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University of New Hampshire Quick Logic Proof Questions
Quick question about logic, which won't take 10mins if you are good at solving it. Please using the formate which the samp ...
University of New Hampshire Quick Logic Proof Questions
Quick question about logic, which won't take 10mins if you are good at solving it. Please using the formate which the sample shows, which the step by step. And there are some rules to help you to explain the each steps. Please give me the quality answer as soon as possible.
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A random sample of 5 year old children is evaluated for being left- or right-handed. The size n = 100 children of which 79 ...
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A random sample of 5 year old children is evaluated for being left- or right-handed. The size n = 100 children of which 79 are right-handed, 15 are ...
Module 4: Discussion Forum binomial random variable X
A binomial random variable X is defined as the number of successes achieved in the n trials of a Bernoulli process. Descri ...
Module 4: Discussion Forum binomial random variable X
A binomial random variable X is defined as the number of successes achieved in the n trials of a Bernoulli process. Describe an event in your life that fits the properties of a Bernoulli process, being sure to explain how each property is met by your event. Finally, state the number of trials and the number of successes for your event. Be specific.Respond with thoughtful substantive responses to at least two classmates’ postings.
SPHS 505 American Public University Statistic Project
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SPHS 505 American Public University Statistic Project
For this assignment, please include all of the required information below into a Word document and upload the completed file as an attachment. . For this project you will write an original research question on any topic in the Health Sciences and create a fictitious data set to analyze your data using Excel and answer your research question. Then, you will summarize your findings in a journal-style results section including any tables or statistical output you deem necessary to explain your findings. At a minimum, include the following: research question, null and alternate hypotheses, independent and dependent variable, description of the statistical test used, your results from that test using your fictitious data and concluding statements relating back to your hypotheses. Do not simply include your statistical output. Instead, make sure you explain and interpret the statistical output.
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1. The Hoylake Rescue Squad receives an emergency call every 1, 2, 3, 4, 5, or 6 hours, according to the following probability distribution. The squad is on duty 24 hours per day, 7 days per week: Time Between Emergency Calls (hr.) Probability 1 0.15 2 0.10 3 0.20 4 0.25 5 0.20 6 0.10 1.00 a. Simulate the emergency calls for 3 days (note that this will require a “running” , or cumulative, hourly clock), using the random number table. b. Compute the average time between calls and compare this value with the expected value of the time between calls from the probability distribution. Why are the result different? 2. The time between arrivals of cars at the Petroco Services Station is defined by the following probability distribution: Time Between Emergency Calls (hr.) Probability 1 0.35 2 0.25 3 0.20 4 0.20 1.00 MAT540 Homework Week 3 Page 2 of 3 a. Simulate the arrival of cars at the service station for 20 arrivals and compute the average time between arrivals. b. Simulate the arrival of cars at the service station for 1 hour, using a different stream of random numbers from those used in (a) and compute the average time between arrivals. c. Compare the results obtained in (a) and (b). 3. The Dynaco Manufacturing Company produces a product in a process consisting of operations of five machines. The probability distribution of the number of machines that will break down in a week follows: Machine Breakdowns Per Week Probability 0 0.10 1 0.20 2 0.15 3 0.30 4 0.15 5 0.10 1.00 a. Simulate the machine breakdowns per week for 20 weeks. b. Compute the average number of machines that will break down per week. 4. Simulate the following decision situation for 20 weeks, and recommend the best decision. A concessions manager at the Tech versus A&M football game must decide whether to have the vendors sell sun visors or umbrellas. There is a 30% chance of rain, a 15% chance of overcast skies, and a 55% chance of sunshine, according to the weather forecast in college junction, where the game is to be held. The manager estimates that the following profits will result from each decision, given each set of weather conditions: MAT540 Homework Week 3 Page 3 of 3 Decision Weather Conditions Rain 0.35 Overcast 0.25 Sunshine 0.40 Sun visors $-400 $-200 $1,500 Umbrellas 2,100 0 -800 5. Every time a machine breaks down at the Dynaco Manufacturing Company (Problem 3), either 1, 2, or 3 hours are required to fix it, according to the following probability distribution: Repair Time (hr.) Probability 1 0.20 2 0.50 3 0.30 1.00 Simulate the repair time for 20 weeks and then compute the average weekly repair time.
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Most Popular Content
University of New Hampshire Quick Logic Proof Questions
Quick question about logic, which won't take 10mins if you are good at solving it. Please using the formate which the samp ...
University of New Hampshire Quick Logic Proof Questions
Quick question about logic, which won't take 10mins if you are good at solving it. Please using the formate which the sample shows, which the step by step. And there are some rules to help you to explain the each steps. Please give me the quality answer as soon as possible.
6 pages
Solution
A random sample of 5 year old children is evaluated for being left- or right-handed. The size n = 100 children of which 79 ...
Solution
A random sample of 5 year old children is evaluated for being left- or right-handed. The size n = 100 children of which 79 are right-handed, 15 are ...
Module 4: Discussion Forum binomial random variable X
A binomial random variable X is defined as the number of successes achieved in the n trials of a Bernoulli process. Descri ...
Module 4: Discussion Forum binomial random variable X
A binomial random variable X is defined as the number of successes achieved in the n trials of a Bernoulli process. Describe an event in your life that fits the properties of a Bernoulli process, being sure to explain how each property is met by your event. Finally, state the number of trials and the number of successes for your event. Be specific.Respond with thoughtful substantive responses to at least two classmates’ postings.
SPHS 505 American Public University Statistic Project
For this assignment, please include all of the required information below into a Word document and upload the completed fi ...
SPHS 505 American Public University Statistic Project
For this assignment, please include all of the required information below into a Word document and upload the completed file as an attachment. . For this project you will write an original research question on any topic in the Health Sciences and create a fictitious data set to analyze your data using Excel and answer your research question. Then, you will summarize your findings in a journal-style results section including any tables or statistical output you deem necessary to explain your findings. At a minimum, include the following: research question, null and alternate hypotheses, independent and dependent variable, description of the statistical test used, your results from that test using your fictitious data and concluding statements relating back to your hypotheses. Do not simply include your statistical output. Instead, make sure you explain and interpret the statistical output.
Quantitative Methods
1. The Hoylake Rescue Squad receives an emergency call every 1, 2, 3, 4, 5, or 6 hours, according to the following probabi ...
Quantitative Methods
1. The Hoylake Rescue Squad receives an emergency call every 1, 2, 3, 4, 5, or 6 hours, according to the following probability distribution. The squad is on duty 24 hours per day, 7 days per week: Time Between Emergency Calls (hr.) Probability 1 0.15 2 0.10 3 0.20 4 0.25 5 0.20 6 0.10 1.00 a. Simulate the emergency calls for 3 days (note that this will require a “running” , or cumulative, hourly clock), using the random number table. b. Compute the average time between calls and compare this value with the expected value of the time between calls from the probability distribution. Why are the result different? 2. The time between arrivals of cars at the Petroco Services Station is defined by the following probability distribution: Time Between Emergency Calls (hr.) Probability 1 0.35 2 0.25 3 0.20 4 0.20 1.00 MAT540 Homework Week 3 Page 2 of 3 a. Simulate the arrival of cars at the service station for 20 arrivals and compute the average time between arrivals. b. Simulate the arrival of cars at the service station for 1 hour, using a different stream of random numbers from those used in (a) and compute the average time between arrivals. c. Compare the results obtained in (a) and (b). 3. The Dynaco Manufacturing Company produces a product in a process consisting of operations of five machines. The probability distribution of the number of machines that will break down in a week follows: Machine Breakdowns Per Week Probability 0 0.10 1 0.20 2 0.15 3 0.30 4 0.15 5 0.10 1.00 a. Simulate the machine breakdowns per week for 20 weeks. b. Compute the average number of machines that will break down per week. 4. Simulate the following decision situation for 20 weeks, and recommend the best decision. A concessions manager at the Tech versus A&M football game must decide whether to have the vendors sell sun visors or umbrellas. There is a 30% chance of rain, a 15% chance of overcast skies, and a 55% chance of sunshine, according to the weather forecast in college junction, where the game is to be held. The manager estimates that the following profits will result from each decision, given each set of weather conditions: MAT540 Homework Week 3 Page 3 of 3 Decision Weather Conditions Rain 0.35 Overcast 0.25 Sunshine 0.40 Sun visors $-400 $-200 $1,500 Umbrellas 2,100 0 -800 5. Every time a machine breaks down at the Dynaco Manufacturing Company (Problem 3), either 1, 2, or 3 hours are required to fix it, according to the following probability distribution: Repair Time (hr.) Probability 1 0.20 2 0.50 3 0.30 1.00 Simulate the repair time for 20 weeks and then compute the average weekly repair time.
7 pages
Online Proj 2 Summer 2018
Choose one of the data sets assigned in Canvas and enter the data into a Statistix data file. You should use the same data ...
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