the number of customers served per day by a large department store is normally distributed, with a mean of 3,250 customers and a standard deviation of 320. find the range of customers served on the middle 50 percent of days.

Answer:

620

Explanation:

When the sample is given, the number of elk are likely to be infected is to be considered as the 620.

Calculation of the number of elk:

Since the population is 7,750.

The random sample is 50.

So here be like

= 620

hence, When the sample is given, the number of elk are likely to be infected is to be considered as the 620.

The probability of getting two different colors of marble from a bag when marble is taken at random from the bag, the color is noted, and then it is replaced.

The probability is the ratio of the number of favorable occurrences to the total number of occurrences of the event.

P(e) = n(e)/n(s)

n(e) is the number of favorable occurrences of an event and n(s) is the total number of occurrences of the event.

It is given that, there is a bag filled with 2 blue, 4 red, and 3 green marbles.

So, there are a total of 2 + 4 + 3 = 9 marbles in the bag.

Since the first marble is taken out from the bag and is again replaced but it is noted, the probability of taking the first marble and the probability of taking the second marble are independent events.

Then, the probability of taking the first blue-colored marble is

P(b1) = 2/9

So, the probability for the second marble is also blue is

P(b2) = 1/8 (since the first one was noted)

Then, the probability of getting two blue color marbles is

P(b1 ∩ b2) = P(B) = 2/9 × 1/8 = 1/36 (since they are independent events)

Similarly, the red and green marbles probabilities are:

P(r1) = 4/9; P(r2) = 3/8; P(r1 ∩ r2) = P(R) = 4/9 × 3/8 = 1/6

P(g1) = 3/9; P(g2) = 2/8; P(g1 ∩ g2) = P(G) = 3/9 × 2/8 = 1/12

Thus, the probability of getting two same-colored marbles (only blue or red, or green) is

P(S) = P(B) + P(R) + P(G)

      = 1/36 + 1/6 + 1/12

      = 5/18

Therefore, the probability of getting two different colored marbles is

\(\overline {P(S)}\) = 1 - P(S) = 1 - 5/18 = 13/18.

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This problem can be solved using the analytical one-term approximation method, but without specific details of the problem, it is not possible to provide a solution here.

As for whether this problem can be solved using lumped system analysis, it depends on the conditions of the problem. If the Biot number (Bi) is much smaller than 1 (Bi << 1), then lumped system analysis can be applied.

Otherwise, it might not be accurate to use the lumped system analysis, and you should rely on the analytical one-term approximation method or other numerical methods.

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Answer:

1. 20 boxes cost $36. The unit rate is 1:1.8 and when you multiply 1.8 by 5 you get 9. If you also multiply 1.8 by 20 you get 36.

2.He completes 12.5 pages in 200 minutes.

200 divided by 32

multiply that answer by 2

which is 12.5.

hope it helps!

Answer:

the first answer is $36 and I'm pretty sure the second one is 64 pages

Answer:

it is 4 i just did it

Step-by-step explanation:

Answer:

Four

Step-by-step explanation:

4

Yes, when dealing with a multi-value attribute with a variable number of values that need to be processed independently.

Yes, when dealing with a multi-value attribute with a variable number of values that need to be processed independently, it is recommended to consider creating a new dependent entity to represent the values. This can help to simplify the design and make it easier to manage and maintain. The new entity can be linked to the original entity through a relationship, allowing each value to be processed independently while still maintaining the integrity of the data. Overall, this approach can improve the efficiency and effectiveness of the system, making it easier to work with and providing better results for the end user.

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the formula for the distance between Mary and Bob at time t seconds after Mary starts moving is:

D(t) = √[( (-1 - (9/4)√2)t )² + ( (5 - (5/2)√2)t )²]

To find the distance between Mary and Bob at time t seconds after Mary starts moving, we can break down the problem into two parts: the distance covered by Mary and the distance covered by Bob.

Let's consider the distance covered by Mary first. We are given that Mary reaches the point (2,3) after 4 seconds and continues moving. We can represent Mary's position at time t seconds after she starts moving with the equation:

Mary's position: (x_m(t), y_m(t))

To find the equation for Mary's position, we need to determine the velocity components for Mary. We know that Mary travels from (-1,5) to (2,3) in 4 seconds, so the velocity components are:

Velocity in the x-direction: (2 - (-1)) / 4 = 3/4

Velocity in the y-direction: (3 - 5) / 4 = -1/2

Now, we can write the equations for Mary's position as functions of time:

x_m(t) = (-1) + (3/4)t

y_m(t) = 5 + (-1/2)t

Next, let's consider the distance covered by Bob. Bob starts at the origin (0,0) and moves towards the point (6,6) at a speed of 3√2 units/sec. We can represent Bob's position at time t seconds after Mary starts moving with the equation:

Bob's position: (x_b(t), y_b(t))

Since Bob moves at a constant speed towards (6,6), his position can be expressed using a linear equation:

x_b(t) = (3√2)t

y_b(t) = (3√2)t

Now, to find the distance between Mary and Bob at time t seconds, we can use the distance formula:

Distance between Mary and Bob: D(t) = √[(x_m(t) - x_b(t))² + (y_m(t) - y_b(t))²]

Plugging in the equations for Mary's and Bob's positions:

D(t) = √[(x_m(t) - (3√2)t)² + (y_m(t) - (3√2)t)²]

Simplifying and combining like terms:

D(t) = √[( (-1) + (3/4)t - (3√2)t )² + ( 5 + (-1/2)t - (3√2)t )²]

D(t) = √[( (-1 - (9/4)√2)t )² + ( (5 - (5/2)√2)t )²]

Therefore, the formula for the distance between Mary and Bob at time t seconds after Mary starts moving is:

D(t) = √[( (-1 - (9/4)√2)t )² + ( (5 - (5/2)√2)t )²]

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Answer:

Your brother can buy anywhere from 1 to 6 baseball cards depending on how rare they are!

The total variance of the portfolio is 0.11644, which is equal to option b-To 0.12 when rounded to two decimal places.

To calculate the total variance of a portfolio, we need to consider the variances of individual assets as well as the covariance between them. Given the correlation coefficient (ρ) of -0.8, we can calculate the covariance (σAB) using the formula:

σAB = ρ * σA * σB

σA = 0.5 (standard deviation of Asset A)

σB = 0.7 (standard deviation of Asset B)

ρ = -0.8 (correlation coefficient)

σAB = -0.8 * 0.5 * 0.7 = -0.28

The total variance (σp²) of the portfolio is calculated as follows:

σp² = w₁² * σ₁² + w₂² * σ₂² + 2 * w₁ * w₂ * σAB

w₁ = 1/3 (weight of Asset A)

w₂ = 2/3 (weight of Asset B)

σp² = (1/3)² * 0.5² + (2/3)² * 0.7² + 2 * (1/3) * (2/3) * (-0.28)

= 0.01444 + 0.22644 - 0.12444

= 0.11644

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Answer:

y = -2/1x+8

Step-by-step explanation:

slope is -2/1

intercepts y at 8

Answer:

176 leaps

Step-by-step explanation:

5280 feet in a mile, do 5280 divided by 30 to get 176

176 leaps :)

Answer:

176

Step-by-step explanation:

5280 feet is in 1 mile. if you divide that by 30 you get 176. resulting in it will take it 176 leaps to make a mile

2 positive unit tiles are needed to complete the factorization.

Given

The partial factorization of x^2 – 3x – 10 is modeled with algebra tiles.

Partial fractions are the fractions used for the decomposition of a rational expression.

When an algebraic expression is split into a sum of two or more rational expressions, then each part is called a partial fraction.

In the second line, we can see that first term 1 is labeled + x squared, second is labeled + 2x (two positive tiles above), then the 5 tiles below + x squared are labeled negative x, and the 10 tiles below the + x tiles are labeled negative.

The negative values are represented as tiles labeled below (negative tiles) while positive values are tiles labeled above (positive tiles).

Therefore,

The factorization is;

\(\rm x^2-3x-10=0\\\\x^2+2x-5x-10=0\\\\x(x+2)-5(x+2)=0\\\\(x+2)(x-5)=0\)

Hence, 2 positive unit tiles are needed to complete the factorization.

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Answer: x=9

Step-by-step explanation:

24/36=6/x

24/36=2/3

2*3=6

3*3=9

Answer:

x= 12

Step-by-step explanation:

Both of the following statements are true about confidence intervals: Small samples produce large confidence intervals. Large samples produce small confidence intervals.

Confidence intervals are statistical estimations used in hypothesis testing. They are calculated from a random sample taken from a population, and they help to measure the accuracy and variability of the population parameter being tested.

The confidence interval is calculated by using a sample mean and a margin of error. In general, the larger the sample size, the smaller the margin of error and the narrower the confidence interval. The confidence interval is larger if the sample size is small, indicating that the sample mean is less likely to accurately represent the population parameter.

Small samples will produce larger confidence intervals because of greater uncertainty in the sample estimates. In contrast, larger samples will produce smaller confidence intervals because they provide more accurate estimates of the population parameter.

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The proportionality constant between half-life and inverse rate constant affects the slope of a plot of ln(t1/2) vs. 1/t. Half-life is the amount of time it takes for half of the initial quantity of a substance to decay or react to form a product.

The rate constant is the proportionality constant in the rate law equation that relates the rate of the reaction to the concentration of reactants raised to some power. The rate constant is also used in the equation for the half-life of a reaction.The half-life of a reaction is proportional to the inverse of the rate constant. Mathematically, it can be represented a :t1/2 ∝ 1/kTherefore, as the rate constant increases, the half-life of the reaction decreases and vice versa. In other words, there is an inverse relationship between the half-life of a reaction and the rate constant.

This relationship can be observed in a plot of ln(t1/2) vs. 1/t. The slope of this plot is equal to the proportionality constant between half-life and inverse rate constant, which is given by the expression:k = ln(2)/t1/2Therefore, the slope of the plot is directly proportional to ln(2), which is a constant. This means that the proportionality constant between half-life and inverse rate constant does affect the slope of a plot of ln(t1/2) vs. 1/t.

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If the minimum 30 chairs were sold , then the minimum number of Tables sold is 10.

Given as :

The cost of each chair = $ 200

The cost of each table = $ 600

The total number of furniture sold per day = 40

The minimum amount of selling per day = $ 12000

Let the total number of chair = C

The total number of table = T

So , according to question

C + T = 40        .......1

200 C + 600 T = 12000         .......2

Solving eq 1 and 2

200 C + 600 T = 12000

200 × ( C + T ) = 40 × 200

i.e 200 C + 200 T = 8000

or, ( 200 C + 600 T ) - ( 200 C + 200 T ) = 12,000 - 8000

Or, 400 T =  4000

i.e T = 10

Put The value of T in eq 2

So, 200 C + 600 × 10 = 12000

or , 200 C + 6000 = 12,000

Or, 200 C = 12000 - 6000

Or, 200 C = 6000

i.e C = 30

The number of chair sold is 30

If the number of chair sold is 10 ,

Then the min number of table sold = 200 × 30 + 600 T = 12000

i.e 600 T = 12000 - 6000

or, 600 T = 6000

∴   T = 10

I.e T = 10

Hence, if the minimum 30 chairs were sold , then the minimum number of Tables sold is 10 .

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answer:

is that a quiz or a test? cuz if so, brainly doesn't let us do ur work. someone will report. but i wont. dw!

Answer:

a) 1/(7x-14)

b) 2 (36-y^2)

Step-by-step explanation:

Please let me know if you need explanation

The division of the polynomials x² - 9x + 6 ÷ x + 1  is (c) x - 10 + 16/(x + 1)

From the question, we have the following parameters that can be used in our computation:

x² - 9x + 6 ÷ x + 1

Using the synthetic division, the set up is

-1  |   1  -9  6

   |__________

Bring down the first coefficient, which is 1 and repeat the process

-1  |   1  -9  6

   |___-1__10_____

        1  -10 16

This means that the quotient is x - 10 and the remainder is 16

So, we have

x² - 9x + 6 ÷ x + 1 = x - 10 + 16/(x + 1)

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Answer:

1/4 is 0.25

1/25 is .04

1/6 is 0.16

1/3 is 0.3

It is recommended that a wager of $1,000 be placed on candidate B1 to win the national election so that the potential return can be maximised.

For each candidate, we first compute the probability of each result, and then we multiply that probability by the payout that corresponds to that outcome. This gives us the expected payoff for each candidate. The projected return for candidate A comes to 0.5 times $2,200, which equals $1,100. The estimated reward for candidate B1 is 0.5 times 0.8 times $2,000, which equals $800. In conclusion, the expected payment for selection B2 is half (0.5) times (0.2) times (10,000), which is $1,000.

According to these calculations, the expected return on investment for a wager placed on candidate A is $1,100, but the expected return on investment for a bet placed on candidate B1 is $800 and the expected return for candidate B2 is $1,000. Because we want to make sure that the amount of money we win is as big as possible, we should place our bets on candidate A, who has the potential to win us the most money. As a result, placing a wager of one thousand dollars on candidate B1 to win the national election is recommended.

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The statement given is false. The reason for this is that the convergence of a function does not necessarily imply anything about the value of its derivative. To disprove the statement, we can consider the function f(x) = x^2, which converges for all x, but its third derivative f'''(x) = 0, which means that f'''(0) is also equal to 0. Hence, f′′′(0) is not equal to 2.

In general, it is important to note that the convergence of a function does not provide any information about the behavior of its derivatives. Moreover, a function may converge at some points and diverge at others, and this can be determined by analyzing the behavior of its terms or by using convergence tests. In this case, it is necessary to compute f′′′(0) directly using the definition of the derivative or by applying differentiation rules.

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Answer:

B

Step-by-step explanation:

The Poisson probability distribution is used with a discrete random variable. This distribution models the probability of a certain number of events occurring within a fixed time or space interval, where the events occur randomly and independently of each other. the correct answer to the question is option b.

Examples of such events include the number of calls received by a call center in an hour, the number of cars passing through an intersection in a minute, or the number of defects in a production batch. The Poisson distribution has a single parameter, lambda, which represents the average number of events occurring within the interval. This distribution is widely used in various fields such as insurance, finance, engineering, and biology. Therefore, the correct answer to the question is option b.

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The jar of glitter was used for each poster is 4/3

Given,

In the question:

Brad used 1/3 jar of glitter evenly among 4 posters.

To find the  how much of the jar of glitter was used for each poster?

Now, According to the question;

Based on the given conditions:

Formulate;

Brad used 1/3 jar of glitter

and, evenly among 4 posters.

= \(\frac{1}{\frac{3}{4} }\)

Calculate:

Divide a fraction by multiplying its reciprocal

= 4/3

Hence, The jar of glitter was used for each poster is 4/3

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1) In this question, we are dealing algebra of functions. So, let's add them up.

2)

Note that we wrote it in the standard form.

2) Hence, the answer is:

Without the standard deviation, we cannot calculate the standard error or the 95 percent confidence interval for the mean time required to stabilize emergency condition 4 using display panel B.

To calculate a 95 percent confidence interval for the mean time required to stabilize emergency condition 4 using display panel B, we can use the least squares means estimates provided in the JMP output.

According to the JMP output, the estimate for the mean time required to stabilize emergency condition 4 using display panel B is 10.375000.

To calculate the confidence interval, we need to find the margin of error. The margin of error can be calculated using the formula:

Margin of Error = Critical Value * Standard Error

In this case, we need to find the critical value for a 95 percent confidence interval. Since we have a sample size of 24 (as mentioned in the question), we can use the t-distribution with (24-1) degrees of freedom to find the critical value.

Looking up the critical value in the t-distribution table, with (24-1) degrees of freedom and a confidence level of 95 percent, we find that the critical value is approximately 2.064.

The standard error can be calculated using the formula:

Standard Error = Standard Deviation / √(sample size)

The standard deviation is not provided in the given information. Therefore, we cannot calculate the standard error or the confidence interval without this information.

In summary, without the standard deviation, we cannot calculate the standard error or the 95 percent confidence interval for the mean time required to stabilize emergency condition 4 using display panel B.

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Answer:

D.. I think..hope it helps