i need answer please

Answer:

No solution.

Step-by-step explanation:

Two same things can't equal different things.

Answer:

I would sat b

Step-by-step explanation:

Answer:

4.11

Step-by-step explanation:

What is 37/9 as a decimal?

4.111 (repeating 1)

Answer:

False, 82 inches is not greater than 5 feet and 10 inches

Step-by-step explanation:

1 feet = 12 inches

5x12=60+10=70

82 is greater than 70.

the percentage of information remembered at the moment it is first learned is 100%.

In mathematics, a function from a set X to a set Y assigns to each element of X exactly one element of Y. The set X is called the domain of the function and the set Y is called the codomain of the function.

Functions were originally the idealization of how a varying quantity depends on another quantity. For example, the position of a planet is a function of time. Historically, the concept was elaborated with the infinitesimal calculus at the end of the 17th century, and, until the 19th century, the functions that were considered were differentiable (that is, they had a high degree of regularity). The concept of a function was formalized at the end of the 19th century in terms of set theory, and this greatly enlarged the domains of application of the concept.

Your question is incomplete but most probably your full question was:

In college, we study large volumes of information - information that, unfortunately, we do not often retain for very long. The function f(x) = 80e-0.5x + 20

describes the percentage of Q. information, p, that a particular person remembers x weeks after learning the information. Substitute 0 for x and find the percentage of information remembered at the moment it is first learned.

a 100%

b 95%

c 90%

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A subset of a statistical population called a simple random sample is one in which each member has an equal chance of being chosen.

What is Probability sampling?

A random/ arbitrary sample is similar to a straightforward arbitrary sample. The distinction between the two is that any object in the population has an equal probability of being named with a simple arbitrary slice. Every item doesn't inescapably have an equal chance of being chosen in an arbitrary slice.

A random/ arbitrary sample is one that was named at arbitrary. It should really be labeled as a sample that was chosen at arbitrary. In order to help bias and other negative goods, arbitrary samples are employed. In fact, it's not as easy as it seems to opt for a arbitrary sample that involves further than simply opting for 100 people from a population of 1000. Make sure your arbitrary sample is actually random/ arbitrary before using it.

The liability of a straightforward random/ arbitrary slice, a subset of a statistical population called a simple random/ arbitrary sample is one in which each member has an equal chance of being chosen. A straightforward arbitrary sample is intended to offer an objective definition of a group.

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The classical errors-in-variables (CEV) assumptions require that the measurement error in tv hours is not related to the true value of television viewing.In other words, the error should be random and not correlated with the actual amount of time spent watching TV.

Additionally, the CEV assumptions require that the measurement error has a mean of zero and a constant variance. Whether or not the CEV assumptions are likely to hold in this application depends on several factors. One important consideration is the accuracy of the survey instrument used to collect data on tv hours.

If the survey is poorly designed or administered, it may introduce systematic measurement error that is correlated with the true value of television viewing.

Another important factor is the population being surveyed. If the population is highly diverse with respect to television viewing habits, it may be difficult to ensure that the CEV assumptions hold for all subgroups.

Overall, while it is possible that the CEV assumptions hold in this application, it is also possible that they do not. Researchers should carefully consider the potential sources of measurement error and take steps to minimize them if possible.

Additionally, sensitivity analyses can be conducted to explore the robustness of study results to violations of the CEV assumptions.

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Answer:

I think it's B not sure though.

According to Shelley Taylor, the female response to stress is to "tend and befriend," whereas the male response more often is "fight or flight."

Let's discuss it further below.

Here is an example of a possible answer to the given student question:

According to Shelley Taylor, the female response to stress is to "tend and befriend," whereas the male response more often is "fight or flight."

This theory suggests that in response to stress, females are more likely to take care of others and seek social support, while males are more likely to engage in aggressive or avoidant behaviors.

This theory has been supported by a variety of studies and has helped shed light on some of the gender differences in stress responses.

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The outstanding balance right after the 12th payment has been made is approximately $17,752.60.

To find the loan amount L, we can calculate the present value of the future payments using the given interest rate and payment schedule.

First, let's calculate the present value of the first 16 payments of $1,000 each. These payments occur at the end of each month. We'll use the formula for the present value of an ordinary annuity:

\(PV = P * [1 - (1 + r)^(-n)] / r\)

Where:

PV = Present value

P = Payment amount per period

r = Interest rate per period

n = Number of periods

Using the given interest rate of 12% per year compounded monthly (1% per month) and 16 payments, we have:

PV1 = $1,000 * [1 - (1 + 0.01)^(-16)] / 0.01

Calculating this expression, we find that PV1 ≈ $12,983.67.

Next, let's calculate the present value of the final 8 payments of $2,000 each. Again, using the same formula, but with 8 payments, we have:

PV2 = $\(2,000 * [1 - (1 + 0.01)^(-8)] / 0.01\)

Calculating this expression, we find that PV2 ≈ $14,148.70.

The loan amount L is the sum of the present values of the two sets of payments:

L = PV1 + PV2

≈ $12,983.67 + $14,148.70

≈ $27,132.37

Therefore, the loan amount L is approximately $27,132.37.

Next, to find the outstanding balance right after the 12th payment has been made, we can calculate the present value of the remaining payments. Since 12 payments have already been made, there are 12 remaining payments.

Using the same formula, but with 12 payments and the loan amount L, we can calculate the present value of the remaining payments:

Outstanding Balance = L * [1 - (1 + 0.01)^(-12)] / 0.01

Substituting the value of L we found earlier, we have:

Outstanding Balance ≈ $27,132.37 * [1 - (1 + 0.01)^(-12)] / 0.01

Calculating this expression, we find that the outstanding balance right after the 12th payment has been made is approximately $17,752.60.

Therefore, the outstanding balance right after the 12th payment has been made is approximately $17,752.60.

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The economist can conclude that the mean FICO score is less than 720 with a 95% confidence level.

To answer this question, we can use a one-sample t-test with a significance level of α=0.05.

First, we need to calculate the t-statistic:

t = (sample mean - hypothesized mean) / (standard deviation / √(sample size))

t = (695 - 720) / (65 / sqrt(60))
t = -2.81

Next, we need to find the critical t-value using a t-distribution table with 59 degrees of freedom (sample size - 1) and a significance level of α=0.05.

The critical t-value is -1.67 (one-tailed test).

Since the calculated t-statistic (-2.81) is less than the critical t-value (-1.67), we can reject the null hypothesis and conclude that the mean FICO score is significantly lower than 720. In other words, based on the sample data, the economist can conclude that the mean FICO score is less than 720 with a 95% confidence level.

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Answer:

x=9

Step-by-step explanation:

13x-32 and 7x+22 are equal to each other (angles) so

13x-32=7x+22

13x-7x=22+32

6x=54

x=54/6

x=9

Answer:

If a line has slope =m

then the slope of a line perpendicular to it is

(

−

1

m

)

Rewrite

5

x

+

3

y

=

8

in a slope-offset format

y

=

−

5

3

x

+

8

3

So the given equation has a slope of

(

−

5

3

)

and a line perpendicular to it has a slope of

(

3

5

)

Step-by-step explanation:

Answer:

2 + (3/4)

Step-by-step explanation:

4 + (2/4) - (1 + (3/4))

3 + (2/4) - (3/4)

3 - (1/4)

2 + (3/4)

Answer:

2 and 3/4

Step-by-step explanation:

well start with 4 2/4 and turn it into 18/4 then take 1 3/4 and turn it into 7/4

18/4-7/4=11/4

11/4 is equal to 2 3/4

Answer:

∠ A = 50°

Step-by-step explanation:

The angle adjacent to 145° inside the triangle is

180° - 145° = 35°

The exterior angle of a triangle is equal to the sum of the 2 opposite interior angles.

85° is an exterior angle of the triangle , then

∠ A + 35° = 85 ( subtract 35° from both sides )

∠ A = 50°

Answer:

4x-1=1/2(10x-20)

8x-2=10x-20

-2x=-18

X=9

Answer:

We need to find the number of points of intersection between the line with equation y = -3/4x + 25/4 and the circle. The equation of the circle is not given, so we cannot directly solve for the intersection points. However, we can use the fact that the intersection points must satisfy both the equation of the line and the equation of the circle.

Let (x, y) be a point on the circle. Then the coordinates satisfy the equation of the circle, which we will assume is (x - a)^2 + (y - b)^2 = r^2, where (a, b) is the center of the circle and r is the radius. Substituting y = -3/4x + 25/4, we get:

(x - a)^2 + (-3/4x + 25/4 - b)^2 = r^2

This is a quadratic equation in x, which we can expand and simplify:

(x^2 - 2ax + a^2) + (-3/2)x^2 + (15/2)x - 3bx + (625/16) + b^2 - (25/2)b + (625/16) - r^2 = 0

Simplifying further, we get:

(-5/2)x^2 + (-2a - 3b + 15/2)x + (2a^2 - 25/2b + 125/8 - r^2) = 0

This is a quadratic equation in x, with coefficients that depend on the center and radius of the circle. We can use the quadratic formula to solve for x, and then substitute into y = -3/4x + 25/4 to get the corresponding value of y.

The discriminant of the quadratic equation is:

(-2a - 3b + 15/2)^2 - 4(-5/2)(2a^2 - 25/2b + 125/8 - r^2)

Simplifying and factoring, we get:

(4a + 6b - 15)^2 - 25(4a^2 - 50b + 250/8 - 2r^2)

This is a quadratic expression in b, which tells us whether the equation has real solutions (i.e., whether the line intersects the circle). If the discriminant is positive, then the equation has two real solutions, which means the line intersects the circle at two points. If the discriminant is zero, then the equation has one real solution, which means the line is tangent to the circle. If the discriminant is negative, then the equation has no real solutions, which means the line does not intersect the circle.

Without knowing the equation of the circle, we cannot determine the discriminant and therefore the number of intersection points. Therefore, the answer is D: "There is not enough information to determine the number of points of intersection."

Step-by-step explanation:

The minimum weight a bag of dog food could be and remain in the top 10% of all bags filled is 32.0625 kilograms.

To calculate the minimum weight a bag of dog food could be and remain in the top 10% of all bags filled, we need to first determine the z-score at which 90% of the bags are below. To do this, we use the z-score formula to calculate the z-score where 90% of the bags are at or below a certain weight. The z-score formula is z = (x - μ) / σ, where x is the value, μ is the population mean, and σ is the population standard deviation. In this case, the population mean is 30 kilograms and the population standard deviation is 1.25 kilograms. Using the z-score formula, we get a z-score of 1.6. Then, using the inverse z-score formula, we can calculate the minimum weight of a bag of dog food to be in the top 10%: x = μ + (z * σ), where x is the value, μ is the population mean, z is the z-score, and σ is the population standard deviation. In this case, x = 30 + (1.6 * 1.25), which equals 32.0625 kilograms. Therefore, the minimum weight for a bag of dog food

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It  simplified to 57.1. Hence, the Mean of the given data set is 57.1.

Mean of the data set is: 54.9

Solution:Given data set is89,91,55,7,20,99,25,81,19,82,60

To find the Mean, we need to sum up all the values in the data set and divide the sum by the number of values in the data set.

Adding all the values in the given data set, we get:89+91+55+7+20+99+25+81+19+82+60 = 628

Therefore, the sum of values in the data set is 628.There are total 11 values in the given data set.

So, Mean of the given data set = Sum of values / Number of values

= 628/11= 57.09

So, the Mean of the given data set is 57.1.

Therefore, the Mean of the given data set is 57.1. The mean of the given data set is calculated by adding up all the values in the data set and dividing it by the number of values in the data set. In this case, the sum of the values in the given data set is 628 and there are total 11 values in the data set. So, the mean of the data set is calculated by:

Mean of data set = Sum of values / Number of values

= 628/11= 57.09.

This can be simplified to 57.1. Hence, the Mean of the given data set is 57.1.

The Mean of the given data set is 57.1.

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Answer:

B.

Step-by-step explanation:

f(x) = 2^0 + 4 = 0 + 4 = 4

f(x) = 2^3 + 4 = 8 + 4 = 12

f(x) = 2^7 + 4 = 128 + 4 = 132

Answer:

5656 m^3

Step-by-step explanation:

Volume of a cylinder can be calculated using below formula

V = πr²h

Where

h= height =18m

r= radius= radius = 10m

If we substitute the values we have

V = π × (10)²× 18

= 5655.6 m^3

= 5656 m^3

Answer: 5654.9

Step-by-step explanation:

Answer: D) phone calls made on a landline

More and more people are using cellphones, because of the convenience of having your phone with you at all times. From an economical standpoint, it doesn't make sense to pay for both a cell phone and a landline (especially if your budget is thin). So many people have decided to drop having a landline all together. The less people using a landline produces a negative downward trend, which is why we have negative linear correlation.

Alex's statement that it is more likely to roll an even number on the second number cube if he rolls an odd number on the first number cube is not correct.

The probability of rolling an even number on the second number cube is the same regardless of whether an odd or even number is rolled on the first number cube.

Each number cube has 6 faces, and 3 of those faces are even numbers (2, 4, and 6).

So the probability of rolling an even number on a single number cube is 3/6 or 1/2.

This probability does not change based on the result of the roll on the other number cube.

Hence, No, Alex is not correct.

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Answer:

3, 4 and 5

Step-by-step explanation:

Finding BC :

Now if the triangles are similar their sides in the same proportion. And as you can tell they are slightly smaller. Hence, to find the sides, divide the given sides by 2.

Answer:

As x approaches 6:

\( \frac{6 - x}{ {x}^{2} - 36 } = - \frac{x - 6}{(x - 6)(x + 6)} = - \frac{1}{x + 6} = - \frac{1}{6 + 6} = - \frac{1}{12} \)

The limit of the given function as x approaches 6 is -1/12. This is achieved by factoring and revising the original function, and then substituting into the revised function.

The student is asking for the limit of the function (6-x) / (x²-36) as x approaches 6. In mathematics, this is a problem of calculus and specifically involves limits. Let's solve this by first factoring the denominator to get (6-x) / ((x-6)(x+6))

By realizing we can revise the numerator as -(x-6), we make it obvious that the limit can be directly computed by substituting x=6 after canceling out the (x-6) terms. The result is -1/12, therefore the limit of the function as x approaches 6 is -1/12.

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The probability of finding a Type l error is whatever the researcher decides to set the beta is False.

The probability of a Type I error (alpha) is determined by the researcher, not the probability of a Type II error (beta). The researcher sets the significance level (alpha) before conducting a hypothesis test, which represents the maximum acceptable probability of rejecting the null hypothesis when it is actually true.

The choice of alpha is typically based on the desired level of confidence or the balance between Type I and Type II errors. Beta, on the other hand, is the probability of a Type II error, which depends on factors such as the sample size, effect size, and statistical power of the test.

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Answer:

-10x

Step-by-step explanation:

-2x-4=-6x

-4-6x = -10x

Answer:

x = -2

Step-by-step explanation:

To solve for x:

Therefore, x equals -2.

To simplify the equation:

Answer:

\({ \tt{ {x}^{2} - \frac{1}{ {x}^{2} } }} \\ = { \tt{ {(2 + \sqrt{5} )}^{2} - \frac{1}{ {(2 + \sqrt{5}) }^{2} } }} \\ = { \tt{ \frac{(2 + \sqrt{5} ) {}^{4} - 1}{ {(2 + \sqrt{5} )}^{2} } }} \\ = { \tt{ \frac{(9 + 4 \sqrt{5}) {}^{2} }{ {(9 + 4\sqrt{5}) }}}} \\ = { \tt{9 + 4 \sqrt{5} }}\)

Answer:

\(8\sqrt{5}\)

Step-by-step explanation:

\(x = 2 + \sqrt{5}\\\\ x^{2} = (2+ \sqrt{5})^{2} \\\\ \ \ \ \ = 2^{2}+2* \sqrt{5}*2+( \sqrt{5})^{2}\\\\\)

 \(= 4 + 4 \sqrt{5}+5\\\\= 9+4 \sqrt{5}\)

\(\frac{1}{x^{2}}=\frac{1}{9+4\sqrt{5}}\\\\=\frac{1*(9-4\sqrt{5}}{(9+4\sqrt{5})(9-4\sqrt{5})}\\\\=\frac{9-4\sqrt{5}}{9^{2}-(4\sqrt{5})^{2}}\\\\=\frac{9-4\sqrt{5}}{81-4^{2}(\sqrt{5})^{2}}\\\\=\frac{9-4\sqrt{5}}{81-16*5}\\\\=\frac{9-4\sqrt{5}}{81-80}\\\\=\frac{9-4\sqrt{5}}{1}\\\\=9-4\sqrt{5}\)

\(x^{2}-\frac{1}{x^{2}}= 9 + 4\sqrt{5} -(9 - 4\sqrt{5})\\\\\)

            \(= 9 + 4\sqrt{5} - 9 + 4\sqrt{5}\\\\= 9 - 9 + 4\sqrt{5} + 4\sqrt{5}\\\\= 8\sqrt{5}\)

the sample data supports the claim that the politician's chance of being elected is less than 70%.

To test whether the politician's claim is valid, we can perform a hypothesis test using the null hypothesis that the true probability of the politician being elected is 0.7 and the alternative hypothesis that the true probability is less than 0.7.

Let p be the true probability of the politician being elected. We have:

Null hypothesis: H 0 : p = 0.7

Alternative hypothesis: H a : p < 0.7 (one-tailed test with alpha = 0.05)

We can use the sample proportion, denoted by p, to estimate the true proportion p. The test statistic for testing the above hypotheses is given by:

z = (p - p) / √(p×(1-p)/n)

where n = 500 is the sample size. Under the null hypothesis, the test statistic follows a standard normal distribution. Using the given sample proportion p = 0.6, we can compute the test statistic as follows:

z = (0.6 - 0.7) / √(0.7×(1-0.7)/500) = -3.05

The corresponding p-value for this test statistic is P(Z < -3.05) = 0.0012 (using a standard normal distribution table or calculator).

Since the p-value (0.0012) is less than the significance level (0.05), we reject the null hypothesis and conclude that there is sufficient evidence to suggest that the true probability of the politician being elected is less than 0.7. In other words, the sample data supports the claim that the politician's chance of being elected is less than 70%.

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