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PSY325 Ashford Standard Normal Distribution and Primer in Probability Quiz
Based on past experience, the probability that the sun will rise tomorrow is ________. If instead of z = (x – M)/s the f ...
PSY325 Ashford Standard Normal Distribution and Primer in Probability Quiz
Based on past experience, the probability that the sun will rise tomorrow is ________. If instead of z = (x – M)/s the formula is x = z(s) + M, what ...
ALU Correlation Between Resting and After Exercise Heartbeat Rates Questions
In this lesson, you will run a correlation between the resting and after exercising heart rates to determine if a linear r ...
ALU Correlation Between Resting and After Exercise Heartbeat Rates Questions
In this lesson, you will run a correlation between the resting and after exercising heart rates to determine if a linear relationship exists between the two variables and how strong the relationship is. Steps Open the Heart Rate Dataset in Excel and identify the X-variable (resting heart rates for all 200 participants) and the Y-variable (after exercise heart rates for all 200 participants). Use the Scatter Plot function in the Insert Charts section of Excel to create a scatter plot of the X and Y variables Add a trendline to the scatter plot Use the Data Analysis tools in Excel to find the regression equation. In a Word document, describe the relationship between the X-variable (resting heart rate)and the Y-variable (after exercise heart rate). Graph the scatter plot with a trend line. Does it appear there is a linear relationship? What does this mean? Calculate the correlation coefficient r using excel. Is this r (value) high compared to +1? Based on the correlation coefficient is the relationship strong? Use excel to find the regression equation. Identify the slope. What does it tell us in terms of our heart rate data?
MAT 240 Southern New Hampshire University Housing Price Prediction Worksheet
CompetenciesIn this project, you will demonstrate your mastery of the following competencies:Apply statistical techniques ...
MAT 240 Southern New Hampshire University Housing Price Prediction Worksheet
CompetenciesIn this project, you will demonstrate your mastery of the following competencies:Apply statistical techniques to address research problemsPerform regression analysis to address an authentic problemOverviewThe purpose of this project is to have you complete all of the steps of a real-world linear regression research project starting with developing a research question, then completing a comprehensive statistical analysis, and ending with summarizing your research conclusions.ScenarioYou have been hired by the D. M. Pan National Real Estate Company to develop a model to predict housing prices for homes sold in 2019. The CEO of D. M. Pan wants to use this information to help their real estate agents better determine the use of square footage as a benchmark for listing prices on homes. Your task is to provide a report predicting the housing prices based square footage. To complete this task, use the provided real estate data set for all U.S. home sales as well as national descriptive statistics and graphs provided.DirectionsUsing the Project One Template located in the What to Submit section, generate a report including your tables and graphs to determine if the square footage of a house is a good indicator for what the listing price should be. Reference the National Statistics and Graphs document for national comparisons and the Real Estate Data spreadsheet (both found in the Supporting Materials section) for your statistical analysis.Note: Present your data in a clearly labeled table and using clearly labeled graphs.Specifically, include the following in your report:IntroductionDescribe the report: Give a brief description of the purpose of your report.Define the question your report is trying to answer.Explain when using linear regression is most appropriate.When using linear regression, what would you expect the scatterplot to look like?Explain the difference between response and predictor variables in a linear regression to justify the selection of variables.Data CollectionSampling the data: Select a random sample of 50 houses.Identify your response and predictor variables.Scatterplot: Create a scatterplot of your response and predictor variables to ensure they are appropriate for developing a linear model.Data AnalysisHistogram: For your two variables, create histograms.Summary statistics: For your two variables, create a table to show the mean, median, and standard deviation.Interpret the graphs and statistics:Based on your graphs and sample statistics, interpret the center, spread, shape, and any unusual characteristic (outliers, gaps, etc.) for the two variables.Compare and contrast the shape, center, spread, and any unusual characteristic for your sample of house sales with the national population. Is your sample representative of national housing market sales?Develop Your Regression ModelScatterplot: Provide a graph of the scatterplot of the data with a line of best fit.Explain if a regression model is appropriate to develop based on your scatterplot.Discuss associations: Based on the scatterplot, discuss the association (direction, strength, form) in the context of your model.Identify any possible outliers or influential points and discuss their effect on the correlation.Discuss keeping or removing outlier data points and what impact your decision would have on your model.Find r: Find the correlation coefficient (r).Explain how the r value you calculated supports what you noticed in your scatterplot.Determine the Line of Best Fit. Clearly define your variables. Find and interpret the regression equation. Assess the strength of the model.Regression equation: Write the regression equation (i.e., line of best fit) and clearly define your variables.Interpret regression equation: Interpret the slope and intercept in context.Strength of the equation: Provide and interpret R-squared.Determine the strength of the linear regression equation you developed.Use regression equation to make predictions: Use your regression equation to predict how much you should list your home for based on the square footage of your home.ConclusionsSummarize findings: In one paragraph, summarize your findings in clear and concise plain language for the CEO to understand. Summarize your results.Did you see the results you expected, or was anything different from your expectations or experiences?What changes could support different results, or help to solve a different problem?Provide at least one question that would be interesting for follow-up research.What to SubmitTo complete this project, you must submit the following:Project One Template: Use this template to structure your report, and submit the finished version as a Word document.Supporting MaterialsThe following resources may help support your work on the project:Document: National Statistics and GraphsUse this data for input in your project report.Spreadsheet: Real Estate DataUse this data for input in your project report.Tutorial: Downloading Office 365 ProgramsUse this tutorial for support with Office 365 programs.
30 pages
Algebra of Polynomials
By now, you should be familiar with variables and exponents, and you may have dealt with expressions like 3x³ or 6x. Poly ...
Algebra of Polynomials
By now, you should be familiar with variables and exponents, and you may have dealt with expressions like 3x³ or 6x. Polynomials are sums of these "variables and exponents" expressions. Each piece of the polynomial, each part that is being added, is called a "term". Polynomial terms have variables which are raised to whole-number exponents (or else the terms are just plain numbers); there are no square roots of variables, no fractional powers, and no variables in the denominator of any fractions
QMB 3250 Florida State College at Jacksonville Data Analysis & Descriptive Statistics Worksheet
For this assignment, you will conduct research to gather data on career salaries, and you will practice analyzing that dat ...
QMB 3250 Florida State College at Jacksonville Data Analysis & Descriptive Statistics Worksheet
For this assignment, you will conduct research to gather data on career salaries, and you will practice analyzing that data using descriptive statistics.Go to http://jobsearch.monster.com. (Links to an external site.) Choose any job category and location. Then look through the first 30 jobs listed and record the annual salaries (assume 40 hours/week, 50 weeks/year, 2000 hours/year). Then change ONE of the parameters (either the job category OR the location but not both) and collect another 30 salaries (Do not use the results if fewer than 20 jobs are listed.)Compute the descriptive statistics and create a frequency distribution for the two sets of salaries. Be sure to tell us the range, 1st quartile, 3rd quartile, interquartile range, mean, median, and mode. Also, using the standard error formula, what is the upper level and lower level at 95% confidence and what is your conclusion? You may also want to get data from http://www.glassdoor.com/Salaries (Links to an external site.); this site provides a lot of salary information by title and location. You have to sign up for an account, but that's quick and free. You can also use your own sources as long as you provide us with the link.Once you have completed your calculations, write a 1–2 paragraph summary of your findings. Describe the variables you chose and the typical salaries you found. How did the data change when you changed the parameters? What comparison conclusions can you draw from your findings? Your summary write-up should show your understanding of the analysis method and should be clearly written using formal English and APA style.You should submit your work as an Excel spreadsheet. Place your summary in a separate tab in the Excel file.SubmissionThis assignment requires a file upload submission. After you have reviewed the assignment instructions and rubric, as applicable, complete your submission by selecting the Submit Assignment button next to the assignment title.GradingThis assignment is worth 40 points toward your final grade and will be graded using the Data Analysis Assignment Rubric. Please use it as a guide toward successful completion of this assignment. For information on how to view the rubric, refer to this Canvas Community Guide (Links to an external site.).RubricData Analysis Assignment RubricData Analysis Assignment RubricCriteriaRatingsPtsThis criterion is linked to a Learning OutcomeAnalytical Composition20.0 to >17.0 ptsExemplaryAssignment includes thoroughly documented elements as provided in the assignment requirements. Including but, not limited to, a clear understanding and interpretation of the table results, identification of notable patterns, trends, relationships, associations, as well the use of academic sources and a summary of the results wherein a clear understanding is evident. The work reflects organized thought, dialectic reflection, and higher-order thinking.17.0 to >14.0 ptsMeets ExpectationsAssignment includes documented elements as provided in the assignment requirements. Including but, not limited to, a clear understanding and interpretation of the table results, identification of notable patterns, trends, relationships, associations, as well the use of academic sources and a summary of the results wherein a clear understanding is evident. Overall, the work reflects organized thought, dialectic reflection, and higher-order thinking.14.0 to >9.0 ptsDevelopingAssignment document most elements as provided in the assignment requirements with particular parts including but not limited to, a clear understanding and interpretation of the table results, identification of notable patterns, trends, relationships, associations, as well the use of academic sources. A summary of the results doesn’t provide a clear understanding. The analysis is not well-done, but does contain some indication of organized thought and higher-order thinking.9.0 to >4.0 ptsNoviceAssignment fails to document elements as provided in the assignment requirements. Particular parts including but not limited to, a clear understanding and interpretation of the table results, identification of notable patterns, trends, relationships, associations, as well the use of academic sources and a summary of the results are poorly done. The analysis composition is poor, and the work contains minimal thought.4.0 to >0 ptsBelow ExpectationsAssignment fails to document elements as provided in the assignment requirements. Particular parts including but not limited to, a clear understanding and interpretation of the table results, identification of notable patterns, trends, relationships, associations, as well the use of academic sources and a summary of the results are totally absent. The analysis composition is totally absent, and the work does not contain the organized thought and higher-order thinking.20.0 ptsThis criterion is linked to a Learning OutcomeTechnical Composition10.0 to >8.0 ptsExemplaryAssignment provides properly displayed and APA formatted table(s), as well as correct hypotheses (null and alternate) which provide necessary elements8.0 to >6.0 ptsMeets ExpectationsAssignment provides tables, but minor errors exist in both the display and/or APA format table(s). Hypotheses both null and alternate are provided, but minor errors in content or format exist.6.0 to >4.0 ptsDevelopingAssignment provides tables, but numerous errors exist in both the display and/or APA format table(s). Hypotheses both null and alternate are provided, but numerous errors in content or format exist.4.0 to >0.0 ptsNoviceTables and hypotheses are either poorly done or totally absent from the assignment0.0 ptsBelow ExpectationsNot submitted10.0 ptsThis criterion is linked to a Learning OutcomeStyle, Format, Organization and Grammar10.0 to >8.0 ptsExemplaryFollows APA writing style and basic rules of formal English grammar and written essay style, exhibiting higher levels of critical thinking than memory/recall. Communicates in a cohesive, logical style. Moreover, the document is well organized. The format is easy to follow, flows smoothly from one idea to another, and logically conveys the key ideas. The style remains consistent.8.0 to >6.0 ptsMeets ExpectationsMostly follows APA writing style and basic rules of formal English grammar and written essay style, exhibiting higher levels of critical thinking than memory/recall. Mostly communicates in a cohesive, logical style. Additionally, The document is presented in a thoughtful manner; there is an overall organization, and transitions are easy to follow.6.0 to >4.0 ptsDevelopingAPA writing style and basic rules of formal English grammar and written essay style are followed, but with many minor errors. Generally exhibiting higher levels of critical thinking than memory/recall. Mostly communicates in a cohesive, logical style though sometime confusing. Additionally, The document is presented in a thoughtful manner; there is an overall organization, and most transitions are easy to follow, but at times ideas are unclear.4.0 to >0.0 ptsNoviceDoes not follow APA writing style and basic rules of formal English grammar and written essay style. Does not exhibit higher levels of critical thinking than memory/recall. Does not communicate in a cohesive, logical style. The document is inconsistent and at times unorganized; format is difficult to follow; transitions of ideas are abrupt and distracting.0.0 ptsBelow ExpectationsNot submitted10.0 ptsTotal Points: 40.0PreviousNextBriefly describe your findings from Assignment: Data Analysis 1 for your classmates (be sure to attach your excel file containing the data source and analysis). What did you learn from this process? How could this data analysis technique be useful in making business decisions?
4 pages
Painter Exp19 Excel Ch12 Cap Assessment Teachingschedule
' When run, this macro clears the values in the schedule Range("G1,C5:G6,C8:G9,C11:G12,C14:G15,C17:G19").Select
Painter Exp19 Excel Ch12 Cap Assessment Teachingschedule
' When run, this macro clears the values in the schedule Range("G1,C5:G6,C8:G9,C11:G12,C14:G15,C17:G19").Select
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PSY325 Ashford Standard Normal Distribution and Primer in Probability Quiz
Based on past experience, the probability that the sun will rise tomorrow is ________. If instead of z = (x – M)/s the f ...
PSY325 Ashford Standard Normal Distribution and Primer in Probability Quiz
Based on past experience, the probability that the sun will rise tomorrow is ________. If instead of z = (x – M)/s the formula is x = z(s) + M, what ...
ALU Correlation Between Resting and After Exercise Heartbeat Rates Questions
In this lesson, you will run a correlation between the resting and after exercising heart rates to determine if a linear r ...
ALU Correlation Between Resting and After Exercise Heartbeat Rates Questions
In this lesson, you will run a correlation between the resting and after exercising heart rates to determine if a linear relationship exists between the two variables and how strong the relationship is. Steps Open the Heart Rate Dataset in Excel and identify the X-variable (resting heart rates for all 200 participants) and the Y-variable (after exercise heart rates for all 200 participants). Use the Scatter Plot function in the Insert Charts section of Excel to create a scatter plot of the X and Y variables Add a trendline to the scatter plot Use the Data Analysis tools in Excel to find the regression equation. In a Word document, describe the relationship between the X-variable (resting heart rate)and the Y-variable (after exercise heart rate). Graph the scatter plot with a trend line. Does it appear there is a linear relationship? What does this mean? Calculate the correlation coefficient r using excel. Is this r (value) high compared to +1? Based on the correlation coefficient is the relationship strong? Use excel to find the regression equation. Identify the slope. What does it tell us in terms of our heart rate data?
MAT 240 Southern New Hampshire University Housing Price Prediction Worksheet
CompetenciesIn this project, you will demonstrate your mastery of the following competencies:Apply statistical techniques ...
MAT 240 Southern New Hampshire University Housing Price Prediction Worksheet
CompetenciesIn this project, you will demonstrate your mastery of the following competencies:Apply statistical techniques to address research problemsPerform regression analysis to address an authentic problemOverviewThe purpose of this project is to have you complete all of the steps of a real-world linear regression research project starting with developing a research question, then completing a comprehensive statistical analysis, and ending with summarizing your research conclusions.ScenarioYou have been hired by the D. M. Pan National Real Estate Company to develop a model to predict housing prices for homes sold in 2019. The CEO of D. M. Pan wants to use this information to help their real estate agents better determine the use of square footage as a benchmark for listing prices on homes. Your task is to provide a report predicting the housing prices based square footage. To complete this task, use the provided real estate data set for all U.S. home sales as well as national descriptive statistics and graphs provided.DirectionsUsing the Project One Template located in the What to Submit section, generate a report including your tables and graphs to determine if the square footage of a house is a good indicator for what the listing price should be. Reference the National Statistics and Graphs document for national comparisons and the Real Estate Data spreadsheet (both found in the Supporting Materials section) for your statistical analysis.Note: Present your data in a clearly labeled table and using clearly labeled graphs.Specifically, include the following in your report:IntroductionDescribe the report: Give a brief description of the purpose of your report.Define the question your report is trying to answer.Explain when using linear regression is most appropriate.When using linear regression, what would you expect the scatterplot to look like?Explain the difference between response and predictor variables in a linear regression to justify the selection of variables.Data CollectionSampling the data: Select a random sample of 50 houses.Identify your response and predictor variables.Scatterplot: Create a scatterplot of your response and predictor variables to ensure they are appropriate for developing a linear model.Data AnalysisHistogram: For your two variables, create histograms.Summary statistics: For your two variables, create a table to show the mean, median, and standard deviation.Interpret the graphs and statistics:Based on your graphs and sample statistics, interpret the center, spread, shape, and any unusual characteristic (outliers, gaps, etc.) for the two variables.Compare and contrast the shape, center, spread, and any unusual characteristic for your sample of house sales with the national population. Is your sample representative of national housing market sales?Develop Your Regression ModelScatterplot: Provide a graph of the scatterplot of the data with a line of best fit.Explain if a regression model is appropriate to develop based on your scatterplot.Discuss associations: Based on the scatterplot, discuss the association (direction, strength, form) in the context of your model.Identify any possible outliers or influential points and discuss their effect on the correlation.Discuss keeping or removing outlier data points and what impact your decision would have on your model.Find r: Find the correlation coefficient (r).Explain how the r value you calculated supports what you noticed in your scatterplot.Determine the Line of Best Fit. Clearly define your variables. Find and interpret the regression equation. Assess the strength of the model.Regression equation: Write the regression equation (i.e., line of best fit) and clearly define your variables.Interpret regression equation: Interpret the slope and intercept in context.Strength of the equation: Provide and interpret R-squared.Determine the strength of the linear regression equation you developed.Use regression equation to make predictions: Use your regression equation to predict how much you should list your home for based on the square footage of your home.ConclusionsSummarize findings: In one paragraph, summarize your findings in clear and concise plain language for the CEO to understand. Summarize your results.Did you see the results you expected, or was anything different from your expectations or experiences?What changes could support different results, or help to solve a different problem?Provide at least one question that would be interesting for follow-up research.What to SubmitTo complete this project, you must submit the following:Project One Template: Use this template to structure your report, and submit the finished version as a Word document.Supporting MaterialsThe following resources may help support your work on the project:Document: National Statistics and GraphsUse this data for input in your project report.Spreadsheet: Real Estate DataUse this data for input in your project report.Tutorial: Downloading Office 365 ProgramsUse this tutorial for support with Office 365 programs.
30 pages
Algebra of Polynomials
By now, you should be familiar with variables and exponents, and you may have dealt with expressions like 3x³ or 6x. Poly ...
Algebra of Polynomials
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QMB 3250 Florida State College at Jacksonville Data Analysis & Descriptive Statistics Worksheet
For this assignment, you will conduct research to gather data on career salaries, and you will practice analyzing that dat ...
QMB 3250 Florida State College at Jacksonville Data Analysis & Descriptive Statistics Worksheet
For this assignment, you will conduct research to gather data on career salaries, and you will practice analyzing that data using descriptive statistics.Go to http://jobsearch.monster.com. (Links to an external site.) Choose any job category and location. Then look through the first 30 jobs listed and record the annual salaries (assume 40 hours/week, 50 weeks/year, 2000 hours/year). Then change ONE of the parameters (either the job category OR the location but not both) and collect another 30 salaries (Do not use the results if fewer than 20 jobs are listed.)Compute the descriptive statistics and create a frequency distribution for the two sets of salaries. Be sure to tell us the range, 1st quartile, 3rd quartile, interquartile range, mean, median, and mode. Also, using the standard error formula, what is the upper level and lower level at 95% confidence and what is your conclusion? You may also want to get data from http://www.glassdoor.com/Salaries (Links to an external site.); this site provides a lot of salary information by title and location. You have to sign up for an account, but that's quick and free. You can also use your own sources as long as you provide us with the link.Once you have completed your calculations, write a 1–2 paragraph summary of your findings. Describe the variables you chose and the typical salaries you found. How did the data change when you changed the parameters? What comparison conclusions can you draw from your findings? Your summary write-up should show your understanding of the analysis method and should be clearly written using formal English and APA style.You should submit your work as an Excel spreadsheet. Place your summary in a separate tab in the Excel file.SubmissionThis assignment requires a file upload submission. After you have reviewed the assignment instructions and rubric, as applicable, complete your submission by selecting the Submit Assignment button next to the assignment title.GradingThis assignment is worth 40 points toward your final grade and will be graded using the Data Analysis Assignment Rubric. Please use it as a guide toward successful completion of this assignment. For information on how to view the rubric, refer to this Canvas Community Guide (Links to an external site.).RubricData Analysis Assignment RubricData Analysis Assignment RubricCriteriaRatingsPtsThis criterion is linked to a Learning OutcomeAnalytical Composition20.0 to >17.0 ptsExemplaryAssignment includes thoroughly documented elements as provided in the assignment requirements. Including but, not limited to, a clear understanding and interpretation of the table results, identification of notable patterns, trends, relationships, associations, as well the use of academic sources and a summary of the results wherein a clear understanding is evident. The work reflects organized thought, dialectic reflection, and higher-order thinking.17.0 to >14.0 ptsMeets ExpectationsAssignment includes documented elements as provided in the assignment requirements. Including but, not limited to, a clear understanding and interpretation of the table results, identification of notable patterns, trends, relationships, associations, as well the use of academic sources and a summary of the results wherein a clear understanding is evident. Overall, the work reflects organized thought, dialectic reflection, and higher-order thinking.14.0 to >9.0 ptsDevelopingAssignment document most elements as provided in the assignment requirements with particular parts including but not limited to, a clear understanding and interpretation of the table results, identification of notable patterns, trends, relationships, associations, as well the use of academic sources. A summary of the results doesn’t provide a clear understanding. The analysis is not well-done, but does contain some indication of organized thought and higher-order thinking.9.0 to >4.0 ptsNoviceAssignment fails to document elements as provided in the assignment requirements. Particular parts including but not limited to, a clear understanding and interpretation of the table results, identification of notable patterns, trends, relationships, associations, as well the use of academic sources and a summary of the results are poorly done. The analysis composition is poor, and the work contains minimal thought.4.0 to >0 ptsBelow ExpectationsAssignment fails to document elements as provided in the assignment requirements. Particular parts including but not limited to, a clear understanding and interpretation of the table results, identification of notable patterns, trends, relationships, associations, as well the use of academic sources and a summary of the results are totally absent. The analysis composition is totally absent, and the work does not contain the organized thought and higher-order thinking.20.0 ptsThis criterion is linked to a Learning OutcomeTechnical Composition10.0 to >8.0 ptsExemplaryAssignment provides properly displayed and APA formatted table(s), as well as correct hypotheses (null and alternate) which provide necessary elements8.0 to >6.0 ptsMeets ExpectationsAssignment provides tables, but minor errors exist in both the display and/or APA format table(s). Hypotheses both null and alternate are provided, but minor errors in content or format exist.6.0 to >4.0 ptsDevelopingAssignment provides tables, but numerous errors exist in both the display and/or APA format table(s). Hypotheses both null and alternate are provided, but numerous errors in content or format exist.4.0 to >0.0 ptsNoviceTables and hypotheses are either poorly done or totally absent from the assignment0.0 ptsBelow ExpectationsNot submitted10.0 ptsThis criterion is linked to a Learning OutcomeStyle, Format, Organization and Grammar10.0 to >8.0 ptsExemplaryFollows APA writing style and basic rules of formal English grammar and written essay style, exhibiting higher levels of critical thinking than memory/recall. Communicates in a cohesive, logical style. Moreover, the document is well organized. The format is easy to follow, flows smoothly from one idea to another, and logically conveys the key ideas. The style remains consistent.8.0 to >6.0 ptsMeets ExpectationsMostly follows APA writing style and basic rules of formal English grammar and written essay style, exhibiting higher levels of critical thinking than memory/recall. Mostly communicates in a cohesive, logical style. Additionally, The document is presented in a thoughtful manner; there is an overall organization, and transitions are easy to follow.6.0 to >4.0 ptsDevelopingAPA writing style and basic rules of formal English grammar and written essay style are followed, but with many minor errors. Generally exhibiting higher levels of critical thinking than memory/recall. Mostly communicates in a cohesive, logical style though sometime confusing. Additionally, The document is presented in a thoughtful manner; there is an overall organization, and most transitions are easy to follow, but at times ideas are unclear.4.0 to >0.0 ptsNoviceDoes not follow APA writing style and basic rules of formal English grammar and written essay style. Does not exhibit higher levels of critical thinking than memory/recall. Does not communicate in a cohesive, logical style. The document is inconsistent and at times unorganized; format is difficult to follow; transitions of ideas are abrupt and distracting.0.0 ptsBelow ExpectationsNot submitted10.0 ptsTotal Points: 40.0PreviousNextBriefly describe your findings from Assignment: Data Analysis 1 for your classmates (be sure to attach your excel file containing the data source and analysis). What did you learn from this process? How could this data analysis technique be useful in making business decisions?
4 pages
Painter Exp19 Excel Ch12 Cap Assessment Teachingschedule
' When run, this macro clears the values in the schedule Range("G1,C5:G6,C8:G9,C11:G12,C14:G15,C17:G19").Select
Painter Exp19 Excel Ch12 Cap Assessment Teachingschedule
' When run, this macro clears the values in the schedule Range("G1,C5:G6,C8:G9,C11:G12,C14:G15,C17:G19").Select
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