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1. consistent independent ; a unique solution
2.consistent dependent ; infinite many solution.
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6 pages
Probabilities Of Graduation And Publication
For many students, the likelihood of graduating from a university and advancing in the academic field through the publicat ...
Probabilities Of Graduation And Publication
For many students, the likelihood of graduating from a university and advancing in the academic field through the publication of research papers is an ...
Chamberlain University Data Collection Discussion
Scenario/SummaryThe highlight of this week's lab is confidence intervals and the use of these intervals in the health scie ...
Chamberlain University Data Collection Discussion
Scenario/SummaryThe highlight of this week's lab is confidence intervals and the use of these intervals in the health sciences. There is a short reading that specifically relates confidence intervals to health sciences and then you are asked to demonstrate your knowledge of confidence intervals by applying them in a practical manner.DeliverablesThe deliverable is a Word document with your answers to the questions posed below based on the article you find.Required SoftwareMicrosoft WordInternet access to read articlesSteps to Complete the Week 7 LabStep 1: Find these articles in the Chamberlain Library. Once you click each link, you will be logged into the Library and then click on "PDF Full Text".First Article: Confidence Intervals, Part 1 (Links to an external site.) (Links to an external site.)Links to an external site. (Links to an external site.)Second Article: Confidence Intervals, Part 2 (Links to an external site.) (Links to an external site.)Links to an external site. (Links to an external site.)Step 2: Consider the use of confidence intervals in health sciences with these articles as inspiration and insights.Step 3: Using the data you collected for the Week 5 Lab (heights of 10 different people that you work with), discuss your method of collection for the values that you are using in your study. What are some faults with this type of data collection? What other type of data collection could you have used, and how might this have affected your study?Step 4: Now use the Week 6 Spreadsheet (Links to an external site.) to help you with calculations for the following questions/statements.Give a point estimate for the average height of all people at the place where you work. Start by putting the ten heights you are working with into the blue Data column of the spreadsheet. What is your point estimate, and what does this mean?Find a 95% confidence interval for the true mean height of all the people at your place of work. What is the interval?Give a practical interpretation of the interval you found in part b, and explain carefully what the output means. (For example, you might say, "I am 95% confident that the true mean height of all of the people in my company is between 64 inches and 68 inches").Post a screenshot of your work from the t value Confidence Interval for µ from the Confidence Interval tab on the Week 6 Excel spreadsheetStep 5: Now, find a 99% confidence interval for the same data. Would the margin of error be larger or smaller for the 99% CI? Explain your reasoning.Step 6: Save the Week 7 Lab document with your answers and include your name in the title.Step 7: Submit the document.
Southern New Hampshire Direct Proofs in Natural Deduction Project
Choose two of the arguments below and write a direct proof using the eight rules of inference introduced in section 8.1 of ...
Southern New Hampshire Direct Proofs in Natural Deduction Project
Choose two of the arguments below and write a direct proof using the eight rules of inference introduced in section 8.1 of the textbook. You can do argument 1 or argument 2, but not both, then any of arguments 3–6. Note that commas are used to separate the premises from each other.1. ~M, (~M • ~N) → (Q → P), P → R, ~N, therefore, Q → R2. ~F → ~G, P → ~Q, ~F v P, (~G v ~Q) → (L • M), therefore, L3. ~(Z v Y) → ~W, ~U → ~(Z v Y), (~U → ~W) → (T → S), S → (R v P), [T → (RvP)] → [(~R v K) • ~K], therefore, ~K4. (S v U) • ~U, S → [T • (F v G)], [T v (J • P)] → (~B • E), therefore, S • ~B5. ~X → (~Y → ~Z), X v (W → U), ~Y v W, ~X • T, (~Z v U) → ~S, therefore, (R v ~S) • T6. (C → Q) • (~L → ~R), (S → C) • (~N → ~L), ~Q • J, ~Q → (S v ~N), therefore, ~RNatural deduction is so called because it is a model for how we naturally reason. This often comes as a surprise to students because all of the symbols seem anything but natural. The symbols, however, allow us to focus on the form of the argument without getting bogged down by content. Recall that each sentence letter represents a simple sentence in English.After writing your direct proofs, construct a translation key for your argument by assigning each letter a simple sentence, and use that key to fill in the content of the argument.
continuously distributed variables, statistics homework help
You are an inventory manager working for a large online retailer. As with any retailer, inventory control is one of the cr ...
continuously distributed variables, statistics homework help
You are an inventory manager working for a large online retailer. As with any retailer, inventory control is one of the critical success factors for the organization. Having too little inventory risks the loss of sales when your company is unable to fulfill an order. However, too much inventory imposes unnecessary costs on the organization. Often, one of the most important pieces of information that can be used to determine how much inventory to have on hand is the rate at which demand occurs for the product.Determine what information you would need to construct a confidence interval for the demand that will occur during a month.Analyze how the numbers of such a confidence interval might influence the level of inventory that the organization chooses to carry. Support your discussion with relevant examples, research, and rationale.
HEALTH 501 Liberty University The Framingham Heart Study
Framingham Case Study Analysis Assignment InstructionsPart ISecondary Data Analysis and SummaryFor this assignment, studen ...
HEALTH 501 Liberty University The Framingham Heart Study
Framingham Case Study Analysis Assignment InstructionsPart ISecondary Data Analysis and SummaryFor this assignment, students will use Microsoft Excel to analyze selected Framingham Heart Study data. Students will perform various statistical data analyses to answer specific research questions. Students will provide appropriate tables that summarize the analysis. After the analysis, the students will provide a brief summary of each statistical result tables that were created from the data. Included will be a discussion of the appropriateness of the data collection methods used in the study in comparison to other methods. The student will then summarize the data analysis as a whole to not exceed 300 words.
CSJ Cell Phone Radiation Increase the Risk of Getting Cancer Discussion
1. Choose EITHER Option A or Option B for your initial post.Option A:A survey is conducted to determine the proportion of ...
CSJ Cell Phone Radiation Increase the Risk of Getting Cancer Discussion
1. Choose EITHER Option A or Option B for your initial post.Option A:A survey is conducted to determine the proportion of young adults who
earn less than $15,000. Two sampling methods are being considered.
Method A involves standing on a downtown street corner and randomly
picking several young adults to interview every 10 minutes during a
12-hour period. Method B involves posting the question on several
popular young adult Websites; the viewer simply has to click on one of
two possible answers to participate. State a possible source of bias for Method A, and describe how it may affect the results.State a possible source of bias for Method B, and describe how it may affect the results.Option B:Does cell phone radiation increase a person’s risk of getting cancer? How can an observational study be performed?2. Give them Feedback about their writing. Don't use he/she/theya. Option A:1) The person asking the random people of downtown may have their own
sub conscious bias of only asking those who look a certain way.2) The content of the website may only attract a limited or specific type of young adult to be asked the question.b.Option B: An observational study involving what is a person’s risk of
getting cancer from cell phone would perform a cohort study which would
link a group of “like” people who use cells phones and have cancer. The
one performing the research would compare what happens to people of the
cohort exposed to a variable to other people who have not used cell
phones with cancer. A problem with observational studies would be the
outcome, if cell phone radiation is a possible cause of cancer versus
other alternatives that may be the cause of cancer, would be know as
confounding bias.c. Option A1. An in person survey could be influenced by where the survey is
conducted, if a surveyor may influence results based on where and who
they ask, especially if they target younger adults2. The main source of bias for a website is that most websites are
geared towards a specific set of people, be it CNN or FOX, or a website
aimed at older vs. younger people.
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Most Popular Content
6 pages
Probabilities Of Graduation And Publication
For many students, the likelihood of graduating from a university and advancing in the academic field through the publicat ...
Probabilities Of Graduation And Publication
For many students, the likelihood of graduating from a university and advancing in the academic field through the publication of research papers is an ...
Chamberlain University Data Collection Discussion
Scenario/SummaryThe highlight of this week's lab is confidence intervals and the use of these intervals in the health scie ...
Chamberlain University Data Collection Discussion
Scenario/SummaryThe highlight of this week's lab is confidence intervals and the use of these intervals in the health sciences. There is a short reading that specifically relates confidence intervals to health sciences and then you are asked to demonstrate your knowledge of confidence intervals by applying them in a practical manner.DeliverablesThe deliverable is a Word document with your answers to the questions posed below based on the article you find.Required SoftwareMicrosoft WordInternet access to read articlesSteps to Complete the Week 7 LabStep 1: Find these articles in the Chamberlain Library. Once you click each link, you will be logged into the Library and then click on "PDF Full Text".First Article: Confidence Intervals, Part 1 (Links to an external site.) (Links to an external site.)Links to an external site. (Links to an external site.)Second Article: Confidence Intervals, Part 2 (Links to an external site.) (Links to an external site.)Links to an external site. (Links to an external site.)Step 2: Consider the use of confidence intervals in health sciences with these articles as inspiration and insights.Step 3: Using the data you collected for the Week 5 Lab (heights of 10 different people that you work with), discuss your method of collection for the values that you are using in your study. What are some faults with this type of data collection? What other type of data collection could you have used, and how might this have affected your study?Step 4: Now use the Week 6 Spreadsheet (Links to an external site.) to help you with calculations for the following questions/statements.Give a point estimate for the average height of all people at the place where you work. Start by putting the ten heights you are working with into the blue Data column of the spreadsheet. What is your point estimate, and what does this mean?Find a 95% confidence interval for the true mean height of all the people at your place of work. What is the interval?Give a practical interpretation of the interval you found in part b, and explain carefully what the output means. (For example, you might say, "I am 95% confident that the true mean height of all of the people in my company is between 64 inches and 68 inches").Post a screenshot of your work from the t value Confidence Interval for µ from the Confidence Interval tab on the Week 6 Excel spreadsheetStep 5: Now, find a 99% confidence interval for the same data. Would the margin of error be larger or smaller for the 99% CI? Explain your reasoning.Step 6: Save the Week 7 Lab document with your answers and include your name in the title.Step 7: Submit the document.
Southern New Hampshire Direct Proofs in Natural Deduction Project
Choose two of the arguments below and write a direct proof using the eight rules of inference introduced in section 8.1 of ...
Southern New Hampshire Direct Proofs in Natural Deduction Project
Choose two of the arguments below and write a direct proof using the eight rules of inference introduced in section 8.1 of the textbook. You can do argument 1 or argument 2, but not both, then any of arguments 3–6. Note that commas are used to separate the premises from each other.1. ~M, (~M • ~N) → (Q → P), P → R, ~N, therefore, Q → R2. ~F → ~G, P → ~Q, ~F v P, (~G v ~Q) → (L • M), therefore, L3. ~(Z v Y) → ~W, ~U → ~(Z v Y), (~U → ~W) → (T → S), S → (R v P), [T → (RvP)] → [(~R v K) • ~K], therefore, ~K4. (S v U) • ~U, S → [T • (F v G)], [T v (J • P)] → (~B • E), therefore, S • ~B5. ~X → (~Y → ~Z), X v (W → U), ~Y v W, ~X • T, (~Z v U) → ~S, therefore, (R v ~S) • T6. (C → Q) • (~L → ~R), (S → C) • (~N → ~L), ~Q • J, ~Q → (S v ~N), therefore, ~RNatural deduction is so called because it is a model for how we naturally reason. This often comes as a surprise to students because all of the symbols seem anything but natural. The symbols, however, allow us to focus on the form of the argument without getting bogged down by content. Recall that each sentence letter represents a simple sentence in English.After writing your direct proofs, construct a translation key for your argument by assigning each letter a simple sentence, and use that key to fill in the content of the argument.
continuously distributed variables, statistics homework help
You are an inventory manager working for a large online retailer. As with any retailer, inventory control is one of the cr ...
continuously distributed variables, statistics homework help
You are an inventory manager working for a large online retailer. As with any retailer, inventory control is one of the critical success factors for the organization. Having too little inventory risks the loss of sales when your company is unable to fulfill an order. However, too much inventory imposes unnecessary costs on the organization. Often, one of the most important pieces of information that can be used to determine how much inventory to have on hand is the rate at which demand occurs for the product.Determine what information you would need to construct a confidence interval for the demand that will occur during a month.Analyze how the numbers of such a confidence interval might influence the level of inventory that the organization chooses to carry. Support your discussion with relevant examples, research, and rationale.
HEALTH 501 Liberty University The Framingham Heart Study
Framingham Case Study Analysis Assignment InstructionsPart ISecondary Data Analysis and SummaryFor this assignment, studen ...
HEALTH 501 Liberty University The Framingham Heart Study
Framingham Case Study Analysis Assignment InstructionsPart ISecondary Data Analysis and SummaryFor this assignment, students will use Microsoft Excel to analyze selected Framingham Heart Study data. Students will perform various statistical data analyses to answer specific research questions. Students will provide appropriate tables that summarize the analysis. After the analysis, the students will provide a brief summary of each statistical result tables that were created from the data. Included will be a discussion of the appropriateness of the data collection methods used in the study in comparison to other methods. The student will then summarize the data analysis as a whole to not exceed 300 words.
CSJ Cell Phone Radiation Increase the Risk of Getting Cancer Discussion
1. Choose EITHER Option A or Option B for your initial post.Option A:A survey is conducted to determine the proportion of ...
CSJ Cell Phone Radiation Increase the Risk of Getting Cancer Discussion
1. Choose EITHER Option A or Option B for your initial post.Option A:A survey is conducted to determine the proportion of young adults who
earn less than $15,000. Two sampling methods are being considered.
Method A involves standing on a downtown street corner and randomly
picking several young adults to interview every 10 minutes during a
12-hour period. Method B involves posting the question on several
popular young adult Websites; the viewer simply has to click on one of
two possible answers to participate. State a possible source of bias for Method A, and describe how it may affect the results.State a possible source of bias for Method B, and describe how it may affect the results.Option B:Does cell phone radiation increase a person’s risk of getting cancer? How can an observational study be performed?2. Give them Feedback about their writing. Don't use he/she/theya. Option A:1) The person asking the random people of downtown may have their own
sub conscious bias of only asking those who look a certain way.2) The content of the website may only attract a limited or specific type of young adult to be asked the question.b.Option B: An observational study involving what is a person’s risk of
getting cancer from cell phone would perform a cohort study which would
link a group of “like” people who use cells phones and have cancer. The
one performing the research would compare what happens to people of the
cohort exposed to a variable to other people who have not used cell
phones with cancer. A problem with observational studies would be the
outcome, if cell phone radiation is a possible cause of cancer versus
other alternatives that may be the cause of cancer, would be know as
confounding bias.c. Option A1. An in person survey could be influenced by where the survey is
conducted, if a surveyor may influence results based on where and who
they ask, especially if they target younger adults2. The main source of bias for a website is that most websites are
geared towards a specific set of people, be it CNN or FOX, or a website
aimed at older vs. younger people.
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