Description
How do find the volume under the plane x+y+z=1 , i.e. x+y+z<=1 (x,y,z are all between 0 and 1)
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
1/ 6
Reference:
http://www.math.ucla.edu/~ronmiech/Calculus_Problems/32B/chap13/section3/850d25/850_25.html
Completion Status:
100%
Review
Review
Anonymous
Really helped me to better understand my coursework. Super recommended.
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
NU Time Forecasting Project
Part 1: Short-term Forecasting:
(i) Use a simple line plot of both time series to detect seasonal, irregular, or trend be ...
NU Time Forecasting Project
Part 1: Short-term Forecasting:
(i) Use a simple line plot of both time series to detect seasonal, irregular, or trend behaviors if any.
Write a summary of your observations of both time series in your report.
(ii) Perform exponential smoothing to forecast both prices for period 253. Use successive values of
0.15, 0,36, 0.57, and 0.78 for the smoothing parameter α. Next, calculate the MAPD (Mean
Absolute Percentage Deviation) of each forecast; and based on the MAPDs, determine the value
of α that has yielded the most accurate forecast for each stock. In your report, describe your
results; and explain why in your opinion such values of α have yielded the most accurate
forecasts for the two stocks.
(iii) Use your exponential smoothing forecast of part (ii) with 𝜶=𝟎.56 and perform an adjusted
exponential smoothing to forecast both prices for period 253. Use successive values of 0.15,
0.26, 0.47, and 0.88 for the trend parameters β for both stocks. Next, calculate the MAPEs
(Mean Absolute Percentage Error) of your forecasts and determine the values of β that have
provided the most accurate forecasts for both stocks. In your report, describe your results and
explain why, in your opinion, such values of β have yielded the most accurate forecasts. part 2 (i) For each stock, use a 5-period weighted moving averages to
forecast its value during periods 1 through 100. Use the weights 0.4
(for the most recent period), 0.2 (for the period before the most
recent), 0.2 (for two periods ago), 0.1(for three periods ago) and
0.1(for four periods ago). Next, use the observed value for period
101 as the base of a linear trend, and use that linear trend to forecast
the values of both stocks for periods 101 through 257. Write a
summary of your results in your report. Describe how accurate this
method of forecasting has been by comparing the forecasted values for periods 253-257
with their actual “Close” values on those specific days (Hint: check the actual values on
https://finance.yahoo.com).
(ii) Calculate the MAPEs (Mean Absolute Percentage Error) of your forecasts in question (i)
above and compare them with the values obtained for your forecasts in Part 1. For each
stock, describe which method has yielded a most accurate forecast. part 3For each stock, use simple regression of stock values versus the time periods to predict its
values for periods 1 through 257. In your report, describe how the accuracy of this
prediction has been compared to the methods used in Parts 1 and 2 of this project.
(ii) Perform a residual analysis of your simple regression to verify whether regression is
appropriate to use for each of the given data. In particular, determine:
● Whether the residuals are independent
● Whether the residuals are homoscedastic.
● Whether the residuals are normally distributed by plotting a Normal probability plot of
the residuals
● Whether the residuals are normally distributed by performing a Chi-squared test for
Normality of the residuals.
After completing parts 1-3 and in your report, respond to the following question.
Statistical Significance
To prepare for this Discussion:Review the Learning Resources related to hypothesis testing, meaningfulness, and statistica ...
Statistical Significance
To prepare for this Discussion:Review the Learning Resources related to hypothesis testing, meaningfulness, and statistical significance.Review Magnusson’s web blog found in the Learning Resources to further your visualization and understanding of statistical power and significance testing.Review the American Statistical Association’s press release and consider the misconceptions and misuse of p-values.Consider the scenario:A research paper claims a meaningful contribution to the literature based on finding statistically significant relationships between predictor and response variables. In the footnotes, you see the following statement, “given this research was exploratory in nature, traditional levels of significance to reject the null hypotheses were relaxed to the .10 level.”By Day 3Post your response to the scenario in which you critically evaluate this footnote. As a reader/reviewer, what response would you provide to the authors about this footnote?Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.
SNHU Module 3 Discussion Model of Transistors Calculations Exercise
Solve the problem below. Copy the description of your forecast in the box below and include that as part of your initial D ...
SNHU Module 3 Discussion Model of Transistors Calculations Exercise
Solve the problem below. Copy the description of your forecast in the box below and include that as part of your initial Discussion post in Brightspace. Using "copy" from here in Mobius and "paste" into Brightspace should work.Hint: The chart is taken from https://ourworldindata.org/technological-progress.From the chart, estimate (roughly) the number of transistors per IC in 2018. Using your estimate and Moore's Law, what would you predict the number of transistors per IC to be in 2040?In some applications, the variable being studied increases so quickly ("exponentially") that a regular graph isn't informative. There, a regular graph would show data close to 0 and then a sudden spike at the very end. Instead, for these applications, we often use logarithmic scales. We replace the y-axis tick marks of 1, 2, 3, 4, etc. with y-axis tick marks of 101 = 10, 102 = 100, 103 = 1000, 104 = 10000, etc. In other words, the logarithms of the new tick marks are equally spaced.Technology is one area where progress is extraordinarily rapid. Moore's Law states that the progress of technology (measured in different ways) doubles every 2 years. A common example counts the number of transitors per integrated circuit. A regular y-axis scale is appropriate when a trend is linear, i.e. 100 transistors, 200 transistors, 300 transistors, 400 transistors, etc. However, technology actually increased at a much quicker pace such as 100 transistors,.1,000 transistors, 10,000 transistors, 100,000 transistors, etc.The following is a plot of the number of transistors per integrated circuit over the period 1971 - 2008 taken from https://ourworldindata.org/technological-progress (that site contains a lot of data, not just for technology). At first, this graph seems to show a steady progression until you look carefully at the y-axis ... it's not linear. From the graph, it seems that from 1971 to 1981 the number of transistors went from about 1,000 to 40,000. Moore's Law predicts that in 10 years, it would double 5 times, i.e. go from 1,000 to 32,000, and the actual values (using very rough estimates) seem to support this.The following is the same plot but with the common logarithm of the y-axis shown. You can see that log(y) goes up uniformly.(the map is attach)Questions to be answered in your Brightspace Discussion:Part a: The number of transistors per IC in 1972 seems to be about 4,000 (a rough estimate by eye). Using this estimate and Moore's Law, what would you predict the number of transistors per IC to be 20 years later, in 1992?Prediction = Part b: From the chart, estimate (roughly) the number of transistors per IC in 2018. Using your estimate and Moore's Law, what would you predict the number of transistors per IC to be in 2040?Part c: Do you think that your prediction in Part b is believable? Why or why not?
Risk and Portfolio Mgmt
PART IFirst, locate the financial statement (10 - K Annual Reporting) information for each company (listed below) that you ...
Risk and Portfolio Mgmt
PART IFirst, locate the financial statement (10 - K Annual Reporting) information for each company (listed below) that you will be investigating for your final project. This information can be found on each company's website within the "About U s" section or at the bottom of the homepage under "Investors."Research stock and corporate bond holdings for the following companies:Apple, Inc. (AAPL)Caterpillar (CAT)Consolidated Edison (ED)Northern Trust (NTRS)Macy's (M)Next, address the following:Calculate the rates of return for each of the securities listed in a separate Excel Spreadsheet.Once you have calculated the rates of return for these securities, briefly explain the risk/return relationship for each security.Be sure to consider the key risk factors investors must observe when making their investments and also the time value of money concept and its relevance in the financial industry.PART II WELLS FARGOOnce you have chosen your company, name some commonly used financial ratios in your industry, calculate specific ratios, and discuss the profitability of the company. Also, summarize your findings as well as discuss in general the limitations of financial ratios and those that apply directly to your industry.Specifically, the following critical elements must be addressed: Financial Ratios a) Name and describe some commonly used financial ratios in your industry. b) Calculate the return on assets (ROA) and return on equity (ROE) for a company of your choosing within your industry. (Note: the company must Profitability: Assess the profitability of the company based on the financial ratios you calculated and summarize your findings . Limitations a) In general terms, discuss the limitations of financial ratios. b) Specifically, discuss which limitations of financial ratios apply to your industry. be different from the one you choose for your final project and different from the company you chose in Module One discussion.) Yourpapermustbesubmittedasa2-pageMicrosoftWord documentwithdoublespacing,12-pointTimesNewRomanfont,one-inch margins, and at least 2 sources in addition to the textbook cited in APA format.
Similar Content
Chapter 13.1 and 13.2 CPM/PERT and uncertain activity times
Please complete the following doc. Thank you. ISO is an independent, non-governmental international organization with a me...
SDSU Simulation Environment Problems
Note: Some problems have either hints or answers in the back of the book. Please , from the 1st picture do only 21, 24, 26...
Calculate the Sample Mean Difference Statistics Questions
explain the below T-test paired two sample with the questions below and also explain the calculations
Variable...
STAT 3003 Walden University Normal Distribution Excel Worksheet
ST3003: Normal Distribution: Calculate confidence intervals and hypothesis tests for population means given normal distrib...
Project Overview, statistics homework help
The best way to understand statistical data analysis is to conduct
your own statistical study. You will work on a series...
easy question for tutor linda
what is he distance in miles of a car that travels at 60 miles per hour using 1000 gallons?...
Calc 2021 04 23
1. Find the mass of the solid cylinder in the region a) Set up the triple integral using cylindrical cooridnates that shou...
Hypothesis Testing
Running Header: HYPOTHESIS TESTING (T-TEST, ONE-WAY ANOVA, AND TWO-WAY ANOVA) Assuming we want to test the null hypothesis...
Assignment Alg
1. For this assignment, you may collaboratively work and talk through the problems but we need your 2. This assignment is ...
Related Tags
Book Guides
I Cant Make This Up - Life Lessons
by Kevin Hart
Z for Zachariah
by Robert C. O’Brien
The Life-Changing Magic of Tidying Up
by Marie Kondo
Tess of the DUrbervilles
by Thomas Hardy
Team of Vipers
by Cliff Sims
A Farewell To Arms
by Ernest Hemingway
Sula
by Toni Morrison
The Russian Hoax
by Gregg Jarrett
The Book Thief
by Markus Zusak
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
NU Time Forecasting Project
Part 1: Short-term Forecasting:
(i) Use a simple line plot of both time series to detect seasonal, irregular, or trend be ...
NU Time Forecasting Project
Part 1: Short-term Forecasting:
(i) Use a simple line plot of both time series to detect seasonal, irregular, or trend behaviors if any.
Write a summary of your observations of both time series in your report.
(ii) Perform exponential smoothing to forecast both prices for period 253. Use successive values of
0.15, 0,36, 0.57, and 0.78 for the smoothing parameter α. Next, calculate the MAPD (Mean
Absolute Percentage Deviation) of each forecast; and based on the MAPDs, determine the value
of α that has yielded the most accurate forecast for each stock. In your report, describe your
results; and explain why in your opinion such values of α have yielded the most accurate
forecasts for the two stocks.
(iii) Use your exponential smoothing forecast of part (ii) with 𝜶=𝟎.56 and perform an adjusted
exponential smoothing to forecast both prices for period 253. Use successive values of 0.15,
0.26, 0.47, and 0.88 for the trend parameters β for both stocks. Next, calculate the MAPEs
(Mean Absolute Percentage Error) of your forecasts and determine the values of β that have
provided the most accurate forecasts for both stocks. In your report, describe your results and
explain why, in your opinion, such values of β have yielded the most accurate forecasts. part 2 (i) For each stock, use a 5-period weighted moving averages to
forecast its value during periods 1 through 100. Use the weights 0.4
(for the most recent period), 0.2 (for the period before the most
recent), 0.2 (for two periods ago), 0.1(for three periods ago) and
0.1(for four periods ago). Next, use the observed value for period
101 as the base of a linear trend, and use that linear trend to forecast
the values of both stocks for periods 101 through 257. Write a
summary of your results in your report. Describe how accurate this
method of forecasting has been by comparing the forecasted values for periods 253-257
with their actual “Close” values on those specific days (Hint: check the actual values on
https://finance.yahoo.com).
(ii) Calculate the MAPEs (Mean Absolute Percentage Error) of your forecasts in question (i)
above and compare them with the values obtained for your forecasts in Part 1. For each
stock, describe which method has yielded a most accurate forecast. part 3For each stock, use simple regression of stock values versus the time periods to predict its
values for periods 1 through 257. In your report, describe how the accuracy of this
prediction has been compared to the methods used in Parts 1 and 2 of this project.
(ii) Perform a residual analysis of your simple regression to verify whether regression is
appropriate to use for each of the given data. In particular, determine:
● Whether the residuals are independent
● Whether the residuals are homoscedastic.
● Whether the residuals are normally distributed by plotting a Normal probability plot of
the residuals
● Whether the residuals are normally distributed by performing a Chi-squared test for
Normality of the residuals.
After completing parts 1-3 and in your report, respond to the following question.
Statistical Significance
To prepare for this Discussion:Review the Learning Resources related to hypothesis testing, meaningfulness, and statistica ...
Statistical Significance
To prepare for this Discussion:Review the Learning Resources related to hypothesis testing, meaningfulness, and statistical significance.Review Magnusson’s web blog found in the Learning Resources to further your visualization and understanding of statistical power and significance testing.Review the American Statistical Association’s press release and consider the misconceptions and misuse of p-values.Consider the scenario:A research paper claims a meaningful contribution to the literature based on finding statistically significant relationships between predictor and response variables. In the footnotes, you see the following statement, “given this research was exploratory in nature, traditional levels of significance to reject the null hypotheses were relaxed to the .10 level.”By Day 3Post your response to the scenario in which you critically evaluate this footnote. As a reader/reviewer, what response would you provide to the authors about this footnote?Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.
SNHU Module 3 Discussion Model of Transistors Calculations Exercise
Solve the problem below. Copy the description of your forecast in the box below and include that as part of your initial D ...
SNHU Module 3 Discussion Model of Transistors Calculations Exercise
Solve the problem below. Copy the description of your forecast in the box below and include that as part of your initial Discussion post in Brightspace. Using "copy" from here in Mobius and "paste" into Brightspace should work.Hint: The chart is taken from https://ourworldindata.org/technological-progress.From the chart, estimate (roughly) the number of transistors per IC in 2018. Using your estimate and Moore's Law, what would you predict the number of transistors per IC to be in 2040?In some applications, the variable being studied increases so quickly ("exponentially") that a regular graph isn't informative. There, a regular graph would show data close to 0 and then a sudden spike at the very end. Instead, for these applications, we often use logarithmic scales. We replace the y-axis tick marks of 1, 2, 3, 4, etc. with y-axis tick marks of 101 = 10, 102 = 100, 103 = 1000, 104 = 10000, etc. In other words, the logarithms of the new tick marks are equally spaced.Technology is one area where progress is extraordinarily rapid. Moore's Law states that the progress of technology (measured in different ways) doubles every 2 years. A common example counts the number of transitors per integrated circuit. A regular y-axis scale is appropriate when a trend is linear, i.e. 100 transistors, 200 transistors, 300 transistors, 400 transistors, etc. However, technology actually increased at a much quicker pace such as 100 transistors,.1,000 transistors, 10,000 transistors, 100,000 transistors, etc.The following is a plot of the number of transistors per integrated circuit over the period 1971 - 2008 taken from https://ourworldindata.org/technological-progress (that site contains a lot of data, not just for technology). At first, this graph seems to show a steady progression until you look carefully at the y-axis ... it's not linear. From the graph, it seems that from 1971 to 1981 the number of transistors went from about 1,000 to 40,000. Moore's Law predicts that in 10 years, it would double 5 times, i.e. go from 1,000 to 32,000, and the actual values (using very rough estimates) seem to support this.The following is the same plot but with the common logarithm of the y-axis shown. You can see that log(y) goes up uniformly.(the map is attach)Questions to be answered in your Brightspace Discussion:Part a: The number of transistors per IC in 1972 seems to be about 4,000 (a rough estimate by eye). Using this estimate and Moore's Law, what would you predict the number of transistors per IC to be 20 years later, in 1992?Prediction = Part b: From the chart, estimate (roughly) the number of transistors per IC in 2018. Using your estimate and Moore's Law, what would you predict the number of transistors per IC to be in 2040?Part c: Do you think that your prediction in Part b is believable? Why or why not?
Risk and Portfolio Mgmt
PART IFirst, locate the financial statement (10 - K Annual Reporting) information for each company (listed below) that you ...
Risk and Portfolio Mgmt
PART IFirst, locate the financial statement (10 - K Annual Reporting) information for each company (listed below) that you will be investigating for your final project. This information can be found on each company's website within the "About U s" section or at the bottom of the homepage under "Investors."Research stock and corporate bond holdings for the following companies:Apple, Inc. (AAPL)Caterpillar (CAT)Consolidated Edison (ED)Northern Trust (NTRS)Macy's (M)Next, address the following:Calculate the rates of return for each of the securities listed in a separate Excel Spreadsheet.Once you have calculated the rates of return for these securities, briefly explain the risk/return relationship for each security.Be sure to consider the key risk factors investors must observe when making their investments and also the time value of money concept and its relevance in the financial industry.PART II WELLS FARGOOnce you have chosen your company, name some commonly used financial ratios in your industry, calculate specific ratios, and discuss the profitability of the company. Also, summarize your findings as well as discuss in general the limitations of financial ratios and those that apply directly to your industry.Specifically, the following critical elements must be addressed: Financial Ratios a) Name and describe some commonly used financial ratios in your industry. b) Calculate the return on assets (ROA) and return on equity (ROE) for a company of your choosing within your industry. (Note: the company must Profitability: Assess the profitability of the company based on the financial ratios you calculated and summarize your findings . Limitations a) In general terms, discuss the limitations of financial ratios. b) Specifically, discuss which limitations of financial ratios apply to your industry. be different from the one you choose for your final project and different from the company you chose in Module One discussion.) Yourpapermustbesubmittedasa2-pageMicrosoftWord documentwithdoublespacing,12-pointTimesNewRomanfont,one-inch margins, and at least 2 sources in addition to the textbook cited in APA format.
Earn money selling
your Study Documents