The graphs of the linear functions g and h have different slopes. The value of both functions at x = a is b. When g and h are graphed in the same coordinate plane, what happens at the point (a, b)?

a.

If [tex]b[/tex] and [tex]d[/tex] are odd, then [tex]f[/tex] is odd:

We know that  [tex]q[/tex] and  [tex]r[/tex] are in the lowest terms, which means that  [tex]b[/tex] and  [tex]d[/tex] do not have any common factors other than [tex]1[/tex]. Thus, the denominator of  [tex]s,f[/tex] is the least common multiple of  [tex]b[/tex] and  [tex]d[/tex], which is also in the lowest terms.

Let's assume that  [tex]b[/tex] and  [tex]d[/tex] are odd, then we can write them as  [tex]b=2k+1[/tex] and  [tex]d=2m+1[/tex] for some integers  [tex]k[/tex] and  [tex]m[/tex]. So, [tex]s=q+r=\frac{a}{b} +\frac{c}{d} =\frac{(ad+bc)}{bd}[/tex]c)/bd

Now, let's look at the numerator of [tex]s: ad+bc[/tex]. Since [tex]b[/tex] and [tex]d[/tex] are odd, then 2 divides neither of them. Therefore, the product [tex]bd[/tex] is odd.

Now, we have two cases:

Therefore, [tex]ad+bc[/tex] is odd or even depending on the parity of [tex]a[/tex] and [tex]c[/tex]. Now, let's look at the denominator of [tex]s, bd[/tex].

We know that [tex]b=2k+1[/tex] and[tex]d=2m+1.[/tex] So, [tex]bd=(2k+1)(2m+1)\\ =4km+2k+2m+1\\=2(2km+k+m)+1[/tex], which is odd. Thus, [tex]f[/tex] is odd, which proves the statement.

b. If [tex]b[/tex] and [tex]d[/tex] are even, then [tex]f[/tex] is even:

Again, we know that [tex]q[/tex] and [tex]r[/tex] are in lowest terms, which means that [tex]b[/tex] and [tex]d[/tex] do not have any common factors other than [tex]1[/tex]. Thus, the denominator of [tex]s, f[/tex], is the least common multiple of [tex]b[/tex] and [tex]d[/tex], which is also in the lowest terms.

Let's assume that [tex]b[/tex] and [tex]d[/tex] are even, then we can write them as [tex]b=2k[/tex] and [tex]d=2m[/tex] for some integers [tex]k[/tex] and [tex]m[/tex]. So, [tex]s=q+r= \frac{a}{b}+\frac{c}{d}=\frac{(ad+bc)}{bd}[/tex]

Now, let's look at the numerator of [tex]s: ad+bc[/tex]. Since [tex]b[/tex] and [tex]d[/tex] are even, then 2 divides both of them. Therefore, the product [tex]bd[/tex] is even. Now, we have two cases:

Therefore, [tex](ad+bc)[/tex] is odd or even depending on the parity of [tex]a[/tex] and [tex]c[/tex]. Now, let's look at the denominator of [tex]s, bd[/tex]. We know that [tex]b=2k[/tex]and [tex]d=2m[/tex]. So, [tex]bd=2k*2m=4km[/tex], which is even. Thus,[tex]f[/tex] is even, which proves the statement.

Therefore, both statements are true.

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False. Constant sum scales produce interval scale data, not ratio scale data. In constant sum scales, respondents allocate a fixed number of points among a set of attributes, reflecting their relative importance.

This results in interval scale data where the differences between points are meaningful, but there is no true zero point or absolute zero, which is a key characteristic of ratio scale data.

A ratio scale is a type of measurement scale that has an absolute zero point, meaning that there is a true zero point on the scale that indicates the absence of the attribute being measured. For example, weight and height are ratio scales, where zero weight or height indicates a complete absence of the attribute being measured.

On the other hand, constant sum scales are a type of scale that requires respondents to allocate a fixed total amount among several attributes or options based on their perceived importance or value. This type of scale does not have an absolute zero point, and the scores are not based on the actual quantity of the attribute being measured. For example, constant sum scales are commonly used in marketing research to measure the relative importance of product features or benefits.

As such, constant sum scales do not produce ratio scale data. Instead, they produce interval scale data, where the scores are based on the relative distances between the values on the scale, but there is no true zero point.

Understanding the properties of different measurement scales is important for selecting the appropriate scale for a particular research question and for interpreting and analyzing the data collected using the scale.

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The orthogonal basis for the given basis B = {(6, 8), (1, 0)} is {u1, u2} = {(3/5, 4/5), (16/25, -12/25)}

To apply the Gram-Schmidt orthonormalization process to the given basis, we follow these steps:

Step 1: Normalize the first vector in the basis.

Let v1 = (6, 8).

Then, the normalized vector u1 is:

u1 = v1 / ||v1||, where ||v1|| is the magnitude of v1.

||v1|| = √(6^2 + 8^2) = 10

So, u1 = (6/10, 8/10) = (3/5, 4/5).

Step 2: Project the second vector onto the subspace spanned by the first vector and subtract the projection from the second vector.

Let v2 = (1, 0).

The projection of v2 onto the subspace spanned by v1 is:

projv1(v2) = (v2 * u1)u1, where * denotes the dot product.

v2 * u1 = (1)(3/5) + (0)(4/5) = 3/5

So, projv1(v2) = (3/5, 4/5) * (3/5, 4/5) = (9/25, 12/25)

The orthogonal vector u2 is obtained by subtracting the projection from v2:

u2 = v2 - projv1(v2) = (1, 0) - (9/25, 12/25) = (16/25, -12/25).

We can verify that the two vectors are orthogonal using the dot product:

u1 * u2 = (3/5)(16/25) + (4/5)(-12/25) = 0.

Thus, the Gram-Schmidt orthonormalization process has transformed the given basis into an orthogonal basis.

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(a) [(k+1)(k+2)/2]² is the formula holds for all natural numbers n.

(b) k(k+1)(k+2) is divisible by 6, and the formula holds for k+1.

(c) k + 1 - 1/k < k + 1, hence n ≥ 3, (1 + 1/n)ⁿ < n related to natural numbers.

(a) For n = 1, 1³ = [1(1+1)/2]² = 1, which is true.

Assume that the formula holds for some arbitrary natural number k. That is, 1³ + 2³ + 3³ + ... + k³ = [k(k+1)/2]².

We need to prove that the formula also holds for k+1, that is, 1³ + 2³ + 3³ + ... + k³ + (k+1)³ = [(k+1)(k+2)/2]².

Starting with the left-hand side, we can simplify it as follows:

1³ + 2³ + 3³ + ... + k³ + (k+1)³

= [k(k+1)/2]² + (k+1)³ (using the assumption)

= [(k+1)/2]² * k² + (k+1)³

= [(k+1)/2]² * [k² + 4(k+1)²]

= [(k+1)/2]² * [(k+1)² * 4]

= [(k+1)(k+2)/2]²

Therefore, the formula holds for all natural numbers n.

(b) For n = 1, we have 1³ - 1 = 0, which is divisible by 6.

Assume that the formula holds for some arbitrary natural number k. That is, 6 divides k³ - k.

We need to prove that the formula also holds for k+1, that is, 6 divides (k+1)³ - (k+1).

Starting with the left-hand side, we can expand it as follows:

(k+1)³ - (k+1) = k³ + 3k² + 3k + 1 - k - 1

= k³+ 3k² + 2k

= k(k² + 3k + 2)

= k(k+1)(k+2)

Since k, k+1, and k+2 are consecutive integers, one of them must be divisible by 2, and one of them must be divisible by 3. Therefore, k(k+1)(k+2) is divisible by 6, and the formula holds for k+1.

Therefore, the formula holds for all natural numbers n.

(c) For each natural number n with n ≥ 3, (1 + 1/n)ⁿ < n.

Let n = 3. Then, (1 + 1/3)³ = (4/3)³ = 64/27 ≈ 2.37 and 3 > 2.37.

Assume the statement is true for some k ≥ 3, i.e., (1 + 1/k)^k < k. We want to show that the statement is true for k + 1, i.e., (1 + 1/(k+1))^(k+1) < k + 1.

Note that (1 + 1/(k+1))^(k+1) = (1 + 1/k * 1/(1 + 1/k))^k * (1 + 1/k) < (1 + 1/k)^k * (1 + 1/k) (by the Bernoulli inequality)

By the inductive hypothesis, we know that (1 + 1/k)^k < k, so we can substitute to get (1 + 1/k)^(k+1) < k * (1 + 1/k) = k + 1 - 1/k < k + 1.

Therefore, by mathematical induction, we have shown that for each natural number n with n ≥ 3, (1 + 1/n)ⁿ < n.

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Answer:

12cm+16cm+20cm+4cm

=52cm

Step-by-step explanation:

we find the area of each face and add them together.

The value of t0.010 for a t-distribution with 26 degrees of freedom is 2.779. The critical t-value corresponding to a probability level of 0.010 and 26 degrees of freedom is approximately 2.779.

To find the value of t0.010 for a t-distribution with 26 degrees of freedom, follow these steps:
1. Identify the given information: We are given the probability level (0.010) and the degrees of freedom (26).
2. Consult a t-distribution table or use a calculator/software to find the critical value. Since t-distribution tables may not provide an exact value for every probability level, you may need to interpolate between the closest values given.
3. In this case, using a t-distribution table or software, we find that the critical t-value corresponding to a probability level of 0.010 and 26 degrees of freedom is approximately 2.779.
4. Round the answer to three decimal places, if necessary: The value is already rounded to three decimal places, so our final answer is 2.779.
Therefore, the value of t0.010 for a t-distribution with 26 degrees of freedom is 2.779.

To find the value of t0.010 for a t-distribution with 26 degrees of freedom, we can use a t-distribution table or a calculator that has a t-distribution function. From the table, we can look for the row that corresponds to 26 degrees of freedom and the column that corresponds to the 0.010 significance level. The intersection of the row and column will give us the value of t0.010. Alternatively, we can use a calculator to find the value of t0.010 using the t-distribution function. Assuming that the question meant to ask about a t-distribution with 26 degrees of freedom, and not 2626 degrees of freedom, we can find the value of t0.010 to be approximately -2.478, rounded to three decimal places. This means that the probability of getting a t-value less than -2.478 or greater than 2.478 is 0.010 or 1%.
It is important to note that the use of decimal places in rounding the answer depends on the level of precision required in the context of the problem.

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The horizontal translations of exponential functions only affect the range of the function. The domain remains the same, and the asymptote is unaffected.

The domain of the function still persists as the same – all real numbers. When it comes to range, its variation may occur due to a horizontal shift. If C > 0, then the range will offset upwards by the value of C units, whereas if C < 0, then the range shifts downwards with the magnitude of the shift having no influence on the contour of the function.

Furthermore, exponential functions have a fixed horizontal asymptote at y =0, that is not affected by any horizontal translations and which overtly remains equal to its original function.

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We will prove by structural induction that every common divisor of m and n also divides every member of the set L.By structural induction, we have shown that every common divisor of m and n also divides every member of the set L.

• Base cases: m, n ∈ L

• Constructor cases: If j, k ∈ L, then 1. −j ∈ L 2. j + k ∈ L

Base case:

For m and n, let d be a common divisor of m and n. Since d divides both m and n, it follows that d also divides m + n and m - n (by adding and subtracting the two equations following structural induction). Therefore, d is a divisor of both m and n, as well as of j and k in the base cases of L.

Constructor case 1:

Suppose that −j ∈ L and d is a common divisor of m and n. Then, −j = −1 * j and since d is a divisor of j, it follows that d is also a divisor of −j.

Constructor case 2:

Suppose that j + k ∈ L and d is a common divisor of m and n. Then, d divides both j and k, and therefore d divides (j + k).

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The standard deviation by taking the square root of the variance:
2 x 0.21 + 3 x 0.37 + 4 x 0.22 + 5 x 0.10 + 6 x 0.07 + 7 x 0.03 = 3.42
So the mean number of defects in the batch is 3.42.

Next, we can calculate the variance
(2-3.42)^2 x 0.21 + (3-3.42)^2 x 0.37 + (4-3.42)^2 x 0.22 + (5-3.42)^2 x 0.10 + (6-3.42)^2 x 0.07 + (7-3.42)^2 x 0.03 = 1.8074 ⇒ √1.8074 = 1.34
Therefore, the closest answer is 1.28.

To find the standard deviation of this variable, we first need to calculate the mean (expected value) and then use the formula for standard deviation.

Mean (Expected value) = Σ (Defects × Probability)
= (2 × 0.21) + (3 × 0.37) + (4 × 0.22) + (5 × 0.10) + (6 × 0.07) + (7 × 0.03)
= 0.42 + 1.11 + 0.88 + 0.50 + 0.42 + 0.21
= 3.54

Next, we find the variance:
Variance = Σ[((Defects - Mean)² × Probability)]
= ( (2-3.54)² × 0.21) + ( (3-3.54)² × 0.37) + ( (4-3.54)² × 0.22) + ( (5-3.54)² × 0.10) + ( (6-3.54)² × 0.07) + ( (7-3.54)² × 0.03)
= 0.477 + 0.273 + 0.094 + 0.211 + 0.168 + 0.103
= 1.326

Now we find the standard deviation by taking the square root of the variance:
Standard Deviation = √(Variance)
= √(1.326)
≈ 1.28
Therefore, the closest answer is 1.28. However, please note that this answer may vary slightly depending on rounding or the level of precision required.

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a) 1.5 m measure the distance between the pivot and the force. Correct option is A

b) 800 N measure the force on the beam. Correct option is F.

c) The moment about B is 1200 Nm.

a. The distance of 1.5 meters measures the distance between the force and the pivot. Therefore, the correct answer is A) The distance between the pivot and the force.

b. 800 N measures the force applied to the beam. Therefore, the correct answer is F) The force on the beam.

c. To compute the moment about B, we need to use the formula:

MB = F × d

where F is the force applied to the beam and d is the perpendicular distance from the pivot point to the line of action of the force.

In this case, F = 800 N and d = 1.5 m. Therefore,

MB = 800 N × 1.5 m = 1200 Nm.

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We have f '(x) = 2 cos x − 2 sin x, so f"(x) = -2 sin(x) – 2 cos(x) which equals 0 when tan(x) = -1 . Hence, in the interval [tex]0\leq x\leq 2\pi[/tex], f"(x) = 0 when X = [tex]\frac{3\pi }{4}[/tex] and x = [tex]\frac{7\pi }{4}[/tex]

To find when f"(x) = 0 with the given f"(x) = -2 sin(x) - 2 cos(x), we need to solve the equation:
-2 sin(x) - 2 cos(x) = 0
First, divide both sides of the equation by -2 to simplify:
sin(x) + cos(x) = 0
Now, we want to find when tan(x) is equal to a certain value. Recall that tan(x) = sin(x) / cos(x). To do this, we can rearrange the equation:
sin(x) = -cos(x)
Then, divide both sides by cos(x):
sin(x) / cos(x) = -1
Now, we have:
tan(x) = -1
In the given interval 0 ≤ x ≤ 2π, tan(x) = -1 at:
x = 3π/4 and x = 7π/4.
So, in the interval 0 ≤ x ≤ 2π, f"(x) = 0 when x = 3π/4 and x = 7π/4.

The complete question is:-

we have f '(x) = 2 cos x − 2 sin x, so f"(x) = -2 sin(x) – 2 cos(x) which equals 0 when tan(x) = __ . Hence, in the interval [tex]0\leq x\leq 2\pi[/tex], f"(x) = 0 when X = [tex]\frac{3\pi }{4}[/tex] and x = [tex]\frac{7\pi }{4}[/tex]

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To evaluate the sequence in recursive form, we can use the given recursive formula:

f(n) = -5 x f(n-1)

We are also given the initial value:

f(1) = -3

Using these, we can find the first few terms of the sequence:

f(1) = -3

f(2) = -5 x f(1) = -5 x (-3) = 15

f(3) = -5 x f(2) = -5 x 15 = -75

f(4) = -5 x f(3) = -5 x (-75) = 375

f(5) = -5 x f(4) = -5 x 375 = -1875

So the first few terms of the sequence are: -3, 15, -75, 375, -1875, ...

Note that this sequence is decreasing in magnitude and alternating in sign, since each term is multiplied by -5.

Using the recipe card, Paul would need to make 7 batches of green slime, we again need the recipe card information.

To answer this question, we need to refer to the recipe card for making green slime.

According to the recipe card, we need 1 cup of water for each batch of green slime.

Paul has 3 cups of water, which means he can make 3 batches of green slime.

So, the answer to the first part of the question is yes, Paul has enough water to make 3 batches of green slime.
Moving on to the second part of the question, we need to find out how many tablespoons of cornstarch Paul would need to make 7 batches of green slime.

According to the recipe card, we need 2 tablespoons of cornstarch for each batch of green slime.

So, to make 7 batches, we need to multiply 2 tablespoons by 7 batches, which gives us 14 tablespoons.
Now, we also know that there are 16 tablespoons in 1 cup.

Therefore, to convert 14 tablespoons into cups, we need to divide it by 16. Doing so, we get 0.875 cups.

So, to make 7 batches of green slime Paul would need 0.875 cups of cornstarch.
In conclusion,

Paul has enough water to make 3 batches of green slime and he would need 0.875 cups (or 14 tablespoons) of cornstarch to make 7 batches of green slime.

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Note that the the five-number summary and interquartile range for each data set are:

Let's say the distances recorded for each airplane are:

Andre's: 18, 20, 22, 25, 28, 29, 30, 31, 32, 35

Lin's: 15, 16, 18, 20, 21, 22, 23, 25, 30, 33

Noah's: 10, 12, 13, 15, 18, 20, 21, 22, 23, 25

To find the five-number summary for each data set, we need to find the minimum, maximum, median, and quartiles. We can start by ordering the data sets from smallest to largest:

Andre's: 18, 20, 22, 25, 28, 29, 30, 31, 32, 35

Lin's: 15, 16, 18, 20, 21, 22, 23, 25, 30, 33

Noah's: 10, 12, 13, 15, 18, 20, 21, 22, 23, 25

Minimum:

Andre's: 18

Lin's: 15

Noah's: 10

Maximum:

Andre's: 35

Lin's: 33

Noah's: 25

Median:

Andre's: (28 + 29) / 2 = 28.5

Lin's: (21 + 22) / 2 = 21.5

Noah's: (18 + 20) / 2 = 19

First Quartile (Q1):

Andre's: (22 + 25) / 2 = 23.5

Lin's: (18 + 20) / 2 = 19

Noah's: (12 + 13) / 2 = 12.5

Third Quartile (Q3):

Andre's: (31 + 32) / 2 = 31.5

Lin's: (23 + 25) / 2 = 24

Noah's: (22 + 23) / 2 = 22.5

Interquartile Range (IQR):

IQR = Q3 - Q1

Andre's: 31.5 - 23.5 = 8

Lin's: 24 - 19 = 5

Noah's: 22.5 - 12.5 = 10

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To make an 86% confidence interval with 15 data points (assuming normality), we would use a t-score of 1.341.

To find the t-score for an 86% confidence interval with 15 data points, we need to find the value of t such that the area under the t-distribution curve between t and -t (i.e., the area of the central region containing 86% of the probability mass) is equal to 0.86.

Since we have a small sample size (n=15), we need to use a t-distribution instead of a standard normal distribution. The degrees of freedom for the t-distribution is (n-1) = 14.

Using a t-distribution table or calculator, we can find that the t-score for a two-tailed test with a 86% confidence level and 14 degrees of freedom is approximately 1.341.

Therefore, to make an 86% confidence interval with 15 data points (assuming normality), we would use a t-score of 1.341.

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Part 1: Yes, all squares have 2 pairs of parallel sides.

Part 2: No, not all rectangles have 4 congruent sides.

Part 1: This is because all squares are rectangles, and all rectangles have 2 pairs of parallel sides. Additionally, since all four sides of a square are congruent, this means that the two pairs of sides are also congruent, making them parallel.

Part 2: While all squares are rectangles with 4 congruent sides, rectangles can have two pairs of parallel sides that are not congruent. For example, a rectangle with a length of 5 units and a width of 3 units has two pairs of parallel sides, but they are not congruent.

One pair of sides is longer than the other pair. Therefore, the fact that all squares are rectangles with 4 congruent sides does not mean that all rectangles have 4 congruent sides.

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The standard deviation of the given set of data is 2.93.

To calculate the standard deviation of a set of data, we need to follow these steps:

Find the mean of the data set by adding all the values and dividing the sum by the number of values.

Mean = (7.2 + 8.9 + 2.7 + 11.6 + 5.8 + 10.2) / 6

Mean = 46.4 / 6

Mean = 7.73

Subtract the mean from each data value, then square the result.

For 7.2, (7.2 - 7.73)^2 = 0.0289

For 8.9, (8.9 - 7.73)^2 = 1.36

For 2.7, (2.7 - 7.73)^2 = 23.69

For 11.6, (11.6 - 7.73)^2 = 14.74

For 5.8, (5.8 - 7.73)^2 = 3.73

For 10.2, (10.2 - 7.73)^2 = 6.08

Find the mean of the squared differences by adding them together and dividing by the number of values.

Mean of squared differences = (0.0289 + 1.36 + 23.69 + 14.74 + 3.73 + 6.08) / 6

Mean of squared differences = 49.64 / 6

Mean of squared differences = 8.27

Take the square root of the mean of the squared differences to get the standard deviation.

Standard deviation = √8.27

Standard deviation = 2.93

Therefore, the standard deviation of the given set of data is 2.93.

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When the interest is compounded quarterly the interest rate would be 7.26%  in order for Aria to end up with $68,000.

To solve the question :

The formula for compound interest :

A = P(1 + r/n)^(nt)

Where,

A = Amount,

P = Principal,

R = Annual interest rate,

n = Number of times the interest is compounded per year, and

t = time (years)

Given,

A = $68,000,

P = $23,000,

n = 4 ( as the interest is being compounded quarterly), and

t = 20.

Solving for r :

$68,000 = [tex]$23,000 ( 1+\frac{r}{4} )^{4 * 20}[/tex]

Divide both sides by $23,000 and take the 20th root of both sides,

we get :

[tex](1+\frac{r}{4}) ^{80}[/tex] = 2.9565

Take the natural log of both sides,

we get :

80 ln[tex](1 + \frac{r}{4} )[/tex] = ln (2.9565)

Divide both sides by 80,

we get:

ln [tex](1 + \frac{r}{4} )[/tex] = ln [tex]\frac{ (2.9565)}{80}[/tex]

Take the exponential of both sides,

we get:

1 + r/4 = e^(ln(2.9565)/80)

Subtract 1 from both sides and multiply by 4,

we get:

r = 7.26%

Hence, r =  7.26%.

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Answer:

The greatest common factor of 60 and 15 is 15. Therefore, we can use the distributive property with 15 located in front of the parentheses as follows:

60 + 15 = 15 x 4 + 15 x 1

= 15(4 + 1)

= 15 x 5

= 75

Therefore, 60 + 15 = 75 using the distributive property with the greatest common factor located in front of the parentheses.

A suitable test statistic to evaluate the variation in bacon consumption from 2011 to 2016 would be a test for two proportions and the null hypothesis.

The test's null hypothesis states that the proportion of adults who ate at least three pounds of bacon in 2011 is identical to that number in 2016.

The difference between the proportion of adults who consumed at least 3 pounds of bacon in 2011 and 2016 could be one possible cause.

The p-value of the test statistic must be calculated in order to determine whether or not the null hypothesis can be ideally rejected because it is comparable to a chi-squared distribution with one degree of freedom.

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Question:-

In 2011, 17 percent of a random sample of 200 adults in the United States indicated that they consumed at least 3 pounds of bacon that year. In 2016, 25 percent of a random sample of 600 adults in the United States indicated that they consumed at least 3 pounds of bacon that year.  Assuming all conditions for inference are met which is the most appropriate test statistic to determine variation of bacon consumption from 2011 to 2016 ?

Answer: 35 children

Step-by-step explanation:

Let the number of children who play only football be f , the number of children who play only

tennis be t and the number of children who play both sports be b.

Since there are 42 children, f + t + b = 42.

Also, since the number of children who play tennis is equal to the number of children who play

only football, t + b = f . Therefore f + f = 42. So f = 21 and t + b = 21.

Finally, twice as many play both tennis and football as play just tennis. Therefore b = 2t.

Substituting for b, gives t + 2t = 21. Hence t = 7.

Therefore the number of children who play football is 42 − t = 42 − 7 = 35.

Answer:

The answer to your problem is, C. It is continuous

( I saw that there is more than one answer than the other answer is D. )

Step-by-step explanation:

What a line graph is:

A line graph displays data that continuously changes over a period of time. It can be obtained from bar graphs and histograms ( every histogram is a bar graph ) by joining the mid-point of the top edges of every bar. This makes the analysis easier.

If you look in economic terms ( shown in picture ) everybody uses line graphs from small business owners to the president.

Thus the answer to your problem is, C. It is continuous

Picture of line graph used in economic terms. \/

The vertex form of the quadratic equation is:

y = (x - 3)² - 16

To complete squares we need to use the perfect square trinomial:

(a + b)² = a² + 2ab +b²

The given quadratic can be rewritten as:

y = x² - 2*3*x - 7

We can add and subtract 3²  = 9 to get:

y = x² - 2*3*x + 9 - 9- 7

y = (x - 3)² - 16

That is the quadratic equation in vertex form, wehre the vertex is (3, -16)

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The total wage bill for hiring 3 students to deliver the catalogues and leaflets will be 3 x £51.30 = £153.90.

Number is an abstract concept used to count, measure and identify a quantity. It is a fundamental part of mathematics, and is also used in many other fields, such as physics and computing. Numbers can represent both discrete, such as the number of people in a room, and continuous, such as the temperature outside. Numbers are also used to represent abstract ideas, such as the amount of money in a bank account.

In order to calculate the minimum number of students needed to deliver the catalogues and leaflets, we need to calculate how many catalogues and leaflets can be delivered in 8 hours by one student.

16 catalogues and 90 leaflets can be delivered in 1 hour by one student. Therefore, 128 catalogues and 720 leaflets can be delivered in 8 hours by one student.

Therefore, the total number of catalogues and leaflets that can be delivered in 8 hours by one student is 848 (128 + 720).

Since the total number of catalogues and leaflets to be delivered is 384 + 1890 = 2274, the minimum number of students required to deliver all the catalogues and leaflets is 3 (2274 / 848 = 2.67).

Therefore, the total wage bill for hiring 3 students to deliver the catalogues and leaflets will be 3 x £51.30 = £153.90.

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The infinite series solution to the boundary value problem is:

[tex](x,t) = \sum Bn sin(n\pi x / 2) e^{(-(n\pi/2)}^2 t)[/tex]

Using the method of separation of variables to derive the infinite series solution for (x). We begin by assuming a separable solution of the form:

(x,t) = X(x)T(t)

Substituting this into the heat equation, we get:

X(x)T'(t) =[tex]2 T(t) (X''(x)/X(x)^2)[/tex]

Dividing both sides by X(x)T(t), we get:

T'(t)/T(t) =[tex]2 X''(x)/X(x)^2[/tex] = -λ

where λ is a constant. This gives us two separate ODEs:

T'(t) + λ T(t) = 0 with boundary conditions T(0) = 0 and T(/2) = 0

and

X''(x) + λ X(x) = 0 with boundary conditions X(0) = 0 and X'(/2) = 0

Solving the first ODE for T(t), we get:

[tex]T(t) = c1 cos(\sqrt(\lambda) t) + c2 sin(\sqrt(\lambda) t)[/tex]

Applying the boundary conditions, we get:

T(0) = 0 => c1 = 0

T(/2) = 0 => c2 [tex]sin(\sqrt(\lambda) (/2))[/tex] = 0

Since [tex]sin(\sqrt(\lambda) (/2))[/tex] ≠ 0, this implies that c2 = 0. Therefore, T(t) = 0, which means that λ must be negative. Let λ =[tex]-p^2[/tex], where p > 0. Then the second ODE becomes:

X''(x) + [tex]p^2[/tex] X(x) = 0 with boundary conditions X(0) = 0 and X'(/2) = 0

The general solution to this ODE is:

X(x) = c3 cos(px) + c4 sin(px)

Applying the boundary conditions, we get:

X(0) = 0 => c3 = 0

X'(/2) = 0 => c4 p cos(p/2) = 0

Since cos(p/2) ≠ 0, this implies that c4 = 0. Therefore, X(x) = 0, which is not a useful solution. To obtain non-trivial solutions, we must have the condition:

p tan(p/2) = 0

This condition has infinitely many solutions, given by:

p = nπ, n = 1, 2, 3, ...

Therefore, the solutions to the ODE are:

Xn(x) = sin(nπ x / 2)

with eigenvalues:

[tex]\lambda n = -(n\pi/2)^2[/tex]

The general solution to the heat equation is then:

[tex](x,t) = \sum Bn sin(n\pi x / 2) e^{(-(n\pi/2)^2 t)}[/tex]

where the coefficients Bn are determined by the initial condition.

This series solution satisfies the boundary conditions, and it can be shown to satisfy the heat equation.

Therefore, the infinite series solution to the boundary value problem is:

[tex](x,t) = \sum Bn sin(n\pi x / 2) e^{(-(n\pi/2)}^2 t)[/tex]

where Bn are constants determined by the initial condition.

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True.

The vector field F(x, y) = yi - xj has a rotational symmetry about the origin. To see this, we can consider the gradient of the scalar potential function U(x, y) = xy/2, which is given by:

∇U = (Ux, Uy) = (y/2, x/2)

We can see that the vector field F(x, y) is the negative of the gradient of U, i.e., F(x, y) = -∇U(x, y), so it has a rotational symmetry about the origin.

The magnitude of the vector F(x, y) is given by |F(x, y)| = [tex]sqrt(x^2 + y^2)[/tex], which is the distance from the origin. Therefore, the flow lines of F(x, y) are concentric circles about the origin.

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The following parts can be answered by the concept of Converges.

A. For the series Σ(7n² + √n - 2) from n=2 to infinity, we compare it to the series Σ(7n²) which diverges since it's a polynomial with a positive degree. Therefore, the original series also diverges.

B. For the series Σ(1/(7n-3)) from n=1 to infinity, we compare it to the series Σ(1/n) which is a harmonic series and diverges. Since 1/(7n-3) ≥ 1/(7n), the original series also diverges.

C. For the series Σ(1/(n^(3/2) × ln²(n))) from n=3 to infinity, we compare it to the series Σ(1/(n^(3/2))). The p-series with p = 3/2 converges (p > 1). Since ln²(n) grows slower than n^(3/2), the original series converges.

D. For the series Σ(sin²(n)/(n² + 5)) from n=1 to infinity, we compare it to the series Σ(1/n²). The p-series with p = 2 converges (p > 1). Since 0 ≤ sin²(n) ≤ 1, the original series converges by direct comparison test.

E. For the series Σ(cos(1/n) / √n) from n=1 to infinity, we compare it to the series Σ(1/√n). The p-series with p = 1/2 diverges (p ≤ 1). Since -1 ≤ cos(1/n) ≤ 1, the original series also diverges by direct comparison test.

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Answer:

p = 1

Step-by-step explanation:

3p = 5 - 2p

3p + 2p = 5

5p = 5

p = 1

The temperature in the city with an elevation of -9m is 7°C.

Temperature is a definitive quantification of the amount of heat or chill precipitating from an item or environment, typically available in Celsius (°C) or Fahrenheit (°F) degrees and on the Kelvin (K) scale.

This absolute temperature scope starts at zero, translating to -273.15°C or -459.67°F when representing all sources of thermal energy's absence. Besides affecting appearance or state of an object, environmental temperatures can also modify physical traits.

Based on the graph, the temperature in the city with an elevation of -9m is 7°C.

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