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Cf Daa Assignment 8.edited 1 1
The present report summarizes the key results obtained from the analysis of the grades dataset using different t-test stud ...
Cf Daa Assignment 8.edited 1 1
The present report summarizes the key results obtained from the analysis of the grades dataset using different t-test studies. The outlined procedures ...
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.
University of Phoenix Data & Business Analytics Project
Hypothesis testing is used in business to test assumptions and theories. These assumptions are tested against evidence pro ...
University of Phoenix Data & Business Analytics Project
Hypothesis testing is used in business to test assumptions and theories. These assumptions are tested against evidence provided by actual, observed data. A statistical hypothesis is a statement about the value of a population parameter that we are interested in. Hypothesis testing is a process followed to arrive at a decision between 2 competing, mutually exclusive, collective exhaustive statements about the parameter’s value.Consider the following scenario: An industrial seller of grass seeds packages its product in 50-pound bags. A customer has recently filed a complained alleging that the bags are underfilled. A production manager randomly samples a batch and measures the following weights:Weight, (lbs)45.6 49.547.7 46.747.6 48.850.5 48.650.2 51.546.9 50.247.8 49.949.3 49.853.1 49.349.5 50.1To determine whether the bags are indeed being underfilled by the machinery, the manager must conduct a test of mean with a significance level α = 0.05.In a minimum of 175 words, respond to the following:State appropriate null (Ho) and alternative (H1) hypotheses.What is the critical value if we work with a significant level α = 0.05?What is the decision rule?Calculate the test statistic.Are the bags indeed being underfilled?Should machinery be recalibrated?
MAT 144 Grand Canyon University Modified Version of Technology Worksheet
Hello Class, and Happy Monday!USE THE TEMPLATE ATTACHED TO THIS POST RATHER THAN THE TEMPLATE IN ALEKS. THE TEMPLATE INCLU ...
MAT 144 Grand Canyon University Modified Version of Technology Worksheet
Hello Class, and Happy Monday!USE THE TEMPLATE ATTACHED TO THIS POST RATHER THAN THE TEMPLATE IN ALEKS. THE TEMPLATE INCLUDES INSTRUCTIONS FOR COMPLETING THE DQ.For this DQ, you’ll complete a modified version of Technology Assignment 1 in Lesson 3-1 of the textbook in ALEKS, for which you’ll look at the empirical vs. theoretical probabilities of rolling a given number on a multi-sided die.Download the attached template (“QR 3-1 Tech Template MODIFIED.xlsx”) and follow the instructions in the text box to complete the Excel. In this case, the ALEKS video may not provide that much help. Here is a video I made to help!Here are some additional hints for completing the DQ:Hint #1: The RANDBETWEEN() function used in cell B2 will be invoked each time you make a change in the Excel sheet, so your Frequency and Empirical Probability column entries in E2:F16 will keep updating as you change the worksheet. This is normal.Hint #2: Use these steps to copy and paste the contents of cells E2:F16 by value:Select the range of cells E2:F16, then press Copy.Now right-click in the top-left cell that you’ll be copying to (either D21 or F21), and then select the “By Value” option (the clipboard with “123” underneath it) from the Paste Options section of the right-click menu.Once you have copied-and-pasted the cell contents, the values in the cells that you’re copying to should no longer change.Here’s a link to a video that may also help with this: https://www.youtube.com/watch?v=PbRQBse3Ob0.Hint #3: For your response comparing the empirical probability with 1,000 rolls against the empirical probability with 4,000 rolls, what you should do is compare each set of empirical probabilities against the theoretical probabilities in cells G2:G16. Which group of empirical probabilities is, on average, closer to the theoretical probabilities? (How would you be able to quantify “closer” in this case?) How might the number of rolls be contributing to this result?I hope this helps; feel free to let me know if you have any questions.
Find P value in T Test
Find the p- value in a two tail T-Test when the test statistic ( t value) is -1.523 and the sample size is 13.(2 decimals ...
Find P value in T Test
Find the p- value in a two tail T-Test when the test statistic ( t value) is -1.523 and the sample size is 13.(2 decimals in ascending order)
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Most Popular Content
10 pages
Cf Daa Assignment 8.edited 1 1
The present report summarizes the key results obtained from the analysis of the grades dataset using different t-test stud ...
Cf Daa Assignment 8.edited 1 1
The present report summarizes the key results obtained from the analysis of the grades dataset using different t-test studies. The outlined procedures ...
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.
University of Phoenix Data & Business Analytics Project
Hypothesis testing is used in business to test assumptions and theories. These assumptions are tested against evidence pro ...
University of Phoenix Data & Business Analytics Project
Hypothesis testing is used in business to test assumptions and theories. These assumptions are tested against evidence provided by actual, observed data. A statistical hypothesis is a statement about the value of a population parameter that we are interested in. Hypothesis testing is a process followed to arrive at a decision between 2 competing, mutually exclusive, collective exhaustive statements about the parameter’s value.Consider the following scenario: An industrial seller of grass seeds packages its product in 50-pound bags. A customer has recently filed a complained alleging that the bags are underfilled. A production manager randomly samples a batch and measures the following weights:Weight, (lbs)45.6 49.547.7 46.747.6 48.850.5 48.650.2 51.546.9 50.247.8 49.949.3 49.853.1 49.349.5 50.1To determine whether the bags are indeed being underfilled by the machinery, the manager must conduct a test of mean with a significance level α = 0.05.In a minimum of 175 words, respond to the following:State appropriate null (Ho) and alternative (H1) hypotheses.What is the critical value if we work with a significant level α = 0.05?What is the decision rule?Calculate the test statistic.Are the bags indeed being underfilled?Should machinery be recalibrated?
MAT 144 Grand Canyon University Modified Version of Technology Worksheet
Hello Class, and Happy Monday!USE THE TEMPLATE ATTACHED TO THIS POST RATHER THAN THE TEMPLATE IN ALEKS. THE TEMPLATE INCLU ...
MAT 144 Grand Canyon University Modified Version of Technology Worksheet
Hello Class, and Happy Monday!USE THE TEMPLATE ATTACHED TO THIS POST RATHER THAN THE TEMPLATE IN ALEKS. THE TEMPLATE INCLUDES INSTRUCTIONS FOR COMPLETING THE DQ.For this DQ, you’ll complete a modified version of Technology Assignment 1 in Lesson 3-1 of the textbook in ALEKS, for which you’ll look at the empirical vs. theoretical probabilities of rolling a given number on a multi-sided die.Download the attached template (“QR 3-1 Tech Template MODIFIED.xlsx”) and follow the instructions in the text box to complete the Excel. In this case, the ALEKS video may not provide that much help. Here is a video I made to help!Here are some additional hints for completing the DQ:Hint #1: The RANDBETWEEN() function used in cell B2 will be invoked each time you make a change in the Excel sheet, so your Frequency and Empirical Probability column entries in E2:F16 will keep updating as you change the worksheet. This is normal.Hint #2: Use these steps to copy and paste the contents of cells E2:F16 by value:Select the range of cells E2:F16, then press Copy.Now right-click in the top-left cell that you’ll be copying to (either D21 or F21), and then select the “By Value” option (the clipboard with “123” underneath it) from the Paste Options section of the right-click menu.Once you have copied-and-pasted the cell contents, the values in the cells that you’re copying to should no longer change.Here’s a link to a video that may also help with this: https://www.youtube.com/watch?v=PbRQBse3Ob0.Hint #3: For your response comparing the empirical probability with 1,000 rolls against the empirical probability with 4,000 rolls, what you should do is compare each set of empirical probabilities against the theoretical probabilities in cells G2:G16. Which group of empirical probabilities is, on average, closer to the theoretical probabilities? (How would you be able to quantify “closer” in this case?) How might the number of rolls be contributing to this result?I hope this helps; feel free to let me know if you have any questions.
Find P value in T Test
Find the p- value in a two tail T-Test when the test statistic ( t value) is -1.523 and the sample size is 13.(2 decimals ...
Find P value in T Test
Find the p- value in a two tail T-Test when the test statistic ( t value) is -1.523 and the sample size is 13.(2 decimals in ascending order)
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