Description
Divide.
(9x^3 - 30x^2 + 12x + 32) / (3x - 6)
What is the quotient?
What is the remainder?
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
Explanation & Answer
Thank you for the opportunity to help you with your question!
(9x^3 - 30x^2 + 12x + 32) / (3x - 6) = (3x^2-4x-4)(3x-6)+8
quotient is 3x^2-4x-4
remainder is 8Please let me know if you need any clarification. I'm always happy to answer your questions.
Completion Status:
100%
Review
Review
Anonymous
Just what I needed…Fantastic!
Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4
24/7 Homework Help
Stuck on a homework question? Our verified tutors can answer all questions, from basic math to advanced rocket science!
Most Popular Content
Explore ANCOVA and Factorial ANOVA
one Word document for this assignment. You will create this Word document by cutting and pasting SPSS output into Word. Na ...
Explore ANCOVA and Factorial ANOVA
one Word document for this assignment. You will create this Word document by cutting and pasting SPSS output into Word. Name the file in the following format: lastnamefirstinitialPSY7107-9.doc (example: smithbPSY7107-9.doc).Begin by downloading the following SPSS data setActivity 9.sav (found in Books and Resources for this Week)This week’s assignment consists of two parts. In the first part, you will utilize an existing dataset to compute a factorial ANOVA. All SPSS output should be pasted into your Word document. In the second part, you will be asked to create a hypothetical ANCOVA output table (for variables related to your area of interest). Part A. SPSS AssignmentThe “Activity 9.sav” file contains a dataset of a researcher interested in finding the best way to educate elementary age children in mathematics. In particular, she thinks that 5th grade girls do better in small class sizes while boys excel in larger classes. Through the school district, she has arranged a pilot program in which some classroom sizes are reduced prior to the state-wide mathematics competency assessment. In the dataset, you will find the following variables:Participant: unique identifierGender: Male (M) or Female (F)Classroom: Small (1) – no more than 10 childrenMedium (2) – between 11 and 19 childrenLarge (3) – 20 or more studentsScore – final score on the statewide competency assessment.Now do the following:Exploratory Data Analysis.Perform exploratory data analysis on all variables in the data set. Realizing that you have six groups, be sure that your exploratory analysis is broken down by group. When possible, include appropriate graphs to help illustrate the dataset.Give a one to two paragraph write up of the data once you have done this.Create an APA style table that presents descriptive statistics for the sample.Factorial ANOVA. Perform a factorial ANOVA using the “Activity 9.sav” data set.Is there a main effect of gender? If so, explain the effect. Use post hoc tests when necessary (or explain why they are not required in this specific case).Is there a main effect of classroom size? If so, explain the effect. Use post hoc tests when necessary (or explain why they are not required in this specific case).Is there an interaction between your two variables? If so, using post hoc tests, describe these differences.Is there support for the researcher’s hypothesis that girls would do better than boys in classrooms with fewer students? Explain your answer.Write up the results in APA style and interpret them. Be sure that you discuss both main effects and the presence/absence of an interaction between the two.Part B. Applying Analytical Strategies to an Area of Research InterestBriefly restate your research area of interest.Analysis of Covariance. Using your area of interest, identify one independent and two dependent variables, such that the dependent variables would likely be covariates. Now, assume you conducted an ANCOVA that shows both the first independent variable as well as the covariate significantly predicts the dependent variable. Create a mock ANCOVA output table (see SPSS Output 12.6 in your text for an example) that supports the relationship shown above. Report your mock finding APA style.You should now have the following file:lastnamefirstinitialPSY7107-9.doc (example: smithbPSY7107-9.doc)
24 pages
Homework Assignment 3 4
I want the completed assignment handed in electronically through myCourses as a PDF document. You can upload the completed ...
Homework Assignment 3 4
I want the completed assignment handed in electronically through myCourses as a PDF document. You can upload the completed assignment through the
GMU Impacts the Work of the Quality Improvement Professional Discussion
For the Importance of Outcome Measurements Activity, write a paper including the following:Explanation of the Donabedian m ...
GMU Impacts the Work of the Quality Improvement Professional Discussion
For the Importance of Outcome Measurements Activity, write a paper including the following:Explanation of the Donabedian model of performance improvement in health care and how the model impacts the work of the quality improvement professionalExplanation of the difference between structure, process, and outcome measures and examples of these types of measures from your experience, including how you use these variables to improve your workplaceExamples of clinical outcome measures, why these measures are important for improving clinical care and the important features of effective outcome measuresYour response should be 3-5 pages using 12-point times new roman font, double-space, with 1-inch margins submitted as a word document above.
Purdue Global University Unit 5 Statistical Reasoning Questions
In Unit 5, there are three main topics (problem types): describing correlations, measuring correlations (with the r value) ...
Purdue Global University Unit 5 Statistical Reasoning Questions
In Unit 5, there are three main topics (problem types): describing correlations, measuring correlations (with the r value), and creating and evaluating scatterplots. You will be exposed to all three topics, and will have the opportunity to discuss and compare these topics with your fellow learners.Using any Excel dataset, choose two quantitative variables from the dataset. For example, you might choose “age” and “weight.” Next, do the following:What is the name of the dataset you have chosen? What are the names of the two quantitative variables you are investigating?Using Excel, calculate the relationship (correlation) between these two variables. Write down your calculated r value.Given the r value you calculated in number 1 above, explain what the r value tells you about the relationship between the two variables. For example, is the relationship positive or negative? Is the relationship strong, medium, or weak?Using the two variables you have chosen, create and attach to your post a scatterplot. Does the scatterplot have a linear appearance? What does the scatterplot tell you about the relationship between your two variables?Please create personalized and substantive responses to at least two other student main posts. In your response, include the following:Choose any two classmates and review their main posts.Find the dataset that each student used, and repeat their r value calculation in Excel for the variables they chose. Are they correct? Do you agree with how they described the relationship between the two variables? Explain in one paragraph and include both your results and the student results.For the same two classmates, also review their scatterplots. Discuss the “shape” of the scatterplot - is it mostly linear or is it all scattered around? Does the scatterplot seem to have a positive (upwards from left to right) or negative slope? Does their scatterplot visually match what the r value is suggesting? What can you say about the relationship based on the scatterplot?Discussion RequirementsReading and ResourcesRead the assigned chapters from the following textbooks:Bennett, J., Briggs, W.L. & Triola, M.F. (2013) Statistical Reasoning for Everyday Life (4th ed.). Upper Saddle, NJ: Pearson.Chapter 7: “Correlation and Causality”Reading the textbook and reviewing the textbook examples are excellent methods for starting each unit. Reading the textbook offers context and explanations for new concepts and methods. Completing the textbook examples on paper (and with Excel) is a great way to practice and learn the new methods and concepts introduced. Student feedback has suggested that reading the textbook and practicing the textbook examples has been particularly helpful if completed before the unit Seminar. Some students have reported that keeping a notebook handy, and recording new definitions or concepts encountered while reading is helpful, more organized, and stress reducing.This chapter includes a section that offers examples using technologies such as Excel. In addition, at the end of each chapter section, or at the end of the chapter, are review exercises that are very helpful for practicing and preparing.In this course, students may use Excel for any statistical calculations. Excel can be used to evaluate data in many ways. Excel can be used to calculate numerical measures, such as measures of center (such as mean and median) and measures of variation (variance, standard deviation, and range), as well as many other measures such as min, max, and correlation (r-value). Excel can also be used to create visualizations, such as histograms, bar graphs, pie graphs, scatterplots, and others. Excel may also be used to create linear regression equations. Because Excel is a very common tool, the Internet and YouTube both contain considerable support resources and tutorials. TEXTBOOKSBennett, J., Briggs, W., Triola, M. (2014) Statistical Reasoning: For Everyday Life.(4th ed)
PUB 550 GCU Pearson correlation Coefficient & and A Chi Square Test of Independence Analysis
The purpose of this assignment is to practice calculating and interpreting the Pearson correlation coefficient and a chi-s ...
PUB 550 GCU Pearson correlation Coefficient & and A Chi Square Test of Independence Analysis
The purpose of this assignment is to practice calculating and interpreting the Pearson correlation coefficient and a chi-square test of independence.For this assignment, complete Problems 13.132 and 15.88 in the textbook (attached). Include your process for conducting the calculations. You can complete the calculations by hand or using Excel or SPSS. If you use Excel or SPSS, copy and paste your output results into a Word document.When addressing each textbook problem, provide a response for each of the six steps of hypothesis testing listed below.
Pick a test.
Check the assumptions.
List the hypotheses.
Set the decision rule.
Calculate the test statistic.
Interpret the results. (What was done? What was found? What does it mean? What suggestions exist for future research?)
Submit a Word document with your problem answers to each of the six steps. If Excel or SPSS was used to complete the assignment, submit the second Word document containing the screenshots to the instructor.This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
Testing for Multiple Regression, statistics homework help
To prepare for this Part 1 of your Assignment:Review this week’s Learning Resources and media program related to multipl ...
Testing for Multiple Regression, statistics homework help
To prepare for this Part 1 of your Assignment:Review this week’s Learning Resources and media program related to multiple regression.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in the Learning Resources for this week.Based on the dataset you chose, construct a research question that can be answered with a multiple regression analysis.Once you perform your multiple regression analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.For this Part 1 Assignment:Write a 1- to 2-page analysis of your multiple regression results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.Use proper APA format, citations, and referencing for your analysis, research question, and display of output.
Similar Content
Profit sharing calculation
I am selling grain at $200 per ton. Also ,I have partnered with another person, splitting the profits. During the selling ...
Trigonometry math question help??
3. Graph y = tan( x) −1. a. Include dashed lines for the
asymptotes. b. The period is _________. c. The ...
Graphing trigonomic functions7
What is the period of the function represented by the following graph? ...
who can help me thanks Maths problem?
An egg salesman was asked how many eggs he had sold that day. He replied, "My first customer said, 'I'll buy half your egg...
math statistics
Log in and and do math set..Complete the Module Three problem set in MyStatLab. See Instructor Tips in MyStatLab for video...
What is the equation that represents the relationship of two parallel lines?
The lines are written in y = mx+b form. A hint is to use m1 and m2....
Related Tags
Book Guides
All Quiet on the Western Front
by Erich Maria Remarque
Calypso
by David Sedaris
Fahrenheit 451
by Ray Bradbury
The Adventures of Huckleberry Finn
by Mark Twain
Jane Eyre
by Charlotte Brontë
Siddhartha
by Hermann Hesse
The English Patient
by Michael Ondaatje
Murder on the Orient Express
by Agatha Christie
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
Explore ANCOVA and Factorial ANOVA
one Word document for this assignment. You will create this Word document by cutting and pasting SPSS output into Word. Na ...
Explore ANCOVA and Factorial ANOVA
one Word document for this assignment. You will create this Word document by cutting and pasting SPSS output into Word. Name the file in the following format: lastnamefirstinitialPSY7107-9.doc (example: smithbPSY7107-9.doc).Begin by downloading the following SPSS data setActivity 9.sav (found in Books and Resources for this Week)This week’s assignment consists of two parts. In the first part, you will utilize an existing dataset to compute a factorial ANOVA. All SPSS output should be pasted into your Word document. In the second part, you will be asked to create a hypothetical ANCOVA output table (for variables related to your area of interest). Part A. SPSS AssignmentThe “Activity 9.sav” file contains a dataset of a researcher interested in finding the best way to educate elementary age children in mathematics. In particular, she thinks that 5th grade girls do better in small class sizes while boys excel in larger classes. Through the school district, she has arranged a pilot program in which some classroom sizes are reduced prior to the state-wide mathematics competency assessment. In the dataset, you will find the following variables:Participant: unique identifierGender: Male (M) or Female (F)Classroom: Small (1) – no more than 10 childrenMedium (2) – between 11 and 19 childrenLarge (3) – 20 or more studentsScore – final score on the statewide competency assessment.Now do the following:Exploratory Data Analysis.Perform exploratory data analysis on all variables in the data set. Realizing that you have six groups, be sure that your exploratory analysis is broken down by group. When possible, include appropriate graphs to help illustrate the dataset.Give a one to two paragraph write up of the data once you have done this.Create an APA style table that presents descriptive statistics for the sample.Factorial ANOVA. Perform a factorial ANOVA using the “Activity 9.sav” data set.Is there a main effect of gender? If so, explain the effect. Use post hoc tests when necessary (or explain why they are not required in this specific case).Is there a main effect of classroom size? If so, explain the effect. Use post hoc tests when necessary (or explain why they are not required in this specific case).Is there an interaction between your two variables? If so, using post hoc tests, describe these differences.Is there support for the researcher’s hypothesis that girls would do better than boys in classrooms with fewer students? Explain your answer.Write up the results in APA style and interpret them. Be sure that you discuss both main effects and the presence/absence of an interaction between the two.Part B. Applying Analytical Strategies to an Area of Research InterestBriefly restate your research area of interest.Analysis of Covariance. Using your area of interest, identify one independent and two dependent variables, such that the dependent variables would likely be covariates. Now, assume you conducted an ANCOVA that shows both the first independent variable as well as the covariate significantly predicts the dependent variable. Create a mock ANCOVA output table (see SPSS Output 12.6 in your text for an example) that supports the relationship shown above. Report your mock finding APA style.You should now have the following file:lastnamefirstinitialPSY7107-9.doc (example: smithbPSY7107-9.doc)
24 pages
Homework Assignment 3 4
I want the completed assignment handed in electronically through myCourses as a PDF document. You can upload the completed ...
Homework Assignment 3 4
I want the completed assignment handed in electronically through myCourses as a PDF document. You can upload the completed assignment through the
GMU Impacts the Work of the Quality Improvement Professional Discussion
For the Importance of Outcome Measurements Activity, write a paper including the following:Explanation of the Donabedian m ...
GMU Impacts the Work of the Quality Improvement Professional Discussion
For the Importance of Outcome Measurements Activity, write a paper including the following:Explanation of the Donabedian model of performance improvement in health care and how the model impacts the work of the quality improvement professionalExplanation of the difference between structure, process, and outcome measures and examples of these types of measures from your experience, including how you use these variables to improve your workplaceExamples of clinical outcome measures, why these measures are important for improving clinical care and the important features of effective outcome measuresYour response should be 3-5 pages using 12-point times new roman font, double-space, with 1-inch margins submitted as a word document above.
Purdue Global University Unit 5 Statistical Reasoning Questions
In Unit 5, there are three main topics (problem types): describing correlations, measuring correlations (with the r value) ...
Purdue Global University Unit 5 Statistical Reasoning Questions
In Unit 5, there are three main topics (problem types): describing correlations, measuring correlations (with the r value), and creating and evaluating scatterplots. You will be exposed to all three topics, and will have the opportunity to discuss and compare these topics with your fellow learners.Using any Excel dataset, choose two quantitative variables from the dataset. For example, you might choose “age” and “weight.” Next, do the following:What is the name of the dataset you have chosen? What are the names of the two quantitative variables you are investigating?Using Excel, calculate the relationship (correlation) between these two variables. Write down your calculated r value.Given the r value you calculated in number 1 above, explain what the r value tells you about the relationship between the two variables. For example, is the relationship positive or negative? Is the relationship strong, medium, or weak?Using the two variables you have chosen, create and attach to your post a scatterplot. Does the scatterplot have a linear appearance? What does the scatterplot tell you about the relationship between your two variables?Please create personalized and substantive responses to at least two other student main posts. In your response, include the following:Choose any two classmates and review their main posts.Find the dataset that each student used, and repeat their r value calculation in Excel for the variables they chose. Are they correct? Do you agree with how they described the relationship between the two variables? Explain in one paragraph and include both your results and the student results.For the same two classmates, also review their scatterplots. Discuss the “shape” of the scatterplot - is it mostly linear or is it all scattered around? Does the scatterplot seem to have a positive (upwards from left to right) or negative slope? Does their scatterplot visually match what the r value is suggesting? What can you say about the relationship based on the scatterplot?Discussion RequirementsReading and ResourcesRead the assigned chapters from the following textbooks:Bennett, J., Briggs, W.L. & Triola, M.F. (2013) Statistical Reasoning for Everyday Life (4th ed.). Upper Saddle, NJ: Pearson.Chapter 7: “Correlation and Causality”Reading the textbook and reviewing the textbook examples are excellent methods for starting each unit. Reading the textbook offers context and explanations for new concepts and methods. Completing the textbook examples on paper (and with Excel) is a great way to practice and learn the new methods and concepts introduced. Student feedback has suggested that reading the textbook and practicing the textbook examples has been particularly helpful if completed before the unit Seminar. Some students have reported that keeping a notebook handy, and recording new definitions or concepts encountered while reading is helpful, more organized, and stress reducing.This chapter includes a section that offers examples using technologies such as Excel. In addition, at the end of each chapter section, or at the end of the chapter, are review exercises that are very helpful for practicing and preparing.In this course, students may use Excel for any statistical calculations. Excel can be used to evaluate data in many ways. Excel can be used to calculate numerical measures, such as measures of center (such as mean and median) and measures of variation (variance, standard deviation, and range), as well as many other measures such as min, max, and correlation (r-value). Excel can also be used to create visualizations, such as histograms, bar graphs, pie graphs, scatterplots, and others. Excel may also be used to create linear regression equations. Because Excel is a very common tool, the Internet and YouTube both contain considerable support resources and tutorials. TEXTBOOKSBennett, J., Briggs, W., Triola, M. (2014) Statistical Reasoning: For Everyday Life.(4th ed)
PUB 550 GCU Pearson correlation Coefficient & and A Chi Square Test of Independence Analysis
The purpose of this assignment is to practice calculating and interpreting the Pearson correlation coefficient and a chi-s ...
PUB 550 GCU Pearson correlation Coefficient & and A Chi Square Test of Independence Analysis
The purpose of this assignment is to practice calculating and interpreting the Pearson correlation coefficient and a chi-square test of independence.For this assignment, complete Problems 13.132 and 15.88 in the textbook (attached). Include your process for conducting the calculations. You can complete the calculations by hand or using Excel or SPSS. If you use Excel or SPSS, copy and paste your output results into a Word document.When addressing each textbook problem, provide a response for each of the six steps of hypothesis testing listed below.
Pick a test.
Check the assumptions.
List the hypotheses.
Set the decision rule.
Calculate the test statistic.
Interpret the results. (What was done? What was found? What does it mean? What suggestions exist for future research?)
Submit a Word document with your problem answers to each of the six steps. If Excel or SPSS was used to complete the assignment, submit the second Word document containing the screenshots to the instructor.This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
Testing for Multiple Regression, statistics homework help
To prepare for this Part 1 of your Assignment:Review this week’s Learning Resources and media program related to multipl ...
Testing for Multiple Regression, statistics homework help
To prepare for this Part 1 of your Assignment:Review this week’s Learning Resources and media program related to multiple regression.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in the Learning Resources for this week.Based on the dataset you chose, construct a research question that can be answered with a multiple regression analysis.Once you perform your multiple regression analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.For this Part 1 Assignment:Write a 1- to 2-page analysis of your multiple regression results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.Use proper APA format, citations, and referencing for your analysis, research question, and display of output.
Earn money selling
your Study Documents