calculate n if mean 30n,12,40 and 10 is n​

If the speed and the charge of a particle moving across a magnetic field are each doubled, the deflecting force will be:

d. The deflecting force will be quadrupled.

The deflecting force experienced by a charged particle moving across a magnetic field is given by the equation F = qvBsinθ, where F is the deflecting force, q is the charge of the particle, v is its velocity, B is the magnetic field strength, and θ is the angle between the velocity vector and the magnetic field vector.

If both the speed (v) and charge (q) of the particle are doubled, the deflecting force (F) can be calculated by substituting the new values into the equation:

F' = (2q)(2v)Bsinθ = 4(qvBsinθ) = 4F

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To find the points on the curve where the tangent line has the largest slope, we need to determine the critical points of the curve, which are the points where the derivative of the function is equal to zero or undefined. The largest slope corresponds to the steepest tangent line on the curve.

To find the largest slope, we need to find the maximum or minimum value of the derivative. This can be done by evaluating the derivative of the curve and finding its critical points. The critical points where the derivative is equal to zero or undefined represent the points on the curve where the tangent line has the largest slope.

By analyzing the critical points and evaluating the derivative, we can determine the specific points on the curve where the tangent line has the largest slope and calculate the corresponding value of the largest slope.

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The value of (f-g)x is x²-2x+2. Therefore, option C is the correct answer.

The given functions are f(x)=x²+1 and g(x)=2x-1.

Functions are the fundamental part of the calculus in mathematics. The functions are the special types of relations. A function in math is visualized as a rule, which gives a unique output for every input x.

We need to find the value of (f-g)(x).

Now, f(x)-g(x)= (f-g)(x)

=x²+1 -(2x-1)

=x²+1-2x+1

=x²-2x+2

The value of (f-g)x is x²-2x+2. Therefore, option C is the correct answer.

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The required if we have 7 liters of gas, we could fill 0.7 cans, which includes a fraction of a can.

A fraction is a mathematical vision that can be used to describe a portion of a whole or a numeral that can be written as the ratio of two integers. In a fraction, the top number is guided to as the numerator, while the bottom number is referred to as the denominator.

If each gas can holds 10 liters of gas, then 7 liters of gas can fill 7 / 10 = 0.7 cans.

So, if we have 7 liters of gas, we could fill 0.7 cans, which includes a fraction of a can. Note that in practice, we cannot fill a fraction of a can, so we would round down to the nearest whole number, which would be 0 cans filled.

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Answer:

b) 27

Step-by-step explanation:

sum of angles in triangle = 180

a + 63 + 90 = 180

a = 27

Answer:

27 degrees

Step-by-step explanation:

since angle B is 68 and you know that angle c is a right angle it is 90. so yhu take 90 and 63 and add them together and subtract that number from 180 and you find angle A

Answer:

Point T

Step-by-step explanation:

Answer:

False

Step-by-step explanation:

4/8 equals to 1/2 but 6/10 equals to 3/5. Correct would be if it was 5/10

Answer:

Fractions Proportion Scale from 0 to 1 in increments of 16ths, 15ths, 14ths, 13ths, 12ths, 11ths, 10ths, 9ths, 8ths, 7ths, 6ths, 5ths, 4ths, thirds and halves.

Step-by-step explanation:

Answer:

it's closer to 0 cause it's 5/9 smaller then 1 while only 4/9 bigger to 0

by Serial killer....

The probability to get a 3 or 4 in the third toss and 6 in the fourth toss is 1/18.

The sample space for a six-sided die is

{1, 2, 3, 4, 5, 6}

Hence the total number of possibilities = 6

The rolling of a die is IID that is Independently and Identically distributed.

Hence,

the result of one toss will not affect the result of the successive tosses.

Probability

= n(E)/n

= no of favorable outcomes for any event /total no. of outcomes

Here,

n = 6

Let A be the event of getting a 3 or 4 in the third toss

Let B be the event of getting 6 on the fourth toss

E(A) = {3,4}

n(A) = 2

Hence,

P(A) = 2/6

= 1/3

B = {6}

n(B) = 1

P(B) = 1/6

Since these are IID,

P(A and B) = P(A) X (B) [Property of independent events]

Hence P(A∩B) = 1/3 X 1/6

= 1/18

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Answer:

the interest gathered on the loan is $250

Step-by-step explanation:

5% interest on $5,000 for one year would be $250

the total amount wlike be $5250 but the question seems to only ask for the interest

convert 5% to a decimal to multiply to find interest

0.05•5000 gives us the interest for the year

hope this helps <3

Answer:

lâp bảng  

Step-by-step explanation:

X=0 thì xác suất lấy ra được sản phẩm tốt là 5*30%=1,5%

X =1 thì xác suất lấy ra được là 1* 70%*4*30%=0,84%

X=2 thì xác suất lấy ra được sản phẩm tốt là 2*70%*3*30%=1,26%

X=3 thì xác suất lấy ra được sản phẩm tốt là 3*70%*2*30%=1,26%

X=4 thì xác suất lấy ra được sản phẩm tốt là 4*70%*1*30%=0,84%

X=5 thì xác suất lấy ra được sản phẩm tốt là 5*70%=3,5%

X 0 1 2 3 4 5

P 1,5 0,84 1,26 1,26 0,84 3,5

b,

E(x)= 1,5*0+ 0,84*1+1,26*2+1,26*3+0,84*4+3,5*5=28

E(x^2)=1,5*0^2+0,84*1^2+1,26*2^2+1,26*3^2+0,84*4^2+3,5*5^2=118,16

===> V(x)= (E(x))^2-E(x^2)=28^2-118,16=665,84

Answer:

0.89,1.009,1.017,1.02,1.1

The number that shows seventy-three hundredths in standard form will be 0.73.

In conclusion, the correct option is 0.73.

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The expected value of the "Buy New" option is 724732.60.

Decision Tree:

To solve the given problem, the first step is to create a decision tree. The decision tree for the given problem is shown below:

Expected Value Calculation: The expected value of the "Buy New" option can be calculated using the following formula:

Expected Value = (Prob. of Prosperity * Payoff for Prosperity) + (Prob. of Recession * Payoff for Recession)

Substituting the given values in the above formula, we get:

Expected Value for "Buy New" = (0.7 * 1,035,332) + (0.3 * -150,000)Expected Value for "Buy New" = 724,732.60

Therefore, the expected value of the "Buy New" option is 724,732.60.

Conclusion:

To conclude, the decision tree is an effective tool used in decision making, especially when the consequences of different decisions are unclear. It helps individuals understand the costs and benefits of different choices and decide the best possible action based on their preferences and probabilities.

The expected value of the "Buy New" option is 724,732.60.

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Answer:

Domain(x): -2,2,3

Range(y): -1,4,5,6

(I put them in order numerically)

Step-by-step explanation:

The Domain is all the x values of the points given. It's always the first number of a point.

The range is the y values, it's always the second number given in a ordered pair!

Hope this helps! :)

The radius of the new parking area is 82 meters

The radius of the old parking area is given as

Radius, R = 123 meters

From the question, we understand that:

The parking area must be temporarily reduced to 1/3 of its original area

This means that

New Radius = Old radius - Old radius * 1/3

So, we have

New Radius = 123 meters - 123 meters * 1/3

Evaluate the product

So, we have

New Radius = 123 meters - 41 meters

Evaluate the difference

New Radius = 82 meters

Hence, the radius of the new parking area is 82 meters

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Answer:

Question 56 is C.
Question 57 is A.

Step-by-step explanation:

For the first question, notice how PQSR is a square (despite not looking like one). This mean RS is also 6 (all sides of a square is equal) and ST is 6 as well (12-6). Now we can find the area of the square and the triangle: 6*6 = 36 cm^2 and (6*6)/2 = 18 cm^2. Then, we can add the two areas together, which is 36 cm^2 + 18 cm^2 = 54 cm^2.

For the second question, we have two approaches: A) Enclose the shape then subtract additional area, or B) Separate the shape into three shapes and find them respectively. I am going to show you the first method. Imagine that this entire shape is an rectangle with the dimensions 7cm x 12cm (3+6+3). The enclosed area will be 84 cm^2. Then, we have to subtract the 5cm x 6cm rectangle from the 84 cm^2, because that's an additional area that does not exist. The final answer will be 84 cm^2 - 30 cm^2 = 54 cm^2.

After 9 hours, the population of the bacteria will be twice the initial population, it means:

After other 9 hours, the population will be two times 20000, it means:

According to this, after 18 hours the population of the bacteria will be 40000.

Answer:

Rational because it isn't a repeating decimal

Step-by-step explanation:

The probability density function (pdf) of the largest of the five waiting times is given by: f(x) = 4/10^5 * x^4, where x is a real number between 0 and 10. The expected value of the largest of the five waiting times is 8.33 minutes.

The pdf of the largest of the five waiting times can be found by considering the order statistics of the waiting times. The order statistics are the values of the waiting times sorted from smallest to largest.

In this case, the order statistics are X1, X2, X3, X4, and X5. The largest of the five waiting times is X5.

The pdf of X5 can be found by considering the cumulative distribution function (cdf) of X5. The cdf of X5 is given by: F(x) = (x/10)^5

where x is a real number between 0 and 10. The pdf of X5 can be found by differentiating the cdf of X5. This gives: f(x) = 4/10^5 * x^4

The expected value of X5 can be found by integrating the pdf of X5 from 0 to 10. This gives: E[X5] = ∫_0^10 4/10^5 * x^4 dx = 8.33

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After 4 hours of discharging, the volume left in the tank would be 500 liters. The correct option is C.

Initially, the tank has a water capacity of 1500 liters.

After three hours of discharging, half of the water is discharged, which means 1500/2 = 750 liters have been removed from the tank.

To find the volume left after 4 hours of discharging, we need to subtract the additional amount discharged in the fourth hour.

Since the discharge rate remains the same, we can calculate the amount discharged in one hour as 750/3 = 250 liters.

Therefore, in the fourth hour, 250 liters would be discharged. Subtracting this from the remaining water after three hours (750 liters), we get 750 - 250 = 500 liters.

Therefore, the correct answer is c. 500 liters.

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Answer:

last one

Step-by-step explanation:

the domain includes all real numbers and the range is y>0

A sample size of 329 would be required to be 99% confident that the estimated proportion of women-owned businesses not providing employee benefits is within 6 percentage points of the true population proportion.

To calculate the required sample size, we can use the formula:

n = (\(z^2\) * p * q) /\(e^2\)

where n is the sample size, z is the z-score corresponding to the desired level of confidence (in this case, 2.576 for 99% confidence), p is the estimated population proportion (0.165, based on the NWBC's finding), q is 1-p, and e is the maximum error we want to tolerate (in this case, 0.06 or 6 percentage points).

Substituting the values, we get:

n = (2.576^2 * 0.165 * 0.835) / \(0.06^2\)

Solving for n, we get:

n ≈ 329

Therefore, a sample size of 329 would be required to be 99% confident that the estimated proportion of women-owned businesses not providing employee benefits is within 6 percentage points of the true population proportion. Note that this assumes a simple random sample and that the population size is much larger than the sample size, so the finite population correction is not needed.

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The mean (µ) and standard deviation (σ) of the binomial distribution with n=202 and p=0.44 are 88.88 and 7.8959, respectively. The probability of obtaining x=53 is approximately 0.0561, and the z-score for x=37 is -6.55.

To find the mean (µ) and standard deviation (σ) of the binomial distribution, we use the formulas µ = np and σ = sqrt(np(1-p)), where n is the number of trials and p is the probability of success.

Given n = 202 and p = 0.44, we can calculate the mean and standard deviation as follows:

µ = 202 * 0.44 = 88.88 (rounded to 2 decimal places)

σ = sqrt(202 * 0.44 * (1 - 0.44)) = 7.8959 (rounded to 4 decimal places)

Now, let's suppose we want to find the probability of obtaining a specific value of x, let's say x = 53. We can use the formula for the binomial probability:

\(P(x) = C(n, x) * p^x * (1 - p)^{n - x}\)

Substituting the values, we have:

\(P(53) = C(202, 53) * (0.44)^{53} * (1 - 0.44)^{202 - 53}\)

Using a binomial calculator or software, we can find the probability as approximately 0.0561 (rounded to 4 decimal places).

Finally, if we want to calculate the z-score for a given value of x, we can use the formula:

z = (x - µ) / σ

For x = 37, the z-score would be (37 - 88.88) / 7.8959 = -6.55 (rounded to 2 decimal places).

In conclusion, for a binomial distribution with n = 202 and p = 0.44, the mean is 88.88 and the standard deviation is 7.8959. The probability of obtaining x = 53 is approximately 0.0561. The z-score for x = 37 is -6.55.

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The probability that now the number of sold will not deviate more than 1 standard deviation from the average is 0.74.

The given data is

x 1 2 3 4 5 6 7 8

p(x) 0.04 0.10 0.13 0.30 0.31 0.10 0.01 0.01

(a) calculate mean value of x:

μ = E(x)

  = ∑(xi.P(xi))

 = 4.13

(b)  calculate variance of x:

σ² = ∑(xi - E(x))².P(xi)

   = 1.81331

(c)  calculate standard deviation of x:

σ = √σ²

σ = √1.831

σ = 1.3539

The likelihood that the quantity of systems sold will be within one standard deviation of the its mean:

P(μ  - σ < x < μ  + σ ) = P(4.13 - 13539 < x < 4.13 + 1.3539)

                                = P(2.7761 < x < 5.4839)

                                = P(x = 3) + P(x = 4) + P(x = 5)

                                = 0.13 + 0.30 + 0.31

                                = 0.74

Thus, the probability that now the number of sold will not deviate more than 1 standard deviation from the average is 0.74.

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The complete question is-

Suppose that for a given computer salesperson, the probability distribution of x = the number of systems sold in one month is given by the following table.

x 1 2 3 4 5 6 7 8

p(x) 0.04 0.10 0.13 0.30 0.31 0.10 0.01 0.01

What is the probability that the number of systems sold is within 1 standard deviation of its mean value?

The correct answer is "the less probable that our results are due to chance alone."

In statistics, t-value measures the difference between the mean of two groups and the variation within the groups. A larger t-value indicates that the means of the two groups are further apart and less likely to have occurred due to chance. Therefore, the larger the value of the obtained t, the less probable that our results are due to chance alone.

what is statistics?

Statistics is the branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of data. It involves methods for collecting, organizing, summarizing, analyzing, and interpreting data in order to make decisions or draw conclusions about a population or a sample of data. Statistics is widely used in various fields such as business, economics, social sciences, medicine, engineering, and more, to help understand and solve problems through data analysis.

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Answer:

b). (0, 4)

if you need an explanation, comment, and I will put one in for you :)

Answer:

concave polygones

Step-by-step explanation:

Step is the same when constructing an inscribed regular hexagon and an inscribed equilateral triangle is shown below:

Geometric construction is the process of drawing a geometrical figure using two geometrical instruments, a compass, and a ruler.

Construction of an inscribed regular hexagon

1) Set compass width to the radius of the circle

2) Make an arc on the circle with the set radius.

3) From the previous arc draw another arc with the same radius.

4) Continue this process for the other vertex.

5) Connect all the vertices.

Construction of an inscribed equilateral triangle

1) Set compass width to the radius of the circle

2) Make an arc on the circle with the set radius.

3)From the previous arc draw another arc with the same radius.

4)Continue this process for the other vertex.

5) Connect the every other vertices point by drawing  a line between every other adjacent vertex point to form an inscribed equilateral triangle.

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The appropriate hypothesis test for this scenario is a Goodness of Fit test.

A Goodness of Fit test is used to determine whether an observed frequency distribution fits a theoretical distribution or expected frequency distribution. In this case, we have a theoretical distribution of the US resident population by region in 2000, and we want to determine whether the observed frequency distribution from the sample fits this distribution.

The null hypothesis for this test is that the observed frequency distribution from the sample is not significantly different from the theoretical frequency distribution of the US resident population by region in 2000. The alternative hypothesis is that the observed frequency distribution is significantly different from the theoretical frequency distribution.

We can use a chi-squared test for goodness of fit to test this hypothesis.

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