A particular strand of DNA was classified into one of three genotypes: E4*/E4*, E4*/E4", and Upper E 4/E4". In addition to a sample of 2,096 young adults (20-24 years), two other age groups were studied: a sample of 2,180 middle-aged adults (40-44 years) and a sample of 2,280 elderly adults (60-64 years). The accompanying table gives a breakdown of the number of adults with the three genotypes in each age category for the total sample of 6,556 adults. Researchers concluded that "there were no significant genotype differences across the three age groups" using a=0.05.
Are they correct?

The angles 75° and ∠2 are alternate interior angles.

Option D is the correct answer.

We have,

From the figure,

55°, ∠3, and 75° forms a straight angle.

Alternate angles are pairs of angles formed when a transversal line intersects two parallel lines.

Alternate angles are equal in measure, which means they have the same angle degree value.

So,

75° and ∠2 are alternate angles.

Thus,

75° and ∠2 are alternate angles.

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Answer:

54

Step-by-step explanation:

0.32 + /100 = 0.54 + 32/100

0.32 + x/100 = 0.54 + 0.32

x / 100 = 0.54

x = 54

So, the answer is 54

The smallest value of n that satisfies this inequality is n = 11. Therefore, we need at least 11 terms to obtain an approximation of the series IM8 12ke 0.49k2 accurate to 10-6.

To find the smallest number of terms needed to obtain an approximation of the series IM8 12ke 0.49k2 accurate to 10-6, we need to use the formula for the partial sum of a series. The partial sum of the given series up to n terms is:

S(n) = IM8 + 12e + 0.49(2^2) + 0.49(3^2) + ... + 0.49(n^2)

We want to find the smallest value of n such that the error between S(n) and the true value of the series is less than 10^-6. The error between S(n) and the true value of the series can be approximated by the absolute value of the next term in the series:

|an+1| = 0.49((n+1)^2)

So we need to find the smallest value of n such that:

|an+1| < 10^-6

0.49((n+1)^2) < 10^-6

(n+1)^2 < (10^-6)/0.49

n+1 < sqrt((10^-6)/0.49)

n < sqrt((10^-6)/0.49) - 1

n < 11.75

Since n must be a whole number, the smallest value of n that satisfies this inequality is n = 11. Therefore, we need at least 11 terms to obtain an approximation of the series IM8 12ke 0.49k2 accurate to 10-6.

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They discount you $250 from the television cost.

Discount is defined as a deduction from the usual cost of something.

Since the television cost $1250 and when you bought it they gave you a 20% discount. We can say:

discount = 20% of $1250

discount = 20/100 * $1250

discount = $250

Therefore, they discount you $250

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Question in English

A television cost $1250 and when we bought it they gave us a 20% discount. How much did they discount us?

The length of the major arc DFE is 10.11 π ft.

Given that, a circle C, with central angle 100°, and radius 7 yards,

We need to find the length of the major arc DFE,

The length of an arc = central angle / 360° × circumference

The central angle for the arc DFE = 360° - 100° = 260°

So, the length = 260° / 360° × π × 14

= 10.11 π ft

Hence, the length of the major arc DFE is 10.11 π ft.

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The difference is: Marginal cost is the money paid for producing one more unit of a good. Marginal revenue is the money earned from selling one more unit of a good.

Marginal cost (MC) is the additional outlay expended by a producer when they fabricate and supply one supplementary unit of an item or service. It symbolizes the replace in total costs caused by producing one extra piece.

Marginal revenue (MR), on the other hand, is the supplementary turnover generated when an establishment deals one more piece of a good or service. It signifies the transformation in complete revenue attained from selling an supplemental product.

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Answer:

2700

Step-by-step explanation:

im pretty sure that volume is length times width times height so

if u times these 3 numbers together its 2700

A. 2x + 3 = 5 + 2x has infinitely many solutions because the variable terms cancel out, leaving the statement 3 = 3, which is always true, regardless of the value of x.

The probability of drawing three sevens in a row from a standard deck of cards when the drawn card is not returned to the deck each time is approximately 0.00012, or 0.012%.

To determine the probability of drawing three sevens in a row from a standard deck of cards without replacement, we can use the following method:

Step 1: Identify the total number of cards in a standard deck. A standard deck has 52 cards (13 ranks and 4 suits).

Step 2: Determine the number of sevens in the deck. There are 4 sevens (one from each suit).

The probability of drawing a seven from a standard deck of 52 cards is 4/52 or 1/13, since there are four sevens in the deck. After the first seven is drawn, there are 51 cards left in the deck, of which three are sevens. So the probability of drawing a second seven is 3/51. Similarly, after the second seven is drawn, there are 50 cards left in the deck, of which two are sevens. So the probability of drawing a third seven is 2/50.


Step 3: Calculate the probability of drawing the first seven. This would be the number of sevens divided by the total number of cards:
P(1st Seven) = 4/52

Step 4: After drawing the first seven, there are now 51 cards left in the deck and only 3 sevens remaining. Calculate the probability of drawing the second seven:
P(2nd Seven) = 3/51

Step 5: After drawing the second seven, there are now 50 cards left in the deck and only 2 sevens remaining. Calculate the probability of drawing the third seven:
P(3rd Seven) = 2/50

Step 6: To find the probability of all three events happening in a row, multiply the individual probabilities:
P(Three Sevens) = P(1st Seven) * P(2nd Seven) * P(3rd Seven) = (4/52) * (3/51) * (2/50)

Step 7: Calculate the result:
P(Three Sevens) = (4/52) * (3/51) * (2/50) = 0.0012 (approximately)

The probability of drawing three sevens in a row from a standard deck of cards without replacement is approximately 0.0012, or 0.12%.

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The cost of one small order of fries at the Burger Palace is $1.09. The correct answer is not given in any option.

The price is another name for the cost of a thing from the perspective of a consumer. This is the price the seller sets for a product, which takes into account both the cost of manufacture and the markup the seller adds to increase profits.

Let's say a hamburger costs x dollars and a small order of French fries costs y dollars.

x--------> the cost of one hamburger

y--------> the cost one small order fries

we know that

2x+y=6.50

5x+5y=17.75

using a graph tool

see the attached figure

the solution is

x=2.5

y=1.09

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The complete question is

At The Burger Palace, 2 hamburgers and 1 small order of fries costs $6.50. The Clarke family ordered 5 hamburgers and 5 small orders of fries and paid $17.75.

Select the TWO equations that fit the scenario described above.

A) 2x+y=6.50

B) 6.50x+17.75y=5

C) 2x+5y=24.25

D) 5x+5y=6.50

E) 5x+5y=17.75

Answer:

Solving the inequality for y in 37<7 would be

y<2

The length of MS is 10 cm and diameter of the circle is RS

Given that the midpoint of PQ is M

RM is 10 cm and PQ is 24 cm

We have to find the length of MS

As M is midpoint then RM=MS

MS = 10 cm

Now the diameter of the circle is RS because it passes through middle of the circle which is center O

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a)  A is not diagonal because it is not possible to find a matrix P such that A = PDP^-1, where D is a diagonal matrix.

b) A is not diagonalizable.

(a) A is diagonalizable but not diagonal: One possible example of such a matrix A would be:

A = [[1, 1], [0, 5]]

The characteristic polynomial of A is det(A –λ I) = (1 - λ)2(5 –λ), as given. The eigenvalues of A are λ1 = 1 and λ2 = 5, both of which have algebraic multiplicity 2. The eigenvectors corresponding to λ1 = 1 are [1, 0] and [1, 1], while the eigenvector corresponding to λ2 = 5 is [0, 1]. It can be verified that the eigenvectors are linearly independent and thus form a basis for R2. Therefore, A is diagonalizable.

However, A is not diagonal because it is not possible to find a matrix P such that A = PDP^-1, where D is a diagonal matrix.

(b) A is not diagonalizable: One possible example of such a matrix A would be:

A = [[1, 1], [0, 1]]

The characteristic polynomial of A is det(A –λ I) = (1 - λ)^2, which has a repeated eigenvalue of λ = 1. The eigenvectors corresponding to λ = 1 are [1, 0] and [0, 1], but they do not form a basis for R2 because they are linearly dependent. Therefore, A is not diagonalizable.

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Answer:

The correct answer is c.) 3/36.There are three favorable outcomes (2, 11, and 12) out of a total of 36 possible outcomes (assuming a fair six-sided number cube). Therefore, the probability of X being a 2, 11, or 12 is 3/36, which can be simplified to 1/12.

Step-by-step explanation:

Based on the information given, we know that the probability of finding 3 people in a household is the same as the probability of finding 4 people. Therefore, the probability that a randomly chosen American household contains 2 or 5 people is 1/6.

To determine the probability that should replace "?" in the table, we first need to recognize that the sum of probabilities for all possible outcomes must equal 1. Given that the probability of finding 3 people in a household is the same as the probability of finding 4 people, let's denote that probability as x.

Since the "?" represents the remaining probability, we can set up an equation:
x + x + ? = 1

The sum of the probabilities for all possible outcomes must equal 1. We know that there are 4 possible outcomes (households with 2, 3, 4, or 5 people).

Simplifying the equation:
3x + ? = 1

Since we know that the probability of finding 3 people in a household is the same as the probability of finding 4 people, we can set up another equation:

Now, let's plug in the answer choices and see which one gives us a valid probability distribution:

a) 0.04:
2x + 0.04 = 1
2x = 0.96
x = 0.48 (Invalid, since x should be the probability for finding 3 or 4 people and it's greater than the maximum probability value of 1)

b) 0.09:
2x + 0.09 = 1
2x = 0.91
x = 0.455 (Invalid for the same reason as options a)

c) 0.32:
2x + 0.32 = 1
2x = 0.68
x = 0.34 (Valid, as it falls within the probability range of 0 to 1)

d) 0.16:
2x + 0.16 = 1
2x = 0.84
x = 0.42 (Invalid for the same reason as options a)

Based on the calculations, option c (0.32) should replace "?" in the table, as it creates a valid probability distribution with the given conditions.

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The values in the expression will be:

a. 4x

b. -4x

c. -16x

d. 4x + 5

e. 4x

f. 5x

g. 10 - 6x

h. 2x - 10

It is important to note that an expression is simply used to show the relationship between the variables that are provided or the data given regarding an information.

Based on the information, it should be noted that:

10x - 6x

= 4x

6x - 4x

= 2x

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The expression that will help in finding the surface area of the net are

The external surface area of three-dimensional objects is referred to as the surface area, and is generally calculated in square units.

Calculating the surface area of certain 3D shapes requires one to use different formulas. depending on the shapes

The shapes encountered here are

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Answer:

b = 12 Km

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

b² + 16² = 20²

b² + 256 = 400 ( subtract 256 from both sides )

b² = 144 ( take square root of both sides )

b = [tex]\sqrt{144}[/tex] = 12

When the population standard deviation is known, the confidence interval for the population mean is based on the z-statistic.

When the population standard deviation is known, the confidence interval for the population mean is based on the z-statistic.

The formula for the confidence interval for the population mean when the population standard deviation is known is given by:

CI = X ± z(α/2) * σ/√n

Where:

X is the sample mean

σ is the population standard deviation

n is the sample size

z(α/2) is the z-score corresponding to the desired level of confidence (e.g. for a 95% confidence interval, α = 0.05 and z(α/2) = 1.96)

The z-statistic is used in this formula to determine the width of the confidence interval. It is based on the standard normal distribution and represents the number of standard deviations the sample mean is from the population mean. The z-score is calculated using the formula:

z = (X - μ) / (σ/√n)

Where μ is the population mean.

The z-score is used to find the critical values for the confidence interval, which are obtained by multiplying it by the standard error of the mean (σ/√n). These critical values define the endpoints of the confidence interval.

In summary, when the population standard deviation is known, the confidence interval for the population mean is based on the z-statistic, which is used to calculate the critical values for the confidence interval.

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Answer:

Step-by-step explanation:

Maximum :)

The price elasticity of demand when the price is $32 per orange is 2

To calculate the price elasticity of demand, we need to use the formula:

E = (%Δq / %Δp) x (p/q)

where E is the price elasticity of demand, %Δq is the percentage change in quantity demanded, %Δp is the percentage change in price, and p/q is the average price-quantity ratio.

Given that the weekly sales of Honolulu Red Oranges is given by q = 1040 - 20p, we can find the derivative of q with respect to p as follows:

dq/dp = -20

This tells us that for every $1 increase in price, the quantity demanded will decrease by 20 units.

At a price of $32 per orange, the quantity demanded is:

q = 1040 - 20(32) = 424

If the price were to increase to $33 per orange, the new quantity demanded would be:

q' = 1040 - 20(33) = 404

Using these values, we can calculate the percentage changes in price and quantity demanded as:

%Δp = [(33 - 32) / 32] x 100% = 3.125%

%Δq = [(404 - 424) / 424] x 100% = -4.72%

The average price-quantity ratio is:

(p+ p')/2q = [(32 + 33)/2]/424 = 0.015

Now we can calculate the price elasticity of demand as:

E = (%Δq / %Δp) x (p/q) = (-4.72 / 3.125) x 0.015 = -0.023

Since the price elasticity of demand is negative, we know that Honolulu Red Oranges have an inelastic demand at a price of $32 per orange. This means that a 1% increase in price will lead to a less than 1% decrease in quantity demanded.

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The fixed cost per unit based on cost of the machine per part manufactured is $0.42 per unit. Option ( A )

Multiplication is a mathematical operation that involves finding the product of two or more numbers or quantities. It is a way of adding a number to itself multiple times. The symbol used to represent multiplication is an "x" or a dot "·". For example, in the expression 5 x 6 = 30, 5 and 6 are multiplied together to give the product of 30. Multiplication can also be represented using parentheses, such as (5)(6) = 30. In addition, multiplication can be done with decimals, fractions, variables, and matrices.

To find the fixed cost per unit based on the cost of the machine per part manufactured, we need to calculate the total number of units produced by the machine over its estimated useful life, and then divide the cost of the machine by that number.

The machine runs at its capacity of 1,000 units per month for 10 years, so the total number of units produced by the machine is:

10 years x 12 months/year x 1,000 units/month = 120,000 units

The cost of the machine is $50,000, so the fixed cost per unit based on the cost of the machine per part manufactured is:

$50,000 ÷ 120,000 units = $0.4167 per unit

Rounding this to the nearest penny gives us the final answer of:

$0.42 per unit (option a)

Therefore, the fixed cost per unit based on cost of the machine per part manufactured is $0.42 per unit.

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A) The same z-score and find the area to the left of it, which is 0.1562.

b) The 75th percentile of the defect length distribution is 33.32 mm.

C) The 15th percentile of the defect length distribution is 19.21 mm.

d)The values that separate the middle 80% of the defect length distribution from the smallest 10% and the largest 10% are 17.95 mm and 38.05 mm, respectively.

(a) To find the probability that the defect length is at most 20 mm, we need to calculate the z-score first:

z = (20 - 28) / 7.9 = -1.0127

Using a standard normal table or a calculator, we can find that the probability of a z-score less than or equal to -1.0127 is 0.1562. Therefore, the probability that the defect length is at most 20 mm is 0.1562.

To find the probability that the defect length is less than 20 mm, we can use the same z-score and find the area to the left of it, which is 0.1562.

(b) To find the 75th percentile of the defect length distribution, we need to find the z-score that corresponds to the area of 0.75 in the standard normal distribution. Using a standard normal table or a calculator, we can find that this z-score is approximately 0.6745.

Then, we can solve for the defect length:

z = (x - 28) / 7.9

0.6745 = (x - 28) / 7.9

x - 28 = 0.6745 * 7.9

x = 33.32

Therefore, the 75th percentile of the defect length distribution is 33.32 mm.

(c) To find the 15th percentile of the defect length distribution, we need to find the z-score that corresponds to the area of 0.15 in the standard normal distribution. Using a standard normal table or a calculator, we can find that this z-score is approximately -1.0364.

Then, we can solve for the defect length:

z = (x - 28) / 7.9

-1.0364 = (x - 28) / 7.9

x - 28 = -1.0364 * 7.9

x = 19.21

Therefore, the 15th percentile of the defect length distribution is 19.21 mm.

(d) To find the values that separate the middle 80% of the defect length distribution from the smallest 10% and the largest 10%, we need to find the z-scores that correspond to the areas of 0.1 and 0.9 in the standard normal distribution. Using a standard normal table or a calculator, we can find that these z-scores are approximately -1.2816 and 1.2816, respectively.

Then, we can solve for the defect lengths:

z = (x - 28) / 7.9

-1.2816 = (x - 28) / 7.9

x - 28 = -1.2816 * 7.9

x = 17.95

z = (x - 28) / 7.9

1.2816 = (x - 28) / 7.9

x - 28 = 1.2816 * 7.9

x = 38.05

Therefore, the values that separate the middle 80% of the defect length distribution from the smallest 10% and the largest 10% are 17.95 mm and 38.05 mm, respectively.

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Answer:

B: 4.5

Step-by-step explanation:

Mike works 39 hours per week at Job A and 20 hours per week at Job B.

We need to formulate some expressions here.

Let:

Hours Mike works at Job A = x

Hours Mike works at Job B = y

We know that:

x + y = 59 ---------- equation 1

We also know that he makes $6 per hour at Job A, and $7 per hour at Job B, and his total pay is $374. So we can set up another equation based on his total pay:

6x + 7y = 374 --------- equation 2

Now we have two equations with two unknowns, which we can solve simultaneously.

Using substitution method:

solve for x in terms of y:

x = 59 - y

We can substitute this expression for x into equation 2:

6(59 - y) + 7y = 374

Simplifying and solving for y:

354 - 6y + 7y = 374

y = 20

So Mike works 20 hours per week at Job B. We can substitute this value for y into equation 1 to find x:

x + 20 = 59

x = 39

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The 90% confidence interval for the proportion of Americans who decide not to go to college because they cannot afford it can be calculated using a statistical formula. The formula for a confidence interval is: CI = p ± zsqrt((p(1-p))/n)

Where CI is the confidence interval, p is the proportion of interest (in this case, 0.48 or 48%), and z is the critical value from the standard normal distribution for the desired level of confidence (in this case, 1.645 for 90% confidence), sqrt is the square root function, and n is the sample size (in this case, 331).

Plugging in the values, we get:

CI = 0.48 ± 1.645sqrt((0.48(1-0.48))/331)

CI = 0.48 ± 0.062

Thus, the 90% confidence interval for the proportion of Americans who decide not to go to college because they cannot afford it is (0.418, 0.542). This means that we can be 90% confident that the true proportion of Americans who decide not to go to college because they cannot afford it falls between 41.8% and 54.2%.

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The value of z, In the above statistics-based question where the area to the right of z is 0.9803, is approximately 1.81.

In statistics, the standard normal distribution is a specific distribution of normal random variables with a mean of 0 and a standard deviation of 1. The area under the curve of a standard normal distribution is equal to 1, and the distribution is symmetric around the mean of 0.

To find the value of z for a given area to the right of z, we can use a standard normal distribution table or calculator. For example, using a standard normal distribution table, we can find the value of z that corresponds to an area of 0.0197 to the left of z. This value is approximately -1.81. Since the area to the right of z is 0.9803, we can find the value of z by subtracting -1.81 from 0, which gives us approximately 1.81.

Alternatively, we can use the inverse normal distribution function in Excel or another statistical software package to find the value of z directly. For example, the Excel function NORMSINV(0.9803) returns a value of approximately 1.81, which is the same as the value we obtained using the standard normal distribution table.

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Since a straightedge lacks measurement gradients, it can only be used to create or draw straight lines—not to measure length.

An instrument for drawing straight lines or ensuring their straightness is a straightedge or straight edge. It is typically referred to as a ruler if its length is marked with uniformly spaced markings. If no markings are present, it is just a straight edge.

Straight lines can be measured and marked with a ruler. A straight edge won't help you measure, but since they are typically more robustly constructed than rulers, they are a better tool for drawing straight lines. Most of the time, rulers can be used as a straight edge.

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The z-score for 0.7129 is approximately 0.55. The value of c is 0.55, rounded to two decimal places.

1. We're given P(2 > c) = 0.2643, which means the area under the standard normal distribution curve between 2 and c is 0.2643.

2. We'll use the z-table or a calculator with a standard normal distribution function to find the corresponding z-score for c.

3. To find the area to the left of c, we need to first find the area to the left of 2. The z-score for 2 is 0.9772 (from the z-table or using a calculator).

4. Now, subtract the given area (0.2643) from the area to the left of 2: 0.9772 - 0.2643 = 0.7129.

5. Look up the z-score corresponding to the area 0.7129 in the z-table, or use a calculator with the inverse standard normal distribution function. The z-score for 0.7129 is approximately 0.55.

6. Therefore, the value of c is 0.55, rounded to two decimal places.

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Answer:

C. When they're done, José always fills the gas tank.