find the linearization of f(x) at x0. how is it related to the individual linearizations of and at x0?

Answer:

[tex]a. \quad \dfrac{\boxed{1}}{\boxed{3}}} \cdot \dfrac{\boxed{1}}{\boxed{2}}} = \dfrac{\boxed{1}}{\boxed{6}}}\\\\\\\\b. \quad \dfrac{\boxed{1}}{\boxed{3}}} \cdot \dfrac{\boxed{1}}{\boxed{3}}} = \dfrac{\boxed{1}}{\boxed{9}}}\\\\\\\\c. \quad \dfrac{\boxed{21}}{\boxed{26}}} \cdot \dfrac{\boxed{5}}{\boxed{26}}} = \dfrac{\boxed{105}}{\boxed{676}}}\\[/tex]

Step-by-step explanation:

a.

When rolling a die(number cube) the sample space which is the set of all possible outcomes is {1, 2, 3, 4, 5, 6}

The probability of getting any single number on the face is the same = 1/6

For the first cube
P(3) = 1/6 and P(4) = 1/6
P(3 or 4) = P(3) + P(4) = 1/6 + 1/6 = 2/6 = 1/3

For the second cube
P(odd) = P(1 or 3 or 5) = P(1) + P(3) + P(5) = 1/6 + 1/6 + 1/6 = 3/6 = 1/2

So the combined probability that the first cube shows 3 or 4 and the second an odd is given by
1/3 · 1/2 = 1/6

b.
There are three coins a penny, dime and quarter

Probability of selecting a penny = number of pennies/total number of coins = 1/3

Since we are replacing the selected coin for the second draw, the probability of selecting a penny is just the same as before = 1/3

P(selecting 2 pennies with replacement) = 1/3 · 1/3 = 1/9

c.

There are a total of 26 letters in the alphabet
There are 5 vowels in the alphabet: A, E, I, O, U

Therefore there are 26 - 5 = 21 consonants

P(drawing a consonant) = 21/26

P(drawing a vowel) = 5/26

Since we are replacing the first drawn letter, these probabilities do not change with successive draws.

Therefore
P(consonant first draw and vowel second draw)

= P(consonant) · P(vowel)

= 21/26 · 5/26

=105/676

The element at the memory location that is 1 integer behind the memory location pointed to by p2.

(a) *(a1+4) - This expression evaluates to 5. It is equivalent to a1[4].

(b) a1[3] - This expression evaluates to 6, which is the value of the element at index 3 in the array a1.

(c) *p1 - This expression evaluates to 6, which is the value of the element at the memory location pointed to by p1.

(d) *(p1+5) - This expression evaluates to 1, which is the value of the element at the memory location that is 5 integers ahead of the memory location pointed to by p1.

(e) p1[-2] - This expression evaluates to 7, which is the value of the element at the memory location that is 2 integers behind the memory location pointed to by p1.

(f) *(a1+2) - This expression evaluates to 7, which is the value of the element at index 2 in the array a1.

(g) a1[6] - This expression evaluates to 3, which is the value of the element at index 6 in the array a1.

(h) *p2 - This expression evaluates to 7, which is the value of the element at the memory location pointed to by p2.

(i) *(p2+3) - This expression evaluates to 5, which is the value of the element at the memory location that is 3 integers ahead of the memory location pointed to by p2.

(j) p2[-1] - This expression evaluates to 8, which is the value of the element at the memory location that is 1 integer behind the memory location pointed to by p2.

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The given differential equation, y'(t) = 4y e, is separable. and Option A. The solution to the initial value problem is y(t) = e^(4e) is the right answer for the given question.

To determine if the equation is separable, we need to check if we can write the equation in form f(y)dy = g(t)dt. If we rearrange the equation, we get y'(t) = 4y(t)e.

We can write this as y'(t)/y(t) = 4e. Now we can see that we have separated the variables y and t on either side of the equation, so the equation is separable.

To solve the equation, we can integrate both sides with respect to t and y. On the left side, we get ln|y(t)|, and on the right side, we get 4et + C, where C is the constant of integration. Therefore, we have ln|y(t)| = 4et + C.

To find the value of C, we use the initial condition y(0) = 1. Substituting t = 0 and y(t) = 1 into the equation, we get,
ln|1| = 4e(0) + C, so C = ln|1| = 0.

Therefore, Option A. The equation is seperable. The solution to the initial value problem is y(t)=e^4e is the correct answer.

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c) The interest due on January 11th is $66 and the balance of the loan after the January 11th payment is $4,263.

d) The final payment that Peter must make on the due date (interest and principal) is $4,285.

The interest due, balances, and final payments are based on compound interest.

The compound interest system charges interest on both the accumulated interest and principal (balance).

April 15th to October 12th = 180 days

October 13th to January 11th = 90 days

January 12th to February 28th = 47 days

Total number of days for the loan = 317 days

Days in the year = 365 days

Principal = $10,000

Loan period = 317 days

Interest rate = 4%

Balance on October 12th = $10,197 ($10,000 + $10,000 x 4% x 180/365)

Payment on October 12th = $3,500

Balance from October 13th = $6,697 ($10,197 - $3,500)

Balance on January 11th = $6,763 ($6,697 + $66)

Interest = $66 ($6,697 x 4% x 90/365)

Payment on January 11th = $2,500

Balance from January 12th = $4,263 ($6,763 - $2,500)

Final Payment on February 28th = $4,285 ($4,263 + $4,263 x 4% x 47/365)

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Answer:

B

Step-by-step explanation:

I put the equations into math-way and it solved the system of equations. X=10 and Y=14.

10 three-point questions and 14 five-point questions

(a)  The probability of rolling at least one 6 is approximately 0.665, or about 66.5%.

(b)  The probability of rolling 5 different numbers is approximately 0.0772, or about 7.72%.

(a) To calculate the probability of rolling at least one 6 in 6 rolls of a fair die, we can use the complement rule: the probability of the complement (rolling no 6s) is easier to calculate, and then we subtract that from 1.

The probability of rolling no 6s in a single roll is 5/6, so the probability of rolling no 6s in 6 rolls is (5/6)^6.

Therefore,  probability of rolling at least one 6 in 6 rolls is:

1 - (5/6)^6 ≈ 0.665

So the probability of rolling at least one 6 is approximately 0.665, or about 66.5%.

(b) To calculate the probability of rolling 5 different numbers in 6 rolls of a die, we can use the formula for combinations. There are 6 possible numbers that could be rolled first, 5 possible numbers that could be rolled second (since we want 5 different numbers), and so on down to 2 possible numbers that could be rolled fifth.

For the sixth roll, any of the 5 previous numbers would result in 5 different numbers, so there are 5 choices. Therefore, the total number of ways to roll 5 different numbers is:

6 × 5 × 4 × 3 × 2 × 5 = 3600

To find the probability, we divide this by the total number of possible outcomes for rolling a die 6 times, which is 6^6 = 46656. Therefore, the probability of rolling 5 different numbers in 6 rolls of a die is:

3600/46656 ≈ 0.0772

So the probability of rolling 5 different numbers is approximately 0.0772, or about 7.72%.

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The volume of the solid obtained by rotating the region bounded by the curves y = x², y = 0, and x = 1 about the y-axis is π/3 cubic units.

To find the volume of the solid obtained by rotating the region bounded by the curves y = x², y = 0, and x = 1 about the y-axis, we can use the disk method.

The idea behind the disk method is to slice the solid into thin disks perpendicular to the axis of rotation and sum up their volumes. The volume of each disk is the product of its cross-sectional area and its thickness.

In this case, we are rotating about the y-axis, so the cross-sectional area of each disk will be a circle with radius x and area πx². The thickness of each disk will be dx, which represents an infinitesimal slice of the x-axis.

Thus, the volume of each disk is given by:

dV = πx² dx

To find the total volume of the solid, we need to integrate this expression over the range of x from 0 to 1:

V = ∫₀¹ πx² dx

Integrating this expression gives:

V = π/3

Therefore, the volume of the solid obtained by rotating the region bounded by the curves y = x², y = 0, and x = 1 about the y-axis is π/3 cubic units.

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a) The elasticity of the demand function q = 800 - x is -x / (800 - x)².

b) At x = 3, the elasticity of the demand function q = 800 - x is approximately -0.0000465.

(a) To find the elasticity of the demand function q = 800 - x, we first need to calculate the derivative of q with respect to x:

dq/dx = -1

Next, we can use the formula for elasticity:

E = (dq/dx) * (x/q)

Substituting the values of dq/dx and q, we get:

E = (-1) * (x/(800-x))

Simplifying this expression, we get:

E = -x / (800 - x)²

(b) To find the elasticity at x = 3, we substitute x = 3 into the expression we derived for E:

E = -(3) / (800 - 3)² = -0.0000465

Therefore, the elasticity at x = 3 is approximately -0.0000465.

Note that since the elasticity is negative, this indicates that the demand is inelastic, meaning that a change in price will have a relatively small effect on the quantity demanded.

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The four possible times that Car B could take to complete one lap are 2 seconds, 3 seconds, 5 seconds, and 15 seconds.

150 is represented as a factor of 2, 3, 5 and 5. As 150/t is considered as an integer, t should be a divisor of 150. Hence, we can consider the potential values for t which are:

- t=2 seconds (because 150/2 equals to 75, making it an integer)

- t=3 seconds (as 150/3 equates to 50, also forming an integer)

- t=5 seconds (since 150 divided by 5 produces 30 which is another integer)

- t=15 seconds (seeing that when dividing 150 with 15 gives us 10 which is likewise an integer).

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There might be a typo in the interval you provided, as it should be written in ascending order, such as [a, b] with a < b. I'll assume you meant the interval [2, 14]. Now, let's analyze the function f(x) = 1/ln(3x) and find its absolute maximum and minimum on the interval [2, 14].

Step 1: Find the critical points
To find the critical points, we need to find the derivative of the function f(x) and set it equal to zero.

f(x) = 1/ln(3x)
Using the chain rule, we find the derivative:
f'(x) = -1/(ln(3x))^2 * (1/x)

Now, we need to find when f'(x) = 0 or when f'(x) is undefined. Since the derivative is a fraction, it is never equal to zero. However, the function is undefined when the denominator is zero. In this case, there's no value of x in the interval [2, 14] that makes the denominator zero.

Step 2: Analyze the endpoints
Since there are no critical points within the interval, we only need to check the values of the function at the endpoints.

f(2) = 1/ln(6)
f(14) = 1/ln(42)

Step 3: Determine the absolute maximum and minimum
Compare the values at the endpoints:
f(2) > f(14) as ln(6) < ln(42)

Thus, the function f(x) has an absolute maximum at x = 2 and an absolute minimum at x = 14 within the interval [2, 14].

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The value of the missing angle x is 114 degrees

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

The kite

The value of x can be calculated using the following equation

x + 78 + 78 + 90 = 360 ---- sum of angles in a quadrilateral

When the like terms are evaluated, we have

x + 246 = 360

So, we have

x = 114

Hence, the value of x is 114 degrees

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The probability that the weight of 36 babies born at the hospital will be between 7.4 and 6.5 pounds is approximately 0.9089 or 90.89%.

a) The values of the parameters are:

Mean (μ) = 7.3 pounds

Standard deviation (σ) = 0.65 pounds

b) As we don't have the sample data, we can't calculate the sample mean (μx) and sample standard deviation (σx or s).

c) To find the probability that the weight of 36 babies will be between 7.4 and 6.5 pounds, we need to use the central limit theorem as the sample size is large enough (n=36).

First, we need to standardize the values using the formula:

z = (x - μ) / (σ / sqrt(n))

where x is the value we want to find the probability for, μ and σ are the population mean and standard deviation respectively, and n is the sample size.

For 7.4 pounds:

z1 = (7.4 - 7.3) / (0.65 / sqrt(36)) = 1.38

For 6.5 pounds:

z2 = (6.5 - 7.3) / (0.65 / sqrt(36)) = -2.46

Next, we need to find the probability of z-values using a standard normal distribution table or calculator.

Using the standard normal distribution table, the probability of z1 = 1.38 is 0.9157, and the probability of z2 = -2.46 is 0.0068.

Finally, we can find the probability that the weight of 36 babies will be between 7.4 and 6.5 pounds by subtracting the probability of z2 from the probability of z1:

P(6.5 ≤ x ≤ 7.4) = P(z2 ≤ z ≤ z1) = P(z ≤ 1.38) - P(z ≤ -2.46) = 0.9157 - 0.0068 = 0.9089

Therefore, the probability that the weight of 36 babies born at the hospital will be between 7.4 and 6.5 pounds is approximately 0.9089 or 90.89%.

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The mean of the variable given in the question is Option A. 41.6.

To find the mean of the variable, we need to multiply each range of weekly hours worked by its corresponding probability, then sum all of the results.

The calculations are as follows:

(23 * 0.08) + (36 * 0.10) + (43 * 0.74) + (54 * 0.08) = 41.6

Therefore, the mean of the variable is Option A. 41.6.

In this case, the probabilities for each range of weekly hours worked to represent the likelihood of an employee working within that range. For example, the probability of an employee working between 41-50 hours is 0.74, which is quite high compared to the other ranges. As a result, this range has a larger impact on the overall mean of the variable.

It is important to calculate the mean of a variable as it helps in understanding the central tendency of a distribution. In this case, the mean helps us to understand the average number of weekly hours worked by employees, which can be useful in making decisions related to employee scheduling, workload management, and compensation.

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Answer:

36.9 degrees

Step-by-step explanation:

Cos(x) = adjacent/hypoteneuse

cos(x) = 12/15

cos(x) = 4/5

x = cos^-1(4/5)

= 36.869898 degrees

= 36.9 degrees

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We would need to collect at least 268 service times to return a 95% confidence interval whose width is at most 20 seconds.

(a) We can use the formula for a confidence interval for the mean of a normal distribution with known standard deviation:

CI = X ± z*(σ/√n)

where X is the sample mean, σ is the population standard deviation (in this case, the sample standard deviation is used as an estimate of the population standard deviation since it is known), n is the sample size, and z is the critical value from the standard normal distribution for the desired level of confidence.

For a 95% confidence interval, the critical value is z = 1.96. Plugging in the values, we get:

CI = 8 ± 1.96*(7/√100) = 8 ± 1.372

Therefore, a 95% confidence interval for the mean service time is (6.63, 9.37) minutes.

(b) To find the sample size required to return a 95% confidence interval whose width is at most 20 seconds, we can use the formula for the margin of error:

ME = z*(σ/√n)

where ME is the maximum allowed margin of error (which is 1/3 minute or 0.33 minutes in this case).

Solving for n, we get:

n = (z*σ/ME)^2

For a 95% confidence interval, the critical value is z = 1.96. Plugging in the values, we get:

n = (1.96*7/0.33)^2 ≈ 267.17

Therefore, we would need to collect at least 268 service times to return a 95% confidence interval whose width is at most 20 seconds.

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Since f(n) is defined using a primitive recursive function (exponentiation) and follows a recursive structure, we can conclude that f(n) is primitive recursive.

To show that the function f(n) is primitive recursive, we need to demonstrate that it can be defined using basic primitive recursive functions (zero, successor, and projection functions) and can be composed or recursed using only primitive recursive function schemes.

Given the definition of f(n), we can write it as:
- f(0) = 0
- f(1) = 1
- f(2) = 2²
- f(3) = (3³)³
- ...

We can observe that f(n) is defined as a stack of exponentiation operations with the base and the exponent both being n. We can use the following recursive formula to define f(n):

- f(0) = 0


We know that exponentiation is primitive recursive, as it can be defined using multiplication, which is also primitive recursive. We can define exponentiation recursively as:

- exp(a, 0) = 1
- exp(a, b) = a * exp(a, b-1) for b > 0

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The autonomous differential equation dp/dt = p(a + bp) has a solution that is increasing if -a/b < P < 0 (option c). This is because the rate of change of P (dp/dt) is positive when -a/b < P < 0, leading to an increasing solution.

The given differential equation is autonomous, which means it does not explicitly depend on time 't'. We can find the equilibrium solutions by setting dp/dt = 0. So, we have p(a+bp) = 0, which gives p = 0 and p = -a/b as equilibrium solutions.

Now, we can analyze the behavior of the solution by considering the sign of dp/dt for different values of p.

For p < -a/b, we have a+bp < 0, which implies dp/dt < 0. So, the solution is decreasing in this region.

For -a/b < p < 0, we have a+bp > 0, which implies dp/dt > 0. So, the solution is increasing in this region.

For p > 0, we have a+bp > 0, which implies dp/dt > 0. So, the solution is increasing in this region.

Therefore, the correct answer is (c) increasing if -a/b < p < 0.

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The correct answer is: t = 2.293, p-value < 0.01, reject the null hypothesis, and conclude that the mean weight of the citizens has increased.

To test the hypothesis, we need to use a one-sample t-test since we are comparing the mean weight difference of the sample to zero (no change). The sample mean weight difference is 3.51, and the sample standard deviation is 7.44. Since we do not know the population standard deviation, we use the t-distribution.

The null hypothesis is that the mean weight difference is equal to zero (no change), and the alternative hypothesis is that the mean weight difference is greater than zero (increase in weight).

Using a significance level of 0.01, the critical t-value for a one-tailed test with 40 degrees of freedom is 2.704. The calculated t-value is (3.51-0)/(7.44/sqrt(41)) = 2.293. The p-value associated with this t-value is less than 0.01 (found using a t-distribution table or calculator).

Since the p-value is less than the significance level, we reject the null hypothesis and conclude that the mean weight of the citizens of Pawnee significantly increased after drinking the new candy bar milkshake for a week. Therefore, the correct answer is: t = 2.293, p-value < 0.01, reject the null hypothesis, and conclude that the mean weight of the citizens has increased.

The 95% confidence interval for the mean difference in weight (1.163 , 5.857) also supports this conclusion since it does not include zero.

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The line passes through the point (4, 5), has its equation of the line to be y = 5/4x

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

Point, (x, y) = (4, 5)

The equation of a straight line is represented as

y = mx + c

Assuming c = 0,

So, we have

y = mx

This means taht

5 = 4m

So, we have

m = 5/4

Recall that

y = mx

So, we have

y = 5/4x

Hence, the equation of the line is y = 5/4x

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We can use the Taylor series formula to find the fourth-degree Taylor polynomial for f about x = 2.  The answer is d. 18

[tex]f(2) = f(2) = 405[/tex]

[tex]f'(2) = 29[/tex]

[tex]f''(2) = 28[/tex]

[tex]f'''(2) = 168[/tex]

The fourth-degree Taylor polynomial is:

P4(x) [tex]= f(2) + f'(2)(x-2) + (f''(2)/2!)(x-2)^2 + (f'''(2)/3!)(x-2)^3 + (f''''(c)/4!)(x-2)x^{2}[/tex]^4

where c is some number between 2 and x.

Using the given third derivative, we can find the fourth derivative:

[tex]f''''(x) = (4x + 1) ^6 * 4[/tex]

Plugging in x = c, we have:[tex]f''''(c) = (4c + 1) ^6 * 4[/tex]

Therefore, the coefficient of [tex](x-2)^4[/tex] in the fourth-degree Taylor polynomial is:[tex](f''''(c)/4!) = [(4c + 1) ^6 * 4] / 24[/tex]

We need to evaluate this at c = 2:[tex][(4c + 1) ^6 * 4] / 24 = [(4*2 + 1) ^6 * 4] / 24 = 18[/tex]

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Answer:

Asiah it’s ego the answer is D

Step-by-step explanation:

I got it right

L ms Brenda

Answer: The answer is Sample D

Step-by-step explanation:

Geometric mean (G(n)): It is defined as the square root of the product of all the positive factors of n. In other words, G(n) = √(f1 * f2 * f3 * ... * fn), where fi represents the positive factors of n.

Arithmetic mean (A(n)): It is defined as the sum of all the positive factors of n divided by the total number of factors. In other words, A(n) = (f1 + f2 + f3 + ... + fn) / k, where fi represents the positive factors of n and k represents the total number of factors.

To determine when G(n) is an integer, we need to find values of n for which all the factors of n can be paired such that each pair multiplies to an integer.

For example, if n has four factors (f1, f2, f3, f4), and we can pair them as (f1 * f4) and (f2 * f3), such that both products are integers, then G(n) would be an integer.

This condition can be satisfied when n is a perfect square, as each factor will have an even count and can be paired.

To find values of n for which A(n) is an integer, we need to determine when the sum of all the factors of n is divisible by the total number of factors (k).

This condition can be satisfied when n has an odd number of factors, as the sum of factors will always be an integer and can be divided evenly by k.

To determine when A(n) is equal to 6 or 124, we need to find values of n for which the sum of all the factors of n is equal to 6k or 124k, where k is a positive integer.

This condition can be satisfied when n is a multiple of 6 or 124, respectively.

During the process of solving these problems, interesting conjectures may arise, such as the conjecture that G(n) is an integer if and only if n is a perfect square, and that A(n) is an integer if and only if n has an odd number of factors.

These conjectures can be proved using mathematical reasoning and properties of factors and means.

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a) There are 3ⁿ ternary digit strings with exactly n digits.

b) There is only 1 string with n digits and n 2's.

c) There are n ternary digit strings with n digits and n-1 2's.



a) For each digit in a ternary digit string, there are 3 possible values (0, 1, or 2). With n digits, you have 3 choices for each digit, giving 3ⁿ total possible strings.

b) If a string has n digits and all are 2's, there's only one possible string, which is '222...2' (with n 2's).

c) If a string has n digits and n-1 of them are 2's, there's one remaining digit that can be 0 or 1. There are n positions this non-2 digit can be in, resulting in n possible strings.

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The polygon is a parallelogram and rectangle

The polygon is a parallelogram , quadrilateral and a rectangle

The sum of angles of a parallelogram is 360°

The four types are parallelograms, squares, rectangles, and rhombuses

Opposite sides are parallel

Opposite sides are congruent

Opposite angles are congruent.

Same-Side interior angles (consecutive angles) are supplementary

Each diagonal of a parallelogram separates it into two congruent triangles

The diagonals of a parallelogram bisect each other

Given data ,

The polygon is represented as OPQR

Now , the number of sides of the polygon = 4

So , it is a quadrilateral

Now , the measure of sides of the quadrilateral are

OP = 20 units

PQ = 40 units

QR = 20 units

RO = 40 units

So, it has 2 congruent sides and they are parallel in shape

So, it is a parallelogram

Now, the 2 opposite pairs of sides of the parallelogram are equal

So, it is a rectangle

Hence, the polygon is a parallelogram and rectangle

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a) The 20th percentile is 21.4.

b) The 40th percentile is 31.

c) The 70th percentile is 66.4.

To determine the percentile, we need to first arrange the data in order from smallest to largest

11, 24, 28, 33, 37, 46, 64, 72

a) To find the 20th percentile, we need to first determine the rank of this percentile.

The formula for rank is given by:

Rank = (percentile/100) x (number of observations + 1)

So for the 20th percentile, we have:

Rank = (20/100) x (8+1) = 1.8

This tells us that the 20th percentile lies between the 1st and 2nd observations. To find the actual value, we can use linear interpolation

Value = 11 + 0.8 x (24 - 11) = 11 + 0.8 x 13 = 21.4

Therefore, the 20th percentile is 21.4.

b) To find the 40th percentile, we use the same formula:

Rank = (40/100) x (8+1) = 3.6

This tells us that the 40th percentile lies between the 3rd and 4th observations. Using linear interpolation:

Value = 28 + 0.6 x (33 - 28) = 28 + 0.6 x 5 = 31

Therefore, the 40th percentile is 31.

c) To find the 70th percentile, we use the same formula:

Rank = (70/100) x (8+1) = 6.3

This tells us that the 70th percentile lies between the 6th and 7th observations. Using linear interpolation:

Value = 64 + 0.3 x (72 - 64) = 64 + 0.3 x 8 = 66.4

Therefore, the 70th percentile is 66.4.

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A function that would match the graph shown is f(x) = -5(x + 4)(x - 1)

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

The graph

The zeros of the graph are

x = -4; multiplicity 2

x = 1; multiplicity 1

So, we have

f(x) = a(x + 4)^2(x - 1)

The function intersects with the y-axis at y = 80

So, we have

a(0 + 4)^2(0 - 1) = 80

Evaluate

x = -5

So, we have

f(x) = -5(x + 4)(x - 1)

Hence, the equation is f(x) = -5(x + 4)(x - 1)

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Answer:

  x ≈ 2.467

Step-by-step explanation:

You want the solution to 5^(3x -2) = 7^(x +2).

Logarithms turn an exponential problem into a linear problem. Taking logs, we have ...

  (3x -2)·log(5) = (x +2)·log(7)

  x(3·log(5) -log(7)) = 2(log(7) +log(5)) . . . . . separate variables and constants

  x = log(35²)/log(5³/7) = log(1225)/log(125/7) . . . . divide by x-coefficient

  x ≈ 2.46693

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Additional comment

A graphing calculator can solve this nicely as the x-intercept of the function f(x) = 5^(3x-2) -7^(x+2). Newton's method iteration is easily performed to refine the solution to calculator precision.

Answer:

y= 0 , 2 , 4

Step-by-step explanation:

y=x+2

substitute the value for x

y=-2+2

y=0

y=0+2

y=2

y=2+2

y=4

Answer:

Step-by-step explanation:

If 60% of a number is 80, find 6% of that number.