Description
A random sample of 1020 adults. the mean is 7.66, and the standard deviation is 2.6 with a 90% confidence interval of 7.53,7.79. I need to interpret the confidence interval
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A random sample of 1020 adults. the mean is 7.66, and the standard deviation is 2.6 with a 90% confidence interval of 7.53,7.79. I need to interpret the confidence interval
which mean the probability that the mean between 7.53 to 7.79 is 0.90
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WU Introduction to Quantitative Analysis Descriptive Analysis Report
For this Introduction to Quantitative Analysis: Descriptive Analysis Assignment, you will examine the same two variables you used from your Week 2 Assignment and perform the appropriate descriptive analysis of the data given.
To prepare for this Assignment:
Review this week’s Learning Resources and the Central Tendency and Variability media program.
For additional support, review the Skill Builder: Measures of Central Tendency for Continuous Variables, Skill Builder: Standard Deviation as a Measure of Variability for Continuous Variables and the Skill Builder: Measures of Central Tendency and Variability for Categorical Variables, 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.
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Write a 2- to 3-paragraph analysis of your descriptive analysis results and include a copy and paste your output from your analysis into your final document.
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Use appropriate APA format, citations and referencing. Refer to the APA manual for appropriate citation.
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Required Readings
Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 3, “Measures of Central Tendency” (pp. 75-111)
Chapter 4, “Measures of Variability” (pp. 113-150)
Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications.
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Laureate Education (Producer). (2016d). Descriptive statistics [Video file]. Baltimore, MD: Author.
Note: The approximate length of this media piece is 7 minutes.
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WU Introduction to Quantitative Analysis Descriptive Analysis Report
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For this Introduction to Quantitative Analysis: Descriptive Analysis Assignment, you will examine the same two variables you used from your Week 2 Assignment and perform the appropriate descriptive analysis of the data given.
To prepare for this Assignment:
Review this week’s Learning Resources and the Central Tendency and Variability media program.
For additional support, review the Skill Builder: Measures of Central Tendency for Continuous Variables, Skill Builder: Standard Deviation as a Measure of Variability for Continuous Variables and the Skill Builder: Measures of Central Tendency and Variability for Categorical Variables, 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.
Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset from your Assignment in Week 2.
Choose the same two variables you chose from your Week 2 Assignment and perform the appropriate descriptive analysis of the data.
Once you perform your descriptive analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.
Write a 2- to 3-paragraph analysis of your descriptive analysis results and include a copy and paste your output from your analysis into your final document.
Based on the results of your data, provide a brief explanation of what the implications for social change might be. Early in your Assignment, when you relate which dataset you analyzed, please include the mean of the following variables. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the HS Long Survey Dataset, report the mean of X1SES.
Use appropriate APA format, citations and referencing. Refer to the APA manual for appropriate citation.
Learning Resources
Required Readings
Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 3, “Measures of Central Tendency” (pp. 75-111)
Chapter 4, “Measures of Variability” (pp. 113-150)
Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 4, “Organization and Presentation of Information”
Chapter 11, “Editing Output”
Datasets
Your instructor will post the datasets for the course in the Doc Sharing section and in an Announcement. Your instructor may also recommend using a different dataset from the ones provided here.
Required Media
Laureate Education (Producer). (2016d). Descriptive statistics [Video file]. Baltimore, MD: Author.
Note: The approximate length of this media piece is 7 minutes.
In this media program, Dr. Matt Jones demonstrates the procedures used for central tendency and variability using SPSS software. Focus on how this demonstration might support your analysis in this week’s Assignment.
Accessible player --Downloads-- Download Video w/CC Download Audio Download Transcript
Optional Resources
Wheelan, C. (2013). Naked statistics: Stripping the dread from data. New York, NY: W. W. Norton & Company.
Skill Builders:
Measures of Central Tendency for Continuous Variables
Standard Deviation as a Measure of Variability for Continuous Variables
Measures of Central Tendency and Variability for Categorical Variables
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First you will focus on actual viral growth inside a human body. Pick a virus
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and research its growth rate. If you are having trouble finding a growth rate
for a specific virus, make up your own growth rate. Use your growth rate to
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(virus particles) that can grow inside a human body. Start with one virion on
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Read/review the following resources for this activity:
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Lesson in Canvas
Assignments in Knewton
Graphing Linear Equations
Solving Systems of Linear Equations by Graphing
Solving Systems of Linear Equations by Substitution
Solving Systems of Linear Equations by Elimination
Initial Post Instructions
Before we begin graphing systems of equations, a good starting point is to review our knowledge of 2-D graphs. These graphs are known as 2-D because they have two axes. Find an online image of a graph to use as the foundation of your discussion. (This is easily accomplished by searching within Google Images.)
Using your graph as the example:
Select any two points on the graph and apply the slope formula, interpreting the result as a rate of change (units of measurement required); and
Use rate of change (slope) to explain why your graph is linear (constant slope) or not linear (changing slopes).
Embed the graph into the post by copying and pasting into the discussion. You must cite the source of the image. Also be sure to show the computations used to determine slope.
Follow-Up Post Instructions
Respond to at least one peer in a substantive, content-specific way. Further the dialogue by providing more information and clarification.
Please help with problem. Thanks
A machine that manufactures automobile parts produces defective parts of the time. If parts produced ...
Please help with problem. Thanks
A machine that manufactures automobile parts produces defective parts of the time. If parts produced by this machine are randomly selected, what is the probability that at most of the parts are defective? round to Nearest hundred two decimal
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