Solve the equation −6 +x/4 = −5
Pls help

Answer:

x = 13

Step-by-step explanation:

Using Pythagoras' identity in the right triangle.

The square on the hypotenuse is equal to the sum of the squares on the other 2 sides, that is

x² = 5² + 12² = 25 + 144 = 169 ( take the square root of both sides )

x = [tex]\sqrt{169}[/tex] = 13

Answer:

$1.25 is NOT 12.5% dollars. It is 125% of a dollar.

Step-by-step explanation:

We have 1 and 1/4 dollars. 1 and 1/4 as a percentage is 125%

The volume of a cone with diameter 18 cm and height 15 cm is b. V = 1272.3 cm^(3).

To calculate the volume of a cone, we use the formula:

V = (1/3) * π * r^2 * h

where V is the volume, π is the mathematical constant approximately equal to 3.14159, r is the radius of the cone's base, and h is the height of the cone.

Given that the diameter of the cone is 18 cm, we can calculate the radius by dividing the diameter by 2:

r = 18 cm / 2 = 9 cm

Substituting the values into the volume formula:

V = (1/3) * π * 9^2 * 15

Calculating:

V ≈ 1272.3 cm^3

Therefore, the volume of the cone is approximately 1272.3 cm^3.

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Answer:

1.41 kilograms

Step-by-step explanation:

Given data

290-gram bag of gummy worms

450-gram bag of sour keys

670-gram bag of chocolate-covered almonds

In all, she bought

=290+450+670

=1410grams of candy

Now let us convert from grams to kilograms

1000grams is equal to 1 kilogram

hence 1410 grams  will be x

cross multiply

1000x= 1410

x= 1410/1000

x= 1.41 kilograms

The return period of a hazardous wind can be calculated by finding the inverse of its cumulative distribution function (CDF) at a certain threshold value.

a) To determine the return period of a hazardous wind, we need to find the threshold wind speed that corresponds to a specific return period. Since the wind speed follows a lognormal distribution with a known median and coefficient of variation, we can calculate the corresponding quantile using the inverse of the lognormal CDF.

b) The probability of more than 3 hazardous events in the total happening within a year can be calculated using the Poisson distribution. We sum the probabilities of having 4, 5, 6, and so on hazardous events in a year.

c) The probability of no hazardous events happening within 5 years can also be calculated using the Poisson distribution. We calculate the probability of zero hazardous events in one year and then raise it to the power of 5.

d) To estimate the mean and standard deviation of expected annual monetary losses, we multiply the mean number of hazardous events for each type by the cost per event. Since the three hazardous events occur independently, we can sum the expected losses for each type.

The standard deviation of the expected losses can be calculated using the properties of independent random variables. By calculating the mean and standard deviation of expected annual monetary losses, the municipality can have an idea of the budget allocation required to mitigate the impact of natural hazards in Izmir.

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Answer:

do i need to answer them for me or just basically?

1. This is NOT a statistical question since you don't need data or mathematical data, or collection of nothing to come to a conclusion because it's a question for any person in the world and we know it's Donald Trump; we don't need math, collection of data or analysis to know this.

2. This is a statistical question because you need to use math to know this; you need to collect a lot of cupcakes, describe their types and size, you need to analyze and count how many you can eat, and see the results or side effects,  you might even have to do this more than one so you can gather all your quantitative to come to a conclusion.

3. This is NOT a statistical question. This is a yes or no question where you can ask anyone in your family if they speak another language, this doesn't require math or gathered data to come to a conclusion; the question would be statistical if it was, "How many people in your family speak another language COMPARED to the other people in your family? This would be an example of a statistical question given this scenario.

a) If Kristin has traveled 4 meters along the path of the Ferris wheel then the angle has swept out 0.5 radians.

b) If Kristin has traveled 45 meters along the path of the Ferris wheel then the angle has swept out 5.625 radians.

c) The formula that expresses the number of radians θ the angle has swept out in terms of the number of meters is θ = s / r.

a. To determine the angle in radians, we can use the arc length formula for a circle. The formula is given by θ = s / r, where θ is the angle in radians, s is the arc length, and r is the radius of the circle.

In this case, Kristin has traveled 4 meters along the path of the Ferris wheel, and the radius is 8 meters.

Thus, the angle swept out is

θ = 4 / 8 = 0.5 radians.

b. Following the same approach, if Kristin has traveled 45 meters along the path of the Ferris wheel, the angle swept out is

θ = 45 / 8 ≈ 5.625 radians.

c. The formula that expresses the number of radians θ the angle has swept out in terms of the number of meters Kristin has traveled since the ride started is given by

θ = s / r,

where θ is the angle in radians, s is the arc length traveled by Kristin, and r is the radius of the Ferris wheel.

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Answer:

I think it is 2/12

Answer:

-8.875

Step-by-step explanation:

8 7/8 > -71/8 > -8.875

Answer:

Step-by-step explanation:

X-intercept: y=0:

6x +2×0 = 12

6x = 12

 x = 2          

Y-intercept: x=0:

6×0 + 2y = 12

2y = 12

 y = 6      

The probability that a plant produces between 15 and 19 strawberries is given as follows:

47.5%.

The two parameters that are needed to calculate a probability are listed as follows:

Then the probability is then calculated as the division of the number of desired outcomes by the number of total outcomes.

The desired areas for this problem are given as follows:

Hence the probability is given as follows:

34 + 13.5 = 47.5%.

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decimal = 0.26

percent = 26%

Answer:

x = 18

Step-by-step explanation:

∠ GFH and ∠ EFH form a right angle GFE , then

2x + 3x = 90 ← equation for the angle

5x = 90 ( divide both sides by 5 )

x = 18

It should be noted that the probability of obtaining a sample mean of 39.1 hours or less is quite low (0.035), it can be considered unusually short.

The mean of the sampling distribution of the sample mean, μ, is equal to the population mean, which is μ = 40 hours.

The standard deviation of the sampling distribution is σ(μ) = 5 / √100

= 5 / 10

= 0.5 hours.

Plugging in the values, we get (40.6 - 40) / 0.5

= 0.6 / 0.5

= 1.2.

Looking up the z-score of 1.2 in the standard normal distribution table (or using a calculator), we find that the probability is approximately 0.884.

Now, let's calculate P(≤39.1). Similarly, we calculate the z-score as (x - μ) / σ(μ), where x = 39.1 hours. Plugging in the values, we get (39.1 - 40) / 0.5

= -0.9 / 0.5

= -1.8.

Using the z-score table or a calculator, we find that the probability is approximately 0.035.

This probability represents the area under the curve to the left of -1.8, which is a left-tailed probability.

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A linear function is a mathematical function that can be represented by a straight line when graphed on a Cartesian coordinate system. It is also known as a first-degree polynomial because the highest exponent of the variable is 1. The general form of a linear function is: f(x) = mx + b

To find a linear function given two points on the line, you need to use the point-slope formula.

The formula is `y - y1 = m(x - x1)`, where `(x1, y1)` is a point on the line and `m` is the slope of the line.

Given that f(0) = 8 and f(7) = 14, we can find the slope of the line:$$\frac{f(7) - f(0)}{7 - 0} = \frac{14 - 8}{7} = \frac{6}{7}$$Now, we can use the point-slope formula with the point `(0, 8)` and the slope `6/7`:$$y - 8 = \frac{6}{7}(x - 0)$$

Simplifying this equation, we get:$$y - 8 = \frac{6}{7}x$$$$y = \frac{6}{7}x + 8$$

Therefore, the linear function with `f(0) = 8` and `f(7) = 14` is `y = (6/7)x + 8`.

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A linear function, y = f(x) that has f(0) = 8 and f(7) = 14 is given by: f(x) = mx + b, Where m represents the slope of the line and b represents the y-intercept. The equation of the linear function is: y = f(x) = (6/7)x + 8.

To find the slope of the line, we use the formula:

m = (y₂ - y₁) / (x₂ - x₁), where (x₁, y₁) = (0, 8) and (x₂, y₂) = (7, 14).

Substituting into the formula:

m = (14 - 8) / (7 - 0)

m = 6 / 7

Therefore, the equation of the line is given by: f(x) = (6/7)x + b.

To find the value of b, we use the fact that f(0) = 8.

Substituting into the equation, we get: 8 = (6/7)(0) + b.

Simplifying, we get: b = 8.

Therefore, the equation of the linear function is: y = f(x) = (6/7)x + 8.

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Answer:

FV= 676

Step-by-step explanation:

Giving the following formula:

Present value (PV)= 990 parents

Decrease rate (d)= 10% = 0.1 per year

Number of periods (n)= 4

To calculate the future value of votes, we need to use the following formula:

FV= PV / (1 + d)^n

FV= 990 / (1.1^4)

FV= 676

The body's position at time t is given by the equation s(t) = [tex]4.9t^2 + 15t + 20[/tex].

To find the body's position at time t,

we need to integrate the velocity function with respect to time and apply the initial condition.

Given:

v = 9.8t + 15

s(0) = 20

First, integrate the velocity function with respect to time to obtain the position function:

∫v dt = ∫(9.8t + 15) dt

s(t) = [tex]4.9t^2 + 15t + C[/tex]

Next, we apply the initial condition s(0) = 20 to determine the value of the constant C:

s(0) =[tex]4.9(0)^2 + 15(0) + C[/tex]

20 = C

Now, we have the complete position function:

s(t) =[tex]4.9t^2 + 15t + 20[/tex]

In conclusion, To find the position of the body at time t,

we integrated the velocity function with respect to time,

applied the initial condition to determine the constant,

and obtained the position function s(t) = [tex]4.9t^2 + 15t + 20[/tex].

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Answer:

12

Step-by-step explanation:

List out the factors of each

36: 1,2,3,4,6,9,12,18,36

60: 1,2,3,4,5,6,10,12,15,20,30,60

the highest number they both have in common is 12

Plot direction fields and trajectories. Analyze eigenvalues to determine stability and type of critical point.

For system (a):

The direction field and trajectories should be plotted based on the given matrix:

[3 5] [x]

[3 -2] * [y]

To determine the type and stability of the origin as a critical point, we can analyze the eigenvalues of the matrix. The eigenvalues are found by solving the characteristic equation:

det(A - λI) = 0,

where A is the given matrix and λ is the eigenvalue.

For system (b):

The direction field and trajectories should be plotted based on the given matrix:

[1 -5] [x]

[4 1] * [y]

To determine the type and stability of the origin as a critical point, we can again analyze the eigenvalues of the matrix.

For system (c):

The direction field and trajectories should be plotted based on the given matrix:

[-6 3] [x]

[ -4 -2] * [y]

To determine the type and stability of the origin as a critical point, we once again analyze the eigenvalues of the matrix.

Analyzing the eigenvalues will allow us to determine if the critical point is a stable node, unstable node, saddle point, or any other type of critical point.

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Answer:

Thats so hard oh my gosh!

Step-by-step explanation:

Answer:4 degrees

Step-by-step explanation:

Answer:

D

Step-by-step explanation:

Just graph the equation and where they intercept is the solution.

Just use desmos graphing calculator if you don't know how to graph.

Answer: D

Step-by-step explanation:

She uses a sample size of n=200, and 50%  of all customers would actually buy coffee.

The change that would result in the highest power for her test is D. increase the significance level to α = 0.01 and use a sample size of n = 300.

The significance level simply means the probability of rejecting the null hypothesis when it is true.

It should be noted that the power of the test depends on 4 factors which are the sample size, standard deviation, effect size, and significance level.

In the given scenario, the larger sample size will increase the power of the test and a higher significance level will result in a higher power.

Therefore, the test is done with the largest sample size and highest significance level of 0.10

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Yes,  there is evidence at a 5% level of significance to support the claim that the average lifespan for fluorescent lights is not 1600 hours.

Null hypothesis: is defined as the average lifespan for fluorescent lights is 1600 hours.

Alternative hypothesis : is defined as  average lifespan for fluorescent lights is not 1600 hours.

Sample size (n) = 100

Sample mean = 1580 hours

Sample standard deviation (s) = 100 hour

t = (Sample mean - μ) / (s / √n)

μ =  hypothesized population mean

s=  sample standard deviation

t = (1580 - 1600) / (100 / √100)

t = -20 / (100 / 10)

t = -20 / 10

t = -2

The significance level of 0.05 will be divided by 2 to get an alpha level of 0.025.

We make use of a  t-distribution table to look up the critical t-value in the with degrees of freedom equal to n-1 = 99.

The critical t-value is  1.984 for a significance level of 0.025 and degrees of freedom = 99.

In conclusion,  we have evidence to reject the null hypothesis because the absolute value of the test statistic is greater than the critical t-value.

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Answer:-4

Step-by-step explanation: