Description
1 and 5 over 6 times 2 over 5
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
Explanation & Answer
Thank you for the opportunity to help you with your question!
simplified :
11/6 times 2/5
answer: 11/15
Completion Status:
100%
Review
Review
Anonymous
Just what I needed. Studypool is a lifesaver!
Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4
24/7 Homework Help
Stuck on a homework question? Our verified tutors can answer all questions, from basic math to advanced rocket science!
Most Popular Content
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.
Binomial Distribution and it's Expected Value
Binomial Distribution and it's Expected ValueBinomial Distribution and it's Expected ValueBinomial Distribution and it's E ...
Binomial Distribution and it's Expected Value
Binomial Distribution and it's Expected ValueBinomial Distribution and it's Expected ValueBinomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected ValueBinomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value
New York University Negative Correlation Between Two Variables Questions
The word doc.contains questions. The attached pdf is the SAS report for the last question. Please see the report to answer ...
New York University Negative Correlation Between Two Variables Questions
The word doc.contains questions. The attached pdf is the SAS report for the last question. Please see the report to answer the questions. So you must be able to read SAS report and professional in statistics. Thanks
Similar Content
One Outlier Can Change the Results of a Statistical Analysis Video Paper
In previous chapters, we have talked about outliers, and how they can affect your results. Watch the Business Insight Vid...
Southern Textiles Inc. wishes to predict employee wages by using employee’s experience
Southern Textiles Inc. wishes to predict employee wages by using employee’s experience (months of service) and the emplo...
McMaster University Calculus Functions Question
Your last submission is used for your score.
DETAILS
1. [-77.14 Points]
SCALCET9 2.4.003.
|&x-2)<
...
Statistics Questionnaire
Suppose that On the Average, 6 Students Enrolled in A Small Liberal Arts College Have Their Automobiles Stolen During the ...
Find all solutions of the equation in the interval [0, 2pi).
tan (x + pi) + 2sin(x+ pi) =0 ...
Find the line that passes through the points (-2,3) and (1,-12)
Find the line that passes through the points (-2,3) and (1,-12)...
Related Tags
Book Guides
The Catcher in the Rye
by J. D. Salinger
The Red Badge of Courage
by Stephen Crane
Siddhartha
by Hermann Hesse
The Rhythm Section
by Mark Burnell
Jane Eyre
by Charlotte Brontë
12 Rules for Life
by Jordan Peterson
American Gods
by Neil Gaiman
Cry the Beloved Country
by Alan Paton
Underground A Human History of the Worlds Beneath our Feet
by Will Hunt
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
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.
Binomial Distribution and it's Expected Value
Binomial Distribution and it's Expected ValueBinomial Distribution and it's Expected ValueBinomial Distribution and it's E ...
Binomial Distribution and it's Expected Value
Binomial Distribution and it's Expected ValueBinomial Distribution and it's Expected ValueBinomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected ValueBinomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value
New York University Negative Correlation Between Two Variables Questions
The word doc.contains questions. The attached pdf is the SAS report for the last question. Please see the report to answer ...
New York University Negative Correlation Between Two Variables Questions
The word doc.contains questions. The attached pdf is the SAS report for the last question. Please see the report to answer the questions. So you must be able to read SAS report and professional in statistics. Thanks
Earn money selling
your Study Documents