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What is the equation of the quadratic graph with a focus of (4.3) and a directix of y = 13?
f(x)
1
20
(x - 4)2 + 10
1
=
f(x)
20
(x-4)2 + 8
1
f(x)
(x - 4)2 + 10
20
f(x)
=
1
(x + 4)2 + 8
20
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This week you have explored three different approaches to t tests. By this point, you know that each test has assumptions about the data and type of research questions it can answer. For this Assignment, you will be provided with three scenarios. As you read the scenarios, be sure and think about aligning the appropriate t test with the question. Consider whether the data are independent samples and if two samples are being compared.
To prepare for this Assignment:
Review the Learning Resources and the media programs related to t tests.
For additional support, review the Skill Builder: Research Design and Statistical Design and the Skill Builder: Hypothesis Testing for Independent Samples t-test, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.
Also, review the t test scenarios found in this week’s Learning Resources and consider the three different approaches of t tests:
Independent sample t test
Paired sample t test
One sample t test
Based on each of the three research scenarios provided, open the High School Longitudinal Study dataset or the Afrobarometer dataset from this week’s Learning Resources using SPSS software, then choose and run the appropriate t test.
Once you perform your t test analyses, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.
For this Assignment:
Write an analysis of your t test results for each research scenario and include the SPSS syntax and output. Do not forget to evaluate if the t test assumptions are met, justify the selection of type of t test, and report the effect size. Based on your results, provide an explanation of what the implications of social change might be.
Refereneces
rankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 8, “Testing Hypothesis” (pp. 204-234)
Wagner, W. E. (2016). Using IBM® SPSS® statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 6, “Testing Hypotheses Using Means and Cross-Tabulation” (previously read in Week 5)
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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.
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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.
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Statistics Comparing Using T Tests & Confidence Intervals Essay
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This week you have explored three different approaches to t tests. By this point, you know that each test has assumptions about the data and type of research questions it can answer. For this Assignment, you will be provided with three scenarios. As you read the scenarios, be sure and think about aligning the appropriate t test with the question. Consider whether the data are independent samples and if two samples are being compared.
To prepare for this Assignment:
Review the Learning Resources and the media programs related to t tests.
For additional support, review the Skill Builder: Research Design and Statistical Design and the Skill Builder: Hypothesis Testing for Independent Samples t-test, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.
Also, review the t test scenarios found in this week’s Learning Resources and consider the three different approaches of t tests:
Independent sample t test
Paired sample t test
One sample t test
Based on each of the three research scenarios provided, open the High School Longitudinal Study dataset or the Afrobarometer dataset from this week’s Learning Resources using SPSS software, then choose and run the appropriate t test.
Once you perform your t test analyses, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.
For this Assignment:
Write an analysis of your t test results for each research scenario and include the SPSS syntax and output. Do not forget to evaluate if the t test assumptions are met, justify the selection of type of t test, and report the effect size. Based on your results, provide an explanation of what the implications of social change might be.
Refereneces
rankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 8, “Testing Hypothesis” (pp. 204-234)
Wagner, W. E. (2016). Using IBM® SPSS® statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 6, “Testing Hypotheses Using Means and Cross-Tabulation” (previously read in Week 5)
Chapter 11, “Editing Output” (previously read in Week 2, 3, and 4)
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.
11 pages
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The dataset chosen for the project is the scenario 4 dataset called as addiction dataset. My focus in Psychology is about ...
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The dataset chosen for the project is the scenario 4 dataset called as addiction dataset. My focus in Psychology is about addiction which is a chronic ...
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