Answer:
we find that the incidence rate of asthma in Oklahoma during that year was 454 cases per 100,000 population.
Step-by-step explanation:
The incidence rate of asthma is a measure of the number of new cases of asthma in a given population over a specific period. It is usually expressed per 100,000 population to allow for easier comparison between populations of different sizes. In this case, we are given the number of new cases of asthma and the total population of Oklahoma during the same year.
To calculate the incidence rate, we divide the number of new cases of asthma by the total population, and then multiply by 100,000. Applying this formula, we find that the incidence rate of asthma in Oklahoma during that year was 454 cases per 100,000 population.
This means that for every 100,000 residents of Oklahoma, there were 454 new cases of asthma during that year.
This information can be useful for public health officials and policymakers in identifying areas where more resources may be needed to prevent and manage asthma. It can also help in the evaluation of the effectiveness of interventions aimed at reducing the incidence of asthma.
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tammy rents a storage shed. the storage shed is in the shape of a rectangular prism with measurements as shown. a rectangular prism has a length of 10 feet, height of 9 feet and a width of 9 feet.
To find the volume of Tammy's storage shed, which is in the shape of a rectangular prism, we need to use the formula: Volume = Length × Width × Height.
Given the dimensions of the rectangular prism storage shed are:
Length = 10 feet
Width = 9 feet
Height = 9 feet
We can calculate the volume as follows:
Step 1: Multiply the length, width, and height.
Volume = 10 × 9 × 9
Step 2: Perform the multiplication.
Volume = 810 cubic feet
So, Tammy's storage shed has a volume of 810 cubic feet.
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I need help with the proof portion. I believe it was the butler who did it (I symbolize in parenthesis)
Either it was the butler or the maid, or it was the cook. [(BvM)vC]
If the cook did it, poison was used. [(CvM)-->P]
If it was done with poison then it wasn't done swiftly, but it was swift. [(P--> ~S)&S)]
So, we must conclude that ___ did it. [B]
Who did it? _____(Butler)
Prove that the culprit is guilty--Give a proof for the sequent.
Based on the given premises, we know that either the butler, maid, or cook committed the crime. If it was the cook, poison was used, and if poison was used, it wasn't done swiftly, but we know that the crime was swift. Therefore, we can conclude that the cook is not the culprit. This leaves us with the butler and the maid. However, there is no information given about the maid that would implicate her in the crime.
On the other hand, the butler is the only suspect left who has not been ruled out by the given premises. Therefore, we can conclude that the butler did it. However, to prove his guilt, we need more information or evidence. The given premises only allow us to eliminate the other suspects and narrow down the list of possible culprits to one.
In order to prove the butler's guilt, we would need additional information or evidence that directly implicates him in the crime. This could come in the form of eyewitness testimony, forensic evidence, or a confession. Without further information, we cannot definitively prove that the butler is guilty.
To prove that the butler is guilty, we can use the given statements and logical reasoning. Here is a step-by-step explanation for the sequent:
1. Either it was the butler or the maid, or it was the cook. [(BvM)vC]
2. If the cook did it, poison was used. [(CvM)-->P]
3. If it was done with poison then it wasn't done swiftly, but it was swift. [(P--> ~S)&S]
From statement 3, we know that it was done swiftly (S), so it can't be poison (~P):
4. ~P (from 3)
Now, since it wasn't poison, it means the cook couldn't have done it (~C):
5. ~C (from 2 and 4, using Modus Tollens)
We're left with either the butler or the maid:
6. BvM (from 1 and 5, using Disjunction Elimination)
Since we know it was done swiftly, and the only available options are the butler and the maid, we can conclude:
7. B (Butler)
So, we must conclude that the butler did it. The butler is guilty based on the given sequent and logical reasoning.
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Consider a 0-1 matrix H with $n_{1}$ rows and $n_{2}$ columns. We refer to a row or a column of
the matrix H as a line. We say that a set of 1 's in the matrix H is independent if no two of them
appear in the same line. We also say that a set of lines in the matrix is a cover of H if they include
(Le., "cover") all the 1 's in the matrix. Show that the maximum number of independent I's equals the
minimum number oflines in a cover. (Hint: Use the max-flow min-cut theorem on an appropriately
defined network.)
The max-flow min-cut theorem helps to demonstrate that the maximum number of independent 1's in the matrix H equals the minimum number of lines in a cover.
To show that the maximum number of independent 1's in a 0-1 matrix H with $n_{1}$ rows and $n_{2}$ columns equals the minimum number of lines in a cover, we can use the max-flow min-cut theorem on an appropriately defined network.
First, create a bipartite graph G, where one set of vertices represents the rows and the other set represents the columns of the matrix H. Connect an edge between a row vertex and a column vertex if there is a 1 in the corresponding entry of the matrix H.
Next, add a source vertex s connected to all row vertices and a sink vertex t connected to all column vertices. Assign capacities of 1 to all edges in the network.
Now, apply the max-flow min-cut theorem on this network. The maximum flow in the network represents the maximum number of independent 1's in the matrix H. The minimum cut corresponds to the minimum number of lines in a cover of H, as it separates the source and sink while minimizing the number of crossing edges.
Hence, the max-flow min-cut theorem helps to demonstrate that the maximum number of independent 1's in the matrix H equals the minimum number of lines in a cover.
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the outer loop in each of the three sorting algorithms is responsible for ensuring the number of passes required are completed.
true or false
True, the outer loop in each of the three sorting algorithms (e.g., Bubble Sort, Selection Sort, Insertion Sort) is responsible for ensuring the number of passes required are completed. It iterates through the entire list to make sure the sorting process is executed correctly.
An algorithm is a standard formula or set of instructions that has a finite number of steps or instructions for using a computer to solve a problem.
The time complexity is a measurement of how long an algorithm takes to run until it completes the task in relation to the size of the input.
Flowcharts can be used to illustrate algorithms, an algorithm for a process or workflow can be graphically represented in a flowchart.
Therefore, an algorithm is a collection of guidelines for resolving a dilemma or carrying out a task.
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Give at least one counter-example for each of the following conjectures:
a) If x is a positive integer, then 7x 3 > x4 .
b) If x and y are real numbers and x > y, then x 2 > y2 .
c) If n is an integer, then n 2 6= n.
a) Counter-example: x=1
When x=1, 7x^3=7 and x^4=1, which means 7x^3>x^4 is not true for all positive integers.
b) Counter-example: x=-2 and y=-3
When x=-2 and y=-3, x^2=4 and y^2=9, which means x^2<y^2, then x^2>y^2 is not true for all real numbers.
c) Counter-example: n=0
When n=0, n^2=0 and n=0, which means n^2=n. Therefore, the statement "If n is an integer, then n^2≠n" is not true for all integers.
a) The conjecture states that if x is a positive integer, then 7x^3>x^4. To find a counter-example, we need to find a value of x that is a positive integer for which this statement is false. Let's try x=1. Substituting this value in the conjecture, we get 7x^3=7 and x^4=1. Therefore, 7x^3>x^4 becomes 7>1, which is false. Thus, we have found a counter-example, and the conjecture is false.
b) The conjecture states that if x and y are real numbers and x>y, then x^2>y^2. To find a counter-example, we need to find two real numbers x and y such that x>y but x^2<y^2. Let's try x=-2 and y=-3. Substituting these values in the conjecture, we get x^2=4 and y^2=9. Therefore, x^2<y^2 becomes 4<9, which is true. But x^2>y^2 becomes 4>9, which is false. Thus, we have found a counter-example, and the conjecture is false.
c) The conjecture states that if n is an integer, then n^2≠n. To find a counter-example, we need to find an integer n for which n^2=n. Let's try n=0. Substituting this value in the conjecture, we get n^2=0 and n=0. Therefore, n^2=n becomes 0=0, which is true. Thus, we have found a counter-example, and the conjecture is false.
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When I multiply my number by four and add twenty, I get 4. What is my number?
The number is -4. We can solve for it using algebraic equations and multiplication.
The problem states that when we multiply our number by four and add twenty, we get 4. We can represent this relationship using an algebraic equation with the variable x representing our unknown number:
4x + 20 = 4
To solve for x, we need to isolate it on one side of the equation. We start by subtracting 20 from both sides of the equation:
4x = -16
Now, we divide both sides by 4:
x = -4
Therefore, our number is -4. We can check this answer by plugging it back into the original equation:
4(-4) + 20 = 4Simplifying the left side of the equation, we get:
-16 + 20 = 4
4 = 4
This confirms that our answer, x = -4, is correct.
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A normal distribution has a mean of 454.92 and a standard deviation of 1.33. What is the z-score of 468.40? Enter your answer, rounded to the nearest hundredth, in the box.
The z-score of the norminal distribution is 10.14.
What is z-score?Z-score is a statistical measurement that describes a value's relationship to the mean of a group of values.
To calculate the z-score of the norminal distribution, we use the formula below
Formula:
z = (x-μ)/σ.................. Equation 1Where:
z = Z-score of the norminal distributionx = Actual value of the norminal distributionσ = Standard deviationμ = MeanFrom the question,
Given:
σ = 1.33x = 468.40μ = 454.92Substitute these values into equation 1
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Draw random variables X1, X2,..., XN, all independently from
p(X). Suppose you have scalars, a, b, c. What is E[aX1 + bX2 +
cX3]?
What is Var[aX1 + bX2 + cX3]?
The value of the expectation E[aX1 + bX2 + cX3] is aE[X1] + bE[X2] + cE[X3]
The value of the variance Var[aX1 + bX2 + cX3] is a² Var[X1] + b² Var[X2] + c² Var[X3]
We have,
Using the linearity of expectation and the fact that the variables are independent, we have:
E[aX1 + bX2 + cX3]
= aE[X1] + bE[X2] + cE[X3]
And for the variance, using the fact that the variables are independent and using the property Var[aX] = a^2 Var[X], we have:
Var[aX1 + bX2 + cX3]
= Var[aX1] + Var[bX2] + Var[cX3]
= a^2 Var[X1] + b^2 Var[X2] + c^2 Var[X3]
Note that we have used the fact that the covariance between any two distinct X_i, X_j is zero since they are independent,
i.e., Cov[X_i, X_j] = E[X_iX_j] - E[X_i]E[X_j] = E[X_i]E[X_j] - E[X_i]E[X_j] = 0.
Thus,
The value of the expectation E[aX1 + bX2 + cX3] is aE[X1] + bE[X2] + cE[X3]
The value of the variance Var[aX1 + bX2 + cX3] is a² Var[X1] + b² Var[X2] + c² Var[X3]
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Length of Growing Seasons The growing seasons for a random sample of 32 U.S. cities were recorded, yielding a sample mean of 194.6 days and the population standard deviation of 55,6 days. Estimate the true population mean of the growing season with 95% confidence. Round your answers to at least one decimal place,
We can say with 95% confidence that the true population mean of the growing season is between 176.3 and 212.9 days.
We can use a t-distribution since the population standard deviation is unknown and the sample size is small (n < 30).
The formula for a confidence interval with a t-distribution is:
CI = x ± tα/2 * (s/√n)
Where:
x = sample mean
s = sample standard deviation
n = sample size
tα/2 = t-value with degrees of freedom (df = n-1) and α/2 level of significance
Using the given information, we have:
x = 194.6
s = 55.6
n = 32
df = n-1 = 31
α/2 = 0.05/2 = 0.025 (since it's a 95% confidence interval)
We can find the t-value using a t-distribution table or a calculator. For df = 31 and α/2 = 0.025, we get:
tα/2 = 2.0395
Substituting the values into the formula, we get:
CI = 194.6 ± 2.0395 * (55.6/√32)
CI = (176.3, 212.9)
Therefore, we can say with 95% confidence that the true population mean of the growing season is between 176.3 and 212.9 days.
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(a) Find the values of det(M21), det(M22), and det(M23). (M21, M22, M23 are minors)
(b) Find the values of A21, A22, and A23. (A21, A22, A23 are cofactors)
(c) Use your answers from part (b) to compute det(A)
For a matrix, [tex]A = \begin{bmatrix} 3 & 2& 4 \\ 1& -2& 3\\ 2 &3 &2 \end{bmatrix}\\[/tex]
a) The value of det(M₂₁), det(M₂₂), and det(M₂₃) are -8, -2 and 5 respectively.
b) The values of cofactors of matrix A, A₂₁, A₂₂ and A₂₃ are 8, -2 and -5 respectively.
c) The computed value of determinant, det(A) is equals to -3.
Matrix is a set of elements arranged in rows and columns in order to form a rectangular array. We have a matrix A, defined as [tex]A = \begin{bmatrix} 3 & 2& 4 \\ 1& -2& 3\\ 2 &3 &2 \end{bmatrix}\\[/tex]
We have to determine the following values :
a) The minor of matrix is exist for each element of matrix and is equal to the part of the matrix remained after removing the row and the column containing. First we determine the value Minors and then their determinant. [tex]M_{21} = \begin{bmatrix} 2& 4 \\ 3& 2\\ \end{bmatrix}\\[/tex]
det(M₂₁ ) = | M₂₁ | = 2× 2 - 4× 3 = - 8
[tex]M_{22} = \begin{bmatrix} 3& 4 \\ 2& 2\\ \end{bmatrix}\\[/tex]
det(M₂₂) = | M₂₂| = 2× 3 - 4× 2 = - 2
[tex]M_{23} = \begin{bmatrix} 3& 2 \\ 2& 3\\ \end{bmatrix}\\[/tex]
det(M₂₃ ) = | M₂₃ | = 3×3 - 2×2= 5
b) The value of cofactors of matrix A are A₂₁ = (-1)²⁺¹ M₂₁
= -(-8) = 8
A₂₂ = (-1)²⁺² M₂₂ = -2
A₂₃ = (-)²⁺³ M₂₃ = -5
c) Now, we determine the value of determinant of matrix A from part (b).
det(A) = a₂₁ A₂₁ + a₂₂ A₂₂ + a₂₃ A₂₃
= 1× 8 - 2 (-2) + 3( -5)
= -3
Hence, required value is -3.
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A random sample of 100 customers at a local ice cream shop were asked what their favorite topping was. The following data was collected from the customers.
Topping Sprinkles Nuts Hot Fudge Chocolate Chips
Number of Customers 12 17 44 27
Which of the following graphs correctly displays the data?
a bar graph titled favorite topping with the x axis labeled topping and the y axis labeled number of customers, with the first bar labeled sprinkles going to a value of 17, the second bar labeled nuts going to a value of 12, the third bar labeled hot fudge going to a value of 27, and the fourth bar labeled chocolate chips going to a value of 44
a bar graph titled favorite topping with the x axis labeled topping and the y axis labeled number of customers, with the first bar labeled nuts going to a value of 17, the second bar labeled sprinkles going to a value of 12, the third bar labeled chocolate chips going to a value of 27, and the fourth bar labeled hot fudge going to a value of 44
a histogram titled favorite topping with the x axis labeled topping and the y axis labeled number of customers, with the first bar labeled sprinkles going to a value of 17, the second bar labeled nuts going to a value of 12, the third bar labeled hot fudge going to a value of 27 ,and the fourth bar labeled chocolate chips going to a value of 44
a histogram titled favorite topping with the x axis labeled topping and the y axis labeled number of customers, with the first bar labeled nuts going to a value of 17, the second bar labeled sprinkles going to a value of 12, the third bar labeled chocolate chips going to a value of 27, and the fourth bar labeled hot fudge going to a value of 44
5. Evaluate f(-2), f(o), and f(2) for the following absolute value function f(x) =|x-3x|
The given absolute value function is f(x) = |x - 3x|.
To evaluate absolute value function f(-2), we substitute -2 in place of x:
f(-2) = |-2 - 3(-2)|
= |-2 + 6|
= |4|
= 4
Therefore, f(-2) = 4.
To evaluate f(0), we substitute 0 in place of x:
f(0) = |0 - 3(0)|
= |0|
= 0
Therefore, f(0) = 0.
To evaluate f(2), we substitute 2 in place of x:
f(2) = |2 - 3(2)|
= |-4|
= 4
Therefore, f(2) = 4.
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slope = -1 y intercept = 8
The line plots represent data collected on the travel times to school from two groups of 15 students.
A horizontal line starting at 0, with tick marks every two units up to 28. The line is labeled Minutes Traveled. There is one dot above 10, 16, 20, and 28. There are two dots above 8 and 14. There are three dots above 18. There are four dots above 12. The graph is titled Bus 14 Travel Times.
A horizontal line starting at 0, with tick marks every two units up to 28. The line is labeled Minutes Traveled. There is one dot above 8, 9, 18, 20, and 22. There are two dots above 6, 10, 12, 14, and 16. The graph is titled Bus 18 Travel Times.
Compare the data and use the correct measure of center to determine which bus typically has the faster travel time. Round your answer to the nearest whole number, if necessary, and explain your answer.
Based on the information, we can see from the line plots that Bus 14 tends to have longer travel times than Bus 18 for most of the data points, except for a few outliers.
How to explain the dataIn terms of travel time, Bus 14 and Bus 18 each have a median of 16 minutes. As such, it cannot be inferred from this information alone which mode of transportation tends to arrive more rapidly.
Nevertheless, the line plots reveal that Bus 14's journey takes slightly longer than Bus 18's for most of the data points, except for a few outliers.
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A person walks 1/5 mile 1/15 hour. What is the persons speed per hour
When a person walking [tex] \frac{1}{5}[/tex] mile in [tex] \frac{1}{15}[/tex] hour, then the speed ( distance travelled per unit time) of person is equals to the 3 miles per hour.
The speed is defined as the rate at which a particular object covers a certain amount of distance. This speed can be fast or slow. That is simply defined as the rate of change in distance per unit of time. It is defined as Speed=[tex]\frac{d}{t }[/tex]
We have a person who is walks along the road. The distance travelled by person =
[tex] \frac{1}{5}[/tex] mile
Time taken by him to travel the distance 1/5 mile [tex]= \frac{ 1}{15}[/tex] hours.
We have to determine the persons speed per hour. Using the speed formula, now the speed of person, [tex]s = \frac{ \frac{ 1}{5} }{\frac{1}{15} }[/tex]
= 3 miles/hour
Hence, required value of speed is 3 miles per hour.
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I INCLUDED THE GRAPH! PLEASE HELP ITS URGENT PLEASE I AM DOING MY BEST TO RAISE MY GRADE!!!
Graph g(x)=−|x+3|−2.
Use the ray tool and select two points to graph each ray.
The graph of the function g(x) = −|x + 3| − 2 is added as an attachment
How to determine the graph of the functionFrom the question, we have the following parameters that can be used in our computation:
g(x) = −|x + 3| − 2
The above expression is an absolute value function that hs the following properties
Reflected over the x-axisTranslated left by 3 unitsTranslated down by 2 unitsVertex = (-3, -2)Next, we plot the graph
See attachment for the graph of the function
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Suppose you have the opportunity to play a game with a "wheel of fortune" (similar to the one on TV). When you spin a large wheel, it is equally likely to stop in any position. Depending on where it stops, you win anywhere from $0 to $1000. The population is the set of all outcomes you could obtain from a single spin of the wheel--that is, all dollar values from $0 to $1000. Furthermore, because we assume that the wheel is equally likely to land in any position, all possible values from $0 to $1000 have the same chance of occurring. Therefore, we have a uniform distribution for our population on the interval from SO to $1000. of FOR What are the values of a and b for this uniform distribution? What are the mean and standard deviation for this uniform distribution?What is the probability of winning more than $600 on one spin of the wheel?
The mean of this distribution is (a+b)/2 = $500, and the standard deviation is (b-a)/sqrt(12) = $288.68. The probability of winning more than $600 on one spin of the wheel is the area under the uniform distribution curve from $600 to $1000, which is (1000-600)/(1000-0) = 0.4 or 40%.
In a uniform distribution, all possible outcomes have an equal probability of occurring, and the range of values is defined by the minimum value (a) and the maximum value (b). In this case, the range is from $0 to $1000, so a=0 and b=1000.
The mean of a uniform distribution is the average of the minimum and maximum values, which is (a+ b)/2 = $500. The standard deviation of a uniform distribution is calculated using the formula (b-a)/sqrt(12), which gives a value of $288.68 for this distribution.
To find the probability of winning more than $600, we need to calculate the area under the uniform distribution curve from $600 to $1000. Since the total area under the curve is 1, we can calculate the probability by dividing the width of the interval by the total width of the distribution, which is (1000-600)/(1000-0) = 0.4 or 40%.
Therefore, the probability of winning more than $600 on one spin of the wheel is 0.4.
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Determine the equation of the parabola that opens to the left, has vertex (2, 9), and સ
focal diameter of 32.
In a survey of 2728 adults, 1446 say they have started paying bills online in the last year.
Construct a 99% confidence interval for the population proportion. Interpret the results.
Question content area bottom
Part 1
A 99% confidence interval for the population proportion is enter your response here,enter your response here.
(Round to three decimal places as needed.)
Part 2
Interpret your results. Choose the correct answer below.
A.With 99% confidence, it can be said that the population proportion of adults who say they have started paying bills online in the last year is between the endpoints of the given confidence interval.
B.With 99% confidence, it can be said that the sample proportion of adults who say they have started paying bills online in the last year is between the endpoints of the given confidence interval.
C.The endpoints of the given confidence interval show that adults pay bills online 99% of the time.
With 99% confidence, it can be said that the population proportion of adults who say they have started paying bills online in the last year is between the endpoints of the given confidence interval.
Part 1:
To construct a 99% confidence interval for the population proportion, we can use the following formula:
CI = P ± z*√(P(1-P)/n)
where P is the sample proportion, z is the z-score corresponding to the desired level of confidence (in this case, 99%), and n is the sample size.
In this case, P = 1446/2728 = 0.5298, z = 2.576 (from a standard normal distribution table), and n = 2728. Plugging these values into the formula, we get:
CI = 0.5298 ± 2.576√(0.5298(1-0.5298)/2728)
CI = (0.5085, 0.5511)
So the 99% confidence interval for the population proportion is (0.5085, 0.5511).
Part 2:
The correct interpretation is A. With 99% confidence, it can be said that the population proportion of adults who say they have started paying bills online in the last year is between the endpoints of the given confidence interval.
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Given are data for two variables, x and y.
xi
6 11 15 18 20
yi
7 7 13 21 30
(a)
Develop an estimated regression equation for these data. (Round your numerical values to two decimal places.)
ŷ =
(b)Compute the residuals. (Round your answers to two decimal places.)
xi
yi
Residuals
6 7 11 7 15 13 18 21 20 30 (c)Compute the standardized residuals. (Round your answers to two decimal places.)
xi
yi
Standardized Residuals
6 7 11 7 15 13 18 21 20 30
The standardized residuals are -0.11, 0.75, -0.38, 2.08, and 2.16, respectively.
(a) The estimated regression equation can be found by first calculating the sample means and sample standard deviations for both x and y, as well as the sample correlation coefficient, and then using these values to calculate the slope and intercept of the regression line:
x = (6 + 11 + 15 + 18 + 20)/5 = 14
y = (7 + 7 + 13 + 21 + 30)/5 = 15.6
sx = sqrt(((6-14)^2 + (11-14)^2 + (15-14)^2 + (18-14)^2 + (20-14)^2)/4) = 4.49
sy = sqrt(((7-15.6)^2 + (7-15.6)^2 + (13-15.6)^2 + (21-15.6)^2 + (30-15.6)^2)/4) = 8.25
r = ((6-14)(7-15.6) + (11-14)(7-15.6) + (15-14)(13-15.6) + (18-14)(21-15.6) + (20-14)(30-15.6))/4sxsy
= 0.962
b = r(sy/sx) = 1.71
a = y - b(x) = -9.23
Therefore, the estimated regression equation is y = -9.23 + 1.71x.
(b) The residuals can be found by subtracting the predicted values of y (based on the regression line) from the actual values of y:
xi
yi
y
Residuals
6
7
0.09
-0.09
11
7
6.38
0.62
15
13
13.31
-0.31
18
21
19.29
1.71
20
30
23.57
6.43
(c) The standardized residuals can be found by dividing each residual by its estimated standard deviation:
xi
yi
ŷ
Residuals
Standardized Residuals
6
7
0.09
-0.09
-0.11
11
7
6.38
0.62
0.75
15
13
13.31
-0.31
-0.38
18
21
19.29
1.71
2.08
20
30
23.57
6.43
2.16
The estimated standard deviation of the residuals can be found by calculating the root mean squared error (RMSE):
RMSE = sqrt(((-0.09)^2 + (0.62)^2 + (-0.31)^2 + (1.71)^2 + (6.43)^2)/4) = 3.04
Therefore, the standardized residuals are -0.11, 0.75, -0.38, 2.08, and 2.16, respectively.
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allison's small business earns $10,000 in january. she expects income to increase by 5 percent per month until the end of the year. to use excel to calculate monthly income from february to december, allison can fill a series with a trend
Answer:
Original Money Earned: $10,000
To increase this by 5 percent, we need to multiply $10,000 by 0.05 (5%).
$10,000 x 0.05 = $500
Allison makes $500 (5% of $10,000) per month, so you would add that to the sum of your answer after every previous month.
Now, let's add that.
Feb : $10,000 + 500 = $10,500
Mar : $10,500 + 500 = $11,000
Apr : $11,000 + 500 = $11,500
May : $11,500 + 500 = $12,000
Jun : $12,000 + 500 = $12,500
Jul : $12,500 + 500 = $13,000
Aug : $13,000 + 500 = $13,500
Sep : $13,500 + 500 = $14,000
Oct : $14,000 + 500 = $14,500
Nov : $14,500 + 500 = $15,000
Dec : $15,000 + 500 = $15,500
Allison can fill a series with a trend function in excel to calculate monthly income.
To calculate Allison's monthly income from February to December using Excel, you can use the fill series with a trend function.
1. Open a new Excel spreadsheet.
2. In cell A1, type "January" and in cell B1, type "$10,000" (without quotes) as Allison's January income.
3. In cell A2, type "February".
4. In cell B2, type the formula "=B1*1.05" (without quotes). This formula calculates the income for February by increasing January's income by 5 percent.
5. Click on cell B2 to select it, then move your cursor to the bottom right corner of the cell until the cursor changes into a small black cross.
6. Click and hold the left mouse button, then drag the cursor down to cell B12, which corresponds to December.
7. Release the left mouse button. Excel will fill the series with a trend, calculating the income for each month from February to December.
Hence, Excel is used to calculate Allison's monthly income from February to December, taking into account the expected 5 percent increase per month.
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In ΔNOP,
m
∠
N
=
(
5
x
−
8
)
∘
m∠N=(5x−8)
∘
,
m
∠
O
=
(
x
−
5
)
∘
m∠O=(x−5)
∘
, and
m
∠
P
=
(
6
x
+
1
)
∘
m∠P=(6x+1)
∘
. Find
m
∠
O
.
m∠O.
The value of angle O is 11 degrees
How to determine the valueIt is important to note that the properties of a triangle are;
A triangle has 3 sidesA triangle has 3 verticesA triangle has 3 anglesFrom the information given, we have the angles;
m<N = 5x - 8
m<O = x - 5
m<P = 6x + 1
Also, the sum of the angles in a triangle is 180 degrees
Now, substitute the angles
m<O + m<P + m<O = 180
5x - 8 + x - 5 + 6x + 1 = 180
collect the like terms
5x + x + 6x = 180 + 12
add the terms
12x = 192
x = 16
For the angle, m<O = x - 5 = 16 -5 = 11 degrees
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The graph below shows a household’s budget. What angle measure was used to construct the section representing insurance?
43.2°
46.8°
36°
72°
Answer:
[tex].12 \times 360 \: degrees = 43.2 \: degrees[/tex]
A relation contains the points (-6, -2), (-3, -1), (0, 2), (5, -2), and (9, -7). Create a statement that accurately describes this relation.
When Landon moved into a new house, he planted two trees in his backyard. At the time of planting, Tree A was 24 inches tall and Tree B was 40 inches tall. Each year thereafter, Tree A grew by 9 inches per year and Tree B grew by 5 inches per year. Let
�
A represent the height of Tree A
�
t years after being planted and let
�
B represent the height of Tree B
�
t years after being planted. Write an equation for each situation, in terms of
�
,
t, and determine the height of both trees at the time when they have an equal height.
The equations are;
H = 24 + 9x
H = 40 + 5x
How do you convert word equations to mathematical equations?In a word problem, there are usually one or more unknown quantities that you need to find. Identify these unknowns and assign them a variable.
We have to know that Tree A was 24 inches tall and Tree B was 40 inches tall. Each year thereafter, Tree A grew by 9 inches per year and Tree B grew by 5 inches per year.
Then for tree A;
H = 24 + 9x
For tree B
H = 40 + 5x
Where x is the number of years that the trees stay.
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A market survey has been conducted to determine the movements of people between types of residences. Two hundred apartment dwellers were asked if their previous residence was an apartment, a condominium, their own home, or a rented home. Similarly, 200 condominium dwellers were asked about their previous residences, and so on. The results of the survey are tabulated below. Current Residence Apartment Condominium Own House Rented House Previous Residence Apartment Condominium 10020 150 40 50 20 100 20 Own House 40 0 120 20 Rented House 40 10 60 The data are believed to be representative of the behavior of the population at large. Formulate the Markov chain for housing movements. (Hint: Notice that the survey looks backward in time.)
The transition probability matrix is:
[tex]\left[\begin{array}{cccc}0.5&0.1&0.2&0.2\\0.75&0&0.6 &0.3\\0.1&0.5&0 &0.1\\0.05&0.1&0.25&0\end{array}\right][/tex]
What is matrix?
A matrix is a rectangular array of numbers or other mathematical objects for which operations such as addition, subtraction, multiplication, and scalar multiplication are defined.
The Markov chain for housing movements can be formulated as follows:
State 1: Apartment
State 2: Condominium
State 3: Own House
State 4: Rented House
The transition probability matrix P is given by:
[tex]\left[\begin{array}{cccc}P_{11}&P_{12}&P_{13} &P_{14}\\P_{21}&P_{22}&P_{23} &P_{24}\\P_{31}&P_{32}&P_{33} &P_{34}\\P_{41}&P_{42}&P_{43} &P_{44}\end{array}\right][/tex]
where [tex]$P_{ij}$[/tex] is the probability of moving from state i to state j. To calculate these probabilities, we need to use the data from the survey.
For example, [tex]$P_{12}$[/tex] is the probability of moving from an apartment to a condominium. From the survey data, we can see that out of 200 apartment dwellers, 100 moved to another apartment, 20 moved to a condominium, 40 moved to their own house, and 40 moved to a rented house. Therefore, [tex]$P_{12} = 20/200 = 0.1$[/tex].
Similarly, we can calculate the other transition probabilities:
[tex]P_{13} = 40/200 = 0.2$\\$P_{14} = 40/200 = 0.2$\\$P_{21} = 150/200 = 0.75$\\$P_{23} = 120/200 = 0.6$\\$P_{24} = 60/200 = 0.3$\\$P_{31} = 20/200 = 0.1$\\$P_{32} = 100/200 = 0.5$\\$P_{34} = 20/200 = 0.1$\\$P_{41} = 10/200 = 0.05$\\$P_{42} = 20/200 = 0.1$\\$P_{43} = 50/200 = 0.25$[/tex]
Therefore, the transition probability matrix is:
[tex]\left[\begin{array}{cccc}0.5&0.1&0.2&0.2\\0.75&0&0.6 &0.3\\0.1&0.5&0 &0.1\\0.05&0.1&0.25&0\end{array}\right][/tex]
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The surface area for this composite figure (rounded to the nearest hundredth if needed).
The surface area of the composite figure is 1474 square feet.
In the composite figure, there are two shapes rectangular prism and triangular prism.
Surface area of rectangular prism = 2(lb+bh+hl)
= 2(19×9+9×11+11×19)
= 958 square feet
Surface area of triangular prism = (Perimeter of the base × Length of the prism) + (2 × Base Area)
= (S1 +S2 + S3)L + bh
= (13+13+10)×11+10×12
= 516 square feet
Total surface area = 958+516
= 1474 square feet
Therefore, the surface area of the composite figure is 1474 square feet.
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Printer A prints 100 pages for $26.99. Printer B prints 275 sheets for $67.99. Which printer has the better rate of cost per page?
The printer that has a better rate of cost per page would be = printer B.
How to calculate the rate of cost per page for the printers?For printer A:
The number of pages printed = 100
The cost for the printed pages = $26.99
Cost per page = 26.99/100 = $0.27/page
For printer B:
The number of pages printed = 275
The cost for the printed pages = $67.99
Cost per page =67.99/275
= 0.25
Therefore the printer that has a better rate of cost per page would be = printer B
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If you purchase business software for $69.95 and anti-virus software for $49.95,
you get a $20 mail-in rebate for the business software and a $30 mail-in rebate
for the anti-virus software.
If each envelope costs 20¢ and each stamp costs 394, what is the total cost
after the rebates?
How much is the actual rebate after your expenses?
Answer:
The cost before rebates is: $69.95 + $49.95 = $119.90
The total rebate amount is: $20 + $30 = $50
The cost of two envelopes is: 2 x $0.20 = $0.40
The cost of two stamps is: 2 x $0.394 = $0.788
The total cost after rebates and including expenses is: $119.90 - $50 + $0.40 + $0.788 = $70.078
Rounding to two decimal places, the total cost after rebates and including expenses is $70.08
The actual rebate after expenses is: $50 - $0.40 - $0.788 = $48.812
Rounding to two decimal places, the actual rebate after expenses is $48.81
Given the following sampling distribution of one mean with a sample size 100, from a normally distributed population, find the population standard deviation, o. 139 141 143 145 147 149 151 Submit Ques
The standard deviation of the population is 8.
We have,
The mean of the sampling distribution is the mean of the population, so we have:
[tex]$\bar{x} = \frac{1}{n}\sum_{i=1}^{n}x_i = \mu$[/tex]
where [tex]$\bar{x}$[/tex] is the sample mean, n is the sample size, [tex]x_1[/tex] are the individual samples, and [tex]$\mu$[/tex] is the population mean.
In this case,
We are given the sample size n = 100 and the sample mean [tex]\bar{x}[/tex]
We also know that the sampling distribution comes from a normally distributed population.
The standard error of the mean.
[tex]$SE = \frac{s}{\sqrt{n}}$[/tex]
where s is the sample standard deviation.
The standard error of the mean represents the standard deviation of the sampling distribution.
In this case,
We don't have the sample standard deviation s, but we can estimate it using the sample variance:
[tex]$s^2 = \frac{1}{n-1}\sum_{i=1}^{n}(x_i - \bar{x})^2$[/tex]
Substituting the values we have:
[tex]$s^2 = \frac{1}{99}\sum_{i=1}^{100}(x_i - 145)^2 = 64$[/tex]
Therefore:
[tex]$s = \sqrt{64} = 8$[/tex]
Substituting this value into the standard error equation:
[tex]$SE = \frac{s}{\sqrt{n}} = \frac{8}{\sqrt{100}} = 0.8$[/tex]
The standard deviation of the population is related to the standard error by the following equation:
[tex]$SE = \frac{\sigma}{\sqrt{n}}$[/tex]
Rearranging this equation, we get:
[tex]$\sigma = SE \times \sqrt{n} = 0.8 \times \sqrt{100} = 8$[/tex]
Therefore,
The standard deviation of the population is 8.
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