(d) If 1.6 thousand gallons are in stock at the beginning of the week and no new supply is due in during the week, how much of the 1.6 thousand gallons is expected to be left at the end of the week? [Hint: Let h(x) = amount left when demand = x.] (Round your answer to three decimal places.)

The statements are always true regarding the diagram are m∠5 + m∠3 = m∠4, m∠3 + m∠4 + m∠5 = 180° and m∠2 + m∠3 + m∠5 = 180°. So, correct answers are A, B and E.

The given triangle and its exterior angles are shown in the diagram. We are also given the interior angles of the triangle, which are angles 2, 3, and 5, and their corresponding exterior angles, which are angles 1, 4, and 6. We need to determine which statements are always true regarding the diagram.

A) m∠5 + m∠3 = m∠4: This statement is true because angle 4 is the exterior angle at angle 3, and it is equal to the sum of angles 3 and 5. Therefore, m∠4 = m∠3 + m∠5, and we can substitute this into the given equation to obtain m∠5 + m∠3 = m∠3 + m∠5, which is always true.

B) m∠3 + m∠4 + m∠5 = 180°: This statement is also true because the sum of the exterior angles of a triangle is always 360°. Therefore, we have m∠1 + m∠4 + m∠6 = 360°. But m∠1 = m∠2, and m∠6 = m∠5, so we can substitute these in to obtain m∠2 + m∠3 + m∠5 = 360° - m∠4.

Since the sum of the interior angles of a triangle is 180°, we have m∠2 + m∠3 + m∠5 = 180° + m∠4, which can be rearranged to give the given equation.

C) m∠5 + m∠6 =180°: This statement is not always true. It depends on whether angle 6 is an exterior angle or not. If it is, then this statement is true because the sum of an exterior angle and its adjacent interior angle is always 180°. But if angle 6 is not an exterior angle, then this statement may not be true.

D) m∠2 + m∠3 = m∠6: This statement is not always true. It depends on whether angle 6 is an exterior angle or not. If it is, then this statement is true because angle 2 and angle 3 are adjacent interior angles to angle 6. But if angle 6 is not an exterior angle, then this statement may not be true.

E) m∠2 + m∠3 + m∠5 = 180°: This statement is true because the sum of the interior angles of a triangle is 180°, and angles 2, 3, and 5 are the interior angles of the triangle.

Therefore, the statements that are always true regarding the diagram are A), B), and E).

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Complete question is:

A triangle is shown with its exterior angles. The interior angles of the triangle are angles 2, 3, 5. The exterior angle at angle 2 is angle 1. The exterior angle at angle 3 is angle 4. The exterior angle at angle 5 is angle 6. Which statements are always true regarding the diagram? Select three options.

A) m∠5 + m∠3 = m∠4

B) m∠3 + m∠4 + m∠5 = 180°

C) m∠5 + m∠6 =180°

D) m∠2 + m∠3 = m∠6

E) m∠2 + m∠3 + m∠5 = 180°

The measure of the side r is 13.29 in

To determine the value of the side of the triangle:

We need to take note of the six trigonometric identities. These identities are;

From the information shown in the diagram, we have that;

side q is the opposite side of angle Q

r is the hypotenuse side

s is the adjacent side

Using the sine identity, we have;

sin 37 = 8/r

cross multiply the values, we have;

r = 13. 29 in

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For question 1, we are given four options with different x- and y-intercepts. The x-intercept is the point where the line crosses the x-axis, and the y-intercept is the point where the line crosses the y-axis.

To find the x-intercept, we set y=0 in the equation of the line and solve for x. To find the y-intercept, we set x=0 in the equation of the line and solve for y. Looking at the options given, we can see that only option 1 has an x-intercept of 5 and an unspecified y-intercept. Therefore, the answer to question 1 is: x-intercept is 5; y-intercept is .

For question 2, we are given an equation of a line in the form of y=mx+b, where m is the slope and b is the y-intercept. The x-intercept can be found by setting y=0 and solving for x.

First, we rearrange the equation to isolate y: y = (5/4)x - (100/4). The slope of the line is 5/4, which means that for every one unit increase in x, y increases by 5/4 units.

To find the y-intercept, we can observe that the constant term in the equation is -100/4, which means that the line crosses the y-axis at the point (0, -25). Therefore, the y-intercept is -25.

Next, to find the x-intercept, we set y=0 and solve for x:  0 = (5/4)x - (100/4)

Simplifying, we get:
(5/4)x = 100/4

Multiplying both sides by 4/5, we get:  x = 20/5, Therefore, the x-intercept is 4.In summary, the answer to question 2 is: x-intercept is 4; y-intercept is -25.

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A parabola is a U-shaped curve that can be formed by intersecting a cone with a plane that is parallel to one of its sides.

To find an equation of a parabola given the vertex and focus, we can use the following formula:

For a parabola with vertex (h, k) and focus (h, k + p), the equation is:

(x - h)^2 = 4p(y - k)

where p is the distance from the vertex to the focus.

If the focus is at (h + p, k), then the equation is:

(y - k)^2 = 4p(x - h)

where p is the distance from the vertex to the focus.

what is distance?

In the context of a parabola, the distance is the distance between the vertex and the focus, which is also known as the focal length. It is a constant value that determines the shape and size of the parabola.

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The expressions for the length and perimeter of the rectangle are (3x + 1) and (14x + 2) respectively.

For any rectangle, the area is calculated as;

Area of rectangle = length × width

given an area of 12x² + 4x and a width of 4x, the length is calculated as;

length of rectangle = (12x² + 4x)/4x

length of rectangle = 4x(3x + 1)/4x

length of rectangle = (3x + 1)

perimeter of the rectangle = 2[(3x + 1) + 4x]

perimeter of the rectangle = 2(7x + 1)

perimeter of the rectangle = 14x + 2

Therefore, the expressions for the length and perimeter of the rectangle are (3x + 1) and (14x + 2) respectively.

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Without knowing the size of the outer circle, it is impossible to determine the exact area of the shaded region. However, we can use the circumference of the inner circle (125.6 inches) to find its radius, and then use that to calculate the area of the shaded region as a fraction of the area of the outer circle.

The formula for the circumference of a circle is C = 2πr, where r is the radius. We can rearrange this formula to solve for r:

r = C/2π

Plugging in the given circumference of the inner circle, we get:

r = 125.6/2π
r ≈ 19.998 inches

Since both circles have the same center, we know that the radius of the outer circle must be at least 19.998 inches longer than the radius of the inner circle. Let's call the radius of the outer circle R. Then:

R = r + 19.998
R ≈ 39.996 inches

The area of a circle is given by the formula A = πr^2. So the area of the inner circle is:

A_inner = πr^2
A_inner ≈ 1256.64 square inches

And the area of the outer circle is:

A_outer = πR^2
A_outer ≈ 5023.27 square inches

The area of the shaded region is the difference between these two areas:

A_shaded = A_outer - A_inner
A_shaded ≈ 3766.63 square inches

So the area of the shaded region is approximately 3766.63 square inches, but this answer depends on the radius of the outer circle, which is not given in the problem.

The triangle with sides a=13 mm, b=84 mm, and c=85 mm is a(n) right triangle. This is because it satisfies the Pythagorean theorem (a² + b² = c²). In this case, 13² + 84² = 169 + 7056 = 7225, and 85² = 7225, so the theorem holds true.

A right triangle is a triangle with two perpendicular sides and one angle that is a right angle (i.e., a 90-degree angle). The foundation of trigonometry is the relationship between the sides and various angles of the right triangle.

The hypotenuse, or side c in the illustration, is the side that is opposite the right angle. Legs are the sides that meet at the correct angle. Side a may be thought of as the side that is opposite angle A and next to angle B, whereas side b is the side that is next to angle A and next to angle B.

A right triangle is considered to be a Pythagorean triangle and its three sides are referred to as a Pythagorean triple if the lengths of all three of its sides are integers.

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The value of n in the global truncation error of the Runge-Kutta method can be determined by taking the number of steps required to reach a certain point.

As the local truncation error is of O(h3), it means that the error in each step is proportional to h3. Therefore, if we take n steps, the total error would be proportional to h3n. Since we are given that the global truncation error is of O(hn), we can conclude that n must be equal to 3.

Based on the information provided, the local truncation error in the Runge-Kutta method is given as O(h^3). The global truncation error is generally one order lower than the local truncation error. Therefore, in this case, the global truncation error in the Runge-Kutta method can be determined as O(h^2), where the value of n is 2.

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The volume of the cylinder with a height of 8in and a radius of 6in is approximately 904.32 cubic inches.

To find the volume of a cylinder, we use the formula V=πr²h, where V is the volume, r is the radius, and h is the height.

Given a cylinder with a height of 8 inches and a radius of 6 inches, we can substitute these values into the formula to find the volume:

V = π(6²)(8)

V = π(36)(8)

V = 904.32 cubic inches (rounded to two decimal places)

The formula for the volume of a cylinder is derived by multiplying the area of the base of the cylinder (which is πr²) by the height of the cylinder. In this case, the radius of the cylinder is 6 inches, so the area of the base is π(6²) = 36π square inches. Multiplying this by the height of 8 inches gives us the volume of the cylinder.

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Medium-range forecasts are weather predictions that cover a period of two to four days. These forecasts are critical for planning activities and making decisions that rely on weather conditions.

To produce these forecasts, meteorologists use essentially the same procedures as short-term forecasting, but with the addition of statistical analysis. The statistical approach involves examining past weather patterns and trends to determine the likelihood of similar patterns occurring in the near future. This helps to provide a more accurate forecast than relying solely on numerical models.

Interestingly, medium-range forecasts are longer in Europe than in the United States. This is because Europe has a more dynamic weather system, with greater variations in temperature, pressure, and wind. To account for these complexities, European meteorologists rely on a broader range of data sources and statistical techniques. This includes the use of computer models, satellite imagery, and ground-based observations. In contrast, the weather in the United States tends to be more stable, making it easier to produce medium-range forecasts using numerical models alone.

In summary, medium-range forecasts are an essential tool for predicting the weather in the near future. Meteorologists use a combination of procedures, including statistical analysis, to produce accurate predictions. The length of these forecasts can vary depending on the region, with Europe requiring more sophisticated techniques due to the dynamic nature of its weather system.

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An equation of the plane through the point (-1, -5, 1) and perpendicular to the vector (5, 4, 2) can be -4x + 5y - 2z = 11.

First, the normal vector of the plane must be determined. The vector perpendicular to the given vector (5, 4, 2) is (-4, 5, -2).

Now, the equation of the plane can be determined using the given point and the normal vector. The standard form of the equation of a plane is Ax + By + Cz = D.

We can use the point (-1, -5, 1) and the normal vector (-4, 5, -2) to calculate the values of A, B, C, and D in the equation. To do this, we can use the point-normal form of the equation of a plane.

The point-normal form is (x - x1) × nx + (y - y1) × ny + (z - z1) × nz = 0. We can plug in the point and normal vector values into this equation to calculate A, B, C, and D.

Therefore, the equation of the plane is -4x + 5y - 2z = 11.

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The ambiguity arises because different definitions of the position and momentum operators can lead to different results for the expectation value of the product of position and momentum.

what is algebra?

Algebra is a branch of mathematics that deals with mathematical operations and symbols used to represent numbers and quantities in equations and formulas.

The expectation value of the product of position and momentum in quantum mechanics is given by:

⟨x p⟩ = ⟨ψ|x p|ψ⟩

where |ψ⟩ is the wave function of the system.

However, there are different ways to define the operators for position and momentum in quantum mechanics, which can lead to different results for the expectation value ⟨x p⟩.

One common set of definitions for the position and momentum operators are:

x = iℏ(d/dp)

p = -iℏ(d/dx)

Using these definitions, the expectation value of the product of position and momentum becomes:

⟨x p⟩ = ⟨ψ|(-iℏ)(d/dx)(iℏ)(d/dp)|ψ⟩

= ⟨ψ|xp - iℏ|ψ⟩

where xp is the operator for the product of position and momentum.

Another common set of definitions for the position and momentum operators are:

x = iℏ(d/dk)

p = k

Using these definitions, the expectation value of the product of position and momentum becomes:

⟨x p⟩ = ⟨ψ|(-1/2)iℏ|ψ⟩

where the operator for the product of position and momentum is xp = iℏ(d/dk)k = (-1/2)iℏ.

Therefore, the ambiguity arises because different definitions of the position and momentum operators can lead to different results for the expectation value of the product of position and momentum. However, it is important to note that all valid definitions of the operators must satisfy the commutation relation [x,p]=iℏ.

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We have shown that for any given positive real number ɛ, there exists an index N such that if n > N, then |xiyi - xy| < ɛ. Hence, the sequence (xiyi) converges to xy.

What is sequence?

In mathematics, a sequence is an ordered list of elements. The elements can be any type of object, such as numbers, functions, or other mathematical entities. Sequences are typically denoted by listing the elements with commas between them or by using a notation that indicates the general term of the sequence.

To show that the sequence (xiyi) converges to xy, we need to show that for any given positive real number ɛ, there exists an index N such that if n > N, then |xiyi - xy| < ɛ.

Since (xi) and (yi) are convergent sequences, we know that for any given positive real number ɛ/2, there exist indices N1 and N2 such that if n > N1, then |xi - x| < ɛ/2 and if n > N2, then |yi - y| < ɛ/2.

Now, let N = max{N1, N2}. Then, for n > N, we have:

|xiyi - xy| = |xiyi - xiy + xiy - xy|

= |xi(yi - y) + y(xi - x)|

<= |xi||yi - y| + |y||xi - x|

< ɛ/2 * ɛ/2 + ɛ/2 * ɛ/2 = ɛ,

where we used the triangle inequality and the fact that |xi| and |y| are bounded by some constant M (since (xi) and (yi) are convergent sequences, they are both bounded).

Therefore, we have shown that for any given positive real number ɛ, there exists an index N such that if n > N, then |xiyi - xy| < ɛ. Hence, the sequence (xiyi) converges to xy.

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Answer:

Step-by-step explanation:

5hr

It will take the boat, 6 hours, to get to the shore

:: Distance between shore and boat = 150 miles.

:: Boat`s speed = 25 miles/hour.

Therefore,

As [ Time = ( Distance / Speed ) ]

On putting given values, we will get,

T = 150 / 25

T = 6 hours

That is,

It will take boat, 6 hours, to reach the shore.

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The correlation coefficient can be found by taking the square root of the squared correlation. Therefore, the correlation coefficient is √81% = 0.9.

Based on the given information, the squared correlation (R²) is 81%. To find the correlation coefficient (r), you need to take the square root of the squared correlation.

R² = 0.81

The correlation coefficient, r = √0.81 = ±0.9

Since the regression equation is y = 3 - 0.5x and the slope is negative, the correlation coefficient is negative. Therefore, the correlation coefficient (r) is -0.9.

A correlation coefficient is a metric that expresses a correlation, or a statistical link between two variables, in numerical terms. Two columns of a given data set of observations, also known as a sample, or two parts of a multivariate random variable with a known distribution may serve as the variables.

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The area of the roof of the gazebo is approximately 3.7424 square meters.

What is surface area?

The space occupied by a two-dimensional flat surface is called the area. It is measured in square units. The area occupied by a three-dimensional object by its outer surface is called the surface area.

The area of the roof of a regular octagonal pyramid can be found by summing the areas of the eight triangular faces.

Each triangular face is an isosceles triangle, with two sides of length 0.5 meters (the sides of the octagon at the base) and one side of length 1.9 meters (the slant height of the pyramid). We can use the Pythagorean theorem to find the height of each triangular face:

h² = (1.9)² - (0.5/2)²

h² = 3.5025

h = 1.871 meters (rounded to three decimal places)

The area of each triangular face is then:

A = (1/2) * b * h

A = (1/2) * 0.5 * 1.871

A = 0.4678 square meters (rounded to four decimal places)

The total area of the roof is the sum of the areas of the eight triangular faces:

A_total = 8 * A

A_total = 8 * 0.4678

A_total = 3.7424 square meters (rounded to four decimal places)

Therefore, the area of the roof of the gazebo is approximately 3.7424 square meters.

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We fail to reject the null hypothesis and conclude that there is not enough evidence to support the claim.

we can use a one-sample t-test. We need to calculate the test statistic, which is the sample mean minus the hypothesized population mean divided by the standard error of the mean.

The standard error of the mean is the population standard deviation divided by the square root of the sample size. We can then compare the test statistic to the critical value from the t-distribution with n-1 degrees of freedom and the chosen level of significance (usually 0.05).

If the calculated test statistic is less than the critical value, we reject the null hypothesis and conclude that there is evidence to support the claim that the population mean number of miles driven annually by cars under the new contracts is less than the claimed value.

If the calculated test statistic is greater than the critical value, we fail to reject the null hypothesis and conclude that there is not enough evidence to support the claim.

Without the actual values of the sample mean, population mean, and standard deviation, we cannot calculate the test statistic and critical value for this specific problem.

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One more time-consuming method to check for normality of a distribution that only works for large data sets is to use the Shapiro-Wilk test.

The Shapiro-Wilk test is a statistical test that checks whether a given sample of data comes from a normally distributed population. It works by calculating the test statistic W, which measures the deviation of the sample from a normal distribution. The test then compares the value of W to a critical value, which depends on the sample size and significance level.

While the Shapiro-Wilk test is a powerful tool for assessing normality, it is computationally intensive and may not be practical for smaller data sets. Moreover, it can be sensitive to sample size, so it may not provide reliable results for very small or very large samples.

In general, it is recommended to use multiple methods for checking normality, such as visual inspection of a histogram or Q-Q plot, in addition to formal statistical tests like the Shapiro-Wilk test.

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The best answer is the nearby population and local average income.

What is the average?

This is the arithmetic mean and is calculated by adding a group of numbers and then dividing by the count of those numbers. For example, the average of 2, 3, 3, 5, 7, and 10 is 30 divided by 6, which is 5.

The independent variables in a regression analysis are the variables that are believed to have an impact on the dependent variable.

In this case, the dependent variable is expected sales, and the independent variables are factors that could influence sales at a particular location.

Of the options given, nearby population and local average income are both factors that could reasonably be expected to have an impact on expected sales at a store location.

A larger nearby population may indicate more potential customers, while a higher local average income may indicate more purchasing power among those customers.

The other options, number of rainy days and number of snow days, sales and expenses, and number of employees and size of the building, are all variables that could be relevant in other contexts, but are less directly related to expected sales at a store location.

Hence, The best answer is the nearby population and local average income.

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Option C. Eighth grade, because 98 students would be eating a school lunch.

First, we need to determine how many students currently eat school lunch in each grade. To do this, simply add up all the numbers under "School Lunch" column for each grade: (Seventh Grade = 95 students and (Eighth Grade = 98 students).

Step 2/3

To the second step in our plan is calculating how many students would be eating school lunch if 30 eighth-grade students switched from packed to school lunches in each grade: To do this, add 30 students per grade eating school lunch (ie: in Seventh Grade there would be no change), in Eighth Grade add 30 to this number and multiply accordingly; (seventh grade would remain the same at 95 students and eighth Grade add 30 = 98 students)

Step 3/3

To determine which grade would have more students eating a school lunch, we compare their respective numbers: Seventh Grade has 95 students; Eighth Grade would be home for 98! Accordingly, Eighth Grade wins.

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Complete question

Below is a two-way table of students in the seventh and eighth grades at Eastville Middle School who eat either a packed lunch or a school lunch.

Packed Lunch

School Lunch

Total

Seventh-Grade Students

123

95

218

Eighth-Grade Students

170

68

238

Total

293

163

456

If 30 eighth-grade students started eating a school lunch instead of a packed lunch, which grade would have more students eating school lunch?

A

Seventh grade, because 95 students would be eating a school lunch.

B

C

Seventh grade, because 218 students would be eating a school lunch.

Eighth grade, because 98 students would be eating a school lunch.

D Eighth grade, because 193 students would be eating a school lunch.

The actual distance between the two shops is 225 meters.

The map scale of 1 cm: 50 m means that every 1 centimeter on the map represents 50 meters in real life. Using this information, we can calculate the actual distance between the two shops given that the distance on the map is 4.5 centimeters.

To do this, we can use the following formula:

Actual distance = Map distance x Scale

Plugging in the values we have:

Actual distance = 4.5 cm x 50 m/cm

Actual distance = 225 m

It is important to use map scales correctly to accurately represent distances on a map. This can be helpful in many situations, such as planning routes for travel, determining the distance between locations, and estimating travel time. It is also important to note that maps are only representations of reality and may not always be perfectly accurate.

Correct Question :

A map has a scale of 1 cm: 50 m. The distance between 2 shops is 4.5 cm. Work out the actual distance between the shops?​

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the area of the final image is greater than the area of the rectangular space (3.75 > 3.5), the final image will not fit into the given rectangular space.

To determine if the final image will fit into the rectangular space with an area of 3.5 square inches, we need to calculate the area of the final image.

First, we use the scale factor of 2 to enlarge the image. The new length will be 3 inches x 2 = 6 inches, and the new width will be 5 inches x 2 = 10 inches. The area of the enlarged image is 6 inches x 10 inches = 60 square inches.

Next, we use the scale factor of 0.25 to reduce the enlarged image. The new length will be 6 inches x 0.25 = 1.5 inches, and the new width will be 10 inches x 0.25 = 2.5 inches. The area of the final image is 1.5 inches x 2.5 inches = 3.75 square inches.

Since the area of the final image is greater than the area of the rectangular space (3.75 > 3.5), the final image will not fit into the given rectangular space.

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(a) The probability that the student has a shoe size of 8 is 5/23.

(b) The probability that the student has a shoe size of 7 or smaller is 12/23.

To calculate the probabilities, we need to determine the number of students with the shoe sizes mentioned and divide it by the total number of students.

Given the table shows the shoe sizes of 23 students, we can find:

(a) The probability that the student has a shoe size of 8:

Looking at the table, we need to count the number of students with a shoe size of 8.

Let's assume there are 5 students with a shoe size of 8.

The probability would be:

P(shoe size 8) = Number of students with shoe size 8 / Total number of students = 5 / 23.

(b) The probability that the student has a shoe size of 7 or smaller:

We need to count the number of students with shoe sizes 7 or smaller. Let's assume there are 12 students with a shoe size of 7 or smaller.

The probability would be:

P(shoe size 7 or smaller) = Number of students with shoe size 7 or smaller / Total number of students = 12 / 23.

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Question: The table shows the shoe size of 23 students.

A student is picked at random.

there are 2 ansers

(a) Work out the probability that the student has a school size of 8.

(b) Work out the probability that the student has a school size of 7 or smaller.

The probability that the sample mean age is between 19 and 22 years is approximately 0.8186 or 81.86% (rounded to four decimal places).

What is probability?

Probability is a measure of the likelihood of an event occurring. It is a number between 0 and 1, where 0 means the event is impossible and 1 means the event is certain to happen.

We know that the sample mean age of 9 students follows a normal distribution with a mean of 21 years and a standard deviation of 3/sqrt(9) = 1 year (since the standard error of the mean is the standard deviation divided by the square root of the sample size).

To find the probability that the sample mean age is between 19 and 22 years, we first need to standardize the values using the standard normal distribution. We can do this by subtracting the mean and dividing by the standard error:

z1 = (19 - 21) / 1 = -2

z2 = (22 - 21) / 1 = 1

Now we need to find the probability that the sample mean falls between -2 and 1 standard deviations from the mean of the standard normal distribution. We can look this up in a standard normal distribution table or use a calculator:

P(-2 < Z < 1) = 0.8186

Therefore, the probability that the sample mean age is between 19 and 22 years is approximately 0.8186 or 81.86% (rounded to four decimal places).

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Helps to increase the internal validity of the study, or the degree to which we can attribute changes in the dependent variable to the independent variable.

a) It is important to use caution when drawing causal conclusions from correlational studies.

b) To increase the internal validity of the study, or the degree to which we can attribute changes in the dependent variable to the independent variable.

a) People may easily accept the conclusion of the study because of a common misunderstanding of correlational studies. Correlation only shows a relationship between two variables but it doesn't necessarily mean that one variable causes the other. There could be other variables that influence both variables or there may be a third variable causing the relationship. In this case, there could be other factors that contribute to hyperactivity, such as excitement from the party or the presence of peers, that also influence the consumption of sugary snacks. Therefore, it is important to use caution when drawing causal conclusions from correlational studies.

b) Hypothesis: Consuming sugary snacks causes an increase in hyperactivity in children between the ages of 5 and 7 years.

Independent variable: Consumption of sugary snacks.

Dependent variable: Hyperactivity as measured by the number of times children leave their seats.

Random assignment can be achieved by randomly assigning children to one of two groups: a group that receives a sugary snack and a control group that receives a non-sugary snack. Random assignment is important for experiments because it helps to ensure that differences in the groups are due to chance rather than any pre-existing differences between the groups. This helps to increase the internal validity of the study, or the degree to which we can attribute changes in the dependent variable to the independent variable.

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Step-by-step explanation:

sqrt (50)    does NOT = 2 sqrt (10)

sqrt(50) = sqrt (2 *25) = 5 sqrt 2   = approx 7.1

Step-by-step explanation:

A, Jaclyn is not correct cause she make a product of √50 to 2√25 but it must be √2×25 then the answer will be 5√2 so she make √2 out from radical by 2 but it must be √2 itself

B, Then when we work √50 to simplest form it is 5√2

and √2 is 1.414 so 5×1.414 = 7.07 approximate to 7.1

Yes, it is true that if AB = BA and A is invertible, then [tex]A^{(-1)}B = BA^{(-1).[/tex]

To prove this, we can start with the equation AB = BA and multiply both sides by [tex]A^{(-1)[/tex] on the left. This gives:

[tex]A^{(-1)}AB = A^{(-1)BA[/tex]

Simplifying the left-hand side using the associative property of matrix multiplication and the fact that [tex]A^{(-1)}A = I[/tex] (the identity matrix), we get:

[tex]IB = A^{(-1)}BA[/tex]

Simplifying the left-hand side further, we get:

[tex]B = A^{(-1)}BA[/tex]

Now, we can multiply both sides of this equation by A on the right to obtain:

[tex]BA = AA^{(-1)BA[/tex]

Using the fact that [tex]AA^{(-1) }= A^{(-1)}A = I[/tex], we can simplify the right-hand side to get:

[tex]BA = A^{(-1)}B(AA^{(-1)})[/tex]

Once again using the fact that [tex]AA^{(-1)} = A^{(-1)}A = I[/tex], we get:

[tex]BA = A^{(-1)}B[/tex]

Therefore, we can show that if AB = BA and A is invertible, then [tex]A^{(-1)}B = BA^{(-1).[/tex]

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The measure of the angle O is 81.77 degrees.

To find the measure of ∠O, we can use the Law of Cosines, which states that:

[tex]c^2 = a^2 + b^2 - 2ab*cos(C)[/tex]

where c is the side opposite the angle we want to find (in this case, side o), a and b are the other two sides (in this case, sides m and n), and C is the angle opposite side c (in this case, ∠O).

Substituting the given values, we get:

[tex]o^2 = m^2 + n^2 - 2mn*cos(O)[/tex]

[tex]59^2 = 55^2 + 48^2 - 2(55)(48)*cos(O)\\3481 = 3025 + 2304 - 5280*cos(O)\\756 = 5280*cos(O)\\cos(O) = 756/5280\\O = cos^{-1}(756/5280)\\O = 81.77 degrees[/tex]

Therefore, the measure of ∠O to the nearest [tex]10^{th[/tex] of degree is approximately 81.77 degrees.

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A z-score of 2.2 for Test 1 indicates that a score of 750 is more than 2 standard deviations of the mean, is quite rare.

A z-score of 1.5 for Test 2 indicates that a score of 29 is only 1.5 standard deviations above the mean, is relatively less rare.

The more unusual score is the Test 1 score of 750. A.

To determine which score is more unusual, we need to calculate the z-scores for both scores.

For Test 1, if a student has a score of 750, their z-score would be:

z = (750 - 530) / 100 = 2.2

For Test 2, if a student has a score of 29, their z-score would be:

z = (29 - 23) / 4 = 1.5

The z-score tells us how many standard deviations a data point is away from the mean of the distribution.

A higher absolute value of the z-score indicates that the data point is further away from the mean and hence more unusual.

A z-score of 2.2 for Test 1 indicates that a score of 750 is more than 2 standard deviations above the mean, is quite rare.

A z-score of 1.5 for Test 2 indicates that a score of 29 is only 1.5 standard deviations above the mean, is relatively less rare.

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