LEARN MORE...

Best quality answers of the home work in statistics

Content type

User Generated

Subject

Statistics

Type

Homework

Uploaded By

tnlngevfnexne89

Pages

1

Showing Page:

1/1

At a certain instant a ball is a distance

D above soft ground, and, at this instant, is

also moving directly downward at a speed

v0. When the ball strikes the ground, it

compresses the soil below it to a distance ∆y

and comes to rest.

If its acceleration while colliding with the

ground is constant, what is that acceleration

in terms of ∆y, v0, g, and D

By formula:

v

2

= u

2

+ 2 x a x s

where, v = Final velocity = ?

u = Initial velocity = v

0

a = Acceleration = g

s = Distance travelled = D

Now we calculate the final speed of ball when it reaches the ground.

v

2

= v

0

2

+ 2Dg

or,  









 

Now let the acceleration while compression be ‘a’

where, v = Final velocity = 0

u = Initial velocity =









 

s = Distance travelled while compression = ∆y

Putting values:

0 = v

0

2

+ 2Dg + 2a(∆y)

Or,

a = -(v

0

2

+ 2Dg)/(∆y)

Sign up to view the full document!

Unformatted Attachment Preview

At a certain instant a ball is a distance D above soft ground, and, at this instant, is also moving directly downward at a speed v0. When the ball strikes the ground, it compresses the soil below it to a distance ∆y and comes to rest. If its acceleration while colliding with the ground is const ...
Purchase document to see full attachment

User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.

Studypool

4.7

Indeed

4.5

Sitejabber

4.4

24/7 Study Help

Stuck on a study question? Our verified tutors can answer all questions, from basic math to advanced rocket science!

Post question

Mat154 Statistics Project

Problem: Consider one way of modeling a problem. Say you have a device and in any given year, there is a 1 in 6 chance t ...

Mat154 Statistics Project

Problem: Consider one way of modeling a problem. Say you have a device and in any given year, there is a 1 in 6 chance that the device will fail. One question is, “On average, how long will it be before such a device fails?” This sort of problem is what will be modeled and analyzed here.Part 1 [Excel] (Empirical Analysis): Simulate 20 repetitions of obtaining a value for , that is, roll until a 1 is rolled, record the result and repeat this 20 times. For example, if you roll , then record 4 since 4 rolls were required. You can complete this using a die or simulating using Excel, Python, or some other option, e.g., Random.org. Record your rolls and counts.Compute the mean and standard deviation of your values for . Given the modeling problem we started with, interpret the mean and standard deviation you found in terms of how many years are expected before the device fails. Excel might be used for this part as it makes the calculations, recording of data, etc. very simple. However, it is not required.Part 2 [Excel] (Theoretical Analysis - Approximations): Compute approximations to expected value, variance, and standard deviation of the random variable . See the additional notes for discussion on these computations, in brief: = the probability of rolling something other than a 1 )-times, then rolling a 1 on the th throw. Make a table for the first 20 values: , the probability that you get the first 1 in at most 20 rolls. using the first 20 values for , namely . using the first 20 terms. For this, use and then use this and the above to get a rough approximation of . using the first 20 terms.Repeat the third item of Part 1:Given the modeling problem we started with, interpret and in terms of how many years are expected before the device fails. 1 2 … 20 Totals Use this table to computePart 3 [Written] (Theoretical Analysis – Exact Computations – (Optional)): Compute the expected value, variance, and standard deviation of the random variable . See the additional notes for discussion on these computations, in brief: (Expected Value) (Variance) (Standard Deviation) Hint: For computing these without directly manipulating the infinite summations that appear in the definitions of and , let be the event that a 1 is rolled on the first throw and be the complementary event, namely, that a 1 is not rolled on the first throw. It is clear that since what is rolled after the first roll is just like starting over. It is also clear that . The Law of Total Expectation (see notes) gives: This makes it quite simple to find . A similar “trick” can be used to find , here you will use .Again, the Law of Total Expectation gives: and from this it is simple to compute .

DeVry University Regression and Correlation Analysis Worksheet and Paper

Use the dependent variable (labeled Y) and one of the independent variables (labeled X1, X2, and X3) in the data file. (SE ...

DeVry University Regression and Correlation Analysis Worksheet and Paper

Use the dependent variable (labeled Y) and one of the independent variables (labeled X1, X2, and X3) in the data file. (SEE ATTACHED FILE) Select and use one independent variable throughout this analysis. Use Excel to perform the regression and correlation analysis to answer the following. The week 6 spreadsheet can be helpful in this work.Generate a scatterplot for the specified dependent variable (Y) and the selected independent variable (X), including the graph of the "best fit" line. Interpret.Determine the equation of the "best fit" line, which describes the relationship between the dependent variable and the selected independent variable.Determine the correlation coefficient. Interpret.Determine the coefficient of determination. Interpret.Test the utility of this regression model by completing a hypothesis test of b=0 using α=0.10. Interpret results, including the p-value.Based on the findings in steps 1-5, analyze the ability of the independent variable to predict the dependent variable.Compute the confidence interval for b, using a 95% confidence level. Interpret this interval.Compute the 99% confidence interval for the dependent variable, for a selected value of the independent variable. Each student can choose a value to use for the independent variable (use same value in the next step). Interpret this interval.Using the same chosen value for part (8), estimate the 99% prediction interval for the dependent variable. Interpret this interval.What can be said about the value of the dependent variable for values of the independent variable that are outside the range of the sample values? Explain.Describe a business decision that could be made based on the results of this analysis. In other words, how might the business operations change based on these statistical results.All DeVry University policies are in effect, including the plagiarism policy.Final Project report is due by the end of Week 7.Final Project is worth 130 total points. See grading rubric below.Summarize your results from Steps 1-11 in a 3-page report. The report should explain and interpret the results in ways that are understandable to someone who does not know statistics.Submission: The Word document, summary report should be submitted for questions 1-11. The Excel output can be included as an appendix, if needed.Format for report:Summary ReportSteps 1-11 addressed with appropriate output, graphs and interpretations. Be sure to number each step 1-11.The Word document, summary report should be submitted for questions 1-11. The Excel output can be included as an appendix, if needed.

3 pages

a. Looking at the above graph, identif y the number of odd vertices. = 9 (all joined to 3 b. Looking at the above graph, i ...

a. Looking at the above graph, identif y the number of odd vertices. = 9 (all joined to 3 b. Looking at the above graph, identif y the number of even ...

ECON 2300 University of Sydney Introductory Econometrics Worksheet

ECON 2300 University of Sydney Introductory Econometrics Worksheet

11 pages

For the next four problems just do the following: A. Identify the independent variable(s) – if any (and define them prec ...

For the next four problems just do the following: A. Identify the independent variable(s) – if any (and define them precisely and

Probability, Mastery Exercise Quiz help

I need to complete Mastery Exercise quiz based on Probability that contains 15 questions. It is not timed, and you have 2 ...

Probability, Mastery Exercise Quiz help

I need to complete Mastery Exercise quiz based on Probability that contains 15 questions. It is not timed, and you have 2 more attempts to get a satisfactory grade on it as I failed 1 attempt already.I will provide login/password information upon agreement.Sample Questions:1) Find the probability you will win a Wii bowling tournament given these odds:(Round your answers to three decimal places.) 9:8 in favor of you winning. = ? 1:8 against you winning. = ? 3:2 in favor of you winning. = ? 7:6 against you winning. = ? Given these odds, the probability you will win a Wii bowling tournament is ?2) During a game of Blackjack, three players are dealt two cards each, and the dealer has two cards. No one has a card that is worth 10 or 11, which would be a 10, a face card, or an ace. What is the probability that the next player dealt a card would get a card worth 10 or 11? Express your answer as an integer or a simplified fraction.

Similar Documents

Identify a business problem or opportunity at a company where you work or with which you're familiar

Business Decision Making Project Part 1...

Non Residential Food Waste in Canada Presentation

My greetings, I want to thank you for your soon provided time and service. This assignment will be incorporating mathemati...

College of St Joseph Combinations and Permutations Math Discussion

1. Discuss the difference between combinations and permutations in your own words (3-4 sentence minimum). 2. Provide a ...

mathematics question

LJMU Terminal Velocity Question

Liverpool John Moores University X /modules/unproctored Test.QuestionSheet Jan22 FirstSit Sit % 5 Launch Meeting - Zoom T ...

UMUC Mathematics Worksheet

Jackson and Melissa have been involved for 2 years and just learned that they are pregnant. • • • • • • They...

Answers Ps Unit 10

The Always Run battery company advertises that its battery lasts longer than batteries made by other companies. We randoml...

Statistic Question

Given the pulse for the two sample distributions, the following are the pulse rates. Sample A Pulse rates (beats per minut...

a. Find a recent article in the news that uses a confidence interval for its reporting Article Title: TV ownership may be ...

Study help

Our tutors provide high quality explanations & answers.

Post question

Mat154 Statistics Project

Problem: Consider one way of modeling a problem. Say you have a device and in any given year, there is a 1 in 6 chance t ...

Mat154 Statistics Project

Problem: Consider one way of modeling a problem. Say you have a device and in any given year, there is a 1 in 6 chance that the device will fail. One question is, “On average, how long will it be before such a device fails?” This sort of problem is what will be modeled and analyzed here.Part 1 [Excel] (Empirical Analysis): Simulate 20 repetitions of obtaining a value for , that is, roll until a 1 is rolled, record the result and repeat this 20 times. For example, if you roll , then record 4 since 4 rolls were required. You can complete this using a die or simulating using Excel, Python, or some other option, e.g., Random.org. Record your rolls and counts.Compute the mean and standard deviation of your values for . Given the modeling problem we started with, interpret the mean and standard deviation you found in terms of how many years are expected before the device fails. Excel might be used for this part as it makes the calculations, recording of data, etc. very simple. However, it is not required.Part 2 [Excel] (Theoretical Analysis - Approximations): Compute approximations to expected value, variance, and standard deviation of the random variable . See the additional notes for discussion on these computations, in brief: = the probability of rolling something other than a 1 )-times, then rolling a 1 on the th throw. Make a table for the first 20 values: , the probability that you get the first 1 in at most 20 rolls. using the first 20 values for , namely . using the first 20 terms. For this, use and then use this and the above to get a rough approximation of . using the first 20 terms.Repeat the third item of Part 1:Given the modeling problem we started with, interpret and in terms of how many years are expected before the device fails. 1 2 … 20 Totals Use this table to computePart 3 [Written] (Theoretical Analysis – Exact Computations – (Optional)): Compute the expected value, variance, and standard deviation of the random variable . See the additional notes for discussion on these computations, in brief: (Expected Value) (Variance) (Standard Deviation) Hint: For computing these without directly manipulating the infinite summations that appear in the definitions of and , let be the event that a 1 is rolled on the first throw and be the complementary event, namely, that a 1 is not rolled on the first throw. It is clear that since what is rolled after the first roll is just like starting over. It is also clear that . The Law of Total Expectation (see notes) gives: This makes it quite simple to find . A similar “trick” can be used to find , here you will use .Again, the Law of Total Expectation gives: and from this it is simple to compute .

DeVry University Regression and Correlation Analysis Worksheet and Paper

Use the dependent variable (labeled Y) and one of the independent variables (labeled X1, X2, and X3) in the data file. (SE ...

DeVry University Regression and Correlation Analysis Worksheet and Paper

Use the dependent variable (labeled Y) and one of the independent variables (labeled X1, X2, and X3) in the data file. (SEE ATTACHED FILE) Select and use one independent variable throughout this analysis. Use Excel to perform the regression and correlation analysis to answer the following. The week 6 spreadsheet can be helpful in this work.Generate a scatterplot for the specified dependent variable (Y) and the selected independent variable (X), including the graph of the "best fit" line. Interpret.Determine the equation of the "best fit" line, which describes the relationship between the dependent variable and the selected independent variable.Determine the correlation coefficient. Interpret.Determine the coefficient of determination. Interpret.Test the utility of this regression model by completing a hypothesis test of b=0 using α=0.10. Interpret results, including the p-value.Based on the findings in steps 1-5, analyze the ability of the independent variable to predict the dependent variable.Compute the confidence interval for b, using a 95% confidence level. Interpret this interval.Compute the 99% confidence interval for the dependent variable, for a selected value of the independent variable. Each student can choose a value to use for the independent variable (use same value in the next step). Interpret this interval.Using the same chosen value for part (8), estimate the 99% prediction interval for the dependent variable. Interpret this interval.What can be said about the value of the dependent variable for values of the independent variable that are outside the range of the sample values? Explain.Describe a business decision that could be made based on the results of this analysis. In other words, how might the business operations change based on these statistical results.All DeVry University policies are in effect, including the plagiarism policy.Final Project report is due by the end of Week 7.Final Project is worth 130 total points. See grading rubric below.Summarize your results from Steps 1-11 in a 3-page report. The report should explain and interpret the results in ways that are understandable to someone who does not know statistics.Submission: The Word document, summary report should be submitted for questions 1-11. The Excel output can be included as an appendix, if needed.Format for report:Summary ReportSteps 1-11 addressed with appropriate output, graphs and interpretations. Be sure to number each step 1-11.The Word document, summary report should be submitted for questions 1-11. The Excel output can be included as an appendix, if needed.

3 pages

a. Looking at the above graph, identif y the number of odd vertices. = 9 (all joined to 3 b. Looking at the above graph, i ...

a. Looking at the above graph, identif y the number of odd vertices. = 9 (all joined to 3 b. Looking at the above graph, identif y the number of even ...

ECON 2300 University of Sydney Introductory Econometrics Worksheet

ECON 2300 University of Sydney Introductory Econometrics Worksheet

11 pages

For the next four problems just do the following: A. Identify the independent variable(s) – if any (and define them prec ...

For the next four problems just do the following: A. Identify the independent variable(s) – if any (and define them precisely and

Probability, Mastery Exercise Quiz help

I need to complete Mastery Exercise quiz based on Probability that contains 15 questions. It is not timed, and you have 2 ...

Probability, Mastery Exercise Quiz help

I need to complete Mastery Exercise quiz based on Probability that contains 15 questions. It is not timed, and you have 2 more attempts to get a satisfactory grade on it as I failed 1 attempt already.I will provide login/password information upon agreement.Sample Questions:1) Find the probability you will win a Wii bowling tournament given these odds:(Round your answers to three decimal places.) 9:8 in favor of you winning. = ? 1:8 against you winning. = ? 3:2 in favor of you winning. = ? 7:6 against you winning. = ? Given these odds, the probability you will win a Wii bowling tournament is ?2) During a game of Blackjack, three players are dealt two cards each, and the dealer has two cards. No one has a card that is worth 10 or 11, which would be a 10, a face card, or an ace. What is the probability that the next player dealt a card would get a card worth 10 or 11? Express your answer as an integer or a simplified fraction.