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Topic 5 Exercises
It’s well established, we’ll assume, that lab rats require an average of 32 trials in a complex water maze before reac ...
Topic 5 Exercises
It’s well established, we’ll assume, that lab rats require an average of 32 trials in a complex water maze before reaching a learning criterion of ...
Correlation and Causality Discussion
For this discussion, you will create an initial post that answers all of the following questions:Use the internet to find ...
Correlation and Causality Discussion
For this discussion, you will create an initial post that answers all of the following questions:Use the internet to find a social science journal publication that is in your area of interest and that uses correlation to investigate the relationship between any two variables. This may take some time, and you can use SNHU’s Library Resources Guide for Undergraduate and Graduate Psychology Students or Google Scholar for help. Include the link to the journal article here.Write a paragraph-long review of the paper and be sure to include the correlation study. What variables are being compared and why?Explain the conclusion reached in the paper. What is the r-value? How would you describe the relationship between the variables? What conclusions did the authors draw?What are the important differences between correlation and causality? Give an example of any two variables that are correlated but not causally related. Feel free to choose examples from your work or life experience.MUST BE PLAGIARISM FREE, FREE OF SPELLING GRAMMAR IN-TEXT AND REFERENCES
GCCD Mod 16 Introduction to Confidence Intervals & Sample Size Discussion
Learn by DoingHere are the directions, grading rubric, and definition of high-quality feedback for the Learn by Doing disc ...
GCCD Mod 16 Introduction to Confidence Intervals & Sample Size Discussion
Learn by DoingHere are the directions, grading rubric, and definition of high-quality feedback for the Learn by Doing discussion board exercises. ContextA Gallup poll conducted in November of 2011 asked the following question, “What would you say is the most urgent health problem facing this country at the present time?” The choices were access, cost, obesity, cancer, government interference, or the flu. The responses were access (27%), cost (20%), obesity (14%), cancer (13%), government interference (3%), or the flu (less than 0.5%).The following is an excerpt from the Survey Methods section. “Results for this Gallup poll are based on telephone interviews conducted Nov. 3-6, 2011, with a random sample of 1,012 adults ages 18 and older, living in all 50 U.S. states and the District of Columbia. For results based on a total sample of national adults, one can say with 95% confidence that the maximum margin of sampling error is ±4 percentage points.”PromptIf we accept the maximum margin of sampling error provided above, find a 95% confidence interval to estimate the percentage of U.S. adults who feel that access to healthcare is the most urgent health problem facing this country. Interpret your interval in context.
UCLA Limits Algebraic Limit Theorem Desired Inequality & Limit Theorem Worksheet
3. Let xn =
2n+1
3n+7 .
(a) Prove, directly using the definition, that limn→∞
xn =
2
3
.
(b) Prove, using the ...
UCLA Limits Algebraic Limit Theorem Desired Inequality & Limit Theorem Worksheet
3. Let xn =
2n+1
3n+7 .
(a) Prove, directly using the definition, that limn→∞
xn =
2
3
.
(b) Prove, using the algebraic limit theorem, that limn→∞
xn =
2
3 8. (a) Let (xn) be bounded (not necessarily convergent) and assume that yn → 0 as
n → ∞. Show that xnyn → 0 as n → ∞. (Why can we not just use the Algebraic
limit theorem?)
(b) What about if yn → y as n → ∞ where y 6= 0?10. For the following, provide an example or prove that no such request is possible. You
may appeal to results from lectures.
(a) Sequences (xn) and (yn) which both diverge, but whose sum (xn + yn) converges.
(b) Sequences (xn), which converges, and (yn), which diverges, but whose sum (xn+yn)
converges.
(c) A convergent sequence (xn), such that xn 6= 0 for all n ∈ N and (1/xn) diverges.
(d) An unbounded sequence (xn) and a convergent sequence (yn) with (xn−yn) bounded.
(e) two sequences (xn) and (yn), where (xnyn) and (xn) converge, but (yn) does not
converge.
MIS655 Woodlands University Nonlinear Optimization Problems Discussion
Please answer the following questions using a minimum of 250 words for each question. Each question should include at leas ...
MIS655 Woodlands University Nonlinear Optimization Problems Discussion
Please answer the following questions using a minimum of 250 words for each question. Each question should include at least one reference. Topic 3 DQ 1Description:Before computers were widespread, almost all risk analysis was done without simulation. Therefore,only a handful of scenarios could be formulated to understand the risk of a decision. Typically, abest-case and worst-case scenario was determined and decisions were based on these twoscenarios. What are some of the drawbacks of this decision-making approach? Specifically, howdoes the capability to summarize 1,000s of simulated scenarios improve the approach? Topic 3 DQ 2Description:By definition, simulations require a distribution to be specified (e.g., normal, Poisson). Many times,the exact distribution to be used is unknown, so it must be assumed. One argument against usingsimulations to perform risk analysis is that there is no real benefit because the set of assumptions issimply shifted from assumed parameter values to assumed distributions of parameters. Comment onthis argument and justify your opinions with reasons, facts, and examples. Topic 4 DQ 1Description:Many times, linear optimization is used to maximize an objective function because profit, productivity,or efficiency is the outcome of interest. Provide two examples where the goal is to optimize a processby minimizing an objective function. In your examples, identify the outcome and any constraints thatwould need to be met. Topic 4 DQ 2Description:When many constraints are present in a linear optimization problem, there is a greater chance that aredundant constraint exists. Assume you are trying to maximize an objective function and you havetwo decision variables, X1 and X2. If a redundant constraint exists, does the constraint becomenecessary if you try to minimize (instead of maximize) the same objective function? Why? Do youneed an objective function to determine if a constraint is redundant? Explain. Topic 5 DQ 1Description:Many linear optimization problems can be solved by finding a graphical solution, but there are someproblems that require more advanced spreadsheets and software to find an optimal solution.Describe an optimization problem in which finding a solution would be impossible using thefeasible-region approach. Discuss the attributes the problem would have to make it impossible tosolve using the feasible-region approach. Topic 5 DQ 2Description:Optimization techniques are used in many applications. For example, when customers order productsfrom an online store, the shipper has to determine the optimal way to get the product delivered to thecustomer. The delivery path that is chosen is the path that minimizes shipping costs whilesimultaneously satisfying these constraints:The product must arrive by a promised date.The shipper must deliver a finite set of items.The product must originate from one of several warehouse hubs across the country.Discuss whether there can be multiple solutions (i.e., more than one path to get the product to yourhouse). Explain why. Is there a guarantee that a solution always exists? Explain. Topic 6 DQ 1Description:Most transshipment network modeling problems assume the costs are constant. For example, thecosts of shipping a product from one city to another are assumed fixed. This can change over time iffuel costs change. If you knew the distribution of fuel costs, how could the distribution of fuel costs beincorporated into the transshipment problem? Discuss the benefits of employing this approach. Topic 6 DQ 2Description:Minimum spanning trees were initially design to solve electrical grid problems but now have manymore applications such as computer networks, transportation networks, and supply networks.Describe a business problem where minimum spanning trees can be used to find a solution. Topic 7 DQ 1Description:Can linear and nonlinear optimization problems use the same approach to find a solution? Forexample, if the GRG algorithm is used to solve a nonlinear optimization problem, will it work to solvea linear optimization problem? Discuss whether or not the GRG algorithm will always find a cornerpoint similar to the feasible-region approach. Topic 7 DQ 2Description:Nonlinear optimization problems can have multiple solutions, and a solution can be local or global.Can there be multiple local solutions? Explain your answer. Can there be multiple global solutions?Explain our answer. Topic 8 DQ 1Description:Betamax (or Beta) was a video recording format developed by Sony in the 1970s. Sony conductedresearch and found that consumers wanted a high-quality picture when using a Beta cassette withtheir home recording equipment. Sony developed the technology with video quality in mind and, as aconsequence, limited the recording time to only 60 minutes.At the same time, JVC developed the Video Home System (VHS) but without much consumerresearch. JVC was more interested in developing a unified standard for broadcast operations.Consequently, they focused more on extending the recording time for their VHS cassettes at theexpense of picture quality.In the end, the VHS format won by eventually squeezing the Beta format out of the market. Discussthe approaches these two companies took in the good decisions/good outcomes context. Topic 8 DQ 2Description:Suppose you received two job offers when looking for a job, one from Company A and one fromCompany B. To make a decision, what type of methodology would you use: probabilistic ornonprobabilistic? Whichever you choose, describe the items to consider and the decision rules youwould use before deciding which job offer to accept.
Sampling Distributions – Real Estate?, homework help
Use the real estate data that is give in question 1 and 2.And complete the Sampling Distributions - Real Estate questions ...
Sampling Distributions – Real Estate?, homework help
Use the real estate data that is give in question 1 and 2.And complete the Sampling Distributions - Real Estate questions 3 and 4.1. Review the data and for the purpose of
this project please consider the 100 listing prices as a population. - Explain what your computed population mean and population standard deviation were.Answer -Population mean is
an average of 100 listing prices, μ = (Σ * X)/ N
= $67,118,514/100 = $671,185.14. The computed
population mean for the 100 listing prices was $671,185.14. Population Standard Deviation is a measure of how spreads out numbers are. Researchers use statistics to estimate parameters, refer to a numerical property of a population. The real estate population Standard Deviation was σ= $274,980.89.2. Divide the 100 listing prices into 10 samples of n=10 each. Each of your 10 samples will tend to be random if the first sample includes houses 1 through 10 on your spreadsheet, the second sample consists of houses 11 through 20, and so on.Compute the mean of each of the 10 samples and list them:Answer- n=10 (Sample 1: listings 1-10) Mean = $561,808.90 n=10 (Sample 2: listings 11-20) Mean = $602,175.00 n=10 (Sample 3: listings 21-30) Mean = $783,299.50 n=10 (Sample 4: listings 31-40) Mean = $738,140.00 n=10 (Sample 5: listings 41-50) Mean = $842,058.80 n=10 (Sample 6: listings 51-60) Mean = $817,098.80 n=10 (Sample 7: listings 61-70) Mean = $626,167.60 n=10 (Sample 8: listings 71-80) Mean = $671,445.00 n=10 (Sample 9: listings 81-90) Mean = $498,889.00 n=10 (Sample 10: listings 91-100) Mean = $570,768.80 3. Compute
the mean of those 10 means.- Explain
how the mean of the means is equal, or
not, to the population mean of the 100 listing prices
from above.4. Compute
the standard deviation of those 10 means and compare the standard deviation of
the 10 means to the population standard deviation of all 100 listing
prices.- Explain
why it is significantly higher, or lower, than the population standard
deviation.For additional information use the attachment as reference.
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13 pages
Topic 5 Exercises
It’s well established, we’ll assume, that lab rats require an average of 32 trials in a complex water maze before reac ...
Topic 5 Exercises
It’s well established, we’ll assume, that lab rats require an average of 32 trials in a complex water maze before reaching a learning criterion of ...
Correlation and Causality Discussion
For this discussion, you will create an initial post that answers all of the following questions:Use the internet to find ...
Correlation and Causality Discussion
For this discussion, you will create an initial post that answers all of the following questions:Use the internet to find a social science journal publication that is in your area of interest and that uses correlation to investigate the relationship between any two variables. This may take some time, and you can use SNHU’s Library Resources Guide for Undergraduate and Graduate Psychology Students or Google Scholar for help. Include the link to the journal article here.Write a paragraph-long review of the paper and be sure to include the correlation study. What variables are being compared and why?Explain the conclusion reached in the paper. What is the r-value? How would you describe the relationship between the variables? What conclusions did the authors draw?What are the important differences between correlation and causality? Give an example of any two variables that are correlated but not causally related. Feel free to choose examples from your work or life experience.MUST BE PLAGIARISM FREE, FREE OF SPELLING GRAMMAR IN-TEXT AND REFERENCES
GCCD Mod 16 Introduction to Confidence Intervals & Sample Size Discussion
Learn by DoingHere are the directions, grading rubric, and definition of high-quality feedback for the Learn by Doing disc ...
GCCD Mod 16 Introduction to Confidence Intervals & Sample Size Discussion
Learn by DoingHere are the directions, grading rubric, and definition of high-quality feedback for the Learn by Doing discussion board exercises. ContextA Gallup poll conducted in November of 2011 asked the following question, “What would you say is the most urgent health problem facing this country at the present time?” The choices were access, cost, obesity, cancer, government interference, or the flu. The responses were access (27%), cost (20%), obesity (14%), cancer (13%), government interference (3%), or the flu (less than 0.5%).The following is an excerpt from the Survey Methods section. “Results for this Gallup poll are based on telephone interviews conducted Nov. 3-6, 2011, with a random sample of 1,012 adults ages 18 and older, living in all 50 U.S. states and the District of Columbia. For results based on a total sample of national adults, one can say with 95% confidence that the maximum margin of sampling error is ±4 percentage points.”PromptIf we accept the maximum margin of sampling error provided above, find a 95% confidence interval to estimate the percentage of U.S. adults who feel that access to healthcare is the most urgent health problem facing this country. Interpret your interval in context.
UCLA Limits Algebraic Limit Theorem Desired Inequality & Limit Theorem Worksheet
3. Let xn =
2n+1
3n+7 .
(a) Prove, directly using the definition, that limn→∞
xn =
2
3
.
(b) Prove, using the ...
UCLA Limits Algebraic Limit Theorem Desired Inequality & Limit Theorem Worksheet
3. Let xn =
2n+1
3n+7 .
(a) Prove, directly using the definition, that limn→∞
xn =
2
3
.
(b) Prove, using the algebraic limit theorem, that limn→∞
xn =
2
3 8. (a) Let (xn) be bounded (not necessarily convergent) and assume that yn → 0 as
n → ∞. Show that xnyn → 0 as n → ∞. (Why can we not just use the Algebraic
limit theorem?)
(b) What about if yn → y as n → ∞ where y 6= 0?10. For the following, provide an example or prove that no such request is possible. You
may appeal to results from lectures.
(a) Sequences (xn) and (yn) which both diverge, but whose sum (xn + yn) converges.
(b) Sequences (xn), which converges, and (yn), which diverges, but whose sum (xn+yn)
converges.
(c) A convergent sequence (xn), such that xn 6= 0 for all n ∈ N and (1/xn) diverges.
(d) An unbounded sequence (xn) and a convergent sequence (yn) with (xn−yn) bounded.
(e) two sequences (xn) and (yn), where (xnyn) and (xn) converge, but (yn) does not
converge.
MIS655 Woodlands University Nonlinear Optimization Problems Discussion
Please answer the following questions using a minimum of 250 words for each question. Each question should include at leas ...
MIS655 Woodlands University Nonlinear Optimization Problems Discussion
Please answer the following questions using a minimum of 250 words for each question. Each question should include at least one reference. Topic 3 DQ 1Description:Before computers were widespread, almost all risk analysis was done without simulation. Therefore,only a handful of scenarios could be formulated to understand the risk of a decision. Typically, abest-case and worst-case scenario was determined and decisions were based on these twoscenarios. What are some of the drawbacks of this decision-making approach? Specifically, howdoes the capability to summarize 1,000s of simulated scenarios improve the approach? Topic 3 DQ 2Description:By definition, simulations require a distribution to be specified (e.g., normal, Poisson). Many times,the exact distribution to be used is unknown, so it must be assumed. One argument against usingsimulations to perform risk analysis is that there is no real benefit because the set of assumptions issimply shifted from assumed parameter values to assumed distributions of parameters. Comment onthis argument and justify your opinions with reasons, facts, and examples. Topic 4 DQ 1Description:Many times, linear optimization is used to maximize an objective function because profit, productivity,or efficiency is the outcome of interest. Provide two examples where the goal is to optimize a processby minimizing an objective function. In your examples, identify the outcome and any constraints thatwould need to be met. Topic 4 DQ 2Description:When many constraints are present in a linear optimization problem, there is a greater chance that aredundant constraint exists. Assume you are trying to maximize an objective function and you havetwo decision variables, X1 and X2. If a redundant constraint exists, does the constraint becomenecessary if you try to minimize (instead of maximize) the same objective function? Why? Do youneed an objective function to determine if a constraint is redundant? Explain. Topic 5 DQ 1Description:Many linear optimization problems can be solved by finding a graphical solution, but there are someproblems that require more advanced spreadsheets and software to find an optimal solution.Describe an optimization problem in which finding a solution would be impossible using thefeasible-region approach. Discuss the attributes the problem would have to make it impossible tosolve using the feasible-region approach. Topic 5 DQ 2Description:Optimization techniques are used in many applications. For example, when customers order productsfrom an online store, the shipper has to determine the optimal way to get the product delivered to thecustomer. The delivery path that is chosen is the path that minimizes shipping costs whilesimultaneously satisfying these constraints:The product must arrive by a promised date.The shipper must deliver a finite set of items.The product must originate from one of several warehouse hubs across the country.Discuss whether there can be multiple solutions (i.e., more than one path to get the product to yourhouse). Explain why. Is there a guarantee that a solution always exists? Explain. Topic 6 DQ 1Description:Most transshipment network modeling problems assume the costs are constant. For example, thecosts of shipping a product from one city to another are assumed fixed. This can change over time iffuel costs change. If you knew the distribution of fuel costs, how could the distribution of fuel costs beincorporated into the transshipment problem? Discuss the benefits of employing this approach. Topic 6 DQ 2Description:Minimum spanning trees were initially design to solve electrical grid problems but now have manymore applications such as computer networks, transportation networks, and supply networks.Describe a business problem where minimum spanning trees can be used to find a solution. Topic 7 DQ 1Description:Can linear and nonlinear optimization problems use the same approach to find a solution? Forexample, if the GRG algorithm is used to solve a nonlinear optimization problem, will it work to solvea linear optimization problem? Discuss whether or not the GRG algorithm will always find a cornerpoint similar to the feasible-region approach. Topic 7 DQ 2Description:Nonlinear optimization problems can have multiple solutions, and a solution can be local or global.Can there be multiple local solutions? Explain your answer. Can there be multiple global solutions?Explain our answer. Topic 8 DQ 1Description:Betamax (or Beta) was a video recording format developed by Sony in the 1970s. Sony conductedresearch and found that consumers wanted a high-quality picture when using a Beta cassette withtheir home recording equipment. Sony developed the technology with video quality in mind and, as aconsequence, limited the recording time to only 60 minutes.At the same time, JVC developed the Video Home System (VHS) but without much consumerresearch. JVC was more interested in developing a unified standard for broadcast operations.Consequently, they focused more on extending the recording time for their VHS cassettes at theexpense of picture quality.In the end, the VHS format won by eventually squeezing the Beta format out of the market. Discussthe approaches these two companies took in the good decisions/good outcomes context. Topic 8 DQ 2Description:Suppose you received two job offers when looking for a job, one from Company A and one fromCompany B. To make a decision, what type of methodology would you use: probabilistic ornonprobabilistic? Whichever you choose, describe the items to consider and the decision rules youwould use before deciding which job offer to accept.
Sampling Distributions – Real Estate?, homework help
Use the real estate data that is give in question 1 and 2.And complete the Sampling Distributions - Real Estate questions ...
Sampling Distributions – Real Estate?, homework help
Use the real estate data that is give in question 1 and 2.And complete the Sampling Distributions - Real Estate questions 3 and 4.1. Review the data and for the purpose of
this project please consider the 100 listing prices as a population. - Explain what your computed population mean and population standard deviation were.Answer -Population mean is
an average of 100 listing prices, μ = (Σ * X)/ N
= $67,118,514/100 = $671,185.14. The computed
population mean for the 100 listing prices was $671,185.14. Population Standard Deviation is a measure of how spreads out numbers are. Researchers use statistics to estimate parameters, refer to a numerical property of a population. The real estate population Standard Deviation was σ= $274,980.89.2. Divide the 100 listing prices into 10 samples of n=10 each. Each of your 10 samples will tend to be random if the first sample includes houses 1 through 10 on your spreadsheet, the second sample consists of houses 11 through 20, and so on.Compute the mean of each of the 10 samples and list them:Answer- n=10 (Sample 1: listings 1-10) Mean = $561,808.90 n=10 (Sample 2: listings 11-20) Mean = $602,175.00 n=10 (Sample 3: listings 21-30) Mean = $783,299.50 n=10 (Sample 4: listings 31-40) Mean = $738,140.00 n=10 (Sample 5: listings 41-50) Mean = $842,058.80 n=10 (Sample 6: listings 51-60) Mean = $817,098.80 n=10 (Sample 7: listings 61-70) Mean = $626,167.60 n=10 (Sample 8: listings 71-80) Mean = $671,445.00 n=10 (Sample 9: listings 81-90) Mean = $498,889.00 n=10 (Sample 10: listings 91-100) Mean = $570,768.80 3. Compute
the mean of those 10 means.- Explain
how the mean of the means is equal, or
not, to the population mean of the 100 listing prices
from above.4. Compute
the standard deviation of those 10 means and compare the standard deviation of
the 10 means to the population standard deviation of all 100 listing
prices.- Explain
why it is significantly higher, or lower, than the population standard
deviation.For additional information use the attachment as reference.
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