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An interstate route exit is a circular arc of 330 m long with a central angle of 79.40. What is the radius of curvature of the exit?
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circumference is pie x diameter=330m
360-79.4=280.6 degrees
(330x360)/(3.142x280.6)=diameter
=134.75
radius=67.375m
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MAT 243 SNHU Python Scripts for the Module Six And Python Script Discussion
DISCUSSION 1: In this discussion you will be interpreting output from your Python Scripts for the Module Six Discussion. I ...
MAT 243 SNHU Python Scripts for the Module Six And Python Script Discussion
DISCUSSION 1: In this discussion you will be interpreting output from your Python Scripts for the Module Six Discussion. If you did not complete the Module Six discussion, please complete that before working on this assignment.Last week’s discussion involved development of a multiple regression model that used miles per gallon as a response variable. Weight and horsepower were predictor variables. You performed an overall F-test to evaluate the significance of your model. This week, you will evaluate the significance of individual predictors. You will use output of Python script from Module Six to perform individual t-tests for each predictor variable. Specifically, you will look at Step 5 of the Python script to answer all questions in the discussion this week.In your initial post, address the following items:Is at least one of the two variables (weight and horsepower) significant in the model? Run the overall F-test and provide your interpretation at 5% level of significance. See Step 5 in the Python script. Include the following in your analysis:Define the null and alternative hypothesis in mathematical terms and in words.Report the level of significance.Include the test statistic and the P-value. (Hint: F-Statistic and Prob (F-Statistic) in the output).Provide your conclusion and interpretation of the test. Should the null hypothesis be rejected? Why or why not?What is the slope coefficient for the weight variable? Is this coefficient significant at 5% level of significance (alpha=0.05)? (Hint: Check the P-value, , for weight in Python output. Recall that this is the individual t-test for the beta parameter.) See Step 5 in the Python script.What is the slope coefficient for the horsepower variable? Is this coefficient significant at 5% level of significance (alpha=0.05)? (Hint: Check the P-value, , for horsepower in Python output. Recall that this is the individual t-test for the beta parameter.) See Step 5 in the Python script.What is the purpose of performing individual t-tests after carrying out the overall F-test? What are the differences in the interpretation of the two tests?What is the coefficient of determination of your multiple regression model from Module Six? Provide appropriate interpretation of this statistic. Be sure to clearly communicate your ideas using appropriate terminology. DISCUSSION 2Use the link in the Jupyter Notebook activity to access your MODULE 8 DISCUSSION Python script. In this discussion, you will apply the statistical concepts and techniques covered in this week's reading about one-way analysis of variance (ANOVA). An investment analyst is evaluating the 10-year mean return on investment for industry-specific exchange-traded funds (ETFs) for three sectors: financial, energy, and technology. The analyst obtains a random sample of 30 ETFs for each sector and calculates the 10-year return of each ETF. The analyst has provided you with this data set. Run Step 1 in the Python script to upload the data file.Using the sample data, perform one-way analysis of variance (ANOVA). Evaluate whether the average return of at least one of the industry-specific ETFs is significantly different. Use a 5% level of significance.In your initial post, address the following items:Define the null and alternative hypothesis in mathematical terms and in words.Report the level of significance.Include the test statistic and the P-value. See Step 2 in the Python script.Provide your conclusion and interpretation of the test. Should the null hypothesis be rejected? Why or why not?Does a side-by-side boxplot of the 10-year returns of ETFs from the three sectors confirm your conclusion of the hypothesis test? Why or why not? See Step 3 in the Python script.Finally, be sure to review the Discussion Rubric (ATTACHED) to understand how you will be graded on this assignment.
Statistics for Decision Making
Purpose of AssignmentThis assignment provides students with practice in understanding how to develop a hypothesis and inte ...
Statistics for Decision Making
Purpose of AssignmentThis assignment provides students with practice in understanding how to develop a hypothesis and interpret its findings. Students will learn to implement the use of these statistical measures for better business decision-making. Assignment Steps Resources: Week 4 Videos; Week 4 Readings; Statistics Lab Tutorial help on Excel® and Word functions can be found on the Microsoft® Office website. There are also additional tutorials via the web offering support for Office products. Use the same business problem/opportunity and research variable you wrote about in Week 3. Note: Do not actually collect any data; think hypothetically. Develop a 1,050-word report in which you: Identify which types of descriptive statistics might be best for summarizing the data, if you were to collect a sample.Analyze which types of inferential statistics might be best for analyzing the data, if you were to collect a sample.Analyze the role probability or trend analysis might play in helping address the business problem. Analyze the role linear regression for trend analysis might play in helping address the business problem.Analyze the role a time series might play in helping address the business problem. Format your assignment consistent with APA guidelines.I have enclosed the Initial Paper to assist in this second Part. Please see attached.
Use the regression feature of a graphing utility to find a quadratic model for the data with t = 8 corresponding to 1998. Which of the following functions best represents the data using a quadratic model?,
The table below shows the sales S (in millions of dollars) for jogging and running shows from 1998 to 2004. 1. Use th ...
Use the regression feature of a graphing utility to find a quadratic model for the data with t = 8 corresponding to 1998. Which of the following functions best represents the data using a quadratic model?,
The table below shows the sales S (in millions of dollars) for jogging and running shows from 1998 to 2004. 1. Use the regression feature of a graphing utility to find a quadratic model for the data with t = 8 corresponding to 1998. Which of the following functions best represents the data using a quadratic model?a. f(x) = 64.36x + 1407.14b. f(x) = 64.36x + 956.64(c.) f(x) = -3.07x2 + 88.93x + 1370.29d. f(x) = -3.07x2 + 131.93x + 597.292. Use the regression feature of a graphing utility to find a quadratic model for the data with t = 8 corresponding to 1998. According to this model, what will the Sales be in 2010? round to the nearest million dollars.a. 1214 million dollarsb. 2007 million dollarsc. 1920 million dollars(d.) 2243 million dollars 3. Find the coefficient of determination for the quadratic model. Round to four decimal places.a. 0.9869b. 0.9807c. 0.9903(d.) 0.97414. Find the coefficient of determination for the linear model. Round to four decimal places.a. 0.9869b. 0.9807c. 0.9903(d.) 0.97415. Find the coefficient of determination for each and use it to determine which is a better model.(a.) Linearb. QuadraticThe following table shows the percent of classrooms with internet access from the years 1994 to 1999. 6. Use the regression feature of a graphing utility to find a quadratic model that represents the data with t = 4 corresponding to 1994. Which of the following functions best represents the data using a quadratic model?a. f(x) = 1.91x2 + 12.21x + 20.74b. f(x) = 1.91x2 - 12.21x + 20.74c. f(x) = 12.63x - 16.53(d.) f(x) = 12.63x - 54.427. Use the regression feature of a graphing utility to find a quadratic model that represents the data with t = 4 corresponding to 1994. What is the coefficient of determination for the quadratic model? Round to four decimal places.a. 0.9838b. 0.9919(c.) 0.9685d. 0.9380
creating a memo from a pivot table
Your task is to write a 2 page Memo Report on the group you are assigned to from the "Product Material PivotTable" tab you ...
creating a memo from a pivot table
Your task is to write a 2 page Memo Report on the group you are assigned to from the "Product Material PivotTable" tab you created from Module 5 Project Assignment.Steps: 1. From the Material filter to your assigned group on Canvas (Gold, Silver or Copper). 2. From the Type filter select “Select All”.The Memo Report should contain information / analysis about the data you are viewing, which attributes were used, and what do the results indicate.PivotTable: Material Type Total Sales Grand TotalPivotChart: Column Chart Filter by Material Type Legend by yearsMemo Report Length: 2 Pages double spacedEnsure that you embed your unique copy of the PivotTable and PivotChart in your Memo Report from the worksheet. Then submit the Memo Report to Canvas. You may download a memo template from Microsoft Word in order to complete this assignment.
LCCC Standard Deviation & Test Statistic Tuition Costs Hypothesis Testing Worksheet
Hypothesis Testing Project Listed Below are the Tuition Costs for the 50 States in the U.S. for in and out of state ...
LCCC Standard Deviation & Test Statistic Tuition Costs Hypothesis Testing Worksheet
Hypothesis Testing Project Listed Below are the Tuition Costs for the 50 States in the U.S. for in and out of state State In - State Out of State State In State Out of State Alabama $10,539 $25,760 Montana $ 6.920 $ 23,220 Alaska 7,440 22,840 Nebraska 8,270 20,310 Arizona 11,220 29,750 New Hampshire 16,070 28,430 Arkansas 8,550 21,000 New Jersey 13,870 26,600 California 9.680 32,590 New Mexico 6,920 20,060 Colorado 10,800 30,600 New York 7,940 24,520 Connecticut 12,390 29,020 N. Carolina 7,380 19,500 Delaware 12,270 30,970 N. Dakota 8,200 19,420 Florida 6,360 21,880 Ohio 10,510 25,000 Georgia 8,570 26,760 Oklahoma 8,460 22,250 Hawaii 10,660 31,090 Oregon 10,360 30,300 Idaho 7,250 31,090 Pennsylvania 14,440 26,960 Illinois 13,620 23,480 Rhode Island 12,230 28,910 Indiana 9.360 29,170 S. Carolina 12,610 31,350 Iowa 8,760 29,170 S. Dakota 8,450 12,480 Kansas 9,230 23,910 Tennessee 9,790 26,640 Kentucky 10,300 23,710 Texas 9,840 26,640 Louisiana 9,300 23,280 Utah 6,790 20,730 Maine 9,970 27,010 Vermont 16,040 38,990 Maryland 9,580 22,060 Virginia 12,820 33,270 Massachusetts 12,730 29,220 Washington 9,480 29,300 Michigan 12,930 36,840 W. Virginia 7,890 21,550 Minnesota 11,300 20,890 Wisconsin 8,960 22,930 Mississippi 8,870 19,060 Wyoming 5,220 16,830 Missouri 8,870 23,220 Random choose 30 random tuition cost from the above table either for In-State or Out of State tuition cost. Find the mean and the standard deviation for the data set you chose.The College Board is an American not-for-profit organization that was formed in December 1899 as the College Entrance Examination Board to expand access to higher education. While the College Board is not an association of colleges, it runs a membership association of institutions, including over 6,000 schools, colleges, universities, and other educational organizations. The College Board states that the Average Total Cost of Public Colleges: $25,290 (in-state) $40,940 (out-of-state) and the Average Total Cost of Private Colleges: $50,900.Depending upon whether you chose In-State or Out- of-State, create the hypothesis student t test with a 0.05 level of significance, is greater than or less than the stated values above.The standard deviation is known to be $659 for college tuition, complete the following hypothesis test for that the standard deviation of college tuition is not equal to $659. State the null and alternate hypothesis.Find the critical values:Alpha ______d.f ________Critical t: _______Compute the sample test statistic using the formula : t = Complete the diagram:Indicate whether to reject of do not reject Ho. ____________________Write your written conclusion below: a) State the null and alternate hypothesis: Find the critical values:Alpha ______d.f ________ = _________ = _______Find the test statistic: Complete the diagram:Indicate whether to reject of do not reject Ho. ____________________ Write your written conclusion below:
one way ANOVA
For this assessment, you will complete an SPSS data analysis report using a one-way ANOVA for assigned variables.We are of ...
one way ANOVA
For this assessment, you will complete an SPSS data analysis report using a one-way ANOVA for assigned variables.We are often confronted with a need to compare the means of more than two groups. We may also need to compare more than two scores among a sample of participants. ANOVA, ANalysisOf VAariance, is a technique designed to address such questions.By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:Competency 1: Analyze the computation, application, strengths and limitations of various statistical tests.Develop a conclusion, including strengths and limitations of a one-way ANOVA.Competency 2: Analyze the decision making process of data analysis.Analyze the assumptions of a one-way ANOVA.Competency 3: Apply knowledge of hypothesis testing.Articulate a research question, null hypothesis, alternative hypothesis, and alpha level.Competency 4: Interpret the results of statistical analyses.Interpret the one-way ANOVA output.Competency 5: Apply a statistical program's procedure to a data set.Apply the appropriate SPSS procedures to check assumptions and calculate the one-way ANOVA to generate relevant output.Competency 6: Apply the results of statistical analyses to a field of interest or career.Develop a context for the data set, including a definition of required variables and scales of measurement.Competency 7: Communicate in a manner that is scholarly, professional, and consistent with the expectations for members in the identified field of study.Communicate in a manner that is scholarly, professional, and consistent with expectations for members of the identified field of study.Read the Assessment 4 Context document for important information on the following topics:The logic of a one-way ANOVA.Avoiding inflated Type I error.Hypothesis testing in one-way ANOVA.Assumptions of one-way ANOVA.As you prepare to complete this assessment, you may want to think about other related issues to deepen your understanding or broaden your viewpoint. You are encouraged to consider the questions below and discuss them with a fellow learner, a work associate, an interested friend, or a member of your professional community. Note that these questions are for your own development and exploration and do not need to be completed or submitted as part of your assessment.APPLICATION OF F-TESTSIs there a research question from your professional life or career specialization that can be addressed by a one-way ANOVA?Why would a one-way ANOVA be the appropriate analysis for this research question?What is the expected outcome?REQUIRED RESOURCESThe following resources are required to complete the assessment.Assessment 4 Context.DAA Template.SPSS Data Analysis Report Guidelines.IBM SPSS Step-by-Step Guide: One-Way ANOVA.Copy/Export Output Instructions.In addition, you will need the grades.savfile that you created from the grades2.datfile in Assessment 1.SPSS SoftwareCapella University requires learners to meet certain minimum computer requirements. Please note that some software required for a course may exceed these minimum requirements. The following statistical analysis software is required to complete your assessments in this course:IBM SPSS Statistics (recent version for PC or Mac).This course requires the following as a minimum:IBM SPSS Statistics Standard GradPack. (The Base GradPack is not acceptable for use in this course.)Internet ResourcesLane, D. M. (2013). HyperStat online: An introductory statistics textbook and online tutorial for help in statistics courses. Retrieved from http://davidmlane.com/hyperstatStatSoft, Inc. (2013). Electronic statistics textbook. Tulsa, OK: StatSoft. Retrieved fromhttp://www.statsoft.com/textbookSophia. (2014). Retrieved from http://www.sophia.org/Browse Sophia for tutorials that explore statistical topics.StatisticsLectures.com. (2012). Free statistic lectures. Retrieved fromhttp://statisticslectures.com/Khan Academy. (2013). Retrieved from https://www.khanacademy.orgThis Web site offers resources covering a range of subjects, including statisticsHall, R. (1998). Between subjects one-way ANOVA example. Psychology World. Retrieved from http://web.mst.edu/~psyworld/anovaexample.htmElliot, A. C. (2012). ANOVA using Microsoft Excel: One-way analysis of variance. Excel Tutorials for Statistical Data Analysis. Retrieved fromhttp://www.stattutorials.com/EXCEL/EXCEL_ANOVA.htm...Onwuegbuzie, T. (Producer). (2009). Mixed methods research[Video] | Transcript. Available from http://videolectures.net/ssmt09_onwuegbuzie_mmrPREPARATIONRead the Assessment 4 Context document (linked in the Resources, under the Required Resources heading) to learn about the concepts used in this assessment.You will use the following resources for this assessment. They are linked in the Required Resources.Complete this assessment using the DAA Template.Read the SPSS Data Analysis Report Guidelines for a more complete understanding of the DAA Template and how to format and organize your assessment.Refer to IBM SPSS Step-By-Step Instructions: One-Way ANOVA for additional information on using SPSS for this assessment.If necessary, review the Copy/Export Output Instructions to refresh your memory on how to perform these tasks. As with your previous assessments, your submission should be narrative with supporting statistical output (table and graphs) integrated into the narrative in the appropriate place (not all at the end of the document).You will analyze the following variables in the grades.sav data set:section.quiz3.DIRECTIONSStep 1: Write Section 1 of the DAAProvide a context of the grades.sav data set.Include a definition of the specified variables (predictor, outcome) and corresponding scales of measurement.Specify the sample size of the data set.Step 2: Write Section 2 of the DAAAnalyze the assumptions of the one-way ANOVA.Paste the SPSS histogram output for quiz3 and discuss your visual interpretations.Paste SPSS descriptives output showing skewness and kurtosis values for quiz3 and interpret them.Paste SPSS output for the Shapiro-Wilk test of quiz3 and interpret it.Report the results of the Levene's test and interpret it.Summarize whether or not the assumptions of the one-way ANOVA are met.Step 3: Write Section 3 of the DAASpecify a research question related to the one-way ANOVA.Articulate the null hypothesis and alternative hypothesis.Specify the alpha level.Step 4: Write Section 4 of the DAABegin by pasting SPSS output of the means plot and providing an interpretation.Also report the means and standard deviations of quiz3 for each level of section.Next, paste the SPSS ANOVA output and report the results of the F test, including:Degrees of freedom.Fvalue.pvalue.Calculated effect size.Interpretation of the effect size.Finally, if the omnibus F is significant, provide the SPSS post-hoc (Tukey HSD) output.Interpret the post-hoc tests.Step 5: Write Section 5 of the DAADiscuss the conclusions of the one-way ANOVA as it relates to the research question.Conclude with an analysis of the strengths and limitations of one-way ANOVA
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MAT 243 SNHU Python Scripts for the Module Six And Python Script Discussion
DISCUSSION 1: In this discussion you will be interpreting output from your Python Scripts for the Module Six Discussion. I ...
MAT 243 SNHU Python Scripts for the Module Six And Python Script Discussion
DISCUSSION 1: In this discussion you will be interpreting output from your Python Scripts for the Module Six Discussion. If you did not complete the Module Six discussion, please complete that before working on this assignment.Last week’s discussion involved development of a multiple regression model that used miles per gallon as a response variable. Weight and horsepower were predictor variables. You performed an overall F-test to evaluate the significance of your model. This week, you will evaluate the significance of individual predictors. You will use output of Python script from Module Six to perform individual t-tests for each predictor variable. Specifically, you will look at Step 5 of the Python script to answer all questions in the discussion this week.In your initial post, address the following items:Is at least one of the two variables (weight and horsepower) significant in the model? Run the overall F-test and provide your interpretation at 5% level of significance. See Step 5 in the Python script. Include the following in your analysis:Define the null and alternative hypothesis in mathematical terms and in words.Report the level of significance.Include the test statistic and the P-value. (Hint: F-Statistic and Prob (F-Statistic) in the output).Provide your conclusion and interpretation of the test. Should the null hypothesis be rejected? Why or why not?What is the slope coefficient for the weight variable? Is this coefficient significant at 5% level of significance (alpha=0.05)? (Hint: Check the P-value, , for weight in Python output. Recall that this is the individual t-test for the beta parameter.) See Step 5 in the Python script.What is the slope coefficient for the horsepower variable? Is this coefficient significant at 5% level of significance (alpha=0.05)? (Hint: Check the P-value, , for horsepower in Python output. Recall that this is the individual t-test for the beta parameter.) See Step 5 in the Python script.What is the purpose of performing individual t-tests after carrying out the overall F-test? What are the differences in the interpretation of the two tests?What is the coefficient of determination of your multiple regression model from Module Six? Provide appropriate interpretation of this statistic. Be sure to clearly communicate your ideas using appropriate terminology. DISCUSSION 2Use the link in the Jupyter Notebook activity to access your MODULE 8 DISCUSSION Python script. In this discussion, you will apply the statistical concepts and techniques covered in this week's reading about one-way analysis of variance (ANOVA). An investment analyst is evaluating the 10-year mean return on investment for industry-specific exchange-traded funds (ETFs) for three sectors: financial, energy, and technology. The analyst obtains a random sample of 30 ETFs for each sector and calculates the 10-year return of each ETF. The analyst has provided you with this data set. Run Step 1 in the Python script to upload the data file.Using the sample data, perform one-way analysis of variance (ANOVA). Evaluate whether the average return of at least one of the industry-specific ETFs is significantly different. Use a 5% level of significance.In your initial post, address the following items:Define the null and alternative hypothesis in mathematical terms and in words.Report the level of significance.Include the test statistic and the P-value. See Step 2 in the Python script.Provide your conclusion and interpretation of the test. Should the null hypothesis be rejected? Why or why not?Does a side-by-side boxplot of the 10-year returns of ETFs from the three sectors confirm your conclusion of the hypothesis test? Why or why not? See Step 3 in the Python script.Finally, be sure to review the Discussion Rubric (ATTACHED) to understand how you will be graded on this assignment.
Statistics for Decision Making
Purpose of AssignmentThis assignment provides students with practice in understanding how to develop a hypothesis and inte ...
Statistics for Decision Making
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Use the regression feature of a graphing utility to find a quadratic model for the data with t = 8 corresponding to 1998. Which of the following functions best represents the data using a quadratic model?,
The table below shows the sales S (in millions of dollars) for jogging and running shows from 1998 to 2004. 1. Use th ...
Use the regression feature of a graphing utility to find a quadratic model for the data with t = 8 corresponding to 1998. Which of the following functions best represents the data using a quadratic model?,
The table below shows the sales S (in millions of dollars) for jogging and running shows from 1998 to 2004. 1. Use the regression feature of a graphing utility to find a quadratic model for the data with t = 8 corresponding to 1998. Which of the following functions best represents the data using a quadratic model?a. f(x) = 64.36x + 1407.14b. f(x) = 64.36x + 956.64(c.) f(x) = -3.07x2 + 88.93x + 1370.29d. f(x) = -3.07x2 + 131.93x + 597.292. Use the regression feature of a graphing utility to find a quadratic model for the data with t = 8 corresponding to 1998. According to this model, what will the Sales be in 2010? round to the nearest million dollars.a. 1214 million dollarsb. 2007 million dollarsc. 1920 million dollars(d.) 2243 million dollars 3. Find the coefficient of determination for the quadratic model. Round to four decimal places.a. 0.9869b. 0.9807c. 0.9903(d.) 0.97414. Find the coefficient of determination for the linear model. Round to four decimal places.a. 0.9869b. 0.9807c. 0.9903(d.) 0.97415. Find the coefficient of determination for each and use it to determine which is a better model.(a.) Linearb. QuadraticThe following table shows the percent of classrooms with internet access from the years 1994 to 1999. 6. Use the regression feature of a graphing utility to find a quadratic model that represents the data with t = 4 corresponding to 1994. Which of the following functions best represents the data using a quadratic model?a. f(x) = 1.91x2 + 12.21x + 20.74b. f(x) = 1.91x2 - 12.21x + 20.74c. f(x) = 12.63x - 16.53(d.) f(x) = 12.63x - 54.427. Use the regression feature of a graphing utility to find a quadratic model that represents the data with t = 4 corresponding to 1994. What is the coefficient of determination for the quadratic model? Round to four decimal places.a. 0.9838b. 0.9919(c.) 0.9685d. 0.9380
creating a memo from a pivot table
Your task is to write a 2 page Memo Report on the group you are assigned to from the "Product Material PivotTable" tab you ...
creating a memo from a pivot table
Your task is to write a 2 page Memo Report on the group you are assigned to from the "Product Material PivotTable" tab you created from Module 5 Project Assignment.Steps: 1. From the Material filter to your assigned group on Canvas (Gold, Silver or Copper). 2. From the Type filter select “Select All”.The Memo Report should contain information / analysis about the data you are viewing, which attributes were used, and what do the results indicate.PivotTable: Material Type Total Sales Grand TotalPivotChart: Column Chart Filter by Material Type Legend by yearsMemo Report Length: 2 Pages double spacedEnsure that you embed your unique copy of the PivotTable and PivotChart in your Memo Report from the worksheet. Then submit the Memo Report to Canvas. You may download a memo template from Microsoft Word in order to complete this assignment.
LCCC Standard Deviation & Test Statistic Tuition Costs Hypothesis Testing Worksheet
Hypothesis Testing Project Listed Below are the Tuition Costs for the 50 States in the U.S. for in and out of state ...
LCCC Standard Deviation & Test Statistic Tuition Costs Hypothesis Testing Worksheet
Hypothesis Testing Project Listed Below are the Tuition Costs for the 50 States in the U.S. for in and out of state State In - State Out of State State In State Out of State Alabama $10,539 $25,760 Montana $ 6.920 $ 23,220 Alaska 7,440 22,840 Nebraska 8,270 20,310 Arizona 11,220 29,750 New Hampshire 16,070 28,430 Arkansas 8,550 21,000 New Jersey 13,870 26,600 California 9.680 32,590 New Mexico 6,920 20,060 Colorado 10,800 30,600 New York 7,940 24,520 Connecticut 12,390 29,020 N. Carolina 7,380 19,500 Delaware 12,270 30,970 N. Dakota 8,200 19,420 Florida 6,360 21,880 Ohio 10,510 25,000 Georgia 8,570 26,760 Oklahoma 8,460 22,250 Hawaii 10,660 31,090 Oregon 10,360 30,300 Idaho 7,250 31,090 Pennsylvania 14,440 26,960 Illinois 13,620 23,480 Rhode Island 12,230 28,910 Indiana 9.360 29,170 S. Carolina 12,610 31,350 Iowa 8,760 29,170 S. Dakota 8,450 12,480 Kansas 9,230 23,910 Tennessee 9,790 26,640 Kentucky 10,300 23,710 Texas 9,840 26,640 Louisiana 9,300 23,280 Utah 6,790 20,730 Maine 9,970 27,010 Vermont 16,040 38,990 Maryland 9,580 22,060 Virginia 12,820 33,270 Massachusetts 12,730 29,220 Washington 9,480 29,300 Michigan 12,930 36,840 W. Virginia 7,890 21,550 Minnesota 11,300 20,890 Wisconsin 8,960 22,930 Mississippi 8,870 19,060 Wyoming 5,220 16,830 Missouri 8,870 23,220 Random choose 30 random tuition cost from the above table either for In-State or Out of State tuition cost. Find the mean and the standard deviation for the data set you chose.The College Board is an American not-for-profit organization that was formed in December 1899 as the College Entrance Examination Board to expand access to higher education. While the College Board is not an association of colleges, it runs a membership association of institutions, including over 6,000 schools, colleges, universities, and other educational organizations. The College Board states that the Average Total Cost of Public Colleges: $25,290 (in-state) $40,940 (out-of-state) and the Average Total Cost of Private Colleges: $50,900.Depending upon whether you chose In-State or Out- of-State, create the hypothesis student t test with a 0.05 level of significance, is greater than or less than the stated values above.The standard deviation is known to be $659 for college tuition, complete the following hypothesis test for that the standard deviation of college tuition is not equal to $659. State the null and alternate hypothesis.Find the critical values:Alpha ______d.f ________Critical t: _______Compute the sample test statistic using the formula : t = Complete the diagram:Indicate whether to reject of do not reject Ho. ____________________Write your written conclusion below: a) State the null and alternate hypothesis: Find the critical values:Alpha ______d.f ________ = _________ = _______Find the test statistic: Complete the diagram:Indicate whether to reject of do not reject Ho. ____________________ Write your written conclusion below:
one way ANOVA
For this assessment, you will complete an SPSS data analysis report using a one-way ANOVA for assigned variables.We are of ...
one way ANOVA
For this assessment, you will complete an SPSS data analysis report using a one-way ANOVA for assigned variables.We are often confronted with a need to compare the means of more than two groups. We may also need to compare more than two scores among a sample of participants. ANOVA, ANalysisOf VAariance, is a technique designed to address such questions.By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:Competency 1: Analyze the computation, application, strengths and limitations of various statistical tests.Develop a conclusion, including strengths and limitations of a one-way ANOVA.Competency 2: Analyze the decision making process of data analysis.Analyze the assumptions of a one-way ANOVA.Competency 3: Apply knowledge of hypothesis testing.Articulate a research question, null hypothesis, alternative hypothesis, and alpha level.Competency 4: Interpret the results of statistical analyses.Interpret the one-way ANOVA output.Competency 5: Apply a statistical program's procedure to a data set.Apply the appropriate SPSS procedures to check assumptions and calculate the one-way ANOVA to generate relevant output.Competency 6: Apply the results of statistical analyses to a field of interest or career.Develop a context for the data set, including a definition of required variables and scales of measurement.Competency 7: Communicate in a manner that is scholarly, professional, and consistent with the expectations for members in the identified field of study.Communicate in a manner that is scholarly, professional, and consistent with expectations for members of the identified field of study.Read the Assessment 4 Context document for important information on the following topics:The logic of a one-way ANOVA.Avoiding inflated Type I error.Hypothesis testing in one-way ANOVA.Assumptions of one-way ANOVA.As you prepare to complete this assessment, you may want to think about other related issues to deepen your understanding or broaden your viewpoint. You are encouraged to consider the questions below and discuss them with a fellow learner, a work associate, an interested friend, or a member of your professional community. Note that these questions are for your own development and exploration and do not need to be completed or submitted as part of your assessment.APPLICATION OF F-TESTSIs there a research question from your professional life or career specialization that can be addressed by a one-way ANOVA?Why would a one-way ANOVA be the appropriate analysis for this research question?What is the expected outcome?REQUIRED RESOURCESThe following resources are required to complete the assessment.Assessment 4 Context.DAA Template.SPSS Data Analysis Report Guidelines.IBM SPSS Step-by-Step Guide: One-Way ANOVA.Copy/Export Output Instructions.In addition, you will need the grades.savfile that you created from the grades2.datfile in Assessment 1.SPSS SoftwareCapella University requires learners to meet certain minimum computer requirements. Please note that some software required for a course may exceed these minimum requirements. The following statistical analysis software is required to complete your assessments in this course:IBM SPSS Statistics (recent version for PC or Mac).This course requires the following as a minimum:IBM SPSS Statistics Standard GradPack. (The Base GradPack is not acceptable for use in this course.)Internet ResourcesLane, D. M. (2013). HyperStat online: An introductory statistics textbook and online tutorial for help in statistics courses. Retrieved from http://davidmlane.com/hyperstatStatSoft, Inc. (2013). Electronic statistics textbook. Tulsa, OK: StatSoft. Retrieved fromhttp://www.statsoft.com/textbookSophia. (2014). Retrieved from http://www.sophia.org/Browse Sophia for tutorials that explore statistical topics.StatisticsLectures.com. (2012). Free statistic lectures. Retrieved fromhttp://statisticslectures.com/Khan Academy. (2013). Retrieved from https://www.khanacademy.orgThis Web site offers resources covering a range of subjects, including statisticsHall, R. (1998). Between subjects one-way ANOVA example. Psychology World. Retrieved from http://web.mst.edu/~psyworld/anovaexample.htmElliot, A. C. (2012). ANOVA using Microsoft Excel: One-way analysis of variance. Excel Tutorials for Statistical Data Analysis. Retrieved fromhttp://www.stattutorials.com/EXCEL/EXCEL_ANOVA.htm...Onwuegbuzie, T. (Producer). (2009). Mixed methods research[Video] | Transcript. Available from http://videolectures.net/ssmt09_onwuegbuzie_mmrPREPARATIONRead the Assessment 4 Context document (linked in the Resources, under the Required Resources heading) to learn about the concepts used in this assessment.You will use the following resources for this assessment. They are linked in the Required Resources.Complete this assessment using the DAA Template.Read the SPSS Data Analysis Report Guidelines for a more complete understanding of the DAA Template and how to format and organize your assessment.Refer to IBM SPSS Step-By-Step Instructions: One-Way ANOVA for additional information on using SPSS for this assessment.If necessary, review the Copy/Export Output Instructions to refresh your memory on how to perform these tasks. As with your previous assessments, your submission should be narrative with supporting statistical output (table and graphs) integrated into the narrative in the appropriate place (not all at the end of the document).You will analyze the following variables in the grades.sav data set:section.quiz3.DIRECTIONSStep 1: Write Section 1 of the DAAProvide a context of the grades.sav data set.Include a definition of the specified variables (predictor, outcome) and corresponding scales of measurement.Specify the sample size of the data set.Step 2: Write Section 2 of the DAAAnalyze the assumptions of the one-way ANOVA.Paste the SPSS histogram output for quiz3 and discuss your visual interpretations.Paste SPSS descriptives output showing skewness and kurtosis values for quiz3 and interpret them.Paste SPSS output for the Shapiro-Wilk test of quiz3 and interpret it.Report the results of the Levene's test and interpret it.Summarize whether or not the assumptions of the one-way ANOVA are met.Step 3: Write Section 3 of the DAASpecify a research question related to the one-way ANOVA.Articulate the null hypothesis and alternative hypothesis.Specify the alpha level.Step 4: Write Section 4 of the DAABegin by pasting SPSS output of the means plot and providing an interpretation.Also report the means and standard deviations of quiz3 for each level of section.Next, paste the SPSS ANOVA output and report the results of the F test, including:Degrees of freedom.Fvalue.pvalue.Calculated effect size.Interpretation of the effect size.Finally, if the omnibus F is significant, provide the SPSS post-hoc (Tukey HSD) output.Interpret the post-hoc tests.Step 5: Write Section 5 of the DAADiscuss the conclusions of the one-way ANOVA as it relates to the research question.Conclude with an analysis of the strengths and limitations of one-way ANOVA
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