What's an altitude of a triangle and how does it work?
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How is that different from a median?
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real Estate data, statistics homework help
Need some help filling out the work sheet. I have attached the descriptive Statistics summary from data from last we ...
real Estate data, statistics homework help
Need some help filling out the work sheet. I have attached the descriptive Statistics summary from data from last week. The Sampling distributions real estate is the questions I need help with. I have also attached the excel spread sheet with the data information.
WU Introduction to Quantitative Analysis Descriptive Analysis Report
For this Introduction to Quantitative Analysis: Descriptive Analysis Assignment, you will examine the same two variables y ...
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.
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
8 pages
Project 3 1
Be sure to include ALL pages of this project (including the directions and the assignment) when you send the project to yo ...
Project 3 1
Be sure to include ALL pages of this project (including the directions and the assignment) when you send the project to your teacher for grading. ...
UCLA Machine Shop Manufactures Probability & Statistical Inference Practice
7.3-1. A machine shop manufactures toggle levers. A lever is flawed if a standard nut cannot be screwed onto the threads. ...
UCLA Machine Shop Manufactures Probability & Statistical Inference Practice
7.3-1. A machine shop manufactures toggle levers. A lever is flawed if a standard nut cannot be screwed onto the threads. Let p equal the proportion of flawed toggle levers that the shop manufactures. If there were 24 flawed levers out of a sample of 642 that were selected randomly from the production line, (a) Give a point estimate of p. (b) Use Equation 7.3-2 to find an approximate 95% confidence interval for p.(c) Use Equation 7.3-4 to find an approximate 95% confidence interval for p.(d) Use Equation 7.3-5 to find an approximate 95% confidence interval for p.(e) Find a one-sided approximate 95% confidence interval for p that provides an upper bound for p.7.3-2. Let p equal the proportion of letters mailed in the Netherlands that are delivered the next day. Suppose that y = 142 out of a random sample of n = 200 letters were delivered the day after they were mailed. (a) Give a point estimate of p. (b) Use Equation 7.3-2 to find an approximate 90% confidence interval for p.(c) Use Equation 7.3-4 to find an approximate 90% confidence interval for p.(d) Use Equation 7.3-5 to find an approximate 90% confidence interval for p.(e) Find a one-sided approximate 90% confidence interval for p that provides a lower bound for p.7.3-6. Let p equal the proportion of Americanswho select jogging as one of their recreational activities. If 1497 out of a random sample of 5757 selected jogging, find an approximate 98% confidence interval for p.7.4-1. Let X equal the tarsus length for a male grackle. (The tarsus is part of a bird’s leg between what appears to be a backward-facing “knee” and what appears to be an “ankle” .) Assume that the distribution of X is N(μ, 4.84). Find the sample size n that is needed so that we are 95% confident that the maximum error of the estimate of μ is 0.4.7.4-2. Let X equal the excess weight of soap in a “1000-gram” bottle. Assume that the distribution of X is N(μ, 169). What sample size is required so that we have 95% confidence that the maximum error of the estimate of μ is 1.5?7.4-3. A company packages powdered soap in “6-pound” boxes. The sample mean and standard deviation of the soap in these boxes are currently 6.09 pounds and 0.02 pound, respectively. If themean fill can be lowered by 0.01 pound, $14,000 would be saved per year. Adjustments were made in the filling equipment, but it can be assumed that the standard deviation remains unchanged. (a) How large a sample is needed so that the maximum error of the estimate of the new μ is ε = 0.001 with 90% confidence?(b) A random sample of size n = 1219 yielded x = 6.048 and s = 0.022. Calculate an approximate 90% confidence interval for μ.(c) Estimate the savings per year with these new adjust-ments.(d) Estimate the proportion of boxes that will now weigh less than six pounds.7.4-9. A die has been loaded to slightly change the prob-ability of rolling a six. In order to estimate p, the new probability of rolling a six, how many times must the die be rolled so that we are approximately 99% confident that themaximumerrorof theestimateof p is ε = 0.02?
Part A: Exploratory Data Analysis, statistics homework help
PreparationOpen the files for the course project and the data set.For each of the five variables, process, organize, prese ...
Part A: Exploratory Data Analysis, statistics homework help
PreparationOpen the files for the course project and the data set.For each of the five variables, process, organize, present and summarize the data. Analyze each variable by itself using graphical and numerical techniques of summarization. Use Excel as much as possible, explaining what the results reveal. Some of the following graphs may be helpful: stem-leaf diagram, frequency/relative frequency table, histogram, boxplot, dotplot, pie chart, bar graph. Caution: not all of these are appropriate for each of these variables, nor are they all necessary. More is not necessarily better. In addition be sure to find the appropriate measures of central tendency, the measures of dispersion, and the shapes of the distributions (for the quantitative variables) for the above data. Where appropriate, use the five number summary (the Min, Q1, Median, Q3, Max). Once again, use Excel as appropriate, and explain what the results mean.Analyze the connections or relationships between the variables. There are ten possible pairings of two variables. Use graphical as well as numerical summary measures. Explain the results of the analysis. Be sure to consider all 10 pairings. Some variables show clear relationships, while others do not.Report RequirementsFrom the variable analysis above, provide the analysis and interpretation for three individual variables. This would include no more than 1 graph for each, one or two measures of central tendency and variability (as appropriate), the shapes of the distributions for quantitative variables, and two or three sentences of interpretation.For the 10 pairings, identify and report only on three of the pairings, again using graphical and numerical summary (as appropriate), with interpretations. Please note that at least one pairing must include a qualitative variable and at least one pairing must not include a qualitative variable.Prepare the report in Microsoft Word, integrating graphs and tables with text explanations and interpretations. Be sure to include graphical and numerical back up for the explanations and interpretations. Be selective in what is included in the report to meet the requirements of the report without extraneous information.Submission: The report, including all relevant graphs and numerical analysis along with interpretationsFormat for report:Brief IntroductionDiscuss 1st individual variable, using graphical, numerical summary and interpretationDiscuss 2nd individual variable, using graphical, numerical summary and interpretationDiscuss 3rd individual variable, using graphical, numerical summary and interpretationDiscuss 1st pairing of variables, using graphical, numerical summary and interpretationDiscuss 2nd pairing of variables, using graphical, numerical summary and interpretationDiscuss 3rd pairing of variables, using graphical, numerical summary and interpretationConclusionThe information is on the excel sheet attached.
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Most Popular Content
real Estate data, statistics homework help
Need some help filling out the work sheet. I have attached the descriptive Statistics summary from data from last we ...
real Estate data, statistics homework help
Need some help filling out the work sheet. I have attached the descriptive Statistics summary from data from last week. The Sampling distributions real estate is the questions I need help with. I have also attached the excel spread sheet with the data information.
WU Introduction to Quantitative Analysis Descriptive Analysis Report
For this Introduction to Quantitative Analysis: Descriptive Analysis Assignment, you will examine the same two variables y ...
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.
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
8 pages
Project 3 1
Be sure to include ALL pages of this project (including the directions and the assignment) when you send the project to yo ...
Project 3 1
Be sure to include ALL pages of this project (including the directions and the assignment) when you send the project to your teacher for grading. ...
UCLA Machine Shop Manufactures Probability & Statistical Inference Practice
7.3-1. A machine shop manufactures toggle levers. A lever is flawed if a standard nut cannot be screwed onto the threads. ...
UCLA Machine Shop Manufactures Probability & Statistical Inference Practice
7.3-1. A machine shop manufactures toggle levers. A lever is flawed if a standard nut cannot be screwed onto the threads. Let p equal the proportion of flawed toggle levers that the shop manufactures. If there were 24 flawed levers out of a sample of 642 that were selected randomly from the production line, (a) Give a point estimate of p. (b) Use Equation 7.3-2 to find an approximate 95% confidence interval for p.(c) Use Equation 7.3-4 to find an approximate 95% confidence interval for p.(d) Use Equation 7.3-5 to find an approximate 95% confidence interval for p.(e) Find a one-sided approximate 95% confidence interval for p that provides an upper bound for p.7.3-2. Let p equal the proportion of letters mailed in the Netherlands that are delivered the next day. Suppose that y = 142 out of a random sample of n = 200 letters were delivered the day after they were mailed. (a) Give a point estimate of p. (b) Use Equation 7.3-2 to find an approximate 90% confidence interval for p.(c) Use Equation 7.3-4 to find an approximate 90% confidence interval for p.(d) Use Equation 7.3-5 to find an approximate 90% confidence interval for p.(e) Find a one-sided approximate 90% confidence interval for p that provides a lower bound for p.7.3-6. Let p equal the proportion of Americanswho select jogging as one of their recreational activities. If 1497 out of a random sample of 5757 selected jogging, find an approximate 98% confidence interval for p.7.4-1. Let X equal the tarsus length for a male grackle. (The tarsus is part of a bird’s leg between what appears to be a backward-facing “knee” and what appears to be an “ankle” .) Assume that the distribution of X is N(μ, 4.84). Find the sample size n that is needed so that we are 95% confident that the maximum error of the estimate of μ is 0.4.7.4-2. Let X equal the excess weight of soap in a “1000-gram” bottle. Assume that the distribution of X is N(μ, 169). What sample size is required so that we have 95% confidence that the maximum error of the estimate of μ is 1.5?7.4-3. A company packages powdered soap in “6-pound” boxes. The sample mean and standard deviation of the soap in these boxes are currently 6.09 pounds and 0.02 pound, respectively. If themean fill can be lowered by 0.01 pound, $14,000 would be saved per year. Adjustments were made in the filling equipment, but it can be assumed that the standard deviation remains unchanged. (a) How large a sample is needed so that the maximum error of the estimate of the new μ is ε = 0.001 with 90% confidence?(b) A random sample of size n = 1219 yielded x = 6.048 and s = 0.022. Calculate an approximate 90% confidence interval for μ.(c) Estimate the savings per year with these new adjust-ments.(d) Estimate the proportion of boxes that will now weigh less than six pounds.7.4-9. A die has been loaded to slightly change the prob-ability of rolling a six. In order to estimate p, the new probability of rolling a six, how many times must the die be rolled so that we are approximately 99% confident that themaximumerrorof theestimateof p is ε = 0.02?
Part A: Exploratory Data Analysis, statistics homework help
PreparationOpen the files for the course project and the data set.For each of the five variables, process, organize, prese ...
Part A: Exploratory Data Analysis, statistics homework help
PreparationOpen the files for the course project and the data set.For each of the five variables, process, organize, present and summarize the data. Analyze each variable by itself using graphical and numerical techniques of summarization. Use Excel as much as possible, explaining what the results reveal. Some of the following graphs may be helpful: stem-leaf diagram, frequency/relative frequency table, histogram, boxplot, dotplot, pie chart, bar graph. Caution: not all of these are appropriate for each of these variables, nor are they all necessary. More is not necessarily better. In addition be sure to find the appropriate measures of central tendency, the measures of dispersion, and the shapes of the distributions (for the quantitative variables) for the above data. Where appropriate, use the five number summary (the Min, Q1, Median, Q3, Max). Once again, use Excel as appropriate, and explain what the results mean.Analyze the connections or relationships between the variables. There are ten possible pairings of two variables. Use graphical as well as numerical summary measures. Explain the results of the analysis. Be sure to consider all 10 pairings. Some variables show clear relationships, while others do not.Report RequirementsFrom the variable analysis above, provide the analysis and interpretation for three individual variables. This would include no more than 1 graph for each, one or two measures of central tendency and variability (as appropriate), the shapes of the distributions for quantitative variables, and two or three sentences of interpretation.For the 10 pairings, identify and report only on three of the pairings, again using graphical and numerical summary (as appropriate), with interpretations. Please note that at least one pairing must include a qualitative variable and at least one pairing must not include a qualitative variable.Prepare the report in Microsoft Word, integrating graphs and tables with text explanations and interpretations. Be sure to include graphical and numerical back up for the explanations and interpretations. Be selective in what is included in the report to meet the requirements of the report without extraneous information.Submission: The report, including all relevant graphs and numerical analysis along with interpretationsFormat for report:Brief IntroductionDiscuss 1st individual variable, using graphical, numerical summary and interpretationDiscuss 2nd individual variable, using graphical, numerical summary and interpretationDiscuss 3rd individual variable, using graphical, numerical summary and interpretationDiscuss 1st pairing of variables, using graphical, numerical summary and interpretationDiscuss 2nd pairing of variables, using graphical, numerical summary and interpretationDiscuss 3rd pairing of variables, using graphical, numerical summary and interpretationConclusionThe information is on the excel sheet attached.
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