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Social Choice Math is designed for anyone who has to make a decision in their life (that’s everyone). This course will i ...
Need the following assigments to be answered please!
Social Choice Math is designed for anyone who has to make a decision in their life (that’s everyone). This course will improve your ability to analyze situations and make thoughtful decisions using mathematically sound techniques. We want you to leave this class with the confidence in your own ability to make decisions.
Statistics Discussion
Give an example of an interval estimate of an average or proportion you may use in your daily life. For instance, you may ...
Statistics Discussion
Give an example of an interval estimate of an average or proportion you may use in your daily life. For instance, you may say that you are pretty sure your average commute time is between 25-30 minutes, or you are fairly confident that between 60-65% of the population love dogs. Collect some data to see how well your intuition is working. First, does your sample data meet all assumptions necessary to construct the confidence interval of the type you need? Even if it doesn’t, construct and interpret the confidence interval.
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this is a correct example of the question:"A confidence interval is a range of values so defined that there is a specified probability that the value of a parameter lies within it. In statistics, a confidence interval is a type of estimate computed from the statistics of the observed data. This proposes a range of plausible values for an unknown parameter. The interval has an associated confidence level that the true parameter is in the proposed range. Between driving to work and providing morning transportation for my nanny, I estimate the average amount of miles I drive per week is about 200 miles. Calculating my Confidence Interval, adding 14.8 miles to and from work are equal to 29.6 miles per workday, 7.8 miles to and from my Nanny’s house equal to 15.6 miles per workday day and altogether the daily workday mileage, including transportation for my nanny, is 45.2 miles. In addition, misc. mileage, such as trips to the grocery store, equal an average of 10 miles per work week – as the grocery store is extremely close to home. 45.2 miles four times a week is 180.8 miles per work week. 180.8 plus 10 for misc. mileage is 190.8 The amount of mileage on two my days off has been represented numerically by “0” and the other with “10” to compensate for the misc. mileage. Ending with:Mean (?): 27.257142857143Standard deviation (?): 20.947202823347Weekly Mileage Data Set:45.2, 0, 45.2, 45.2, 45.2, 0, 10Weekly MileageWeek DaysMileage Per DayMonday45.2Tuesday0Wednesday45.2Thursday45.2Friday45.2Saturday0Sunday1095% Confidence Interval: 27.26 ± 15.5(11.8 to 42.8) "With 95% confidence the population mean is between 11.8 and 42.8, based on only 7 samples." Short Styles:27.26 (95% CI 11.8 to 42.8)27.26, 95% CI [11.8, 42.8]Margin of Error: 15.5Sample Size: 7Sample Mean: 27.26Standard Deviation: 20.95Confidence Level: 95% In personally driving these miles on a regular basis, I have all assumptions necessary to construct the confidence interval of the type that I need."
Decision making Techniques
Using specified data files, chapter example files, and templates from the “Topic 8 Student Data, Template, and Example F ...
Decision making Techniques
Using specified data files, chapter example files, and templates from the “Topic 8 Student Data, Template, and Example Files” topic material, complete Chapter 6, Problems 2, 31 (part a), 32, and 33 from the textbook. Use Microsoft Excel to complete Problem 2. Use the Palisade DecisionTools software to complete Problems 31, 32, and 33, and ensure that all Palisade software output is included in your files. The Palisade DecisionTools Excel software needs to be used to create the decision trees.To receive full credit on the assignment, complete the following.Ensure that the Palisade software output is included with your submission.Ensure that Excel files include the associated cell functions and/or formulas if functions and/or formulas are used.Include a written response to all narrative questions presented in the problem by placing it in the associated Excel file.Place each problem in its own Excel file. Ensure that your first and last name are in your Excel file names.
MAT 534 Keller Graduate School Exploratory Data Analysis Paper
Open the files for the course project and the data set.For each of the five variables, process, organize, present and
su ...
MAT 534 Keller Graduate School Exploratory Data Analysis Paper
Open 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.
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Need the following assigments to be answered please!
Social Choice Math is designed for anyone who has to make a decision in their life (that’s everyone). This course will i ...
Need the following assigments to be answered please!
Social Choice Math is designed for anyone who has to make a decision in their life (that’s everyone). This course will improve your ability to analyze situations and make thoughtful decisions using mathematically sound techniques. We want you to leave this class with the confidence in your own ability to make decisions.
Statistics Discussion
Give an example of an interval estimate of an average or proportion you may use in your daily life. For instance, you may ...
Statistics Discussion
Give an example of an interval estimate of an average or proportion you may use in your daily life. For instance, you may say that you are pretty sure your average commute time is between 25-30 minutes, or you are fairly confident that between 60-65% of the population love dogs. Collect some data to see how well your intuition is working. First, does your sample data meet all assumptions necessary to construct the confidence interval of the type you need? Even if it doesn’t, construct and interpret the confidence interval.
POST
this is a correct example of the question:"A confidence interval is a range of values so defined that there is a specified probability that the value of a parameter lies within it. In statistics, a confidence interval is a type of estimate computed from the statistics of the observed data. This proposes a range of plausible values for an unknown parameter. The interval has an associated confidence level that the true parameter is in the proposed range. Between driving to work and providing morning transportation for my nanny, I estimate the average amount of miles I drive per week is about 200 miles. Calculating my Confidence Interval, adding 14.8 miles to and from work are equal to 29.6 miles per workday, 7.8 miles to and from my Nanny’s house equal to 15.6 miles per workday day and altogether the daily workday mileage, including transportation for my nanny, is 45.2 miles. In addition, misc. mileage, such as trips to the grocery store, equal an average of 10 miles per work week – as the grocery store is extremely close to home. 45.2 miles four times a week is 180.8 miles per work week. 180.8 plus 10 for misc. mileage is 190.8 The amount of mileage on two my days off has been represented numerically by “0” and the other with “10” to compensate for the misc. mileage. Ending with:Mean (?): 27.257142857143Standard deviation (?): 20.947202823347Weekly Mileage Data Set:45.2, 0, 45.2, 45.2, 45.2, 0, 10Weekly MileageWeek DaysMileage Per DayMonday45.2Tuesday0Wednesday45.2Thursday45.2Friday45.2Saturday0Sunday1095% Confidence Interval: 27.26 ± 15.5(11.8 to 42.8) "With 95% confidence the population mean is between 11.8 and 42.8, based on only 7 samples." Short Styles:27.26 (95% CI 11.8 to 42.8)27.26, 95% CI [11.8, 42.8]Margin of Error: 15.5Sample Size: 7Sample Mean: 27.26Standard Deviation: 20.95Confidence Level: 95% In personally driving these miles on a regular basis, I have all assumptions necessary to construct the confidence interval of the type that I need."
Decision making Techniques
Using specified data files, chapter example files, and templates from the “Topic 8 Student Data, Template, and Example F ...
Decision making Techniques
Using specified data files, chapter example files, and templates from the “Topic 8 Student Data, Template, and Example Files” topic material, complete Chapter 6, Problems 2, 31 (part a), 32, and 33 from the textbook. Use Microsoft Excel to complete Problem 2. Use the Palisade DecisionTools software to complete Problems 31, 32, and 33, and ensure that all Palisade software output is included in your files. The Palisade DecisionTools Excel software needs to be used to create the decision trees.To receive full credit on the assignment, complete the following.Ensure that the Palisade software output is included with your submission.Ensure that Excel files include the associated cell functions and/or formulas if functions and/or formulas are used.Include a written response to all narrative questions presented in the problem by placing it in the associated Excel file.Place each problem in its own Excel file. Ensure that your first and last name are in your Excel file names.
MAT 534 Keller Graduate School Exploratory Data Analysis Paper
Open the files for the course project and the data set.For each of the five variables, process, organize, present and
su ...
MAT 534 Keller Graduate School Exploratory Data Analysis Paper
Open 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.
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