The three sides of a triangle have lengths of x units,
(x-4) units, and (x² - 2x - 5) units for some value of x greater than 4. What is the perimeter, in units, of the triangle? ​

The whiskers range from 4 to 19 and the box ranges from 7 to 18 with the vertical bar inside the box at 14. Then the correct option is B.

We know that,

The median of the data is the middle value of the data which is also known as the central tendency of the data and is known as the median.

The data set is given as; 12, 10, 16, 19, 18, 14, 4, 18, 4

Arrange the data in the ascending order

4, 4, 10, 12, 14, 16, 18, 18, 19

14 is the middle term that can be treated as a median.

Median = 14

The lowest set of data

4, 4, 10, 12

The lower quartile lies between 4 and 10. Then Q₁ will be

Q₁ = 10+ 4 /2

    = 7

Hence, the start of the box is at 7.

The upper set of data

16, 18, 18, 19

The lower quartile lies between 18 and 18. Then Q₃ will be

Q₃ = 18 + 18 /2

    = 18

Hence, the box range is between 7 and 18.

The whiskers range from 4 to 19 and the box ranges from 7 to 18 with the vertical bar inside the box at 14. Then the correct option is B.

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complete question:

Which box-and-whisker plot represents the data set?

12, 10, 16, 19, 18, 14, 4, 18, 4

A box and whisker plot. The whiskers range from 4 to 19 and the box ranges from 5 to 12.5 with the vertical bar inside the box at 6.

A box and whisker plot. The whiskers range from 4 to 19 and the box ranges from 7 to 18 with the vertical bar inside the box at 14.

A box and whisker plot. The whiskers range from 4 to 19 and the box ranges from 5 to 14 with the vertical bar inside the box at 7.5.

A box and whisker plot. The whiskers range from 4 to 19 and the box ranges from 6 to 14 with the vertical bar inside the box at 10.

Hi there! To answer your question, we'll consider the terms: ordinary fair die, rolled 4 consecutive times, and probability.

An ordinary fair die has 6 sides, each with an equal probability of 1/6. Since you're rolling the die 4 consecutive times and want all different numbers, we can calculate the probability as follows:

For the first roll, any of the 6 numbers can appear, so the probability is 6/6.
For the second roll, you have 5 remaining numbers, so the probability is 5/6.
For the third roll, there are 4 remaining numbers, so the probability is 4/6.
Finally, for the fourth roll, there are 3 remaining numbers, so the probability is 3/6.

Now, multiply the probabilities together to find the overall probability of observing all different numbers:

(6/6) × (5/6) × (4/6) × (3/6) = 1 × 5/6 × 2/3 × 1/2 = 5/36

So, the probability of observing all different numbers in 4 consecutive rolls of an ordinary fair die is 5/36.

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We find 6 possible 2-digit numbers "ab" that satisfy the conditions: 14, 19, 26, 37, 58, and 69.

To find the number of 2-digit numbers "ab" such that "ab" "ba" is a perfect square and a < b, follow these steps:

1. Iterate through all possible 2-digit numbers "ab" with a < b (e.g., a = 1, b = 2, a = 1, b = 3, etc.).
2. For each "ab", form the 4-digit number "ab" "ba".
3. Check if the 4-digit number is a perfect square (i.e., its square root is an integer).
4. Count the number of "ab" that satisfy the condition.

After performing these steps, we find 6 possible 2-digit numbers "ab" that satisfy the conditions: 14, 19, 26, 37, 58, and 69.

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The length 20 inches of the icicle in feet is 1 2/3 feet

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

Jessica found an icicle 20 inches long.

This means that

Length = 20 inches

To convert inches to feet, we divide the length value by 12

So, we have

Length = 20/12 feet

Evaluate

Length = 1 2/3 feet

Hence, the length is 1 2/3 feet

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To answer your question, let's consider the set U = {2, 4, 5, 6, 7, 3, 5}, and let W be the set of all x in R³ such that U * x = 0. The theorem in Chapter 4 that can be used to show that W is a subspace of R³ is the "Subspace Theorem."

The Subspace Theorem states that a subset W of a vector space V is a subspace if it satisfies the following three conditions:
1. The zero vector of V is in W.
2. If u and v are in W, then their sum (u+v) is in W.
3. If u is in W and c is a scalar, then the product (cu) is in W.

To describe W in geometric language, W would be a plane or a line that passes through the origin in R³, which is orthogonal (perpendicular) to the given vector U. This is because all the vectors x in W have a dot product of 0 with U, indicating that they are orthogonal to U.

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The surface area of the paper towel is determined as 212.1 in².

The surface area of the cylinder is calculated as follows;

S.A = 2πr (r + h )

where;

The radius of the cylinder = 5 in /2 = 2.5 in

The total surface area of the cylinder is calculated as follows;

S.A = 2πr (r + h )

S.A = 2π x 2.5 in ( 2.5 in + 11 in )

S.A = 212.1 in²

Thus, the surface area of the cylinder is equal to surface area of the paper towel.

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After the estimation, the product of 306 and 673 by first rounding each number to the nearest hundred is 2100.

To round off the number to the nearest hundred, we have to check the first two digits of the number and if the number is below 50 then we round off it to the same hundred position. Similarly, if the number is above 50 then we round off it to the next hundred places.

Given the numbers are 306 and 673,  

306 has 06 as the first two digits and it is below 50 then after rounding off it is rounded off to 300.

673 has 73 as the first two digits and it is after 50 then after rounding off it is rounded off to 700.

Thus, after the estimation, the product can be calculated as:

300 * 700 = 2100

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The inequality is 0.15x ≤ 5.00. If copies of a flyer at a store that charges $0.15 per copy, the maximum number of copies you can afford to make is 33.

The inequality that represents the number of copies you can make is:

0.15x ≤ 5.00

Here, x represents the number of copies you can make, and 0.15 is the cost per copy in dollars. The inequality states that the total cost of copies must be less than or equal to the amount of money you have.

To find the maximum number of copies you can afford to make, we need to solve for x:

0.15x ≤ 5.00

x ≤ 5.00/0.15

x ≤ 33.33

Since you cannot make a fraction of a copy, the actual number of copies you can make is 33 or less.

In conclusion, the inequality that represents the number of copies you can make is 0.15x ≤ 5.00, and the maximum number of copies you can afford to make is 33.

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You have $5.00 and you need to make copies of a flyer at a store that charges $0.15 per copy. Find the inequality that represents the number of copies you can make. Use x as the variable. What is the maximum number of copies you can afford to make?

The answer is C. 2 km.

To find the distance after the policeman spots the thief where he will catch him, we'll need to use the terms distance, speed, and time.

Given:
- Distance between thief and policeman: 500 m
- Speed of thief: 8 km/hr
- Speed of policeman: 10 km/hr

Step 1: Convert the distance to kilometers (since the speeds are in km/hr).
500 m = 0.5 km

Step 2: Calculate the relative speed of the policeman to the thief.
Relative speed = Speed of policeman - Speed of thief = 10 km/hr - 8 km/hr = 2 km/hr

Step 3: Calculate the time it will take for the policeman to catch the thief.
Time = Distance / Relative speed = 0.5 km / 2 km/hr = 0.25 hr

Step 4: Calculate the distance traveled by the policeman in that time.
Distance traveled = Speed of policeman × Time = 10 km/hr × 0.25 hr = 2.5 km

Step 5: Subtract the initial distance between them to find the distance after the policeman spots the thief.
Distance after spotting = Distance traveled - Initial distance = 2.5 km - 0.5 km = 2 km

So, the policeman will catch the thief at a distance of 2 km after he spots him. The answer is C. 2 km.

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Answer: Here i will explain it to you and give an example

Here's an example: let's say you have three positive integers, 5, 12, and 13. To check if they form a Pythagorean triple, you can compute 5^2 + 12^2 = 25 + 144 = 169, which is equal to 13^2. Since the equation holds, the three numbers 5, 12, and 13 form a Pythagorean triple.

In fact, this is a well-known Pythagorean triple, because it is one of the smallest triples, and it is frequently used in geometry and mathematics. The triple (5, 12, 13) satisfies the Pythagorean theorem and represents the lengths of the sides of a right triangle.

Step-by-step explanation:  Three positive numbers form a Pythagorean triple if they satisfy the Pythagorean theorem, which states that in a right triangle, the square of the length of the hypotenuse (the side opposite the right angle) is equal to the sum of the squares of the lengths of the other two sides. In other words, if a, b, and c are the lengths of the sides of a triangle such that c is the length of the hypotenuse (the longest side) and a and b are the lengths of the other two sides, then the Pythagorean theorem states that a^2 + b^2 = c^2.

Therefore, to determine if three positive numbers form a Pythagorean triple, you need to check if the sum of the squares of the two smaller numbers is equal to the square of the largest number. For example, if you have three numbers 3, 4, and 5, you can check if they form a Pythagorean triple by computing 3^2 + 4^2 = 9 + 16 = 25, which is equal to 5^2. Since the equation holds, the numbers 3, 4, and 5 form a Pythagorean triple.

Hope this helped. Have a great day.

We can find the corresponding density function f(x) by taking the derivative of the cumulative distribution function (CDF) F(x)[tex]= P[X\leq x][/tex]. The density function is equal to the negative of the derivative of P[X > x] with respect to x.

We know that the probability of X is greater than some value x can be expressed as P[X > x] = 1 - F(x). Rearranging this equation, we get F(x) = 1 - P[X > x].

Since the CDF is defined as the integral of the density function over the range of X, we can differentiate F(x) with respect to x to get the density function:
[tex]f(x)=\frac{d}{dx}F(x) =\frac{d}{dx}  (1 - P[X > x])[/tex]
[tex]= -\frac{d}{dx} P[X > x][/tex]

Therefore, to find the density function given P[X > x] for all x, we simply need to take the derivative of 1 - P[X > x] with respect to x, which is equal to the negative of the derivative of P[X > x] with respect to x.

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If the interest rate increases by 0.02 and the unemployment rate drops by 0.03 from January to February.

The regression output includes information on the coefficients of the variables in the regression model. Based on the given information, we do not have access to the actual values of these coefficients, but we can use the output to make predictions about how a change in the variables would affect the response variable (stock prices).

To answer the question, we need to use the coefficients to calculate the expected change in stock prices based on the given changes in the interest rate and unemployment rate. Specifically, we need to calculate:

ΔStock Price = β0 + β1ΔInterest Rate + β2ΔUnemployment Rate

where ΔInterest Rate and ΔUnemployment Rate are the changes in these variables from January to February, and β0, β1, and β2 are the intercept and coefficients for interest rate and unemployment rate, respectively.

Without the actual regression output, we cannot calculate this value precisely. However, we can use the answer choices to help us narrow down the possibilities.

Option A and B suggest a large change in stock prices, while options C and D suggest a smaller change. Looking at the coefficients in the regression output, we see that the slope coefficients for the interest rate and unemployment rate are likely to be relatively small (since the adjusted R-squared value is only 0.2189). Therefore, it seems more likely that the impact of a small change in the variables would also be relatively small.

Option C suggests an increase in stock price, while option D suggests a decrease. Based on the sign of the coefficients in the regression output (which we do not have), we cannot say for sure which is correct. However, we can use common sense to help us make an educated guess. If the interest rate increases and the unemployment rate decreases, this might be seen as a positive sign for the economy, which could lead to an increase in stock prices. Therefore, option C seems like the more reasonable choice.

In summary, based on the given information, we would expect the stock price to increase by $0.59 if the interest rate increases by 0.02 and the unemployment rate drops by 0.03 from January to February.

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Range of center should be used to determine which location typically has the cooler temperature.

Now, We know that;

Range is measures the difference between the highest and lowest values in a dataset, providing a clear measure of variability for both sets of data. It is not affected by skewness or symmetry, which makes it a useful measure of variability for comparing the temperature consistency between Desert Landing and Flower Town.

A histogram is a graphical representation of the distribution of a dataset. It is a way to display the frequency of different values or ranges of values in a dataset.

The x-axis of a histogram typically represents the values or ranges of values, and the y-axis represents the frequency or count of those values.

The data is divided into bins, and each bin is represented by a bar whose height corresponds to the number of observations in that bin. Histograms are used to visualize the distribution of data, detect outliers, and identify patterns or trends in the data.

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The function f(x) = rx mapping S2 to S2(r) is one-to-one, onto, but not an isometry if r ≠ 1.

To prove that the function f: S2 → S2(r) defined by f(x) = rx is one-to-one, onto, and not an isometry if r ≠ 1, we'll consider the following:

1. One-to-one: For f to be one-to-one, for every distinct pair of points x, y ∈ S2, we must have f(x) ≠ f(y). Suppose x ≠ y, then rx ≠ ry since r > 0. This shows that f is one-to-one.

2. Onto: To show that f is onto, we must show that for every point y ∈ S2(r), there exists a point x ∈ S2 such that f(x) = y. For y ∈ S2(r), we can find x = (1/r)y, which satisfies |x| = 1, so x ∈ S2. Then f(x) = r(1/r)y = y, proving that f is onto.

3. Not an isometry if r ≠ 1: An isometry is a function that preserves distances between points. If f were an isometry, we'd have |f(x) - f(y)| = |x - y| for all x, y ∈ S2. Consider x, y ∈ S2 with |x - y| = d. Then, |f(x) - f(y)| = |rx - ry| = r|x - y| = rd. If r ≠ 1, rd ≠ d, so f does not preserve distances, and therefore f is not an isometry.

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Answer:

The correct answer is d.) 21/36.If we assume a fair six-sided number cube, there are a total of 36 possible outcomes. Out of these, the favorable outcomes for X being at least 7 are 21, 22, 23, 24, 25, and 26 (six outcomes). Therefore, the probability of X being at least 7 is 6/36, which can be simplified to 1/6, or approximately 0.1667.

Step-by-step explanation:

The expression (t-4)⁰ (2t+7) simplifies to 2t+7, and the value of t that satisfies the equation is -7/2.

The expression (t-4)⁰ (2t+7) represents the product of two terms. Any number raised to the power of zero is equal to 1, so the first term (t-4)⁰ is equal to 1.

We can simplify the expression to: 1(2t+7) which is just equal to 2t+7.

We want to solve for the value of t. Since 2t+7 is a linear expression (i.e. the highest power of t is 1), we can solve for t by isolating it on one side of the equation. 2t+7 = 0

Subtracting 7 from both sides,

we get: 2t = -7

Dividing by 2,

we obtain: t = -7/2

The value of t that satisfies the equation is -7/2.

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Answer:

Step-by-step explanation:

2

�

+

7

+

�

−

4

=

2t+7+t−4=

90

90

2

�

+

�

+

7

−

4

=

2t+t+7−4=

90

90

Commutative property

3

�

+

3

=

3t+3=

90

90

Combine like terms

−

3

−3=

−

3

−3

3

�

=

3t=

87

87

Subtract 3 from both sides

3

�

3

=

3

3t

​

=

87

3

3

87

​

Undo multiplication by dividing both sides by 3

�

=

t=

29

29

The resulting decrease in sales is $17,083.27.

In a competitive market, many producers are in direct competition with one another in order to offer the goods and services that customers like you and me want and need. In other words, no single producer has the power to control the market.

Here in competitive market, the given formula is S = 15000 ln(1 + 0.02x)

When x = 500, S = 15000 ln(1 + 0.02(500)) = 15000 ln(11) ≈ $46,247.43

When x = 1000, S = 15000 ln(1 + 0.02(1000)) = 15000 ln(21) ≈ $76,155.25

If x is decreased from $500 to $100 per month, the percentage decrease is (500-100)/500 = 0.8 or 80%

To find the resulting decrease in sales, we need to calculate the difference in sales when x=500 and x=100.

When x = 500, S = 15000 ln(1 + 0.02(500)) = 15000 ln(11) ≈ $46,247.43

When x = 100, S = 15000 ln(1 + 0.02(100)) = 15000 ln(3) ≈ $29,164.16

The resulting decrease in sales is $46,247.43 - $29,164.16 ≈ $17,083.27.

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Correct Question:

In a competitive market, the volume of sales depends on the amount spent on advertising the product in question. If "x" dollars are spent per month advertising a particular product; It was determined that the sales volume "S" per month (in dollars) is given by the sig. Formula

Find the sales volume when x=500 v x=1000. If "x" is decreased from $500 to $100 per month,

What is the resulting decrease in sales?

Option 5: All options are correct. They are all likely to occur.

Including a plateau of data points when fitting a linear trendline can have several impacts on the regression analysis performed on that data set:

The r-squared value will be further from a value of 1: The presence of a plateau can decrease the correlation between the variables being analyzed, resulting in a lower r-squared value.

The residual error around the trendline will be greater: The presence of a plateau can lead to larger differences between the observed data and the predicted values on the trendline, increasing the residual error.

The concentration determined from an absorbance will likely be less accurate: If the plateau represents a baseline noise or interference, including it in the linear regression analysis can lead to inaccurate estimates of the concentration being measured.

The data points will fall further from the trendline: Including a plateau can increase the distance between the data points and the trendline, resulting in a less accurate fit.

Therefore, all of the options listed are correct and are likely to occur if a plateau of data points is included when fitting a linear trendline.

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To verify that fxy = fyx for the function f(x, y) = e^(x+y+2), we need to calculate the second-order partial derivatives fxy and fyx.

The steps for verifying are as follows:

1. Calculate the partial derivative of f with respect to x (fx):

fx = d/dx(e^(x+y+2)) = e^(x+y+2)

2. Calculate the partial derivative of fx with respect to y (fxy):

fxy = d/dy(e^(x+y+2)) = e^(x+y+2)

3. Calculate the partial derivative of f with respect to y (fy):

fy = d/dy(e^(x+y+2)) = e^(x+y+2)

4. Calculate the partial derivative of fy with respect to x (fyx):

fyx = d/dx(e^(x+y+2)) = e^(x+y+2)
Comparing the results, we can see that fxy = e^(x+y+2) and fyx = e^(x+y+2). Therefore, fxy = fyx, verifying that the mixed partial derivatives are equal for this function.

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Answer:

It's B

Step-by-step explanation:

I hope that helped you and im not going to educate ylu at this point because people just use this as a cheating app now so

The probability that Ivan selects either a green garment or a pair of pants is 2/3.

Given that there are 3 green garments and 2 pairs of pants in a total of 6 garments, we can find the probabilities of A and B as:

P(A) = probability of selecting a green garment = 3/6 = 1/2

P(B) = probability of selecting a pair of pants = 2/6 = 1/3

To find P(A or B), we use the formula:

P(A or B) = P(A) + P(B) - P(A and B)

P(A and B) = probability of selecting a green pair of pants = 1/6

So, we have:

P(A or B) = 1/2 + 1/3 - 1/6

P(A or B) = 4/6 = 2/3

Therefore, the probability that Ivan selects either a green garment or a pair of pants is 2/3.

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Answer:

Step-by-step explanation:

To find the volume of the solid of revolution, we can use the formula for the volume of a solid of revolution:

V = π∫[a,b] (f(x))^2 dx

where f(x) is the distance between the x-axis and the upper half of the ellipse at x, a and b are the limits of integration.

The upper half of the ellipse can be written as y = b√(1 - x^2/a^2). Thus, the distance between the x-axis and the ellipse at x is given by f(x) = b√(1 - x^2/a^2). Substituting this into the formula for the volume of a solid of revolution, we get:

V = π∫[-a,a] (b√(1 - x^2/a^2))^2 dx

= 2πb^2∫[0,a] (1 - x^2/a^2) dx (because the integrand is even)

= 2πb^2 [x - x^3/(3a^2)]|[0,a]

= 2πb^2 [a - a^3/(3a^2)]

= (4π*b^2*a^2)/3

Therefore, the volume of the solid of revolution is (4π*b^2*a^2)/3, which is the volume of a prolate spheroid.

The zeroes of polynomial are 43/5 and -3/4.

We have,

4 (3x-2)² -3 (3x-2) (x+5) - 7(x+5)²

simplifying the above expression we get

4 (9x² + 4 -12x ) -3 (3x² + 15x - 2x - 10) - 7(x² + 25 + 10x)

= 36x² - 48x + 16 - 9x² -39x + 30 - 7x² - 175 - 70x

= 20x² -157x -129

Now, solving the quadratic equation we get

x = 43/5 and x= -3/4

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To find the projection bp of the vector of the right hand sides to the column space of the coefficient matrix, we can use the formula:

bp = A(A^T A)^-1 A^T b

where A is the coefficient matrix and b is the vector of the right hand sides.


To find the projection of the vector b onto the column space of the coefficient matrix A, you need to perform the following steps:

1. Calculate the orthogonal projection matrix P using the formula P = A(A^T * A)^-1 * A^T, where A^T is the transpose of A, and (A^T * A)^-1 is the inverse of the product of A^T and A.

2. Multiply the projection matrix P with the vector b to obtain the projection vector bp: bp = P * b.

In summary, to find the projection bp of the vector of the right-hand sides to the column space of the coefficient matrix, calculate the orthogonal projection matrix P and then multiply it with the vector b.

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The analyst should include at least 60,088 gas stations in her sample to estimate the 95% confidence interval for the average price of unleaded gasoline with a maximum deviation of $0.04.

To estimate the 95% confidence interval for the average price of unleaded gasoline in California with a maximum deviation of $0.04, we need to determine the minimum number of gas stations to include in the sample. We'll use the standard deviation estimate of 50.24 and the z table.

Step 1: Determine the z-score for a 95% confidence interval. You can find this in a z table or use a calculator. The z-score is 1.96.

Step 2: Use the margin of error formula:
The margin of error = [tex]Z(\frac{Standard Deviation}{\sqrt{(Sample Size)}})[/tex]

Step 3: Plug in the given values and solve for the Sample Size (n):
$0.04 = [tex]1.96(\frac{50.24}{\sqrt{(n)}})[/tex]

Step 4: Rearrange the formula to solve for n:
[tex]n=[\frac{ (1.96)(50.24)}{ 0.04}]^2 = 60087.69[/tex]

Round up to the nearest whole number:
n ≈ 60088

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a) The approximate probability that you will get the sides numbered either "5" or "6" at least 150 times (inclusive) when a fair die is thrown 500 times is  0.9842.

(b)  The maximum likelihood estimate of the parameter is 0.0642.

(a) Let X be the number of times the kick the bucket lands on either 5 or 6 in 500 tosses.

Since each toss is free and incorporates a 1/3 probability of landing on 5 or 6, we will demonstrate X as a binomial dispersion with n = 500 and p = 2/6 = 1/3. We need to discover P(X ≥ 150), which we will surmise utilizing the typical dissemination with cruel np = 500(1/3) = 166.67 and change np(1-p) = 111.11.

Utilizing coherence adjustment, we get:

P(X ≥ 150) ≈ P(Z ≥ (149.5 - 166.67)/√(111.11)) = P(Z ≥ -2.15) = 0.9842

Subsequently, the inexact likelihood that we are going get the sides numbered either 5 or 6 at the slightest 150 times in 500 tosses is 0.9842.

(b) The probability work for a test of n perceptions from an exponential conveyance with parameter λ is:

L(λ) = λ[tex]^n[/tex] [tex]exp[/tex](-λΣ(xi))

Taking the subordinate with regard to λ and setting it to rise to zero, we get:

d/dλ [L(λ)] = n/λ - Σ(xi) =

Tackling for λ, we get:

λ = n/Σ(xi)

Substituting n = 7 and the given values for xi, we get:

λ = 7/(17+14+27+8+12+19+12) = 7/109 = 0.0642 (adjusted to four decimal places)

Hence, the greatest probability appraisal of the parameter λ is 0.0642.

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G and H in terms of x and y is given by H = [tex]B^d[/tex](a, 1) and G = [tex]B^{d_2}(0, 1)[/tex] , the  set S of all possible values of y is x+y≥0 the Cartesian coordinates systems is S = [-7/5, -3/5].

Choosing a point O of the line (the origin), a unit of length, and an orientation for the line are all steps in choosing a Cartesian coordinate system for a one-dimensional space, or for a straight line. The line "is oriented" (or "points") from the negative half towards the positive half when an orientation determines which of the two half-lines given by O is the positive half and which is the negative half. Then, depending on which half-line contains P, the distance between each point P on the line and O can be specified.

a) O = (0, 0) a = (2, -1)∈R²

G = [tex]B^{d_2}(0, 1)[/tex]

D = [tex]\sqrt{x^2+y^2}[/tex] < 1

So this is a circle until center at (0, 0) and no point on

[tex]x^2+y^2[/tex] and every point inside it

H = [tex]B^d[/tex](a, 1) = {v=(x,y)∈R²: d(a, v)≤1}

b) x-2 + y=1 ≤ 1

x-y ≤4

For, x-2≤0, y+1≥0  we get,

2-x+y+1≤1 y-x ≤-2

For, x-2≤0,   y+1≤0,   2-x-y-1≤1

x+y≥0

c) Therefore,

d(a, (13/5, y) ≤ 1

(13/5 -2) + (y +1) ≤ 1

S = [-7/5, -3/5].

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The probability that the chosen student eats fish or eggs is 12/26 = 0.4615 or approximately 46.15%

To answer your question, let's first organize the information given:

Total vegetarians: 26
Eat both fish and eggs: 9
Eat eggs but not fish: 3
Eat neither fish nor eggs: 7

We want to find the probability that the chosen vegetarian student eats fish or eggs. To do this, we need to find the total number of vegetarians who eat fish or eggs. Since 9 eat both fish and eggs, and 3 eat eggs but not fish, we can deduce that 9 + 3 = 12 vegetarians eat fish or eggs.

Now, to find the probability, we'll divide the number of vegetarians who eat fish or eggs (12) by the total number of vegetarians (26).

Probability = (Number of vegetarians who eat fish or eggs) / (Total number of vegetarians)
Probability = 12 / 26
Probability ≈ 0.4615

So, the probability that the chosen vegetarian student eats fish or eggs is approximately 0.4615 or 46.15%.

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a. With a significance level of 0.05, we reject the null hypothesis that the population proportions are equal and conclude that there is evidence to suggest that the proportion of ASU students who know how to ski is different from the proportion of NAU students who know how to ski.

b. With a significance level of 0.01, we also reject the null hypothesis and conclude that there is evidence to suggest that the population proportions are different. The p-value of 0.045 is less than the significance level of 0.01, indicating strong evidence against the null hypothesis.

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