Which of the following is false?A. The distribution of areas of houses in Ames is unimodal and right-skewed.B. 50% of houses in Ames are smaller than 1,499.69 square feet.C. The middle 50% of the houses range between approximately 1,126 square feet and 1,742.7 square feet.D. The IQR is approximately 616.7 square feet.E. The smallest house is 334 square feet and the largest is 5,642 square feet

Answer:

110

Step-by-step explanation:

54+14=68+14=82+14=96+14=110

adding 14

Answer:

A. p2=16

soln:

p=4×4=16

so,

p2=16

Answer:

Step-by-step explanation:

The formula for the area of a circle is:

A = πr^2

where A is the area, π (pi) is approximately 3.14, and r is the radius.

Substituting the given radius of 17 inches into the formula, we get:

A = 3.14 × 17^2

A = 3.14 × 289

A = 907.06

Therefore, the area of the circle is approximately 907.06 square inches.

Answer:

907.46

Step-by-step explanation:

Area of a circle formula is πr^2

It says the radius is 17

**Simplify**

(3.14)(17)^2=907.46

Answer:

55% because 1815 divided by 3300 is .55, and .55 is 55%

Answer:

I think it's A (parallel)

Answer:

A. its parallel

Step-by-step explanation:

all angles are equal... two sides are perpendicular and two are parallel

Upper

daysThe(a) The time for an individual to recover from an infectious disease, is estimated to be between 4.02 and 5.98 days. (d) The structured SIR model assumes homogeneous mixing, constant population, recovered immunity.

(a) To calculate the time for an individual to recover with a 95% confidence level, we can use the properties of the normal distribution. The 95% confidence interval corresponds to approximately 1.96 standard deviations from the mean in both directions.

Given:

Mean (μ) = 5 days

Standard deviation (σ) = 0.5 days

The confidence interval can be calculated as follows:

Lower limit = Mean - (1.96 * Standard deviation)

Upper limit = Mean + (1.96 * Standard deviation)

Lower limit = 5 - (1.96 * 0.5)

= 5 - 0.98

= 4.02 days

Upper limit = 5 + (1.96 * 0.5)

= 5 + 0.98

= 5.98 days

Therefore, the time for an individual to recover from the infectious disease with a 95% confidence level is between approximately 4.02 and 5.98 days.

(b) To simulate the epidemic using the SIR model, we need additional information about the transmission rate and the duration of infectivity.

(c) Without the transmission rate and duration of infectivity, we cannot determine the fraction of the total population that will have come down with the infectious disease once the epidemic is over.

(d) The structured model in this case is the SIR (Susceptible-Infectious-Recovered) model, which is commonly used to study the dynamics of infectious diseases. The major assumptions associated with the SIR model include:

Homogeneous mixing: The model assumes that individuals in the population mix randomly, and each individual has an equal probability of coming into contact with any other individual.

Constant population: The model assumes a constant population size, without accounting for birth, death, or migration rates.

Recovered individuals develop immunity: The model assumes that individuals who recover from the infectious disease gain permanent immunity and cannot be reinfected.

No vaccination or intervention: The basic SIR model does not incorporate vaccination or other intervention measures.

These assumptions simplify the model and allow for mathematical analysis of disease spread dynamics. However, they may not fully capture the complexities of real-world scenarios, and more sophisticated models can be developed to address specific contexts and factors.

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Answer:

A- is ur answer

Step-by-step explanation:

hope this helps

Step-by-step explanation:

1=2 given

also 1=3. [ vertical opposite angles are equal]

From above equations:

2=3

corresponding angles are equal which means both lines are parallel.

Hope thus will help:)

Answer:

8

Step-by-step explanaion

the line shows what predict and if you go over 12 hours the line says it would be 8.

Categorical charts are useful in displaying nominal data or numerical data that splits nicely into different categories so you can quickly see comparative results and trends.

The type of chart that is useful in displaying nominal data or numerical data that splits nicely into different categories is called a categorical chart. Categorical charts allow you to quickly see comparative results and trends by displaying data in separate categories or groups. This makes it easier to identify patterns and trends in the data and to draw conclusions about the relationships between different variables.

Examples of categorical charts include bar charts, column charts, and pie charts. Bar charts and column charts are commonly used to display numerical data, while pie charts are often used to display proportional data. Categorical charts can be used in a variety of contexts, such as business, education, and scientific research, to help communicate complex data in a clear and concise manner.

Overall, categorical charts are a powerful tool for organizing and displaying data in a way that makes it easy to identify patterns and trends. By using these charts, you can quickly and accurately visualize complex data sets and draw conclusions about the relationships between different variables.

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The area of the rectangle 81 square units and the perimeter of the rectangle is 36 units.

In this question, we have been given the rectangle with coordinates (3,7), (3,-2), (-6.-2) and (-6,7)

We need to find the perimeter and area of the rectangle.

Using distance formula we find the length and width of the rectangle.

d1 = √(-2 - 7)² + (3 - 3)²

d1 = √(-9)²

d1 = 9

And d2 = √(-2 + 2)² + (-6-3)²

d2 = √(-9)²

d2 = 9

d3 = √(7 + 2)² + (-6 + 6)²

d3 = 9

This means, the length and width of rectangle are equal i.e., 9 units.

So, perimeter would be,

P = 4 * 9

P = 36 units

And the area would be,

A = 9 * 9

A = 81 square units

Therefore, the area of the rectangle 81 square units and the perimeter of the rectangle is 36 units.

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The equation that could be used to find x, the number of bikes the store had originally, is (x-94) = 0.

According to the question,

We have the following details:

Bill has sold 36 bikes and is left with 58 bikes more.

Now, the number of bikes the store had originally is given to be x.

So, we have:

x = Number of bikes sold + Number of bikes left

x = 36+58

x = 94

x-94 = 0 (94 was positive on the right hand side. So, it is negative on the left hand side.)

Hence, the equation that could be used to find number of original bikes in Bill's store is x-94 = 0.

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The percentage of scores greater than 34 is 0.5398 or 53.98%.

Given that the mean of scores (μ) = 35 and the standard deviation (σ) = 10. We need to find the percentage of scores greater than 34. Since the scores are normally distributed, we can standardize the variable by using the z-score formula.

z = (x - μ) / σ

Here, x = 34, μ = 35 and σ = 10z = (34 - 35) / 10z = -0.1

We need to find the area to the right of the z-score line on the standard normal distribution table. The standard normal distribution table provides the probabilities corresponding to the z-scores, i.e. the area under the curve to the right or left of the z-score line on the distribution table. The area to the right of the z-score line represents the percentage of scores that are greater than the given value. Using the standard normal distribution table, the area to the right of the z-score line -0.1 is 0.5398.

The percentage of scores greater than 34 is 0.5398 or 53.98%.

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Step-by-step explanation:

Hola supiste algo bro o no

The dispersion, which represents the rate of change of the angle  \(\theta\) with respect to the wavelength \(\lambda\), is zero.

To differentiate the expression dsin(\(\theta\)) = m\(\lambda\), where d is the spacing between adjacent lines on the grating, \(\lambda\) is the wavelength, and m is the order of the maximum intensity, we need to differentiate both sides of the equation with respect to \(\theta\).

Differentiating dsin( \(\theta\)) = m\(\lambda\) with respect to  \(\theta\):

d/d \(\theta\) (dsin( \(\theta\))) = d/d\(\theta\) (m\(\lambda\))

Using the chain rule, the derivative of dsin( \(\theta\)) with respect to  \(\theta\) is d(cos( \(\theta\))) = -dsin( \(\theta\)):

-dsin( \(\theta\)) = 0

Since m\(\lambda\) is a constant, its derivative with respect to  \(\theta\) is zero.

Therefore, the differentiation of dsin( \(\theta\)) = m\(\lambda\) is:

-dsin( \(\theta\)) = 0

Simplifying the equation, we have:

dsin( \(\theta\)) = 0

The dispersion, which represents the rate of change of the angle  \(\theta\) with respect to the wavelength \(\lambda\), is zero.

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Answer:

l = 194999.45

Step-by-step explanation:

I'm going to assume that you meant 3.14 by 3,14.

336,765 = 3.14 × 0.55 × (l + 0.55)

336,765 ÷ (3.14 × 0.55) = l + 0.55

(336,765 ÷ (3.14 × 0.55)) - 0.55 = l

l = 194999.45

Answer:

ggggg

Step-by-step explanation:

gfv

Answer:

quad then hex then oct then non

Step-by-step explanation:

The standard deviations that would meet a 5-sigma capability for Cpk are  0.005, 0.015, and 0.025. (Options A, B and C).

To determine which standard deviations would meet a 5-sigma capability for Cpk, we need to use the following formula:

Cpk = minimum((USL - mean) / 3sigma, (mean - LSL) / 3sigma)

where USL is the upper specification limit, LSL is the lower specification limit, mean is the process mean, and sigma is the process standard deviation.

For a 5-sigma capability, we want Cpk to be at least 2.0, so we can set up the following inequality:

2.0 <= minimum((USL - mean) / 3sigma, (mean - LSL) / 3sigma)

Assuming the process mean remains unchanged, and the specification limits are at ±3 sigma from the mean (which is a common assumption), we can simplify the inequality to:

2.0 <= 1/3sigma

which can be rearranged as:

sigma <= 1/6

Therefore, the standard deviation should be less than or equal to 0.1667 to achieve a 5-sigma capability.

Now we can check which of the given standard deviations meet this criterion:

a. 0.005: Yes, this is less than 0.1667.

b. 0.015: Yes, this is less than 0.1667.

c. 0.025: Yes, this is less than 0.1667.

d. 0.035: No, this is greater than 0.1667.

e. 0.045: No, this is greater than 0.1667.

f. 0.055: No, this is greater than 0.1667.

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Answer:

6x+12

Step-by-step explanation:

2(5x+3)-2(2x-3)

(10x+6)-(4x-6)

10x+6-4x+6

6x+12

Step-by-step explanation:

1.  2(5x + 3) - 2(2x - 3)

10x + 6 - 2(2x - 3)

2. 10x + 6- 2(2x - 3)

3. 10x + 6 - 4x + 6

10x + 12 - 4x

4. 10x + 12 - 4x

6x + 12

=========================================================

Explanation:

Line AE is a tangent while line AU is a secant. The angle formed by the secant and tangent lines connects with the arcs through this formula

secant tangent angle = (larger arc - smaller arc)/2

More specifically, we can say:

angle EAI = (arc EU - arc IE)/2

42 = ( (7m+5) - (3m-1) )/2

42*2 = (7m+5) - (3m-1)

84 = 7m+5 - 3m+1

84 = 4m+6

4m+6 = 84

4m = 84-6

4m = 78

m = 78/4

m = 39/2

m = 19.5

Use this value of m to compute each arc

Let's say arc IU is some unknown number x. It must add to the other two arc measures to form 360 degrees, which is a full circle.

(arc IU) + (arc IE) + (arc EU) = 360

x + 57.5 + 141.5 = 360

x + 199 = 360

x = 360-199

x = 161

The measure of minor arc IU is 161 degrees

Answer:

IU = 161

Step-by-step explanation:

Angle Formed by Two Secants=  1/2 (difference of Intercepted Arcs)

42 = 1/2 (7m+5 - (3m-1))

Distribute the minus sign

42 = 1/2 (7m+5 - 3m+1))

Combine like terms

42 = 1/2 ( 4m+6)

Distribute the 1/2

42 = 2m+3

Subtract 3 from each side

42-3 = 2m+3-3

39 = 2m

Divide by 2

19.5 = m

The sum of the arcs = 360

IU+ 3m-1 + 7m+5 = 360

IU +10m+4 = 360

IU +10(19.5) +4 = 360

IU +195+4 = 360

IU = 360 - 199

IU=161

Answer:

Step-by-step explanation:

3x<-9

x<-3

-4x+5<1

-4x<-4

x>1

Answer:

C should be right

Step-by-step explanation:

I hope this helps

1.  An increase in Real GDP would generally lead to an increase in the quantity of National Savings supplied.

2. In the long run, as productivity growth continues to occur, we would expect the equilibrium level of Real GDP (Y*) to increase.

3. The AD-AS model suggests that increasing autonomous demand for investment to maintain a constant price level in the face of productivity growth may not be effective in the long run.

4. Capital accumulation driven by increasing returns to scale can be a sustainable source of long-term growth in both GDP and GDP per capita.

1. The equation for National Savings (NS) includes components such as disposable income, taxes, and consumption.

As Real GDP increases, disposable income tends to increase as well, which can lead to higher savings. Additionally, as the economy experiences growth, individuals and businesses may have more resources available for savings, leading to an increase in the quantity of National Savings supplied.

2. This is because productivity growth leads to an increase in the potential output of the economy. As the AS curve shifts outward, the equilibrium level of Real GDP will increase, leading to higher output and economic growth.

The price level (P*) would generally remain stable or experience moderate inflation, as the increase in productivity allows the economy to produce more goods and services without significantly increasing the overall price level.

In the AD-AS figures, the long-term effect of productivity growth is represented by an outward shift of the AS curve. This shift reflects the increased productive capacity of the economy, resulting in higher equilibrium Real GDP and relatively stable prices.

3. This is because productivity growth increases the potential output of the economy, and attempting to maintain a constant price level by increasing investment demand would eventually lead to excess demand and inflationary pressures.

In this case, both the equilibrium price level (P*) and the equilibrium interest rates would likely rise, as the increased investment demand puts upward pressure on prices and borrowing costs.

4. Increasing returns to scale means that as the capital stock grows, the marginal product of capital increases, leading to higher output and productivity.

This positive feedback loop between capital accumulation and productivity growth can drive sustained economic growth over time. As the economy continues to accumulate capital, it can experience expanding production possibilities, higher levels of output, and increased GDP per capita.

However, it's important to note that sustaining long-term growth requires factors beyond capital accumulation alone. Other factors such as technological advancements, human capital development, institutional frameworks, and favorable economic policies also play crucial roles in supporting sustainable economic growth and improving living standards over time.

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Answer:

288.4m

Step-by-step explanation:

This track is split into a rectangle and two semi-circles.

We can find the length of the semi-circles by finding its circumference with the formula \(2\pi r\).

\(2\cdot3.14\cdot30\\188.4\)

However this is half a circle, so:

\(188.4\div2=94.2\).

There are two semi-circles.

\(94.2\cdot2=188.4\)

Since there are two legs of 50m each, we add 100 to 188.4

\(188.4+100=288.4\)m

Hope this helped!

Answer:

Step-by-step explanation:

To solve for the perimeter, we first look at the rectangle in the middle. the length is 50m, and there are two sides to it, so: 50 * 2 = 100m for the top and bottom of the track.

For the circle, we can see the diameter is 30m. To solve for the circumference, we need to use the formula 2πr.

15 * 2π ≈ 94.2477796077

We add that to 100m and get:

194.2477796077

Given:

Correct answer is

Final options are:

The first term should be positive.

She did not distribute the -4 properly.

Answer:

1/8

Step-by-step explanation:

I looked it up lol

Answer:

1/8

Step-by-step explanation:

2^-3

= 1/2^3 ( The reciprocal of the negative exponent is positive).

= 1/8