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Boston University Troubleshooting Documentation Form Paper
You just received three text messages from employees complaining that the wifi started off okay in the morning but that it ...
Boston University Troubleshooting Documentation Form Paper
You just received three text messages from employees complaining that the wifi started off okay in the morning but that it started to slow down an hour or so laterResearch and list the troubleshooting steps you would take in this situation. During your troubleshooting steps, you decide to reset your modem and router. Using the Documentation Form, document the steps for implementing this solution, including how to test if your speed is back to normal.
CJA 335 University of Nairobi Citizen Survey Data Analysis
Use the data gathered in the Citizen Survey (See Attached) spreadsheet and calculate the mean, median, mode, and stan ...
CJA 335 University of Nairobi Citizen Survey Data Analysis
Use the data gathered in the Citizen Survey (See Attached) spreadsheet and calculate the mean, median, mode, and standard deviation based on the data provided.
Create an Excel document with the calculations.
discussion board
Step 1: Respond to the following:Imagine you are writing exam questions for an algebra course. You want to write questions ...
discussion board
Step 1: Respond to the following:Imagine you are writing exam questions for an algebra course. You want to write questions that include finding the zeros of polynomials. To balance the difficulty level of the test’s questions, you decide to include two different types of questions, as described here:Question #1: A polynomial of degree at least 3 where all the zeros are positive whole numbersQuestion #2: A polynomial of degree at least 3 where one or more of the roots are fractionsFind two polynomials for the two described questions. Explain how you know each question satisfies the requirements stated. What approach did you use to find these polynomials?Step 2: Then, respond to at least two other classmates' posts, comparing your concepts with theirs. Once again, use any personal experience if appropriate to help support or debate other students' posts. If differences of opinion occur, students should debate the issues and provide examples to support opinions.*Be sure to cite any outside sources in APA format
MATH 1030 Walden University Week 6 Data Sample Discussion
Week 6: Statistics
It is difficult to watch the news or read the paper without running into statistics. Numbers are used t ...
MATH 1030 Walden University Week 6 Data Sample Discussion
Week 6: Statistics
It is difficult to watch the news or read the paper without running into statistics. Numbers are used to support claims, report poll results, or sway you to purchase a product via advertising. Most of this data is taken from a sample or small subgroup of the population, which reduces the accuracy. Sampling, or taking data from a subset of the population, creates an opportunity for error, as not everyone in the population is represented. You may have heard a claim made, such as “three out of four dentists recommend White X toothpaste.” This sounds impressive until you learn that these dentists that recommend White X toothpaste are also given hundreds of free samples to share with their clients. These values should be critically examined for bias, bad data collection methods, or the presence of outliers that skew statistics.
This week, you will explore where data comes from, how to organize and summarize data, and how to use this to make decisions.
Discussion: Avoiding Bad Statistics
You may have heard the saying that ‘numbers never lie’. What could be more trustworthy than a solution to a mathematical equation? Enter statistics, an area of mathematics in which numbers can be used to mislead. This can be intentional, as is often the case in advertising campaigns. You might hear claims, such as the best weight loss program in the world will produce an average of 20 pounds of weight loss in the first month. Claims like these usually come with the footnote that "results are not typical" as outliers in data can affect an average value easily. One or two individuals who lost a great deal of weight can make the average value seem more impressive than it is. Misleading statistics can also be unintentional if the researcher does not consider all the important aspects.
For this Discussion, you will explore some critical considerations when assessing the accuracy of statistics.
To prepare for this Discussion:
Imagine you have been hired to complete a data analysis project to promote social change in an area important to you. Some possible topics include public transportation, distribution of public services, health care, public education, or another topic of interest.
View the video on ways to spot bad statistics and reflect on several aspects that Chalabi (2017) indicates are necessary to consider when assessing the accuracy of the values presented. Then, consider how these aspects apply to the topic you selected.
Think about what kinds of data you would collect to present in a memo to your congress person or government representative, regarding the social change you are proposing for your topic, and how you plan to address uncertainty in your results.
Think about how you will make sure your statistics are relatable. Note that the values presented should be relatable.
Think about how you will plan the data collection for your study and what two things you will be cautious of when collecting that data. Consider how you will explain to your government representative why it is necessary to collect this data and why time and money should be allocated to you to collect it
Chalabi, M. (2017, February). 3 ways to spot a bad statistic [Video]. TED Conferences. https://www.ted.com/talks/mona_chalabi_3_ways_to_s...Note: The approximate length of this media piece is 12 minutes.
Post at least 2 paragraphs in response to the following prompts:
Describe the topic you have chosen to study and explain what kinds of data you will collect to present to your government representative.
Describe two specific recommendations you would make to address uncertainty.
Explain how you will make sure that your statistics are relatable so that it will be easy to understand for a diverse group of people.
Explain two things you will be cautious of when collecting a data sample.
Then, explain to your government representative why it is necessary to collect this data and why the time and money should be allocated to you to collect it.
SDMC Week 3 Variability in Completion Air Force Training Discussion
Week 3 - Discussion ForumNo unread replies.No replies.Your initial discussion thread is due on Day 3 (Thursday) and you ha ...
SDMC Week 3 Variability in Completion Air Force Training Discussion
Week 3 - Discussion ForumNo unread replies.No replies.Your initial discussion thread is due on Day 3 (Thursday) and you have until Day 7 (Monday) to respond to your classmates. Your grade will reflect both the quality of your initial post and the depth of your responses. Refer to the Discussion Forum Grading Rubric under the Settings icon above for guidance on how your discussion will be evaluated.Inferences About Population Variances: Case Problem Air Force Training Program [WLOs: 1, 2, 3] [CLOs: 1, 2, 3, 4, 5, 6, 7]Prior to beginning work on this discussion forum, watch the Week 3 Introduction (Links to an external site.) video, and read Chapter 11 in the MindTap ebook by clicking on the Getting Ready link for each perspective chapter.Step 1: Read:Review Case Problem 1: Air Force Training Program from Chapter 11 of the ebook.Step 2: Do:Run the F-Test Two-Sample for Variances for the Data File Training (Chapter 11) using the video How to Add Excel's Data Analysis ToolPak (Links to an external site.) for assistance.In a managerial report,Use appropriate descriptive statistics to summarize the training time data for each method. What similarities or differences do you observe from the sample data?Conduct a hypothesis test on the difference between the population means for the two methods. Discuss your findings.Compute the standard deviation and variance for each training method. Conduct a hypothesis test about the equality of population variances for the two training methods. Discuss your findings.Explain what conclusion you can reach about any differences between the two methods. What is your recommendation? Explain.Suggest other data or testing that might be desirable before making a final decision on the training program to be used in the future.Step 3: Discuss:What did you find in your analysis of the data? Were there any surprising results? What recommendations would you make based on your findings? Include details from your managerial report to support your recommendations.
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Boston University Troubleshooting Documentation Form Paper
You just received three text messages from employees complaining that the wifi started off okay in the morning but that it ...
Boston University Troubleshooting Documentation Form Paper
You just received three text messages from employees complaining that the wifi started off okay in the morning but that it started to slow down an hour or so laterResearch and list the troubleshooting steps you would take in this situation. During your troubleshooting steps, you decide to reset your modem and router. Using the Documentation Form, document the steps for implementing this solution, including how to test if your speed is back to normal.
CJA 335 University of Nairobi Citizen Survey Data Analysis
Use the data gathered in the Citizen Survey (See Attached) spreadsheet and calculate the mean, median, mode, and stan ...
CJA 335 University of Nairobi Citizen Survey Data Analysis
Use the data gathered in the Citizen Survey (See Attached) spreadsheet and calculate the mean, median, mode, and standard deviation based on the data provided.
Create an Excel document with the calculations.
discussion board
Step 1: Respond to the following:Imagine you are writing exam questions for an algebra course. You want to write questions ...
discussion board
Step 1: Respond to the following:Imagine you are writing exam questions for an algebra course. You want to write questions that include finding the zeros of polynomials. To balance the difficulty level of the test’s questions, you decide to include two different types of questions, as described here:Question #1: A polynomial of degree at least 3 where all the zeros are positive whole numbersQuestion #2: A polynomial of degree at least 3 where one or more of the roots are fractionsFind two polynomials for the two described questions. Explain how you know each question satisfies the requirements stated. What approach did you use to find these polynomials?Step 2: Then, respond to at least two other classmates' posts, comparing your concepts with theirs. Once again, use any personal experience if appropriate to help support or debate other students' posts. If differences of opinion occur, students should debate the issues and provide examples to support opinions.*Be sure to cite any outside sources in APA format
MATH 1030 Walden University Week 6 Data Sample Discussion
Week 6: Statistics
It is difficult to watch the news or read the paper without running into statistics. Numbers are used t ...
MATH 1030 Walden University Week 6 Data Sample Discussion
Week 6: Statistics
It is difficult to watch the news or read the paper without running into statistics. Numbers are used to support claims, report poll results, or sway you to purchase a product via advertising. Most of this data is taken from a sample or small subgroup of the population, which reduces the accuracy. Sampling, or taking data from a subset of the population, creates an opportunity for error, as not everyone in the population is represented. You may have heard a claim made, such as “three out of four dentists recommend White X toothpaste.” This sounds impressive until you learn that these dentists that recommend White X toothpaste are also given hundreds of free samples to share with their clients. These values should be critically examined for bias, bad data collection methods, or the presence of outliers that skew statistics.
This week, you will explore where data comes from, how to organize and summarize data, and how to use this to make decisions.
Discussion: Avoiding Bad Statistics
You may have heard the saying that ‘numbers never lie’. What could be more trustworthy than a solution to a mathematical equation? Enter statistics, an area of mathematics in which numbers can be used to mislead. This can be intentional, as is often the case in advertising campaigns. You might hear claims, such as the best weight loss program in the world will produce an average of 20 pounds of weight loss in the first month. Claims like these usually come with the footnote that "results are not typical" as outliers in data can affect an average value easily. One or two individuals who lost a great deal of weight can make the average value seem more impressive than it is. Misleading statistics can also be unintentional if the researcher does not consider all the important aspects.
For this Discussion, you will explore some critical considerations when assessing the accuracy of statistics.
To prepare for this Discussion:
Imagine you have been hired to complete a data analysis project to promote social change in an area important to you. Some possible topics include public transportation, distribution of public services, health care, public education, or another topic of interest.
View the video on ways to spot bad statistics and reflect on several aspects that Chalabi (2017) indicates are necessary to consider when assessing the accuracy of the values presented. Then, consider how these aspects apply to the topic you selected.
Think about what kinds of data you would collect to present in a memo to your congress person or government representative, regarding the social change you are proposing for your topic, and how you plan to address uncertainty in your results.
Think about how you will make sure your statistics are relatable. Note that the values presented should be relatable.
Think about how you will plan the data collection for your study and what two things you will be cautious of when collecting that data. Consider how you will explain to your government representative why it is necessary to collect this data and why time and money should be allocated to you to collect it
Chalabi, M. (2017, February). 3 ways to spot a bad statistic [Video]. TED Conferences. https://www.ted.com/talks/mona_chalabi_3_ways_to_s...Note: The approximate length of this media piece is 12 minutes.
Post at least 2 paragraphs in response to the following prompts:
Describe the topic you have chosen to study and explain what kinds of data you will collect to present to your government representative.
Describe two specific recommendations you would make to address uncertainty.
Explain how you will make sure that your statistics are relatable so that it will be easy to understand for a diverse group of people.
Explain two things you will be cautious of when collecting a data sample.
Then, explain to your government representative why it is necessary to collect this data and why the time and money should be allocated to you to collect it.
SDMC Week 3 Variability in Completion Air Force Training Discussion
Week 3 - Discussion ForumNo unread replies.No replies.Your initial discussion thread is due on Day 3 (Thursday) and you ha ...
SDMC Week 3 Variability in Completion Air Force Training Discussion
Week 3 - Discussion ForumNo unread replies.No replies.Your initial discussion thread is due on Day 3 (Thursday) and you have until Day 7 (Monday) to respond to your classmates. Your grade will reflect both the quality of your initial post and the depth of your responses. Refer to the Discussion Forum Grading Rubric under the Settings icon above for guidance on how your discussion will be evaluated.Inferences About Population Variances: Case Problem Air Force Training Program [WLOs: 1, 2, 3] [CLOs: 1, 2, 3, 4, 5, 6, 7]Prior to beginning work on this discussion forum, watch the Week 3 Introduction (Links to an external site.) video, and read Chapter 11 in the MindTap ebook by clicking on the Getting Ready link for each perspective chapter.Step 1: Read:Review Case Problem 1: Air Force Training Program from Chapter 11 of the ebook.Step 2: Do:Run the F-Test Two-Sample for Variances for the Data File Training (Chapter 11) using the video How to Add Excel's Data Analysis ToolPak (Links to an external site.) for assistance.In a managerial report,Use appropriate descriptive statistics to summarize the training time data for each method. What similarities or differences do you observe from the sample data?Conduct a hypothesis test on the difference between the population means for the two methods. Discuss your findings.Compute the standard deviation and variance for each training method. Conduct a hypothesis test about the equality of population variances for the two training methods. Discuss your findings.Explain what conclusion you can reach about any differences between the two methods. What is your recommendation? Explain.Suggest other data or testing that might be desirable before making a final decision on the training program to be used in the future.Step 3: Discuss:What did you find in your analysis of the data? Were there any surprising results? What recommendations would you make based on your findings? Include details from your managerial report to support your recommendations.
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