(X ≤ 4) = 1 - e^(-λx) = 1 - e^(-0.3333 × 4) ≈ 0.7364.
3. To find the probability of waiting more than 4 minutes, subtract the CDF value from 1: P(X > 4) = 1 - P(X ≤ 4) = 1 - 0.7364 ≈ 0.2636.
So, the probability that a customer at the fast-food restaurant has to wait more than 4 minutes is approximately 0.2636 or 26.36%.
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If Josh spent $40.91 and mulch cost $2.75 per bag, how much was a bag of potting soil?
Answer:
THE ACTUAL ANSWER IS p=4.47 and p is for one bag of potting soil
Step-by-step explanation:
THE ACTUAL ANSWER IS p=4.47 and p is for one bag of potting soil
The areas of two similar rectangles are 338cm squared and 72 cm squared. What is the similarity ratio of the perimeters
Answer:
It will be sqrt338 / sqrt72 = 2.16666...
13/6 = 2.166666. in other words
so the answer would be B
Hope this helped
Step-by-step explanation:
Answer:
13:6
Step-by-step explanation:
I’m correct
Please help ASAP More points coming!
Answer:
x=2
y=5
Step-by-step explanation:
fill in x
5y+(y-3)=27
6y-3=27
+3. +3
6y=30
/6. /6
y=5
now fill in y to find x
x=5-3
x=2
Hopes this helps please mark brainliest
What are the x intercept
Answer:
The x-intercept is where a line crosses the x-axis, and the y-intercept is the point where the line crosses the y-axis.
RJ went into a store and eyeballed a pair of jeans. The proprietor of the
store said that the jeans were on sale. They were:
(.000005)(.02)(10,000)(5×10¹8)
2.5×10¹3
dollars off a $100 pair of jeans. RJ quickly did the math and walked out of
the store paying $
for his jeans.
Answer: sorry i needed points :<
Step-by-step explanation:
HELP ASAP!!! What’s the answer?
Step-by-step explanation:
ATTACHED IS THE SOLUTION!Last digit of CUNY id is 5 Suppose you are given the following simple dataset: X Y
0 1
1 Last digit of your cuny id
2 9
a) Regress Y on X, calculate the OLS estimates of coefficients B, and B. b) Calculate the predicted value of Y for each observation. c) Calculate the residual for each observation. d) Calculate ESS, TSS and RSS separately. e) Calculate R². f) What is the predicted value of y if x=the last digit of your cuny id +1? g) Interpret ẞ and B.
Based on the given dataset and information that the last digit of the CUNY ID is 5, the following steps are taken to analyze the data. The OLS estimates of coefficients B and β are calculated, and the predicted values of Y for each observation are determined. Residuals are calculated, along with the explained sum of squares (ESS), total sum of squares (TSS), and residual sum of squares (RSS). The coefficient of determination (R²) is calculated to assess the goodness of fit. Finally, the predicted value of Y is determined when X is equal to the last digit of the CUNY ID + 1.
a) To regress Y on X, we use ordinary least squares (OLS) estimation. The OLS estimates of coefficients B and β represent the intercept and slope, respectively, of the regression line. The coefficients are determined by minimizing the sum of squared residuals.
b) The predicted value of Y for each observation is obtained by plugging the corresponding X values into the regression equation. In this case, since the last digit of the CUNY ID is 5, the predicted value of Y would be calculated for X = 5.
c) Residuals are the differences between the observed Y values and the predicted Y values obtained from the regression equation. To calculate the residual for each observation, we subtract the predicted Y value from the corresponding observed Y value.
d) The explained sum of squares (ESS) measures the variability in Y explained by the regression model, which is calculated as the sum of squared differences between the predicted Y values and the mean of Y. The total sum of squares (TSS) represents the total variability in Y, calculated as the sum of squared differences between the observed Y values and the mean of Y. The residual sum of squares (RSS) captures the unexplained variability in Y, calculated as the sum of squared residuals.
e) The coefficient of determination, denoted as R², is a measure of the proportion of variability in Y that can be explained by the regression model. It is calculated as the ratio of the explained sum of squares (ESS) to the total sum of squares (TSS).
f) To predict the value of Y when X equals the last digit of the CUNY ID + 1, we can substitute this value into the regression equation and calculate the corresponding predicted Y value.
g) The coefficient B represents the intercept of the regression line, indicating the expected value of Y when X is equal to zero. The coefficient β represents the slope of the regression line, indicating the change in Y associated with a one-unit increase in X. The interpretation of β depends on the context of the data and the units in which X and Y are measured.
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Given that 6RSB ~ 6ZQM, list the three pairs of congruent angles and state the three equal ratios of
corresponding sides.
PLZ HELp
Answer:
Step-by-step explanation:
,,,
Can you solve these for me?
The solution to the inequality 4 ≤ -3x - 1 ≤ 9 is -5/3 ≥ x ≥ -10/3.
What is the solution to the given inequality?Given the inequality in the question;
4 ≤ -3x - 1 ≤ 9
To solve, first move all terms not containing x from center section of the inequality.
4 ≤ -3x - 1 ≤ 9
Add 1 to each sides of the inequality
4 + 1 ≤ -3x - 1 + 1 ≤ 9 + 1
4 + 1 ≤ -3x ≤ 9 + 1
Add 4 and 1
5 ≤ -3x ≤ 9 + 1
Add 9 and 1
5 ≤ -3x ≤ 10
Now, divide each term in the inequality by -3
5 / -3 ≥ -3x / -3 ≥ 10 / -3
Simplify
5 / -3 ≥ x ≥ 10 / -3
-5/3 ≥ x ≥ -10/3
Therefore, the solution is -5/3 ≥ x ≥ -10/3.
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Partial derivatives Given F(r,s,t)=r(9s^6−9t^6 ), compute:
The partial derivatives of the function F(r, s, t) = r(9s^6 - 9t^6) can be computed as follows:
To find the partial derivative with respect to r, we treat s and t as constants and differentiate the term r(9s^6 - 9t^6) with respect to r. This results in a coefficient of (9s^6 - 9t^6) and no dependence on r.To find the partial derivative with respect to s, we treat r and t as constants and differentiate the term r(9s^6 - 9t^6) with respect to s. The derivative of 9s^6 with respect to s is 54s^5, and since r and t are constants, the term -9t^6 remains unchanged.To find the partial derivative with respect to t, we treat r and s as constants and differentiate the term r(9s^6 - 9t^6) with respect to t. The derivative of -9t^6 with respect to t is -54t^5, and the term 9s^6 remains unchanged.Therefore, the partial derivatives of F(r, s, t) are ∂F/∂r = 9s^6 - 9t^6, ∂F/∂s = 54rs^5, and ∂F/∂t = -54rt^5.The partial derivatives of F(r, s, t) are computed by treating the other variables as constants and differentiating the function with respect to the variable of interest. The derivative with respect to r yields a coefficient of (9s^6 - 9t^6), while the derivatives with respect to s and t involve the terms 54rs^5 and -54rt^5, respectively.
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Suppose if you have a lot of training data from an arbitrary distribution, would you expect the lda classifier to give similar boundaries to the bayes classifier?
No, the LDA classifier and the Bayes classifier would not necessarily give similar boundaries when trained on a large amount of training data from an arbitrary distribution.
The LDA (Linear Discriminant Analysis) classifier assumes that the input features are normally distributed and that the class covariances are equal. It finds linear boundaries that maximize the separation between classes based on these assumptions. On the other hand, the Bayes classifier makes decisions based on the class conditional probabilities and prior probabilities of the classes. It can handle arbitrary distributions and does not make assumptions about the class covariances. Therefore, even with a large amount of training data, if the distribution of the data does not conform to the assumptions of LDA (e.g., non-normal distributions or unequal class covariances), the LDA classifier may not give similar boundaries to the Bayes classifier.
The LDA and Bayes classifiers may not give similar boundaries when trained on data from an arbitrary distribution, as the LDA classifier relies on specific assumptions about the data distribution that may not hold true in practice.
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Determine which pair of rates are equivalent.
A. $2.00 for 5 cookies; $6.00 for 20 cookies
B. $2.00 for 5 cookies; $8.00 for 10 cookies
C. $2.00 for 5 cookies; $6.00 for 10 cookies
D. $2.00 for 5 cookies; $8.00 for 20 cookies
Answer:
The answer is D