In a camival game, a person wagers $2 on the roll of two dice. If the total of the two dice is 2,3,4, 5 , or 6 then the person gets $4 (the $2 wager and $2 winnings). If the total of the two dice is 8,9,10, 11 , or 12 then the person gets nothing (loses $2 ). If the total of the two dice is 7 , the person gets $0.75 back (loses $0.25 ). What is the expected value of playing the game once? A) −$0.42 B) −$0.04 C) $0.00 D) $2.00

The required probabilities are: P(Y > 150) = 0.1444P(Y < 60) = 0.0787

Given that Y has a lognormal distribution with mean μ = 71.2 and variance σ² = 158.40.

The mean and variance of lognormal distribution are given by: E(Y) = exp(μ + σ²/2) and V(Y) = [exp(σ²) - 1]exp(2μ + σ²)

Now we need to calculate the following probabilities:

P(Y > 150)P(Y < 60)We know that if Y has a lognormal distribution with mean μ and variance σ², then the random variable Z = (ln(Y) - μ) / σ follows a standard normal distribution.

That is, Z ~ N(0, 1).

Therefore, P(Y > 150) = P(ln(Y) > ln(150))= P[(ln(Y) - 71.2) / √158.40 > (ln(150) - 71.2) / √158.40]= P(Z > 1.0642) [using Z table]= 1 - P(Z < 1.0642) = 1 - 0.8556 = 0.1444Also, P(Y < 60) = P(ln(Y) < ln(60))= P[(ln(Y) - 71.2) / √158.40 < (ln(60) - 71.2) / √158.40]= P(Z < -1.4189) [using Z table]= 0.0787

Therefore, the required probabilities are:P(Y > 150) = 0.1444P(Y < 60) = 0.078

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The selling price should be $9054.61 to recoup the income that the rental company loses by selling the equipment "early."

a) It is an annuity due problem.

An annuity due is a sequence of payments, made at the start of each period for a fixed period.

For instance, rent on a property, which is usually paid in advance at the start of the month and continues for a set period, is an annuity due.

In an annuity due, each payment is made at the start of the period, and the amount does not change over time since it is an agreed-upon lease agreement.

Now, the selling price can be calculated using the following formula:

[tex]PMT(1 + i)[\frac{1 - (1 + i)^{-n}}{i}][/tex]

Here,

PMT = Monthly

Rent = $200

i = Rate per period

= 4.4% per annum/12

n = Number of Periods

= 4.5 * 12 (since 4 and a half years of useful life are left).

= 54

Substituting the values in the formula, we get:

[tex]$$PMT(1+i)\left[\frac{1-(1+i)^{-n}}{i}\right]$$$$=200(1+0.044/12)\left[\frac{1-(1+0.044/12)^{-54}}{0.044/12}\right]$$$$=200(1.003667)\left[\frac{1-(1.003667)^{-54}}{0.00366667}\right]$$$$= 9054.61$$[/tex]

Therefore, the selling price should be $9054.61 to recoup the income that the rental company loses by selling the equipment "early."

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The question that you might get when a university expects a proportion of digital exams to be automatically corrected

Digital exams are graded automatically using special software known as automatic grading software. This software analyzes the exam papers and matches the right answers with the ones given by the student.

The exam software checks the entire exam paper to ensure that the student understands the topic being tested. If the student answers the question correctly, they will earn points. If the student gets the answer wrong, they lose points. The digital exam is graded within a matter of minutes, and students receive their results immediately after the exam.

The use of automatic grading software in universities has become popular because of its accuracy, speed, and efficiency. It saves time and effort, and students can have their grades within a short period.

It also helps reduce the risk of human error, and it is fair to all students because the same standard is used for all exams.

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The probability that the machine will function between 50 and 150 hours without a major breakdown is 0.3736.

The probability that it will work another extra 20 hours properly is 0.0648.

To solve these questions, we can use the properties of the exponential distribution. The exponential distribution is often used to model the time between events in a Poisson process, such as the time between major breakdowns of a machine in this case.

For an exponential distribution with a mean value of λ, the probability density function (PDF) is given by:

f(x) = λ * e^(-λx)

where x is the time, and e is the base of the natural logarithm.

The cumulative distribution function (CDF) for the exponential distribution is:

F(x) = 1 - e^(-λx)

Q7) To find this probability, we need to calculate the difference between the CDF values at 150 hours and 50 hours.

Let λ be the rate parameter, which is equal to 1/mean. In this case, λ = 1/100 = 0.01.

P(50 ≤ X ≤ 150) = F(150) - F(50)

= (1 - e^(-0.01 * 150)) - (1 - e^(-0.01 * 50))

= e^(-0.01 * 50) - e^(-0.01 * 150)

≈ 0.3935 - 0.0199

≈ 0.3736

Q8) In this case, we need to calculate the probability that the machine functions between 100 and 120 hours without a major breakdown.

P(100 ≤ X ≤ 120) = F(120) - F(100)

= (1 - e^(-0.01 * 120)) - (1 - e^(-0.01 * 100))

= e^(-0.01 * 100) - e^(-0.01 * 120)

≈ 0.3660 - 0.3012

≈ 0.0648

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70% maximum heart rate of Kirti ≈ 131

To calculate Kirt's maximum heart rate, we can use the formula:

Maximum heart rate = 220 - age

Substituting Kirt's age of 33, we get:

Maximum heart rate = 220 - 33 = 187

To calculate Kirt's 50% maximum heart rate, we can multiply his maximum heart rate by 0.5:

50% maximum heart rate = 0.5 x 187 = 93.5

Rounding to the nearest whole number, we get:

50% maximum heart rate ≈ 94

To calculate Kirt's 70% maximum heart rate, we can multiply his maximum heart rate by 0.7:

70% maximum heart rate = 0.7 x 187 = 130.9

Rounding to the nearest whole number, we get:

70% maximum heart rate ≈ 131

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The number of respondents who play both hockey and baseball is y = 135 - 2x.

The principle of inclusion and exclusion can be defined as a counting technique that helps you find the number of elements that are contained in at least one of the given sets. This principle involves adding or subtracting the number of elements in the various sets of data. In simple terms, it is the technique used to count the number of elements in a union of sets.

A Venn diagram is a tool that is often used to represent sets and their relationships. The principle of inclusion and exclusion can be effectively applied to a Venn diagram to determine the number of elements in a union of sets. Given the survey data, we can represent the three sports - hockey, baseball, and no sport - using a Venn diagram.

The number of people who play both hockey and baseball is found by adding the number of people who play only hockey and the number of people who play only baseball and then subtracting that value from the total number of survey respondents. Here's how we can do this:

Number of respondents who play hockey only = 190 - x

Number of respondents who play baseball only = 95 - x

Number of respondents who play neither sport = 50

Total number of respondents = 300

Using the principle of inclusion and exclusion, we know that:

Total number of respondents who play hockey or baseball = number of respondents who play hockey only + number of respondents who play baseball only - number of respondents who play both sports + number of respondents who play neither sport.

300 = (190 - x) + (95 - x) - y + 50

where y represents the number of people who play both sports. Simplifying the equation above, we get:

300 = 335 - 2x - y-35 = -2x - y +135 = 2x + y

Therefore, the number of respondents who play both hockey and baseball is y = 135 - 2x.

The number of people who play only hockey is 190 - x, and the number of people who play only baseball is 95 - x.

The number of people who play neither sport is 50.

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A. The mean of the relevant distribution is 19.2.

B. Rounded to at least three decimal places, the standard deviation of the distribution is approximately 1.760.

(a) The number of workers in the sample who are union members can be estimated by taking the expected value of the relevant random variable. In this case, the random variable represents the number of union members in a sample of 20 workers.

Since 96% of all workers belong to the union, we can expect that 96% of the workers in the sample will also be union members. Therefore, the expected value of the random variable is given by:

E(X) = np

where n is the sample size (20) and p is the probability of success (0.96).

E(X) = 20 * 0.96 = 19.2

Therefore, the mean of the relevant distribution is 19.2.

(b) To quantify the uncertainty of the estimate, we can calculate the standard deviation of the distribution. For a binomial distribution, the standard deviation is given by:

σ = sqrt(np(1-p))

Using the same values as above, we can calculate the standard deviation:

σ = sqrt(20 * 0.96 * (1 - 0.96))

= sqrt(20 * 0.96 * 0.04)

≈ 1.760

Rounded to at least three decimal places, the standard deviation of the distribution is approximately 1.760.

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8/15 bags of clothes were collected by Ana.

Given, Ana and Marie are collecting clothes for calamity victims.

Ana collected (2)/(3) as many clothes Marie did.

If Marie collected 2(4)/(5) bags of clothes, we have to find how many bags of clothes did Ana collect.

Let the amount of clothes collected by Marie = 2(4)/(5)

We have to find how many bags of clothes did Ana collect

Ana collected (2)/(3) as many clothes as Marie did.

Therefore,

Ana collected:

(2)/(3) × 2(4)/(5) of clothes

= 8/15 clothes collected by Marie

We know that,

2(4)/(5) bags of clothes were collected by Marie

8/15 bags of clothes were collected by Ana

Therefore, 8/15 bags of clothes were collected by Ana.

Answer: 8/15

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There is no enough evidence to support the researcher's claim that at least 10% of all football helmets have manufacturing flaws that could potentially cause injury to the wearer, based on this sample of 200 helmets.

The test statistics is -1.414

To test whether the sample supports the researcher's claim that at least 10% of all football helmets have manufacturing flaws, we will use a one-tailed hypothesis test with a significance level of α=0.01.

Hypotheses:

Null hypothesis (H0) : the proportion of helmets with manufacturing flaws is less than or equal to 10%

H0: p <= 0.1

Alternative hypothesis (Ha): the proportion of helmets with manufacturing flaws is greater than 10%:

Ha: p > 0.1

where p is the true proportion of helmets with manufacturing flaws in the population.

We can use the sample proportion, p-hat, as an estimate of the true proportion, and test whether it is significantly greater than 0.1.

The test statistic for this hypothesis test

[tex]z = (p-hat - p0) / \sqrt(p0*(1-p0)/n)[/tex]

where p0 is the null hypothesis proportion (0.1),

n is the sample size (200), and

p-hat is the sample proportion (16/200 = 0.08).

Substitute for the given values

z = (0.08 - 0.1) / [tex]\sqrt[/tex](0.1*(1-0.1)/200)

= -1.414

From a standard normal distribution table, the p-value associated with this test statistic is

p-value = P(Z > -1.414)

= 0.921

Decision:

Since the p-value (0.921) is greater than the significance level (0.01), we fail to reject the null hypothesis.

Therefore, there is no enough evidence to support the researcher's claim that at least 10% of all football helmets have manufacturing flaws that could potentially cause injury to the wearer, based on this sample of 200 helmets.

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Question is incomplete. Find the complete question below

A researcher claims that at least 10% of all football helmets have manufacturing flaws that could potentially cause injury to the wearer. A sample of 200 helmets revealed that 16 helmets contained such defects. Does this finding support the researcher's claim? Use α=0.01. What is the test statistic? Round-off final answer to three decimal places.

The breakeven sales in units, meeting the profit target of 15%, is approximately 12,995.7 units.

To calculate the breakeven sales in units, we need to consider the profit target and the cost structure of the product.

Given:

Selling price per unit = $37.39

Variable cost per unit = $14.53

Fixed costs = $285,789

Return on sales target = 15% = 0.15

To calculate the breakeven sales in units, we can use the following formula:

Breakeven sales (in units) = Fixed costs / (Selling price per unit - Variable cost per unit + Return on sales)

Breakeven sales (in units) = $285,789 / ($37.39 - $14.53 + 0.15)

Breakeven sales (in units) = $285,789 / $22.01

Breakeven sales (in units) ≈ 12,995.73

Rounding to the nearest tenth of a unit, the breakeven sales in units would be approximately 12,995.7 units.

The correct question should be :

Roadside Inc's new product would sell for $37.39. Variable cost of production would be $14.53 per unit. Setting up production would entail relevant fixed costs of $285,789. The project cannot go forward unless the new product would earn a return on sales of 15%. Calculate breakeven sales in UNITS, meeting the profit target. (Rounding: tenth of a unit.)

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The quotient is 3x^2 - x - 2.

To use synthetic division to find the quotient of (3x^3 - 7x^2 + 2x + 1) divided by (x - 2), we set up the synthetic division table as follows:

Copy code

  |   3    -7     2     1

2 |_____________________

First, we write down the coefficients of the dividend (3x^3 - 7x^2 + 2x + 1) in descending order: 3, -7, 2, 1. Then, we bring down the first coefficient, 3, as the first value in the second row.

Next, we multiply the divisor, 2, by the number in the second row and write the result below the next coefficient. Multiply: 2 * 3 = 6.

Copy code

  |   3    -7     2     1

2 | 6

Add the result, 6, to the next coefficient in the first row: -7 + 6 = -1. Write this value in the second row.

Copy code

  |   3    -7     2     1

2 | 6 -1

Again, multiply the divisor, 2, by the number in the second row and write the result below the next coefficient: 2 * (-1) = -2.

Copy code

  |   3    -7     2     1

2 | 6 -1 -2

Add the result, -2, to the next coefficient in the first row: 2 + (-2) = 0. Write this value in the second row.

Copy code

  |   3    -7     2     1

2 | 6 -1 -2 0

The bottom row represents the coefficients of the resulting polynomial after the synthetic division. The first value, 6, is the coefficient of x^2, the second value, -1, is the coefficient of x, and the third value, -2, is the constant term.

Thus, the quotient of (3x^3 - 7x^2 + 2x + 1) divided by (x - 2) is:

3x^2 - x - 2

Therefore, the quotient is 3x^2 - x - 2.

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This is known as the "68-95-99.7 rule," where approximately 68.26% of the scores fall within one standard deviation, 95.44% fall within two standard deviations, and 99.72% fall within three standard deviations of the mean. Therefore, the correct answer is:

A. 95.44%

The correct answers are:

B. The normal curve is unimodal.

D. The normal curve is S-shaped.

A. 95.44% of the scores will lie between three standard deviations below the mean and three standard deviations above the mean.

The normal curve is a bell-shaped distribution that is symmetric and unimodal. It is S-shaped, meaning it smoothly rises to a peak, and then gradually decreases on both sides. The curve never touches the horizontal axis.

Regarding the proportion of scores within a certain range, approximately 95.44% of the scores will fall within three standard deviations below and above the mean in a normal distribution. This is known as the "68-95-99.7 rule," where approximately 68.26% of the scores fall within one standard deviation, 95.44% fall within two standard deviations, and 99.72% fall within three standard deviations of the mean. Therefore, the correct answer is:

A. 95.44%

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a) A nonzero vector orthogonal to the plane through the points P, Q, and R is N = (8, -9, 0). b) The area of triangle PQR is 1/2 * √145. c) The volume of the parallelepiped with adjacent edges PQ, PR, and PS is 5.

a) To find a nonzero vector orthogonal to the plane through the points P, Q, and R, we can find the cross product of the vectors formed by subtracting one point from another.

Let's find two vectors in the plane, PQ and PR:

PQ = Q - P

= (2, 3, 2) - (-2, 1, 0)

= (4, 2, 2)

PR = R - P

= (1, 4, -1) - (-2, 1, 0)

= (3, 3, -1)

Now, we can find the cross product of PQ and PR:

N = PQ × PR

= (4, 2, 2) × (3, 3, -1)

Using the determinant method for the cross product, we have:

N = (2(3) - 2(-1), -1(3) - 2(3), 4(3) - 4(3))

= (8, -9, 0)

b) To find the area of triangle PQR, we can use the magnitude of the cross product of PQ and PR divided by 2.

The magnitude of N = (8, -9, 0) is:

√[tex](8^2 + (-9)^2 + 0^2)[/tex]

= √(64 + 81 + 0)

= √145

c) To find the volume of the parallelepiped with adjacent edges PQ, PR, and PS, we can use the scalar triple product.

The scalar triple product of PQ, PR, and PS is given by the absolute value of (PQ × PR) · PS.

Let's find PS:

PS = S - P

= (3, 6, 1) - (-2, 1, 0)

= (5, 5, 1)

Now, let's calculate the scalar triple product:

V = |(PQ × PR) · PS|

= |N · PS|

= |(8, -9, 0) · (5, 5, 1)|

Using the dot product, we have:

V = |(8 * 5) + (-9 * 5) + (0 * 1)|

= |40 - 45 + 0|

= |-5|

= 5

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The derivative of the function y = (x² + 4x + 3)/(√x) is shown below:

Given function,y = (x² + 4x + 3)/(√x)We can rewrite the given function as y = (x² + 4x + 3) * x^(-1/2)

Hence, y = (x² + 4x + 3) * x^(-1/2)

We can use the Quotient Rule of Differentiation to differentiate the above function.

Hence, the derivative of the given function y = (x² + 4x + 3)/(√x) is

dy/dx = [(2x + 4) * x^(1/2) - (x² + 4x + 3) * (1/2) * x^(-1/2)] / x = [2x(x + 2) - (x² + 4x + 3)] / [2x^(3/2)]

We simplify the expression, dy/dx = (x - 1) / [x^(3/2)]

Hence, the derivative of the given function y = (x² + 4x + 3)/(√x) is

(x - 1) / [x^(3/2)].

The derivative of the function f(x) = [(1/x²) - (3/x^4)](x + 5x³) is shown below:

Given function, f(x) = [(1/x²) - (3/x^4)](x + 5x³)

We can use the Product Rule of Differentiation to differentiate the above function.

Hence, the derivative of the given function f(x) = [(1/x²) - (3/x^4)](x + 5x³) is

df/dx = [(1/x²) - (3/x^4)] * (3x² + 1) + [(1/x²) - (3/x^4)] * 15x²

We simplify the expression, df/dx = [(1/x²) - (3/x^4)] * [3x² + 1 + 15x²]

Hence, the derivative of the given function f(x) = [(1/x²) - (3/x^4)](x + 5x³) is

[(1/x²) - (3/x^4)] * [3x² + 1 + 15x²].

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The range of possible values that correlation coefficient, r, between two quantitative variables can have is d. A value from -1 to 1 (inclusive).

A correlation coefficient is a mathematical measure of the degree to which changes in one variable predict changes in another variable. This statistic is used in the field of statistics to measure the strength of a relationship between two variables. The value of the correlation coefficient, r, always lies between -1 and 1 (inclusive).

A correlation coefficient of 1 means that there is a perfect positive relationship between the two variables. A correlation coefficient of -1 means that there is a perfect negative relationship between the two variables. Finally, a correlation coefficient of 0 means that there is no relationship between the two variables.

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The probability that a person has an 1Q score of at most 105 is 0.630

The probability the average salary is at least $64,000 is 0.488

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

Mean = 100

Standard deviation = 15

So, we have the z-scores to be

z = (105 - 100)/15

z = 0.333

So, the probability is

P = (z ≤ 0.333)

When calculated, we have

P = 0.630

Here, we have

Mean = 63,783

Standard deviation = 7,240

So, we have the z-scores to be

z = (64,000 - 63,783)/7,240

z = 0.030

So, the probability is

P = (z ≥ 0.030)

When calculated, we have

P = 0.488

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a. The number of addresses in the block is N, the first address is the network address with all host bits set to zero, and the last address is the network address with all host bits set to one.

b. A network diagram visually represents the network address block and individual addresses within it, but without specific information, a detailed example diagram cannot be provided.

a. To find the number of addresses in the block, we need to calculate 2^(32-n), where n is the number of bits used to represent the network address.

N = 2^(32 - n), we need to substitute the value of N to find the number of addresses:

N = 2^(32 - log2(N))

Simplifying the equation:

2^log2(N) = N

So, the number of addresses in the block is N.

To find the first address, we start with the given address and set all the bits after the network address bits to zero. In this case, the network address is 115.15.47.0.

To find the last address, we set all the bits after the network address bits to one. In this case, the network address is 115.15.47.255.

b. In a network diagram, you would typically represent the network address block and the individual addresses within that block. The network address block would be represented as a rectangle or square, with the first address and last address labeled within the block. The diagram would also include any connecting lines or arrows to represent the network connections between different blocks or devices.

Please note that without more specific information about the network configuration and subnetting, it is not possible to provide a more detailed example network diagram.

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The cost for renting the videoke machine is a piecewise function with two cases, as shown above.

Let C(x) be the cost of renting the videoke machine for x days. Then we can define C(x) as follows:

C(x) =

1000, if x <= 3

1400 + 400(x-3), if x > 3

The function C(x) is a piecewise function because it is defined differently for x <= 3 and x > 3. For the first three days, the cost is a flat rate of Php 1,000. For the fourth day onwards, an additional cost of Php 400 per day is added. Therefore, the cost for renting the videoke machine is a piecewise function with two cases, as shown above.

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Lois's monthly payment on the loan after she graduates in 3 years is approximately $398.19. To determine the monthly payment for a subsidized student loan, we can use the formula for monthly payment on an amortizing loan:

P = (r * A) / (1 - (1 + r)^(-n))

Where:

P is the monthly payment

A is the loan amount

r is the monthly interest rate

n is the total number of payments

Let's calculate the monthly payment for each scenario:

1. Briana's loan:

Loan amount (A) = $28,000

Interest rate = 4.125% per year

Monthly interest rate (r) = 4.125% / 12 = 0.34375%

Number of payments (n) = 10 years - 2 years (after graduation) = 8 years * 12 months = 96 months

Using the formula:

P = (0.0034375 * 28000) / (1 - (1 + 0.0034375)^(-96))

P ≈ $337.39

Therefore, Briana's monthly payment on the loan after she graduates in 2 years is approximately $337.39.

2. Lois's loan:

Loan amount (A) = $31,000

Interest rate = 3.875% per year

Monthly interest rate (r) = 3.875% / 12 = 0.32292%

Number of payments (n) = 9 years - 3 years (after graduation) = 6 years * 12 months = 72 months

Using the formula:

P = (0.0032292 * 31000) / (1 - (1 + 0.0032292)^(-72))

P ≈ $398.19

Therefore, Lois's monthly payment on the loan after she graduates in 3 years is approximately $398.19.

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Given mean incubation time of fertilized eggs is 23 days. The incubation times are approximately normally distributed with a standard deviation of 1 day.

(a) Determine the 17th percentile for incubation times:

To find the 17th percentile from the standard normal distribution, we use the standard normal table. Using the standard normal table, we find that the area to the left of z = -0.91 is 0.17,

that is, P(Z < -0.91) = 0.17.

Where Z = (x - µ) / σ , so x = (Zσ + µ).

Here,

µ = 23,

σ = 1

and Z = -0.91x

= (−0.91 × 1) + 23

= 22.09 ≈ 22.

(b) Determine the incubation times that make up the middle 95%.We know that for a standard normal distribution, the area between the mean and ±1.96 standard deviations covers the middle 95% of the distribution.

Thus we can say that 95% of the fertilized eggs have incubation time between

µ - 1.96σ and µ + 1.96σ.

µ - 1.96σ = 23 - 1.96(1) = 20.08 ≈ 20 (Lower limit)

µ + 1.96σ = 23 + 1.96(1) = 25.04 ≈ 25 (Upper limit)

Therefore, the incubation times that make up the middle 95% is 20 to 25 days.

Explanation:

The given mean incubation time of fertilized eggs is 23 days and it is approximately normally distributed with a standard deviation of 1 day.

(a) Determine the 17th percentile for incubation times: The formula to determine the percentile is given below:

Percentile = (Number of values below a given value / Total number of values) × 100

Percentile = (1 - P) × 100

Here, P is the probability that a value is greater than or equal to x, in other words, the area under the standard normal curve to the right of x.

From the standard normal table, we have the probability P = 0.17 for z = -0.91.The area to the left of z = -0.91 is 0.17, that is, P(Z < -0.91) = 0.17.

Where Z = (x - µ) / σ , so x = (Zσ + µ).

Hence, the 17th percentile is x = 22 days.

(b) Determine the incubation times that make up the middle 95%.For a standard normal distribution, we know that,µ - 1.96σ is the lower limit.µ + 1.96σ is the upper limit. Using the values given, the lower limit is 20 and the upper limit is 25.

Therefore, the incubation times that make up the middle 95% is 20 to 25 days.

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The given function is [tex]$g(x) = \frac{9x^2 + 8x + 7}{x + 7}$[/tex]. We have determined that the given function is continuous .

Let's check the left and right-hand limits to verify the continuity of the function at x = -7:[tex]$$\lim_{x \rightarrow -7^{-}} \frac{9x^2 + 8x + 7}{x + 7} = \frac{0}{0}$$$$\lim_{x \rightarrow -7^{-}} \frac{9x^2 + 8x + 7}{x + 7} = \lim_{x \rightarrow -7^{-}} \frac{(3x+1)(3x+7)}{x+7} = \frac{-14}{0^{-}}$$$$\lim_{x \rightarrow -7^{+}} \frac{9x^2 + 8x + 7}{x + 7} = \frac{0}{0}$$$$\lim_{x \rightarrow -7^{+}} \frac{9x^2 + 8x + 7}{x + 7} = \lim_{x \rightarrow -7^{+}} \frac{(3x+1)(3x+7)}{x+7} = \frac{-14}{0^{+}}$$[/tex]

Since the left-hand limit and the right-hand limit of the function are both of the form [tex]$\frac{0}{0}$[/tex], we can apply L'Hopital's rule to evaluate the limit:[tex]$\lim_{x \rightarrow -7} \frac{9x^2 + 8x + 7}{x + 7} = \lim_{x \rightarrow -7} \frac{18x + 8}{1} = -26$[/tex]. Hence, the value of the function [tex]$g(x) = \frac{9x^2 + 8x + 7}{x + 7}$[/tex] at x = -7 is -26.

Therefore, the function is continuous.

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The rate of change of weight with respect to time is dw/dt = 1.62 - 0.011224t and the approximate weight of the baby at age 7 months is 19.57648 pounds (lb).

a) The rate of change of weight with respect to time:

To find the rate of change of weight with respect to time, we differentiate the function w(t) with respect to t:dw/dt = 1.62 - 0.011224t

The rate of change of weight with respect to time is given by dw/dt = 1.62 - 0.011224t.

b) The weight of the baby at age 7 months.

Substitute t = 7 months in the given function:

w(t)=8.44 + 1.62t-0.005612t^2 + 0.00032313t = 8.44 + 1.62(7) - 0.005612(7)² + 0.00032313w(7) = 19.57648

The approximate weight of the baby at age 7 months is 19.57648 pounds (lb).

Therefore, the rate of change of weight with respect to time is dw/dt = 1.62 - 0.011224t and the approximate weight of the baby at age 7 months is 19.57648 pounds (lb).

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Adele bought 17 of the 39-cent stamps and 25-17=8 of the 23-cent postcards. We will solve this by using linear equations in one variable.

⇒Let x be the number of 39-cent stamps that Adele bought.

Here, x is the variable.

⇒So the number of 23cent postcards would be 25-x.

We can obtain the following equation: 0.39x + 0.23(25 - x) = 8.47

⇒Simplifying the equation we have: 0.39x + 5.75 - 0.23x = 8.47

⇒Combining like terms we have: 0.16x + 5.75 = 8.47

Subtracting 5.75 from both sides we get: 0.16x = 2.72

⇒Dividing both sides by 0.16 we get, x = 17

Therefore, Adele bought 17 of the 39-cent stamps and 25-17=8 of the 23-cent postcards.

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In a circle, the angle subtended by a diameter from any point on the circumference is always 90°. The width of the coverage of the satellite is [tex]\frac{1}{12}[/tex] of the circumference of the circle.

The satellite located at the point where two tangents to the equator of the Earth intersect. If the two tangents form an angle of 30 degrees, how wide is the coverage of the satellite?Let AB and CD are the tangents to the equator, meeting at O as shown below: [tex]\angle[/tex]AOB = [tex]\angle[/tex]COD = 90°As O is the center of a circle, and the tangents AB and CD meet at O, the angle AOC = 180°.That implies [tex]\angle[/tex]AOD = 180° - [tex]\angle[/tex]AOC = 180° - 180° = 0°, i.e., the straight line AD is a diameter of the circle.In a circle, the angle subtended by a diameter from any point on the circumference is always 90°.Therefore, [tex]\angle[/tex]AEB = [tex]\angle[/tex]AOF = 90°Here, the straight line EF represents the coverage of the satellite, which subtends an angle at the center of the circle which is 30 degrees, because the two tangents make an angle of 30 degrees. Therefore, in order to find the length of the arc EF, you need to find out what proportion of the full circumference of the circle is 30 degrees. So we have:[tex]\frac{30}{360}[/tex] x [tex]\pi[/tex]r, where r is the radius of the circle.The circumference of the circle = 2[tex]\pi[/tex]r = 360°Therefore, [tex]\frac{30}{360}[/tex] x [tex]\pi[/tex]r = [tex]\frac{1}{12}[/tex] x [tex]\pi[/tex]r.The width of the coverage of the satellite = arc EF = [tex]\frac{1}{12}[/tex] x [tex]\pi[/tex]r. Therefore, the width of the coverage of the satellite is [tex]\frac{1}{12}[/tex] of the circumference of the circle.

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The difference in their commute distances is 1654 meters.

To compare Mikko's commute distance of 8 km to Jason's commute distance of 6 miles, we need to convert one of the distances to the same unit as the other.

Given that 1 mile is equal to 1609 meters, we can convert Jason's commute distance to kilometers:

6 miles * 1609 meters/mile = 9654 meters

Now we can calculate the difference in their commute distances:

Difference = Mikko's distance - Jason's distance

         = 8 km - 9654 meters

To perform the subtraction, we need to convert Mikko's distance to meters:

8 km * 1000 meters/km = 8000 meters

Now we can calculate the difference:

Difference = 8000 meters - 9654 meters

         = -1654 meters

The negative sign indicates that Jason's commute distance is greater than Mikko's commute distance.

Therefore, their commute distances differ by 1654 metres.

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a) The expected sum of 10 rolls on an 8-sided die is 45.

b) The standard deviation for the sum of 10 rolls is approximately 0.906.

c) The probability that the sum is greater than 150 is 0, as the maximum possible sum is 80.

a) To calculate the expected sum of the 10 rolls, we can use the following formula:

Expected value of the sum of the 10 rolls = E(10X) = 10 * E(X) = 10 * 4.5 = 45

So, the expected sum of the 10 rolls is 45.

b) To calculate the standard deviation for the sum of the 10 rolls, we can use the following formula:

σ² = npq

where n = 10, p = probability of getting any number on one roll of an 8-sided die = 1/8, q = probability of not getting any number on one roll of an 8-sided die = 7/8

Therefore,

σ² = 10 * (1/8) * (7/8) = 0.8203125

Thus, the standard deviation for the sum of the 10 rolls is given by:

σ = √0.8203125 = 0.90554 (approx)

Hence, the standard deviation for the sum of the 10 rolls is 0.90554 (approx).

c) Now, we need to find the probability that the sum is greater than 150. Since the die is an 8-sided one, the maximum sum we can get in a single roll is 8. Hence, the maximum sum we can get in 10 rolls is 8 * 10 = 80. Since 150 is greater than 80, P(sum > 150) = 0.

Therefore, the probability that the sum is greater than 150 is 0. Answer: 0.

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The problem is not solvable as stated, since the number of short sleeve T-shirts sold cannot be larger than the total number of shirts available.

Let x be the number of short sleeve T-shirts sold, and y be the number of long sleeve T-shirts sold. Then we have two equations based on the information given in the problem:

x + y = 350 (equation 1, since the vendor has a total of 350 shirts)

12x + 16y = 5000 (equation 2, since the total revenue from selling x short sleeve shirts and y long sleeve shirts is $5000)

We can use equation 1 to solve for y in terms of x:

y = 350 - x

Substituting this into equation 2, we get:

12x + 16(350 - x) = 5000

Simplifying and solving for x, we get:

4x = 1800

x = 450

Since x represents the number of short sleeve T-shirts sold, and we know that the vendor sold a total of 350 shirts, we can see that x is too large. Therefore, there is no solution to this problem that satisfies the conditions given.

In other words, the problem is not solvable as stated, since the number of short sleeve T-shirts sold cannot be larger than the total number of shirts available.

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If you perform a test and get a p-value = 0.051 you should not reject the null hypothesis. The statement given in the question is False.

A p-value is a measure of statistical significance, and it is used to evaluate the likelihood of a null hypothesis being true. If the p-value is less than or equal to the significance level, the null hypothesis is rejected. However, if the p-value is greater than the significance level, the null hypothesis is accepted, which means that the results are not statistically significant and can occur due to chance alone. A p-value is a measure of the evidence against the null hypothesis. The smaller the p-value, the stronger the evidence against the null hypothesis. On the other hand, a larger p-value indicates that the evidence against the null hypothesis is weaker. A p-value less than 0.05 is considered statistically significant.

Therefore, if you perform a test and get a p-value = 0.051 you should not reject the null hypothesis.

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By switching to cans that are 6 inches in diameter, the larger cans would be produced at a different rate. To calculate the number of larger cans produced in an hour, we need to determine the ratio of the volumes of the two cans. Since the height remains the same, the ratio of volumes is simply the ratio of the squares of the diameters (6^2/4^2). Multiplying this ratio by the current production rate of 900 cans per hour gives us the number of larger cans produced in an hour.

To calculate the number of shirts per acre, we need to consider the lint recovered at the gin and the lint that makes it through processing. First, we calculate the lint recovered at the gin by multiplying the average yield per acre (3,500 lbs) by the turnout percentage (36%). Then, we calculate the lint that makes it through processing by multiplying the gin turnout by the processing success rate (60%). Finally, dividing the lint that makes it through processing by the fabric weight per shirt (0.5 lbs) gives us the number of shirts per acre. To convert this value to shirts per hectare, we multiply by the conversion factor (2.471 acres per hectare).

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The slope of the line that passes through the points (8, 4) and (5, 3) is 1/3.

To find the slope of a line with two given points, you can use the formula:

slope = (y2 - y1) / (x2 - x1)

Let's take the points (8, 4) and (5, 3) as an example.

1. Identify the coordinates of the two points: (x1, y1) = (8, 4) and (x2, y2) = (5, 3).

2. Substitute the coordinates into the slope formula:

slope = (3 - 4) / (5 - 8)

3. Simplify the equation:

slope = -1 / -3

4. Simplify further by multiplying the numerator and denominator by -1:

slope = 1 / 3

Therefore, the slope of the line that passes through the points (8, 4) and (5, 3) is 1/3.

To find the slope with three points, you would need to use a different method, such as finding the equation of the line and then calculating the slope from that equation. If you provide the three points, I can guide you through the process.

Remember, slope represents the steepness or incline of a line. A positive slope indicates an upward trend, while a negative slope indicates a downward trend. A slope of zero represents a horizontal line, and an undefined slope represents a vertical line.

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