My math work needs to be done today. Can anyone help me with this? its in mymathlab. com

To prepare for this Discussion: Use the Walden Library Course Guide and Assignment Help found in this week’s Learning Resources to search for and select a quantitative article that interests you and that has social change implications. As you read the article, reflect on George Box’s quote in the introduction for this Discussion. For additional support, review the Skill Builder: Independent and Dependent 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.Frankfort-Nachmias, C., & Leon-Guerrero, A. (2015). Social statistics for a diverse society (7th ed.). Thousand Oaks, CA: Sage Publications. Chapter 1, “The What and the Why of Statistics” (pp. 1–26)Wagner, W. E. (2016). Using IBM® SPSS® statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications. Chapter 1, “Overview”Dietz, T., & Kalof, L. (2009). Introduction to social statistics: The logic of statistical reasoning. West Sussex, United Kingdom: Wiley-Blackwell.Introduction to Social Statistics: The Logic of Statistical Reasoning, 1st Edition by Dietz, T.; Kalof, L. Copyright 2009 by John Wiley & Sons - Books. Reprinted by permission of John Wiley & Sons - Books via the Copyright Clearance Center. Chapter 1, “An Introduction to Quantitative Analysis” (pp. 1–31) Dietz, T., & Kalof, L. (2009). Introduction to social statistics: The logic of statistical reasoning. West Sussex, United Kingdom: Wiley-Blackwell.Introduction to Social Statistics: The Logic of Statistical Reasoning, 1st Edition by Dietz, T.; Kalof, L. Copyright 2009 by John Wiley & Sons - Books. Reprinted by permission of John Wiley & Sons - Books via the Copyright Clearance Center. Chapter 2, “Some Basic Concepts” (pp. 33–63) Introduction to Social Statistics: The Logic of Statistical Reasoning, 1st Edition by Dietz, T.; Kalof, L. Copyright 2009 by John Wiley & Sons - Books. Reprinted by permission of John Wiley & Sons - Books via the Copyright Clearance Center.Walden University Library. (n.d.). Course Guide and Assignment Help for RSCH 8210. Retrieved from http://academicguides.waldenu.edu/rsch8210For help with this week’s research, see this Course Guide and related weekly assignment resources. Use this IBM SPSS Software to guide you as you register, download, and install your SPSS softwareBy Day 3Post a very brief description (1–3 sentences) of the article you found and address the following: Describe how you think the research in the article is useful (e.g., what population is it helping? What problem is it solving?). Using Y=f(X) +E notation, identify the independent and dependent variables. How might the research models presented be wrong? What types of error might be present in the reported research?https://class.waldenu.edu/bbcswebdav/institution/U...

Use the real estate data that is give in question 1 and 2.And complete the Sampling Distributions - Real Estate questions 3 and 4.1. Review the data and for the purpose of this project please consider the 100 listing prices as a population. - Explain what your computed population mean and population standard deviation were.Answer -Population mean is an average of 100 listing prices, μ = (Σ * X)/ N = $67,118,514/100 = $671,185.14. The computed population mean for the 100 listing prices was $671,185.14. Population Standard Deviation is a measure of how spreads out numbers are. Researchers use statistics to estimate parameters, refer to a numerical property of a population. The real estate population Standard Deviation was σ= $274,980.89.2. Divide the 100 listing prices into 10 samples of n=10 each. Each of your 10 samples will tend to be random if the first sample includes houses 1 through 10 on your spreadsheet, the second sample consists of houses 11 through 20, and so on.Compute the mean of each of the 10 samples and list them:Answer- n=10 (Sample 1: listings 1-10) Mean = $561,808.90 n=10 (Sample 2: listings 11-20) Mean = $602,175.00 n=10 (Sample 3: listings 21-30) Mean = $783,299.50 n=10 (Sample 4: listings 31-40) Mean = $738,140.00 n=10 (Sample 5: listings 41-50) Mean = $842,058.80 n=10 (Sample 6: listings 51-60) Mean = $817,098.80 n=10 (Sample 7: listings 61-70) Mean = $626,167.60 n=10 (Sample 8: listings 71-80) Mean = $671,445.00 n=10 (Sample 9: listings 81-90) Mean = $498,889.00 n=10 (Sample 10: listings 91-100) Mean = $570,768.80 3. Compute the mean of those 10 means.- Explain how the mean of the means is equal, or not, to the population mean of the 100 listing prices from above.4. Compute the standard deviation of those 10 means and compare the standard deviation of the 10 means to the population standard deviation of all 100 listing prices.- Explain why it is significantly higher, or lower, than the population standard deviation.For additional information use the attachment as reference.