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look at the intercepts of equation 2x-y=5, its y intercept is -5, and x intercept is 2.5 only c) has a line that has intercepts match this, so c) is correct.
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Good Evening Last semester I have taken college algebra and I have failed miserably in the class. My main downfall in ...
Algebraic Equations, math homework help
Good Evening Last semester I have taken college algebra and I have failed miserably in the class. My main downfall in the class was my final project and my final. My final project was a three part project two of the three parts I have answered correctly, but the third none of my calculations is correct can you help me with this one? Part A Let’s consider the US national debt and the US population as a function of time. We will be using this throughout Part A of the project. 1. Algebraic Equations The current population of the United States is 317,000,000. The current national debt total is $17,000,000,000. a. Based on these figures, use algebraic equations to calculate the approximate amount of debt per citizen. Show all of your work. 2. Linear Equations Assume the population growth is a linear function that grows at a steady, unchanging rate of 0.9% per year, and that debt growth is a linear function that grows at a steady, unchanging rate of 13% per year. Using the population and debt figures from section 1: a. Find the linear equation for population in slope-intercept form. b. Find the linear equation for debt in slope-intercept form 3. Graphing Linear Equations, Algebraic Equations Begin with figuring out the algebraic equation for each, and then graph the linear equation. There will be two graphs, one for the population and one for the debt. Please show your work for how you figured out each graph. Using the population and debt information from section 1: a. Graph the linear equation for population growth and debt in two separate graphs. Label the values of the x- and y-axes and title each graph. Show x from 0 (current year) to 30 (30 years from now). b. Determine what the population and national debt will be 30 years from now. Calculate what the debt per citizen will be in 30 years. Show all your work. 4. Algebraic Equations, Graphing, and Linear Functions Using calculations from sections 1 and 3: a. Calculate the population, national debt, and debt per citizen in 10 and 20 years from now. b. Complete the table below with your calculations: c. Using the figures from the table above, graph the function that shows the amount of debt per citizen as a function of time. i. Label the values of the x- and y-axes and title the graph. ii. Show x from 0 (current year) to 30 (30 years from now). Time (years) Debt ($) Population Debt/Citizen 0 17,000,000,000 317,000,000 10 20 30 Final Project Identify the ordered pairs at x = 0, 10, 20 and 30 years either on the graph or below it. Is this a linear function? Why or why not? 5. Functions Using the added information (below) regarding compound interest, calculate the national debt will be in 5, 10, and 20 years. Show equations for all three calculations. Please find the exact values, do not round. The current national debt is $17,000,000,000. If the current compound interest rate on our national debt is 8% (compounded annually): a. What will the national debt be in 5,10, and 20 years? 6. Algebraic Equations Solve the following problem using an algebraic equation. Find the exact value and show all of your work. The current national debt is $17,000,000,000. The interest rate is 8% and is compounded annually. a. At what point does the compound interest on the national debt double the amount from the current year
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Moore College of Art and Design ANOVA F Test Using StatCrunch Project
Learn by DoingThe purpose of this activity is to give you guided practice in carrying out the ANOVA F-test using StatCrunc ...
Moore College of Art and Design ANOVA F Test Using StatCrunch Project
Learn by DoingThe purpose of this activity is to give you guided practice in carrying out the ANOVA F-test using StatCrunch.Some features of this activity may not work well on a cell phone or
tablet. We highly recommend that you complete this activity on a
computer.Here are the directions and grading rubric for the discussion board exercises. A list of StatCrunch directions is provided at the bottom of this page.ContextCritical flicker frequency (CFF) and eye colorComputer screens and fluorescent bulbs flicker. If the
frequency of the flicker is below a certain threshold, the eye detects
the flicker, and it is annoying!Different people have different flicker "threshold" frequencies (known as the critical flicker frequency, or CFF). The mean critical threshold frequency is important for product manufacturing as well as tests for ocular disease.In 1973, researchers conducted a study to answer the following question.Research question: Do people with different eye color have different threshold flicker sensitivity?The 1973 study ("The Effect of Iris Color on Critical Flicker Frequency," Journal of General Psychology [1973], 91–95) obtained the following data from a random sample of 19 subjects.
Color
ThresholdFrequency (CFF)
Blue
Brown
Green
Brown
26.8
25.7
26.8
26.4
Brown
27.9
27.2
27.9
24.2
Brown
23.7
29.9
23.7
28
Brown
25.0
28.5
25
26.9
Brown
26.3
29.4
26.3
29.1
Brown
24.8
28.3
24.8
Brown
25.7
25.7
Brown
24.5
24.5
Green
26.4
Green
24.2
Green
28.0
Green
26.9
Green
29.1
Blue
25.7
Blue
27.2
Blue
29.9
Blue
28.5
Blue
29.4
Blue
28.3
In this spreadsheet the data is presented in two formats.Stacked data: The quantitative data is stacked in one column. The first two columns show the data in a stacked format.
Each variable is a column (one column for the explanatory variable eye
color; one column for the response variable CFF) and each row is an
individual. For example, the first row is a brown-eyed person with a CFF
of 26.8.Unstacked data: The quantitative data is distributed across the groups in multiple columns. The last three columns show the same data in an unstacked format.
In this format, each column is a group defined by a value of the
explanatory variable: one column for blue-eyed people, one column for
brown-eyed people and one column for green-eyed people. Each column
contains the response values (CFF) for that group.The format of the data in the spreadsheet affects how we use StatCrunch to analyze it.VariablesColor: This is the explanatory variable. The categorical data represents the groups we will compare.CFF (flicker threshold sensitivity): This is the response variable. The quantitative data represents the frequency threshold at which the subject sees the flicker. use the Data below PromptWe will conduct an ANOVA F-test for the variables Color and CFF. The flicker datafile is available in the Data section below. Also, the StatCrunch directions are provided in the list a the bottom of this page.What are the hypotheses for the ANOVA test? Be sure that you define clearly the parameters.
Are the conditions that allow us to safely use the ANOVA F-test met? Explain.Note:
To verify conditions, you will need to examine the distribution of CFF
scores for each sample (because the samples are small).
Use StatCrunch to create side-by-side dotplots, histograms or
boxplots (your choice) to examine the distribution of CFF scores for
each sample. You can use either data format; choose one (stacked data in the first two columns; or unstacked data
in the the last three columns). To create the side-by-side graphs (for
either data format) see the list of StatCrunch directions below.
Download the StatCrunch output window (your graph), upload it to your Stats-Class
folder, and then embed the .png file (your graph) in your initial post.
To recall how to complete these tasks, see the list of StatCrunch
directions below.
You will also need to compare the sample standard deviations. Use
StatCrunch to find the summary statistics, means and standard deviations
for the comparison groups (select the the appropriate Descriptive
Statistics StatCrunch directions from the list below). Then copy and
paste the table into your initial post and explain how the rule of thumb for comparing standard deviations is met.
Use StatCrunch to carry out the ANOVA F-test (select the appropriate
ANOVA StatCrunch directions from the following two options). Copy and paste the output table into your initial post.
State your conclusion in context of eye color and mean CFF.
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Algebraic Equations, math homework help
Good Evening Last semester I have taken college algebra and I have failed miserably in the class. My main downfall in ...
Algebraic Equations, math homework help
Good Evening Last semester I have taken college algebra and I have failed miserably in the class. My main downfall in the class was my final project and my final. My final project was a three part project two of the three parts I have answered correctly, but the third none of my calculations is correct can you help me with this one? Part A Let’s consider the US national debt and the US population as a function of time. We will be using this throughout Part A of the project. 1. Algebraic Equations The current population of the United States is 317,000,000. The current national debt total is $17,000,000,000. a. Based on these figures, use algebraic equations to calculate the approximate amount of debt per citizen. Show all of your work. 2. Linear Equations Assume the population growth is a linear function that grows at a steady, unchanging rate of 0.9% per year, and that debt growth is a linear function that grows at a steady, unchanging rate of 13% per year. Using the population and debt figures from section 1: a. Find the linear equation for population in slope-intercept form. b. Find the linear equation for debt in slope-intercept form 3. Graphing Linear Equations, Algebraic Equations Begin with figuring out the algebraic equation for each, and then graph the linear equation. There will be two graphs, one for the population and one for the debt. Please show your work for how you figured out each graph. Using the population and debt information from section 1: a. Graph the linear equation for population growth and debt in two separate graphs. Label the values of the x- and y-axes and title each graph. Show x from 0 (current year) to 30 (30 years from now). b. Determine what the population and national debt will be 30 years from now. Calculate what the debt per citizen will be in 30 years. Show all your work. 4. Algebraic Equations, Graphing, and Linear Functions Using calculations from sections 1 and 3: a. Calculate the population, national debt, and debt per citizen in 10 and 20 years from now. b. Complete the table below with your calculations: c. Using the figures from the table above, graph the function that shows the amount of debt per citizen as a function of time. i. Label the values of the x- and y-axes and title the graph. ii. Show x from 0 (current year) to 30 (30 years from now). Time (years) Debt ($) Population Debt/Citizen 0 17,000,000,000 317,000,000 10 20 30 Final Project Identify the ordered pairs at x = 0, 10, 20 and 30 years either on the graph or below it. Is this a linear function? Why or why not? 5. Functions Using the added information (below) regarding compound interest, calculate the national debt will be in 5, 10, and 20 years. Show equations for all three calculations. Please find the exact values, do not round. The current national debt is $17,000,000,000. If the current compound interest rate on our national debt is 8% (compounded annually): a. What will the national debt be in 5,10, and 20 years? 6. Algebraic Equations Solve the following problem using an algebraic equation. Find the exact value and show all of your work. The current national debt is $17,000,000,000. The interest rate is 8% and is compounded annually. a. At what point does the compound interest on the national debt double the amount from the current year
7 pages
Normal Distribution
4.65 Let y be a random variable having a normal distribution with a mean equal to 250 and a 250 is the mean. Probability t ...
Normal Distribution
4.65 Let y be a random variable having a normal distribution with a mean equal to 250 and a 250 is the mean. Probability that y is greater than the ...
Moore College of Art and Design ANOVA F Test Using StatCrunch Project
Learn by DoingThe purpose of this activity is to give you guided practice in carrying out the ANOVA F-test using StatCrunc ...
Moore College of Art and Design ANOVA F Test Using StatCrunch Project
Learn by DoingThe purpose of this activity is to give you guided practice in carrying out the ANOVA F-test using StatCrunch.Some features of this activity may not work well on a cell phone or
tablet. We highly recommend that you complete this activity on a
computer.Here are the directions and grading rubric for the discussion board exercises. A list of StatCrunch directions is provided at the bottom of this page.ContextCritical flicker frequency (CFF) and eye colorComputer screens and fluorescent bulbs flicker. If the
frequency of the flicker is below a certain threshold, the eye detects
the flicker, and it is annoying!Different people have different flicker "threshold" frequencies (known as the critical flicker frequency, or CFF). The mean critical threshold frequency is important for product manufacturing as well as tests for ocular disease.In 1973, researchers conducted a study to answer the following question.Research question: Do people with different eye color have different threshold flicker sensitivity?The 1973 study ("The Effect of Iris Color on Critical Flicker Frequency," Journal of General Psychology [1973], 91–95) obtained the following data from a random sample of 19 subjects.
Color
ThresholdFrequency (CFF)
Blue
Brown
Green
Brown
26.8
25.7
26.8
26.4
Brown
27.9
27.2
27.9
24.2
Brown
23.7
29.9
23.7
28
Brown
25.0
28.5
25
26.9
Brown
26.3
29.4
26.3
29.1
Brown
24.8
28.3
24.8
Brown
25.7
25.7
Brown
24.5
24.5
Green
26.4
Green
24.2
Green
28.0
Green
26.9
Green
29.1
Blue
25.7
Blue
27.2
Blue
29.9
Blue
28.5
Blue
29.4
Blue
28.3
In this spreadsheet the data is presented in two formats.Stacked data: The quantitative data is stacked in one column. The first two columns show the data in a stacked format.
Each variable is a column (one column for the explanatory variable eye
color; one column for the response variable CFF) and each row is an
individual. For example, the first row is a brown-eyed person with a CFF
of 26.8.Unstacked data: The quantitative data is distributed across the groups in multiple columns. The last three columns show the same data in an unstacked format.
In this format, each column is a group defined by a value of the
explanatory variable: one column for blue-eyed people, one column for
brown-eyed people and one column for green-eyed people. Each column
contains the response values (CFF) for that group.The format of the data in the spreadsheet affects how we use StatCrunch to analyze it.VariablesColor: This is the explanatory variable. The categorical data represents the groups we will compare.CFF (flicker threshold sensitivity): This is the response variable. The quantitative data represents the frequency threshold at which the subject sees the flicker. use the Data below PromptWe will conduct an ANOVA F-test for the variables Color and CFF. The flicker datafile is available in the Data section below. Also, the StatCrunch directions are provided in the list a the bottom of this page.What are the hypotheses for the ANOVA test? Be sure that you define clearly the parameters.
Are the conditions that allow us to safely use the ANOVA F-test met? Explain.Note:
To verify conditions, you will need to examine the distribution of CFF
scores for each sample (because the samples are small).
Use StatCrunch to create side-by-side dotplots, histograms or
boxplots (your choice) to examine the distribution of CFF scores for
each sample. You can use either data format; choose one (stacked data in the first two columns; or unstacked data
in the the last three columns). To create the side-by-side graphs (for
either data format) see the list of StatCrunch directions below.
Download the StatCrunch output window (your graph), upload it to your Stats-Class
folder, and then embed the .png file (your graph) in your initial post.
To recall how to complete these tasks, see the list of StatCrunch
directions below.
You will also need to compare the sample standard deviations. Use
StatCrunch to find the summary statistics, means and standard deviations
for the comparison groups (select the the appropriate Descriptive
Statistics StatCrunch directions from the list below). Then copy and
paste the table into your initial post and explain how the rule of thumb for comparing standard deviations is met.
Use StatCrunch to carry out the ANOVA F-test (select the appropriate
ANOVA StatCrunch directions from the following two options). Copy and paste the output table into your initial post.
State your conclusion in context of eye color and mean CFF.
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