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Practice Problems Calculus
1. a) Suppose that a stadium can hold 30,000 people for a soccer match. If W seats are allocated to Wolverton supporters, ...
Practice Problems Calculus
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MATH 227 LAVC Expenditure on Education & Literacy Percent of A Country Discussion
Everything below is what has been given to me as far as rules and resources. Please complete this project. If you have any ...
MATH 227 LAVC Expenditure on Education & Literacy Percent of A Country Discussion
Everything below is what has been given to me as far as rules and resources. Please complete this project. If you have any questions feel free to contact me. Math 140 Project: Exploring relationships between two variablesIn this project, you will search two quantitative variables that may have a linear correlation. You will describe and analyze the relationship between the variables the way it is explained in Chapter 4 (4.1-4.2). You will, then, create a written report including all 4 parts below and turn in by the stated due date according to the guidelines provided in this paper. Required components:1. Understand the Problema) Search for two quantitative variables that may have a linear correlation from the internet,in Canvas or any other media. You may also get the data by surveying 15-20 people.Possible websites to look for data:You may obtain the data in StatCrunch.com: Click explore and click Data.http://www.city-data.com/ for demographic information about citieshttp://www.cde.ca.gov/ta/ac/ap/ for academic performance index.http://graphics.latimes.com/responsivemap-pollutio... for pollution burdens.Website where you found the data: b) Use your intuition and/or experience to predict and write down the descriptions of the possible relationship: Form, Direction, Strength, and outlier, etc. c) Develop a question that address a possible linear correlation between two variables. State the question(s):Identify two variables from the data that are relevant to answer the questions: 2. Analyze the paired Dataa) What is the likely explanatory variable in the paired data?b) Draw a scatter plot of the data. Does the graph show a linear relationship between the variables? Comment on the direction and strength appeared on the scatter diagram.c) Compute the linear correlation coefficient between the two variables and interpret the meaning specifically for your data. d) Find the equation of the least-squares regression line.e) Interpret the slope and y-intercept, if appropriate. f) Use the equation of the least-squares regression line to predict the outcome (y-value) for one of the x-values in your data.g) Find the residual for the x-value you chose in part (f).Explain what it means when a residual is positive or negative.3. Draw Conclusions a) What do the results indicate about the relationship between two variables? b) Do you think there is a causal relation between the variables? Explain. c) Relate the comments you made in step 1b before analyzing the data by commenting on both of the following: How your expectation differs (or do not differ) from the actual results? If it is relevant or meaningful in context, think of a way that these results could be used in practice.4. Summarize Write a short summary of the main findings that you discovered. Math 140 Project: Exploring relationships between two variables -Score Sheet (Total 50 points)Name:________________________________________Date:__________________________________Title of the project: ____________________________________________________________________Website where you found the data:_______________________________________________________Project Grade: __________________________________
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Math 10 Lab 4 One Way Anova
In this lab, you will use One Way Analysis of Variance Tests to determine whether 2 or more populations Open the RateMP.mp ...
Math 10 Lab 4 One Way Anova
In this lab, you will use One Way Analysis of Variance Tests to determine whether 2 or more populations Open the RateMP.mpj file. You will first ...
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Data_AJ_DAVIS.xla Keep in mind that I will need help with the other parts, and will come back to you for assistance s ...
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Data_AJ_DAVIS.xla Keep in mind that I will need help with the other parts, and will come back to you for assistance so be reasonable with your offer price. PART A: Exploratory Data AnalysisFor 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 MINITAB as much as possible, explaining what the printout tells you. You may wish to use some of the following graphs: 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 what you see. Be sure to consider all 10 pairings. Some variables show clear relationships, while others do not.Prepare the report in Microsoft Word, integrating your graphs and tables with text explanations and interpretations. Be sure that you have graphical and numerical back up for your explanations and interpretations. Be selective in what you include in the report.In particular, what I want you do is to highlight what you see for three individual variables (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 of your pairings must include the qualitative variable and at least one of your pairings must not include the qualitative variable.Format for report:Brief IntroductionDiscuss your 1st individual variable, using graphical, numerical summary and interpretationDiscuss your 2nd individual variable, using graphical, numerical summary and interpretationDiscuss your 3rd individual variable, using graphical, numerical summary and interpretationDiscuss your 1st pairing of variables, using graphical, numerical summary and interpretationDiscuss your 2nd pairing of variables, using graphical, numerical summary and interpretationDiscuss your 3rd pairing of variables, using graphical, numerical summary and interpretationConclusionPart A Grading RubricCategoryPoints%DescriptionThree Individual Variables - 12pts. each3636graphical analysis, numerical analysis (when appropriate) and interpretationThree Relationships - 15 pts. each4545graphical analysis, numerical analysis (when appropriate) and interpretationCommunication Skills1919writing, grammar, clarity, logic, cohesiveness, adherence to the above formatTotal100100A quality paper will meet or exceed all of the above requirements.
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8 pages
Practice Problems Calculus
1. a) Suppose that a stadium can hold 30,000 people for a soccer match. If W seats are allocated to Wolverton supporters, ...
Practice Problems Calculus
1. a) Suppose that a stadium can hold 30,000 people for a soccer match. If W seats are allocated to Wolverton supporters, each can be sold for
MATH 227 LAVC Expenditure on Education & Literacy Percent of A Country Discussion
Everything below is what has been given to me as far as rules and resources. Please complete this project. If you have any ...
MATH 227 LAVC Expenditure on Education & Literacy Percent of A Country Discussion
Everything below is what has been given to me as far as rules and resources. Please complete this project. If you have any questions feel free to contact me. Math 140 Project: Exploring relationships between two variablesIn this project, you will search two quantitative variables that may have a linear correlation. You will describe and analyze the relationship between the variables the way it is explained in Chapter 4 (4.1-4.2). You will, then, create a written report including all 4 parts below and turn in by the stated due date according to the guidelines provided in this paper. Required components:1. Understand the Problema) Search for two quantitative variables that may have a linear correlation from the internet,in Canvas or any other media. You may also get the data by surveying 15-20 people.Possible websites to look for data:You may obtain the data in StatCrunch.com: Click explore and click Data.http://www.city-data.com/ for demographic information about citieshttp://www.cde.ca.gov/ta/ac/ap/ for academic performance index.http://graphics.latimes.com/responsivemap-pollutio... for pollution burdens.Website where you found the data: b) Use your intuition and/or experience to predict and write down the descriptions of the possible relationship: Form, Direction, Strength, and outlier, etc. c) Develop a question that address a possible linear correlation between two variables. State the question(s):Identify two variables from the data that are relevant to answer the questions: 2. Analyze the paired Dataa) What is the likely explanatory variable in the paired data?b) Draw a scatter plot of the data. Does the graph show a linear relationship between the variables? Comment on the direction and strength appeared on the scatter diagram.c) Compute the linear correlation coefficient between the two variables and interpret the meaning specifically for your data. d) Find the equation of the least-squares regression line.e) Interpret the slope and y-intercept, if appropriate. f) Use the equation of the least-squares regression line to predict the outcome (y-value) for one of the x-values in your data.g) Find the residual for the x-value you chose in part (f).Explain what it means when a residual is positive or negative.3. Draw Conclusions a) What do the results indicate about the relationship between two variables? b) Do you think there is a causal relation between the variables? Explain. c) Relate the comments you made in step 1b before analyzing the data by commenting on both of the following: How your expectation differs (or do not differ) from the actual results? If it is relevant or meaningful in context, think of a way that these results could be used in practice.4. Summarize Write a short summary of the main findings that you discovered. Math 140 Project: Exploring relationships between two variables -Score Sheet (Total 50 points)Name:________________________________________Date:__________________________________Title of the project: ____________________________________________________________________Website where you found the data:_______________________________________________________Project Grade: __________________________________
4 pages
Math 10 Lab 4 One Way Anova
In this lab, you will use One Way Analysis of Variance Tests to determine whether 2 or more populations Open the RateMP.mp ...
Math 10 Lab 4 One Way Anova
In this lab, you will use One Way Analysis of Variance Tests to determine whether 2 or more populations Open the RateMP.mpj file. You will first ...
Data Analysis Help ASAP
Data_AJ_DAVIS.xla Keep in mind that I will need help with the other parts, and will come back to you for assistance s ...
Data Analysis Help ASAP
Data_AJ_DAVIS.xla Keep in mind that I will need help with the other parts, and will come back to you for assistance so be reasonable with your offer price. PART A: Exploratory Data AnalysisFor 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 MINITAB as much as possible, explaining what the printout tells you. You may wish to use some of the following graphs: 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 what you see. Be sure to consider all 10 pairings. Some variables show clear relationships, while others do not.Prepare the report in Microsoft Word, integrating your graphs and tables with text explanations and interpretations. Be sure that you have graphical and numerical back up for your explanations and interpretations. Be selective in what you include in the report.In particular, what I want you do is to highlight what you see for three individual variables (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 of your pairings must include the qualitative variable and at least one of your pairings must not include the qualitative variable.Format for report:Brief IntroductionDiscuss your 1st individual variable, using graphical, numerical summary and interpretationDiscuss your 2nd individual variable, using graphical, numerical summary and interpretationDiscuss your 3rd individual variable, using graphical, numerical summary and interpretationDiscuss your 1st pairing of variables, using graphical, numerical summary and interpretationDiscuss your 2nd pairing of variables, using graphical, numerical summary and interpretationDiscuss your 3rd pairing of variables, using graphical, numerical summary and interpretationConclusionPart A Grading RubricCategoryPoints%DescriptionThree Individual Variables - 12pts. each3636graphical analysis, numerical analysis (when appropriate) and interpretationThree Relationships - 15 pts. each4545graphical analysis, numerical analysis (when appropriate) and interpretationCommunication Skills1919writing, grammar, clarity, logic, cohesiveness, adherence to the above formatTotal100100A quality paper will meet or exceed all of the above requirements.
4 pages
Module 4 Histogram Lab
1. For this case, the histogram is skewed to the right. Just by looking at the histogram, it can be deduced that actors wi ...
Module 4 Histogram Lab
1. For this case, the histogram is skewed to the right. Just by looking at the histogram, it can be deduced that actors within the age range (35-45) ...
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