PLEASE HELP ON THE SECOND QUESTION!!!!!

Answer:

A

Step-by-step explanation:

it reflects over the y axis

False, As the sample size is increased, the standard deviation of a sampling distribution of the sample's mean drops.

The term "standard error" also refers to the sample mean's standard deviation. The high dimensionality theorem establishes that as sample size increases, the sample mean's sampling distribution becomes more or less normal.

Using the formula below, the sample mean's standard deviation is determined.

σ ÷ √n

where n is the sample size and would be the population standard deviation.

As the denominator, or n, increases, the standard variance of the sample average would also decrease, as shown by the aforementioned calculation.

It follows that the standard deviation of a sample's average decreases as the sample size grows.

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Answer: you are looking for the x value

Step-by-step explanation: the domain is the answer on the x intercept

Answer:

1. P = 125 + 50w

2. I can't make a graph on your image, (since there are no increments) but the image attached is an image of a graph on desmos.

3. The y intercept represents the original 125 pounds of aluminum cans he starts with, and the slope represents the aluminum cans he collects.

Step-by-step explanation:

Answer:

11a + 3b

Step-by-step explanation: add like terms

New York had the larger population with 1.9 x 10⁷ people. The correct option is B.

To compare the populations of the states, we need to convert all the populations to the same unit of measurement. In this case, all the populations are given in terms of millions (10⁶).

We can see that New York's population is 1.9 x 10⁷, which means 19 million people. Georgia's population is given as 9.6 x 10⁶, which is 9.6 million people. Comparing these two values, it is evident that New York has a larger population than Georgia.

Check the populations of the other states:

Alaska: 7.1 x 10⁵ = 0.71 million people

Wyoming: 5.6 x 10⁵ = 0.56 million people

Idaho: 1.5 x 10⁶ = 1.5 million people

New York's population of 19 million is much larger than any of the other states listed, making it the state with the largest population among the options provided. The correct option is B.

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Complete question:

Based on the 2010 census, the population of Georgia was 9.6 x 10^6 people. Which state had a larger population? A. Alaska: 7.1 x 10^5 B. New York: 1.9 x 10^7 C. Wyoming: 5.6 x 10^5 D. Idaho: 1.5 x 10^6

The answer is A. The normal distribution in its standardized form has a mean of 0 and a standard deviation of 1. This means that the distribution is centered around 0, and the spread of the data is determined by the standard deviation of 1. This is useful in statistical analysis because it allows us to compare data from different distributions on a standardized scale.

The normal distribution is a continuous probability distribution that is often used in statistical analysis. It is characterized by a bell-shaped curve and is symmetrical around its mean. In its standardized form, the normal distribution has been transformed to have a mean of 0 and a standard deviation of 1. This transformation is achieved by subtracting the mean of the distribution from each data point and dividing by the standard deviation. This standardization allows us to compare data from different normal distributions on a standardized scale.

The normal distribution has many properties that make it useful in statistical analysis. It is often used as a model for many real-world phenomena, such as the distribution of human height, IQ scores, and many others. The normal distribution is also useful because it is well understood and has many mathematical properties that make it easy to work with.

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Answer:

1.8

Step-by-step explanation:

Slope: 1.8

Equation of the line: y=1.8x-2.6

Answer:

x = 35

Step-by-step explanation:

5 x 7 = 35

Answer: 35

Step-by-step explanation:

What you do is you multiply 5 and 7 and your answer is 35.

I hope I helped you with this. Have a great day!

Answer:

Amir's car will cost £10348.88 after 23 years.

Step-by-step explanation:

I finally found a UK human!

This is compound interest so you have to find a decimal multiplier and multiply that with £16470 to the power of 23.

The decimal multiplier would be 0.98. This is because you do 100% - 2% as depreciating basically means a decrease, which gives you 98% and then you divide that by 100 to get your decimal multiplier - 0.98.

16470 × \(0.98^{23}\) = £10348.88

I hope that helps you!! ^-^

Answer:

T' = (-5,1)

R' = (-1,-1)

Step-by-step explanation:

(x-4,y+2)

T(-1,-1)=(-1-4,-1+2)=(-5,1)

T'=(-5,1)

R(3,-3)=(3-4,-3+2)=(-1,-1)

R'=(-1,-1)

hi I'm from shadow Ridge and I'm smart.

The linear functions of the scenario are y = 12x and y = 24/2x

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

(1, 12) and (2,24)

From the question, we understand that the function is a linear function

A linear function is represented as

y = mx + c

Using the above as a guide, we have the following equations

m + c = 12

2m + c = 24

Subtract the equations

m = 12

Substitute 12 for m in m + c = 12

12 + c = 12

Evaluate

c =0

So, the equation is y = 12x

An equivalent equation is y = 24x/2

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Total time for whole journey can be calculated by adding the three parts of the journey which would give answer as 2.5 hours.

What is a fraction?

The components of an entire or group of items are represented by fractions. A fraction consists of two components. The numerator is that the figure at the top of the line. It details the amount of equal portions that were taken from the total or collection. The denominator is that the figure that appears below the line.

Main Body:

total time = 20 minutes + 40 minutes + 1 hour 30 minutes

                = 2.5 hours or 5/2 hours.

Hence total time for journey is 2.5 hours.

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The matrix a will have two distinct eigenvalues when a ≠ c or when b ≠ 0.

To find the conditions under which the matrix a has two distinct eigenvalues, we need to consider the eigenvalue equation a - λI = 0, where λ is an eigenvalue and I is the identity matrix. The determinant of this equation gives us the characteristic polynomial, which we can solve to find the eigenvalues.

The characteristic polynomial is given by det(a - λI) = (a - λ)(c - λ) - b² = λ² - (a + c)λ + ac - b². For the matrix to have two distinct eigenvalues, the discriminant of this quadratic equation, (a + c)^2 - 4(ac - b²), must be greater than zero.

Expanding the discriminant, we get (a²+ 2ac + c²) - 4ac + 4b² = a² - 2ac + c² + 4b². Simplifying further, we have (a - c)² + 4b² > 0.

Since a and c are nonzero constants, the expression (a - c)² will always be positive. Therefore, for the matrix a to have two distinct eigenvalues, we need the term 4b² to be greater than zero, which implies that b ≠ 0.

In summary, the matrix a will have two distinct eigenvalues when a ≠ c (or equivalently, a - c ≠ 0) and when b ≠ 0. These conditions ensure that the discriminant of the characteristic polynomial is positive, indicating the presence of two distinct eigenvalues.

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Answer:

4096

Step-by-step explanation:

Lets start by applying a basic exponent rule. (a*b)^n is equal to a^n * b^n

Therefore,

((9(3/16)^-2)^3/2 = 9^3/2 * ((3/16)^-2)^3/2

Now lets focus on ((3/16)^-2)^3/2

(3/16)^-2 = 1/(3/16)^2 = (16^2/3^2)^3/2.

We can quickly eliminate the fractional exponent by plugging it into the numerator and the denominator and we get, 16^3/3^3 = 4096/27

So now we have, 9^3/2 * 4096/27

We can easily compute 9^3/2, which is (sqrt(9))^3, which is equal to 27.

Therefore, you have, 27*4096/27. The 27 cancels to give us a final answer of 4096

We can see that 36 can be arranged in 4 as 6 rows of 6 seeds each, in 6 as 6 rows of 6 seeds each, and in 9 as 4 rows of 9 seeds each.  The smallest number of seeds that can be arranged in 4, 6, and 9 is 36.

To find the smallest number of seeds that can be arranged in 4, 6 and 9, we need to determine the least common multiple (LCM) of these numbers.

LCM of 4, 6, and 9 can be obtained by finding the prime factors of each number. Then the highest powers of all the factors are multiplied.

Therefore,4 = 2²6 = 2 × 39 = 3²LCM of 4, 6 and 9 = 2² × 3² = 36.

Hence, the smallest number of seeds that can be arranged in 4, 6, and 9 is 36.

To verify this, we can see that 36 can be arranged in 4 as 6 rows of 6 seeds each, in 6 as 6 rows of 6 seeds each, and in 9 as 4 rows of 9 seeds each.  The smallest number of seeds that can be arranged in 4, 6, and 9 is 36.

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Answer:

so meh answer is

Step-by-step explanation:

Answer:

Step-by-step explanation:

Given the explicit function as

f(n) = 15n+4

The first term of the sequence is at when n= 1

f(1) = 15(1)+4

f(1) = 19

a = 19

Common difference d = f(2)-f(1)

f(2) = 15(2)+4

f(2) = 34

d = 34-19

d = 15

Sum of nth term of an AP = n/2{2a+(n-1)d}

S20 = 20/2{2(19)+(20-1)15)

S20 = 10(38+19(15))

S20 = 10(38+285)

S20 = 10(323)

S20 = 3230.

Sum of the 20th term is 3230

For the explicit function

f(n) = 4n+15

f(1) = 4(1)+15

f(1) = 19

a = 19

Common difference d = f(2)-f(1)

f(2) = 4(2)+15

f(2) = 23

d = 23-19

d = 4

Sum of nth term of an AP = n/2{2a+(n-1)d}

S20 = 20/2{2(19)+(20-1)4)

S20 = 10(38+19(4))

S20 = 10(38+76)

S20 = 10(114)

S20 = 1140

Sum of the 20th terms is 1140

P(A and B) = P(A) × P(B) is the formula used to assess if two events are independent (B).

P(A) is the chance that event A will occur.

The chance that event B will occur is marked as P(B).

If the chance of both occurrences happening at the same time, P (A and B), equals the product of the individual probabilities of each event, P(A) x P(B), the events are called independent.

If, on the other hand, the chance of both occurrences occurring simultaneously is less than the product of the individual probabilities of each event, the events are deemed dependent.

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a. The linear equation that models the temperature T as a function of the number of chirps per minute N is: T(N) = (1/9)N + 60

b. If the crickets are chirping at 155 chirps per minute, the estimated temperature is approximately 77.22 degrees Fahrenheit.

a. Let's first find the slope of the line using the formula:

slope (m) = (y2 - y1) / (x2 - x1)

where (x1, y1) = (117, 73) and (x2, y2) = (180, 80).

slope = (80 - 73) / (180 - 117)

= 7 / 63

= 1/9

Now, let's use the point-slope form of a linear equation:

y - y1 = m(x - x1)

Using the point (117, 73):

T - 73 = (1/9)(N - 117)

Simplifying the equation:

T - 73 = (1/9)N - (1/9)117

T - 73 = (1/9)N - 13

Now, let's rearrange the equation to solve for T:

T = (1/9)N - 13 + 73

T = (1/9)N + 60

Therefore, the linear equation that models the temperature T as a function of the number of chirps per minute N is: T(N) = (1/9)N + 60

(b) If the crickets are chirping at 155 chirps per minute, we can estimate the temperature T using the linear equation we derived.

T(N) = (1/9)N + 60

Substituting N = 155:

T(155) = (1/9)(155) + 60

T(155) = 17.22 + 60

T(155) ≈ 77.22

Therefore, if the crickets are chirping at 155 chirps per minute, the estimated temperature is approximately 77.22 degrees Fahrenheit.

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Step-by-step explanation:

\( \frac{46}{62} \times 100 = 74.19 percent \\ 100 - 74.19 = 25.81 \: percent \\ her \: loss \: was \: 25.81 \: percent\)

Answer:

The number of new street boards that can be put up will be 597.

Step-by-step explanation:

Since the muncipalicty has budgeted R80 000 for putting up new street name boards and the street name boards cost R134 each.

The number of new street boards that will be put up will be:

= 80000/134

= 597

The amount that will be left in the budget will be R2.

There is no sufficient evidence to refute the hospital director's claim about lab report errors at the 0.10 level.

Null Hypothesis:

Proportion of lab reports containing errors is equal to 45%.

Alternative Hypothesis:

Proportion of lab reports containing errors is not equal to 45%.

To determine if there is sufficient evidence to refute the hospital director's claim, we will perform hypothesis test using the given sample data.

Let p be the true proportion of lab reports containing errors.

We will use sample proportion "p" to estimate p.

In this case, p:

= 104/260

= 0.4.

Assuming null hypothesis is true (p = 0.45), we will calculate standard error \(SE = /\sqrt {(p * (1 - p)) / n)}\) where n = sample size.

In this case, n = 260.

SE = \(\sqrt{((0.45 * (1 - 0.45)) / 260) }\)

SE = 0.03085325067

SE = 0.031

Now, we will calculate the test statistic under null hypothesis:

z = (p - p) / SE

z = (0.4 - 0.45) / 0.031

z = -1.613

To determine whether to refute the null hypothesis at the 0.10 level, we compare absolute value of the test statistic (|z|) to the critical value for a two-tailed test at the significance level of 0.10.

The critical value for a two-tailed test at the 0.10 level is 1.645.

Since |z| = 1.61 > 1.645, we can accept the null hypothesis.

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The graph of f(x) = -2⁻ˣ is given as attached.

To graph the function f(x) = -2⁻ˣ, we can follow these steps:

1. Choose a set of x-values to plot on the x-axis. Since the function has an exponent that involves negative powers of 2, we should choose values that are evenly spaced on the x-axis, such as -3, -2, -1, 0, 1, 2, and 3.

2. Substitute each x-value into the function to find the corresponding y-value. For example, when x = -3, we have f(-3) = -2⁻³ = -1/8. Similarly, we can find the y-values for the other x-values we chose.

3. Plot the points (x, y) on the graph. Make sure to label the axes and use a ruler or graphing software to ensure accuracy.

4. Connect the points with a smooth curve to show the shape of the function between the plotted points. Since the function has a negative exponent, it approaches zero as x gets larger, so the curve should approach the x-axis as it moves to the right.

The resulting graph should show a decreasing curve that gets closer and closer to the x-axis, without ever touching it, as x gets larger.

Note that the values of y for each x are:

When x = -3, y = -1/8

When x = -2, y = -1/4

When x = -1, y = -1/2

When x = 0, y = -1

When x = 1, y = -2

When x = 2, y = -4

When x = 3, y = -8

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Answer:

$3,500

Step-by-step explanation:

6,000 divided by 12

500 x 7

ARCH (Autoregressive Conditional Heteroscedasticity) models are estimated using Maximum Likelihood (ML) estimation. Regarding Question 7, if the model has the given conditional variance function, it corresponds to an ARCH(3) model.

In the case of ARCH models, the ML estimation process involves the following steps:

1. Specify the ARCH model: Determine the appropriate order of the ARCH model by analyzing the autocorrelation and partial autocorrelation functions of the squared residuals (or other suitable diagnostic tests). For example, an ARCH(3) model implies that the conditional variance at time t depends on the squared residuals at time t-1, t-2, and t-3.

2. Formulate the likelihood function: The likelihood function specifies the probability of observing the given data under the assumed ARCH model. In ARCH models, the likelihood function is constructed based on the assumption that the errors follow a normal distribution with mean zero and a time-varying conditional variance.

3. Maximize the likelihood function: The goal is to find the parameter values that maximize the likelihood function. This is typically achieved using numerical optimization techniques, such as the Newton-Raphson algorithm or the BFGS algorithm.

4. Estimate the parameters: Once the likelihood function is maximized, the estimated parameter values are obtained. These estimates represent the best-fitting values that maximize the likelihood of observing the given data.

Therefore, the answer to Question 7 is: ARCH(3).

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