Unformatted Attachment Preview
Assignment: Solve Radical Equations with Extraneous Solutions
Choose any four (4) of the five radical equations below. Solve each equation, showing all steps
leading to your answer. Then check your answer to determine if any of the solutions are
extraneous.
1.
x
1 5
2.
5x
x
3.
2x
1 1
4.
3x
2
5.
2 4
2x
x
0
x
3
4x
2
x
© K12 Inc.
Purchase answer to see full attachment
Purchase answer to see full attachment
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
Review
Review
Anonymous
Just the thing I needed, saved me a lot of time.
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
Walden University Categorical Data Analysis Discussion
To prepare for this Discussion: Review Chapters 10 and 11 of the Frankfort-Nachmias & Leon-Guerrero course te ...
Walden University Categorical Data Analysis Discussion
To prepare for this Discussion: Review Chapters 10 and 11 of the Frankfort-Nachmias & Leon-Guerrero course text and the media program found in this week’s Learning Resources related to bivariate categorical tests. Create a research question using the General Social Survey dataset that can be answered using categorical analysis. By Day 3 Use SPSS to answer the research question. Post your response to the following: Include the General Social Survey Dataset’s mean of Age to verify the dataset you used. What is your research question? What is the null hypothesis for your question? What research design would align with this question? What dependent variable was used and how is it measured? What independent variable is used and how is it measured? If you found significance, what is the strength of the effect? Explain your results for a lay audience and further explain what the answer is to your research question. Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style. Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications. Chapter 9, “Bivariate Tables” (pp. 281-325) Chapter 10, “The Chi-Square Test and Measures of Association” (pp. 327-373)
RSCH 8210 Walden University Testing for Multiple Regression Worksheet
Assignment: Testing for Multiple Regression You had the chance earlier in the course to practice with multiple regression ...
RSCH 8210 Walden University Testing for Multiple Regression Worksheet
Assignment: Testing for Multiple Regression You had the chance earlier in the course to practice with multiple regression and obtain peer feedback. Now, it is time once again to put all of that good practice to use and answer a social research question with multiple regression. As you begin the Assignment, be sure and pay close attention to the assumptions of the test. Specifically, make sure the variables are metric level variables. Part 1 To prepare for this Part 1 of your Assignment: Review this week 9 and 10 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. Part 2 To prepare for this Part 2 of your Assignment: Review Warner’s Chapter 12 and Chapter 2 of the Wagner course text and the media program found in this week’s Learning Resources and consider the use of dummy variables. Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in this week’s Learning Resources. Consider the following: Create a research question with metric variables and one variable that requires dummy coding. Estimate the model and report results. Note: You are expected to perform regression diagnostics and report that as well. Once you perform your analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document. For this Part 2 Assignment: Write a 2- to 3-page analysis of your multiple regression using dummy variables 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.
discuss whether or not you believe the data indicates an actual or significant reduction in incursions?
19th-century British Prime Minister Benjamin Disraeli is credited with saying "There are three kinds of lies: lies, damned ...
discuss whether or not you believe the data indicates an actual or significant reduction in incursions?
19th-century British Prime Minister Benjamin Disraeli is credited with saying "There are three kinds of lies: lies, damned lies, and statistics." One problem is that data can be misleading if not presented in a clear and sound manner. How many times have you heard that you should stop eating something or start eating something to better your health? Ever wonder what data supports these claims? Wouldn't it be nice to be able to understand if something has significant enough impact to consider including in your life? This module provides you some of the tools needed to better understand data and what they really mean. Let's take a look at a real life, aviation example. The FAA has claimed that runway incursions, an incident when an aircraft or vehicle is on a runway when it is not supposed to be, have been decreasing over the past few years. During this period, the FAA has spent millions of dollars on different systems designed to help reduce these incursions, which the administration claims have been successful in mitigating. Read the FAA Runway Safety Report (Links to an external site.)Links to an external site., with particular attention to page 24. Using what you have learned in the readings, discuss whether or not you believe the data indicates an actual or significant reduction in incursions. What would you recommend to augment the FAA report from a data analysis standpoint? Why do you believe this addition is relevant? https://www.faa.gov/airports/runway_safety/publications/media/Runway-Safety-Report-2013-14.pdf
ISDS 7302 Louisiana State University Mod 5 Factors Affecting Graduation Rate Logistic Regression Model
Module 5 AssignmentIn this assignment you will build a logistic regression model to explain and to predict. First, you bui ...
ISDS 7302 Louisiana State University Mod 5 Factors Affecting Graduation Rate Logistic Regression Model
Module 5 AssignmentIn this assignment you will build a logistic regression model to explain and to predict. First, you build a model to assess if on-campus living increases the odds for of gradation within 5 years. Then you use the model to predict whether a student graduates. For background information read the article attached page 1-8. Pages 14-23 may help you to understand prediction analysis. When creating your report, you should:Explaining:Review the dependent variable GRAD-BUS5.Using all data run a model in JMP with GRAD-BUS5 as the outcome variable (Y) and OnCampus as independent variable (X). Interpret result with respect to the factor OnCampus. Evaluate each of the predictors to assess outliers, missing values, data type and necessary binning. Bin predictors as necessary. Using all data build a model that includes OnCampus and any other predictor that should be in the model.Interpret result with respect to the factor OnCampus again. Prediction:
To build a prediction model first create a validation column using a random split 70% training and 30% validation. Build a model to predict graduation using the training set.Obtain all the metrics for the validation set: Error, confusion matrix, ROC and Lift curve. Use the spreadsheet provided in the assignment to provide the confusion matrix for the validation set in the appendix. You can cut and past the information from JMP and then copy the confusion matrix into the appendix of the report.Report and interpret sensitivity, specificity, false positive and false negative rate, overall error rate.Add the ROC and Lift curve in the appendix and interpret them in your report.In your conclusion explain if OnCampus living improving 5-Year graduation rates. Provide strengths and weaknesses of the model for prediction.
Prepare the report using the following formatting guidelines:1 page, single-spaced report using 0.5 margins and two-column and portrait format (column width between 3.5'-3.6)1 page for the appendixInclude title of report, then FirstName, LastName, ISDS course #, Assignment #, date (00/00/00) in the header as in the sample assignment. 10 pt Font Calibri or Times New RomanJustified as sample reportCreate headings for each sectionList any references used (e.g. Module 1 Resources)Include a title for your report e.g. "Text Analysis of ...." and create headings for each sectionInclude supporting relevant figures from the analysis in your AppendixSubmit as pdf only with filename first name initial last name and assignment number (for instance HSchneider#1)
Be sure to review the Assignment Rubric and Assignment 5 Example attached below
Similar Content
Mathematics Question
Write the numbers in decreasing order.1.3 (line above 3), -8/5 (fraction), square root of 13, pi, -0.7http://image.prntscr...
I have 2 statistic homework questions that require the use of Excel. Please look at the document
4. A new drug for treating insomnia has resulted in a 50% success rate nationwide. From a random sample of 100 patients us...
real estate math with percentages and closing cost, assignment help
. A
property was listed for $96,000 with ABC Real Estate Company. The seller agreed
to pay ABC a flat fee of $5,500 at c...
Please comment this.
Please comment this.
It is importance to have cultural intelligence as countries have become more diverse as the populatio...
Module 11 Homework 1 - Two-Way Tables (8 of 18)
Progress Check
Use this activity to assess whether you and your peers can:
Use a two-way table to examine the relati...
Answer this, by the time limit..Very simple :) bid $1 ONLY
Thank you !...
Related Tags
Book Guides
The Hunger Games
by Suzanne Collins
Girl in Translation
by Jean Kwok
The Eyes Were Watching God
by Zora Neale Hurston
Ethan Frome
by Edith Wharton
The Knife of Never Letting Go
by Patrick Ness
Shattered - Inside Hillary Clintons Doomed Campaign
by Amie Parnes and Jonathan Allen
To the Lighthouse
by Virginia Woolf
The Iliad
by Homer
The Magic Mountain
by Thomas Mann
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
Walden University Categorical Data Analysis Discussion
To prepare for this Discussion: Review Chapters 10 and 11 of the Frankfort-Nachmias & Leon-Guerrero course te ...
Walden University Categorical Data Analysis Discussion
To prepare for this Discussion: Review Chapters 10 and 11 of the Frankfort-Nachmias & Leon-Guerrero course text and the media program found in this week’s Learning Resources related to bivariate categorical tests. Create a research question using the General Social Survey dataset that can be answered using categorical analysis. By Day 3 Use SPSS to answer the research question. Post your response to the following: Include the General Social Survey Dataset’s mean of Age to verify the dataset you used. What is your research question? What is the null hypothesis for your question? What research design would align with this question? What dependent variable was used and how is it measured? What independent variable is used and how is it measured? If you found significance, what is the strength of the effect? Explain your results for a lay audience and further explain what the answer is to your research question. Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style. Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications. Chapter 9, “Bivariate Tables” (pp. 281-325) Chapter 10, “The Chi-Square Test and Measures of Association” (pp. 327-373)
RSCH 8210 Walden University Testing for Multiple Regression Worksheet
Assignment: Testing for Multiple Regression You had the chance earlier in the course to practice with multiple regression ...
RSCH 8210 Walden University Testing for Multiple Regression Worksheet
Assignment: Testing for Multiple Regression You had the chance earlier in the course to practice with multiple regression and obtain peer feedback. Now, it is time once again to put all of that good practice to use and answer a social research question with multiple regression. As you begin the Assignment, be sure and pay close attention to the assumptions of the test. Specifically, make sure the variables are metric level variables. Part 1 To prepare for this Part 1 of your Assignment: Review this week 9 and 10 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. Part 2 To prepare for this Part 2 of your Assignment: Review Warner’s Chapter 12 and Chapter 2 of the Wagner course text and the media program found in this week’s Learning Resources and consider the use of dummy variables. Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in this week’s Learning Resources. Consider the following: Create a research question with metric variables and one variable that requires dummy coding. Estimate the model and report results. Note: You are expected to perform regression diagnostics and report that as well. Once you perform your analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document. For this Part 2 Assignment: Write a 2- to 3-page analysis of your multiple regression using dummy variables 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.
discuss whether or not you believe the data indicates an actual or significant reduction in incursions?
19th-century British Prime Minister Benjamin Disraeli is credited with saying "There are three kinds of lies: lies, damned ...
discuss whether or not you believe the data indicates an actual or significant reduction in incursions?
19th-century British Prime Minister Benjamin Disraeli is credited with saying "There are three kinds of lies: lies, damned lies, and statistics." One problem is that data can be misleading if not presented in a clear and sound manner. How many times have you heard that you should stop eating something or start eating something to better your health? Ever wonder what data supports these claims? Wouldn't it be nice to be able to understand if something has significant enough impact to consider including in your life? This module provides you some of the tools needed to better understand data and what they really mean. Let's take a look at a real life, aviation example. The FAA has claimed that runway incursions, an incident when an aircraft or vehicle is on a runway when it is not supposed to be, have been decreasing over the past few years. During this period, the FAA has spent millions of dollars on different systems designed to help reduce these incursions, which the administration claims have been successful in mitigating. Read the FAA Runway Safety Report (Links to an external site.)Links to an external site., with particular attention to page 24. Using what you have learned in the readings, discuss whether or not you believe the data indicates an actual or significant reduction in incursions. What would you recommend to augment the FAA report from a data analysis standpoint? Why do you believe this addition is relevant? https://www.faa.gov/airports/runway_safety/publications/media/Runway-Safety-Report-2013-14.pdf
ISDS 7302 Louisiana State University Mod 5 Factors Affecting Graduation Rate Logistic Regression Model
Module 5 AssignmentIn this assignment you will build a logistic regression model to explain and to predict. First, you bui ...
ISDS 7302 Louisiana State University Mod 5 Factors Affecting Graduation Rate Logistic Regression Model
Module 5 AssignmentIn this assignment you will build a logistic regression model to explain and to predict. First, you build a model to assess if on-campus living increases the odds for of gradation within 5 years. Then you use the model to predict whether a student graduates. For background information read the article attached page 1-8. Pages 14-23 may help you to understand prediction analysis. When creating your report, you should:Explaining:Review the dependent variable GRAD-BUS5.Using all data run a model in JMP with GRAD-BUS5 as the outcome variable (Y) and OnCampus as independent variable (X). Interpret result with respect to the factor OnCampus. Evaluate each of the predictors to assess outliers, missing values, data type and necessary binning. Bin predictors as necessary. Using all data build a model that includes OnCampus and any other predictor that should be in the model.Interpret result with respect to the factor OnCampus again. Prediction:
To build a prediction model first create a validation column using a random split 70% training and 30% validation. Build a model to predict graduation using the training set.Obtain all the metrics for the validation set: Error, confusion matrix, ROC and Lift curve. Use the spreadsheet provided in the assignment to provide the confusion matrix for the validation set in the appendix. You can cut and past the information from JMP and then copy the confusion matrix into the appendix of the report.Report and interpret sensitivity, specificity, false positive and false negative rate, overall error rate.Add the ROC and Lift curve in the appendix and interpret them in your report.In your conclusion explain if OnCampus living improving 5-Year graduation rates. Provide strengths and weaknesses of the model for prediction.
Prepare the report using the following formatting guidelines:1 page, single-spaced report using 0.5 margins and two-column and portrait format (column width between 3.5'-3.6)1 page for the appendixInclude title of report, then FirstName, LastName, ISDS course #, Assignment #, date (00/00/00) in the header as in the sample assignment. 10 pt Font Calibri or Times New RomanJustified as sample reportCreate headings for each sectionList any references used (e.g. Module 1 Resources)Include a title for your report e.g. "Text Analysis of ...." and create headings for each sectionInclude supporting relevant figures from the analysis in your AppendixSubmit as pdf only with filename first name initial last name and assignment number (for instance HSchneider#1)
Be sure to review the Assignment Rubric and Assignment 5 Example attached below
Earn money selling
your Study Documents