Description
Simplify the difference quotient f(x+h) - f(x) all over h.
(1) f(x) = 3 + 4x^2 - 2x^3
Rewrite the following without a denominator and with rational exponents. Expand if appropriate.
(1) square root of 10 over x^7
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
Explanation & Answer
[F(X+h)-F(x)]/h is nothing but f ' X
hence
1.. 0+8x-6x^2
2.... 10x^(-7)
Please choose best answer
Completion Status:
100%
Review
Review
Anonymous
Awesome! Perfect study aid.
Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4
24/7 Homework Help
Stuck on a homework question? Our verified tutors can answer all questions, from basic math to advanced rocket science!
Most Popular Content
7.02 systems of equations
QUESTION 1Is the following system consistent or inconsistent?8x + y + 4 = 0y = -8x - 4 consistentinconsistent2 points ...
7.02 systems of equations
QUESTION 1Is the following system consistent or inconsistent?8x + y + 4 = 0y = -8x - 4 consistentinconsistent2 points QUESTION 2Is the following system consistent or inconsistent?7x + 6 = -2y-14x -4y + 2 = 0 consistentinconsistent2 points QUESTION 3Is the following system consistent or inconsistent?-2x - 2y = 610x + 10y = -30 consistentinconsistent2 points QUESTION 4Is the following system consistent or inconsistent?2y = x - 7-2x - 6y = -14 consistentinconsistent2 points QUESTION 5Is the following system consistent or inconsistent?y = 2x + 5-2x + y = -2 consistentinconsistent
6-2 Scenario Analysis: Vacation Time Assignment
The vice-president of administration at your company wonders whether employees are taking adequate amounts of vacation tim ...
6-2 Scenario Analysis: Vacation Time Assignment
The vice-president of administration at your company wonders whether employees are taking adequate amounts of vacation time. Employee burnout is a concern. Research suggests that an employee taking less than 1.4 weeks of vacation annually is very likely to experience burnout. You are asked to analyze the employee vacation data and conduct a hypothesis test with the following results:t = 2.93 p = 0.0084What factors should the vice-president consider in determining the presence of employee burnout?Do employees take more than 1.4 weeks of vacation?What reasons should the vice-president provide to the president to justify the recommendation on employee burnout?Based on the data, is the presence of employee burnout an issue that may negatively impact the company?
Stratford University Amount of Water in Bottle Central Limit Theorem Discussion
Central Limit TheoremInitial Post (250+ words):Collect some quantitative data. Find the sample mean and standard deviation ...
Stratford University Amount of Water in Bottle Central Limit Theorem Discussion
Central Limit TheoremInitial Post (250+ words):Collect some quantitative data. Find the sample mean and standard deviation. Plot it in a histogram. Does the data seem to follow the bell curve of the normal distribution? What features of the data do or do not fit in with the shape of the normal curve. How much deviation from the curve is to be expected?Now perform a normality test on your data (Shapiro-Wilk test: http://sdittami.altervista.org/shapirotest/ShapiroTest.html or http://www.brianreedpowers.com/MAT240/stats/descriptiveStats.html)– the test will give you a p-value. The higher the p-value, the more closely your data follows the normal distribution. Based on the test, do you think your data could have been drawn from a normal distribution?Responses (100+ words x2):Choose two of your classmates’ data sets. Take 30 random samples of 5 data points each (one way: Past the data here http://www.randomizelist.com/ randomize the list and take the first 5 numbers, or use the sampling feature at http://www.brianreedpowers.com/MAT240/stats/descriptiveStats.html), and calculate the average for each of these samples. You will now have 30 sample means. Create and post a histogram for your sample means. What is the mean of these means? What is the standard deviation? Does this make sense based on the Central Limit Theorem? Do the sample means follow a normal distribution? What p-value does the normality test give? How and why does this differ from the original data?Classmate #1 to respond to:Since I am very curious to analyze the statistics for the USA’s Income and improvement, I have collected the Personal Income [ in Millions of dollars] for the past year 2018. My purpose to study this data is to check which states are getting a boost on Personal Income and which states still need consideration and funds from the government to improve its economy.What is Personal Income by State?The income people living in each state and the District of Columbia get from wages, proprietors' income, dividends, interest, rents, and government benefits. These statistics help assess and compare the economic well-being of state residents. The data is collected from the website named Bureau of Economic Analysis which is an official website of the United States government. This data is collected by the Bureau of Economic Analysis from all the 50 States of the country.The mean Personal Income [Millions of dollars] in all 50 states of the United States for the year 2018 is 344567.2.The Standard deviation of Personal Income [Millions of dollars] in all 50 states of the United States for the year 2018 is 432699.8.the data doesn't seem to follow the bell curve of the normal distribution.As the Personal Income for some states is too low and for some too high, the data is not normally distributed and do not fit in with the shape of the normal curve.The data is not following the curve, but the deviation of the data is 432699.8.Classmate #2 to respond to:A survey was posted to social media to collect the heights of 30 people in inches for study. This is the data set that was used for analysis this week on normally distributed data. The sample size of 30 was chosen specifically because it is hypothesized that this is a large enough sample size to apply the Central Limit Theorem.The sample mean and standard deviation were calculated. The mean, or average of the data, was found to be 63.6 inches and the sample standard deviation was calculated to be 9.1 inches. To understand the shape of the distribution a histogram was calculated and is presented below. Since there were 30 data points, it was calculated that 6 bins should be used, and these bins would have a width of 6.2. This is demonstrated in the figure.There is a slight bell curve shape to the data, but the area in the right tail is too large to follow a strict bell-shaped pattern. We would expect a very small amount of counts in the outer two tails, with one central mode that is equal to the mean; the data here has two modes. The sample size is only 30, which is somewhat small, but large enough that one could expect to use the Central Limit Theorem to generalize a normal distribution, especially for data like height. However, small samples will always have more error in them, so the size of the sample could be expected to be causing the non-normal appearance of the data. A normality test was performed for this data set using the Shapiro-Wilk test. This test will test the hypothesis that the data is normally distributed, vs the alternative hypothesis that the data is not normally distributed. The p-value that was calculated for this information was 0.939 at the 0.10 level. This p-value is large enough that the data would appear to be normal.
2 pages
Variables And Level Of Measurements
Define the IV and DV and level of measurement in the following examples. Specifically note whether the variables are nomin ...
Variables And Level Of Measurements
Define the IV and DV and level of measurement in the following examples. Specifically note whether the variables are nominal, ordinal, interval, or ...
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.
Similar Content
statistics help
hi, I need someone to finish this assignment with using R code, I will attach the data sets then. thx ...
what kind of triangle is shown
...
mathematics with probability question
1.
probability that two randomly selected integers
from a set have a product that is...
Georgia Military College Confidence Interval Question Exam Practice
a) In a survey of 674 U.S. males ages 18 to 64, 396 say they have gone to the dentist in the past year. Find a 95% confid...
equation problems, math homework help
Hello, Need answers
this questions with details ,please .
https://alansinyal.files.wordpress.com/2012/08/method-of...
Use the information on page 115 to explain how step function's apply to postage
...
Related Tags
Book Guides
The Atlantis Gene
by S. A. Beck
Robinson Crusoe
by Daniel Defoe
Jane Eyre
by Charlotte Brontë
The Glass Palace
by Amitav Ghosh
The Scarlet Letter
by Nathaniel Hawthorne
The President is Missing
by James Patterson, Bill Clinton
Death on the Nile
by Agatha Christie
As I Lay Dying
by William Faulkner
Notes from Underground
by Fyodor Dostoyevsky
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
7.02 systems of equations
QUESTION 1Is the following system consistent or inconsistent?8x + y + 4 = 0y = -8x - 4 consistentinconsistent2 points ...
7.02 systems of equations
QUESTION 1Is the following system consistent or inconsistent?8x + y + 4 = 0y = -8x - 4 consistentinconsistent2 points QUESTION 2Is the following system consistent or inconsistent?7x + 6 = -2y-14x -4y + 2 = 0 consistentinconsistent2 points QUESTION 3Is the following system consistent or inconsistent?-2x - 2y = 610x + 10y = -30 consistentinconsistent2 points QUESTION 4Is the following system consistent or inconsistent?2y = x - 7-2x - 6y = -14 consistentinconsistent2 points QUESTION 5Is the following system consistent or inconsistent?y = 2x + 5-2x + y = -2 consistentinconsistent
6-2 Scenario Analysis: Vacation Time Assignment
The vice-president of administration at your company wonders whether employees are taking adequate amounts of vacation tim ...
6-2 Scenario Analysis: Vacation Time Assignment
The vice-president of administration at your company wonders whether employees are taking adequate amounts of vacation time. Employee burnout is a concern. Research suggests that an employee taking less than 1.4 weeks of vacation annually is very likely to experience burnout. You are asked to analyze the employee vacation data and conduct a hypothesis test with the following results:t = 2.93 p = 0.0084What factors should the vice-president consider in determining the presence of employee burnout?Do employees take more than 1.4 weeks of vacation?What reasons should the vice-president provide to the president to justify the recommendation on employee burnout?Based on the data, is the presence of employee burnout an issue that may negatively impact the company?
Stratford University Amount of Water in Bottle Central Limit Theorem Discussion
Central Limit TheoremInitial Post (250+ words):Collect some quantitative data. Find the sample mean and standard deviation ...
Stratford University Amount of Water in Bottle Central Limit Theorem Discussion
Central Limit TheoremInitial Post (250+ words):Collect some quantitative data. Find the sample mean and standard deviation. Plot it in a histogram. Does the data seem to follow the bell curve of the normal distribution? What features of the data do or do not fit in with the shape of the normal curve. How much deviation from the curve is to be expected?Now perform a normality test on your data (Shapiro-Wilk test: http://sdittami.altervista.org/shapirotest/ShapiroTest.html or http://www.brianreedpowers.com/MAT240/stats/descriptiveStats.html)– the test will give you a p-value. The higher the p-value, the more closely your data follows the normal distribution. Based on the test, do you think your data could have been drawn from a normal distribution?Responses (100+ words x2):Choose two of your classmates’ data sets. Take 30 random samples of 5 data points each (one way: Past the data here http://www.randomizelist.com/ randomize the list and take the first 5 numbers, or use the sampling feature at http://www.brianreedpowers.com/MAT240/stats/descriptiveStats.html), and calculate the average for each of these samples. You will now have 30 sample means. Create and post a histogram for your sample means. What is the mean of these means? What is the standard deviation? Does this make sense based on the Central Limit Theorem? Do the sample means follow a normal distribution? What p-value does the normality test give? How and why does this differ from the original data?Classmate #1 to respond to:Since I am very curious to analyze the statistics for the USA’s Income and improvement, I have collected the Personal Income [ in Millions of dollars] for the past year 2018. My purpose to study this data is to check which states are getting a boost on Personal Income and which states still need consideration and funds from the government to improve its economy.What is Personal Income by State?The income people living in each state and the District of Columbia get from wages, proprietors' income, dividends, interest, rents, and government benefits. These statistics help assess and compare the economic well-being of state residents. The data is collected from the website named Bureau of Economic Analysis which is an official website of the United States government. This data is collected by the Bureau of Economic Analysis from all the 50 States of the country.The mean Personal Income [Millions of dollars] in all 50 states of the United States for the year 2018 is 344567.2.The Standard deviation of Personal Income [Millions of dollars] in all 50 states of the United States for the year 2018 is 432699.8.the data doesn't seem to follow the bell curve of the normal distribution.As the Personal Income for some states is too low and for some too high, the data is not normally distributed and do not fit in with the shape of the normal curve.The data is not following the curve, but the deviation of the data is 432699.8.Classmate #2 to respond to:A survey was posted to social media to collect the heights of 30 people in inches for study. This is the data set that was used for analysis this week on normally distributed data. The sample size of 30 was chosen specifically because it is hypothesized that this is a large enough sample size to apply the Central Limit Theorem.The sample mean and standard deviation were calculated. The mean, or average of the data, was found to be 63.6 inches and the sample standard deviation was calculated to be 9.1 inches. To understand the shape of the distribution a histogram was calculated and is presented below. Since there were 30 data points, it was calculated that 6 bins should be used, and these bins would have a width of 6.2. This is demonstrated in the figure.There is a slight bell curve shape to the data, but the area in the right tail is too large to follow a strict bell-shaped pattern. We would expect a very small amount of counts in the outer two tails, with one central mode that is equal to the mean; the data here has two modes. The sample size is only 30, which is somewhat small, but large enough that one could expect to use the Central Limit Theorem to generalize a normal distribution, especially for data like height. However, small samples will always have more error in them, so the size of the sample could be expected to be causing the non-normal appearance of the data. A normality test was performed for this data set using the Shapiro-Wilk test. This test will test the hypothesis that the data is normally distributed, vs the alternative hypothesis that the data is not normally distributed. The p-value that was calculated for this information was 0.939 at the 0.10 level. This p-value is large enough that the data would appear to be normal.
2 pages
Variables And Level Of Measurements
Define the IV and DV and level of measurement in the following examples. Specifically note whether the variables are nomin ...
Variables And Level Of Measurements
Define the IV and DV and level of measurement in the following examples. Specifically note whether the variables are nominal, ordinal, interval, or ...
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.
Earn money selling
your Study Documents