Description
E Joanna
after watching the video I am still a bit confused, to begin this problem, do we find an LCM for the variables as well?
Determine the LCM of the given polynomials: Leave your answer in factored form.
x^2+4x+4andx^2+5x+6
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
Really great stuff, couldn't ask for more.
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
11 pages
Algebra Project
Be sure to include ALL pages of this project (including the directions and the assignment) when you send the project to yo ...
Algebra Project
Be sure to include ALL pages of this project (including the directions and the assignment) when you send the project to your teacher for grading. ...
For this discussion, complete the following tasks: Write two linear equations with two variables that model something from your daily life. Solve the system of equations in two ways. Discuss which method you liked better and why. In your responses to pee
For this discussion, complete the following tasks:
Write two linear equations with two variables that model something f ...
For this discussion, complete the following tasks: Write two linear equations with two variables that model something from your daily life. Solve the system of equations in two ways. Discuss which method you liked better and why. In your responses to pee
For this discussion, complete the following tasks:
Write two linear equations with two variables that model something from your daily life.
Solve the system of equations in two ways.
Discuss which method you liked better and why.
MTHH040059 University Neighborhood High School Unit 4 Algebra Evaluation
Hello,I need this test completed fully and correctly. I believe a graphing calculator will be needed. This test shouldn't ...
MTHH040059 University Neighborhood High School Unit 4 Algebra Evaluation
Hello,I need this test completed fully and correctly. I believe a graphing calculator will be needed. This test shouldn't be too difficult.Please contact me if you need anything.Thank you,B
Case Study Assignment
We will work with the data for homes for sale in Lafayette and West Lafayette, Indiana. The response
(dependent) variable ...
Case Study Assignment
We will work with the data for homes for sale in Lafayette and West Lafayette, Indiana. The response
(dependent) variable is Price, the asking price of a home. The data set contains the following explanatory
(independent) variables:
SqFt, the number of square feet for the home
Bedrooms, the number of bedrooms
Baths, the number of bathrooms
Garage, the number of cars that can fit in the garage
The data set contains 44 homes for sale in zip code 47904. a few homes have prices that are
somewhat high relative to the others. Similarly, some values for SqFt are relatively high. Exclude
any home with Price greater than $150,000 and any home with SqFt greater than 1800 ft2. After
excluding process, how many houses do you have in the data set? (20 p)
Regress price (dependent variable) on square feet (independent variable) and write the regression
equation. (18 p)
a. What proportion of the variance in Price variable can be explained by the Square Feet
variable?
b. Is this proportion of variance statistically significant at .05 level of significance? Justify
your answer.
c. Does Square feet significantly predict the price of the house? Justify your answer.
Recode the “Bedrooms” categorical variable to be Bed3 = 1 if the home has three or more
bedrooms and Bed3 = 0 if it does not. Bed3 is called as Dummy variable (indicator variable). (36
p)
Run the regression analysis including the variables of price and the dummy variable,
Bed3 and write the regression equation.
What proportion of variance in the price of the house can be explained by the number of
bedrooms of the house? Is this proportion of variance statistically significant at .05 level
of significance? Justify your answer.
Does number of bedrooms significantly predict the price of the house? Justify your
answer.
What is the predicted price for homes with two or fewer bedrooms (Bed3 = 0)? What is
the predicted price for homes with three or more bedrooms (Bed3 =1)There are 3 more questions. Bringing it to a total of 6Follow directions on assignment and display the work.PLEASE READ: I included extra documents labeled "HELP" in the beginning of their title to help guide you through the assignment that the instructor provided. It is similar to assignment and designed to help understand it. It is there for your reference and not necessary to use. The Case Study Data for Assignment #7 excel document and Assignment 7_Case Study_FIn330 pdf file are the only two needed to complete the assignmentThe rest are there for reference and any help.
3 pages
Mat232 Week 2 Discussion Post On Variation
Height is a good example of a case where similar averages can be associated with very different distributions. Normally, c ...
Mat232 Week 2 Discussion Post On Variation
Height is a good example of a case where similar averages can be associated with very different distributions. Normally, compared to women, the ...
GCCCD Module 22 Stat Crunch Directions and T Score Calculations Problems
Learn by DoingMatched Pairs: In this lab you will learn how to conduct a matched pairs T-test for a population mean using ...
GCCCD Module 22 Stat Crunch Directions and T Score Calculations Problems
Learn by DoingMatched Pairs: In this lab you will learn how to conduct a matched pairs T-test for a population mean using StatCrunch. We will work with a data set that has historical importance in the development of the T-test.Some features of this activity may not work well on a cell phone or tablet. We highly recommend that you complete this activity on a computer.Here are the directions, grading rubric, and definition of high-quality feedback for the Learn by Doing discussion board exercises. A list of StatCrunch directions is provided at the bottom of this page.ContextGosset's Seed Plot DataWilliam S. Gosset was employed by the Guinness brewing company of Dublin. Sample sizes available for experimentation in brewing were necessarily small. At that time, Gosset contacted a famous statistician Karl Pearson (1857-1936) and was told that there were no techniques for developing probability models for small data sets. Gosset studied under Pearson, and the outcome of his study was perhaps the most famous paper in statistical literature, "The Probable Error of a Mean" (1908), which introduced the T-distribution.Since Gosset was employed by Guinness, any work he produced would be owned by Guinness, so he published under a pseudonym, "Student"; hence, the T-distribution is often referred to as Student's T-distribution.To illustrate his analysis, Gosset used the results of seeding 11 different plots of land with two different types of seed: regular and kiln-dried. He wanted to determine if drying seeds before planting increased plant yield. Since different plots of soil may be naturally more fertile, this confounding variable was eliminated by using the matched pairs design and planting both types of seed in all 11 plots.The resulting data (corn yield in pounds per acre) are as follows.PlotRegular seedKiln-dried Seed11903200921935191531910201142496246352108218061961192572060212281444148291612154210131614431115111535We use these data to test the hypothesis that kiln-dried seed yields more corn than regular seed.Because of the nature of the experimental design (matched pairs), we are testing the difference in yield.PlotRegular seedKiln-dried SeedDifference119032009–10621935191520319102011–10142496246333521082180–7261961192536720602122–62814441482–38916121542701013161443–1271115111535–24Note that the differences were calculated: regular − kiln-dried.VariablesRegular seed: regular seeds that were traditionally used for plantingkiln-dried: seed that were kiln-dried before plantingDataDownload the seed (Links to an external site.) data file, and then upload the file into StatCrunch. PromptState the hypotheses and define the parameter.Checking conditions: Since Gosset invented the T-distribution, we will assume that his sample meets the conditions and proceed with the T-test. Regardless, answer these questions to demonstrate your understanding of the conditions for use of the T-model.But first you will need to review the dotplots for the data (opens in a new tab).
Which graph is used to check conditions? Why?What do we look for in the graph to verify that conditions are met?What else do we need to know about the sample of seeds before using the T-test?Use StatCrunch to find the T-score and the P-value. Hint: as you work through the StatCrunch directions, keep in mind that we want to calculate the differences as regular − kiln-dried . So you will choose Regular seed for Sample 1 and kiln-dried seed for Sample 2. (directions)Copy and paste the information in the StatCrunch output window into your initial post.State a conclusion based on the context of this scenario.List of StatCrunch DirectionsEach link will open in a new window. To return to this discussion, either close the new tab or select the tab for this discussion. Create Your Stats-Class Folder in Canvas (You only need to do this once.)Purchase StatCrunch (You only need to do this once.)Open StatCrunchDownload Excel Data FileUpload Excel Data File to StatCrunchDownload StatCrunch Output Window (no screenshots; please use these directions)Upload Files into Your Stat-Class Folder in CanvasConduct Matched-Pairs T-testCopy & Paste a StatCrunch TableHere is a PDF document with all StatCrunch directions (Links to an external site.).
Similar Content
Tables and Graphs
Follow the listed steps for this activity:Review APA Manual pp. 128-160Review the following web pages from the APA website...
finding limits of absolute functions
limit of ln (1-abs(x)) as x approaches 1...
Please help us with the answer to this 5th grade math question 1/3+1/5=
Please help us answer the easy question what is 1/3 +1/5=...
MAT 180 Bergen Community College Precalculus Triangular Interpretation Test
...
Discrete Mathematics Quiz, math homework help
Choose this assignment only if you know what you're doing thank you....
A dorm has 86 men and 132 women living in it, statistics homework help
A dorm has 86 men and 132 women living in it. The number of men and women at the college is 753 and 1,063, respectiv...
Concepts
To answer this question, you would need to understand how to calculate the area of a rectangle and the concept...
20200806203828aman Math Ch 3 1 1
How much interest is earned on an investment of $11612.03 paying a rate of 7.97% simple interest over 413 days? How long d...
2019 07 05 185513
...
Related Tags
Book Guides
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
11 pages
Algebra Project
Be sure to include ALL pages of this project (including the directions and the assignment) when you send the project to yo ...
Algebra Project
Be sure to include ALL pages of this project (including the directions and the assignment) when you send the project to your teacher for grading. ...
For this discussion, complete the following tasks: Write two linear equations with two variables that model something from your daily life. Solve the system of equations in two ways. Discuss which method you liked better and why. In your responses to pee
For this discussion, complete the following tasks:
Write two linear equations with two variables that model something f ...
For this discussion, complete the following tasks: Write two linear equations with two variables that model something from your daily life. Solve the system of equations in two ways. Discuss which method you liked better and why. In your responses to pee
For this discussion, complete the following tasks:
Write two linear equations with two variables that model something from your daily life.
Solve the system of equations in two ways.
Discuss which method you liked better and why.
MTHH040059 University Neighborhood High School Unit 4 Algebra Evaluation
Hello,I need this test completed fully and correctly. I believe a graphing calculator will be needed. This test shouldn't ...
MTHH040059 University Neighborhood High School Unit 4 Algebra Evaluation
Hello,I need this test completed fully and correctly. I believe a graphing calculator will be needed. This test shouldn't be too difficult.Please contact me if you need anything.Thank you,B
Case Study Assignment
We will work with the data for homes for sale in Lafayette and West Lafayette, Indiana. The response
(dependent) variable ...
Case Study Assignment
We will work with the data for homes for sale in Lafayette and West Lafayette, Indiana. The response
(dependent) variable is Price, the asking price of a home. The data set contains the following explanatory
(independent) variables:
SqFt, the number of square feet for the home
Bedrooms, the number of bedrooms
Baths, the number of bathrooms
Garage, the number of cars that can fit in the garage
The data set contains 44 homes for sale in zip code 47904. a few homes have prices that are
somewhat high relative to the others. Similarly, some values for SqFt are relatively high. Exclude
any home with Price greater than $150,000 and any home with SqFt greater than 1800 ft2. After
excluding process, how many houses do you have in the data set? (20 p)
Regress price (dependent variable) on square feet (independent variable) and write the regression
equation. (18 p)
a. What proportion of the variance in Price variable can be explained by the Square Feet
variable?
b. Is this proportion of variance statistically significant at .05 level of significance? Justify
your answer.
c. Does Square feet significantly predict the price of the house? Justify your answer.
Recode the “Bedrooms” categorical variable to be Bed3 = 1 if the home has three or more
bedrooms and Bed3 = 0 if it does not. Bed3 is called as Dummy variable (indicator variable). (36
p)
Run the regression analysis including the variables of price and the dummy variable,
Bed3 and write the regression equation.
What proportion of variance in the price of the house can be explained by the number of
bedrooms of the house? Is this proportion of variance statistically significant at .05 level
of significance? Justify your answer.
Does number of bedrooms significantly predict the price of the house? Justify your
answer.
What is the predicted price for homes with two or fewer bedrooms (Bed3 = 0)? What is
the predicted price for homes with three or more bedrooms (Bed3 =1)There are 3 more questions. Bringing it to a total of 6Follow directions on assignment and display the work.PLEASE READ: I included extra documents labeled "HELP" in the beginning of their title to help guide you through the assignment that the instructor provided. It is similar to assignment and designed to help understand it. It is there for your reference and not necessary to use. The Case Study Data for Assignment #7 excel document and Assignment 7_Case Study_FIn330 pdf file are the only two needed to complete the assignmentThe rest are there for reference and any help.
3 pages
Mat232 Week 2 Discussion Post On Variation
Height is a good example of a case where similar averages can be associated with very different distributions. Normally, c ...
Mat232 Week 2 Discussion Post On Variation
Height is a good example of a case where similar averages can be associated with very different distributions. Normally, compared to women, the ...
GCCCD Module 22 Stat Crunch Directions and T Score Calculations Problems
Learn by DoingMatched Pairs: In this lab you will learn how to conduct a matched pairs T-test for a population mean using ...
GCCCD Module 22 Stat Crunch Directions and T Score Calculations Problems
Learn by DoingMatched Pairs: In this lab you will learn how to conduct a matched pairs T-test for a population mean using StatCrunch. We will work with a data set that has historical importance in the development of the T-test.Some features of this activity may not work well on a cell phone or tablet. We highly recommend that you complete this activity on a computer.Here are the directions, grading rubric, and definition of high-quality feedback for the Learn by Doing discussion board exercises. A list of StatCrunch directions is provided at the bottom of this page.ContextGosset's Seed Plot DataWilliam S. Gosset was employed by the Guinness brewing company of Dublin. Sample sizes available for experimentation in brewing were necessarily small. At that time, Gosset contacted a famous statistician Karl Pearson (1857-1936) and was told that there were no techniques for developing probability models for small data sets. Gosset studied under Pearson, and the outcome of his study was perhaps the most famous paper in statistical literature, "The Probable Error of a Mean" (1908), which introduced the T-distribution.Since Gosset was employed by Guinness, any work he produced would be owned by Guinness, so he published under a pseudonym, "Student"; hence, the T-distribution is often referred to as Student's T-distribution.To illustrate his analysis, Gosset used the results of seeding 11 different plots of land with two different types of seed: regular and kiln-dried. He wanted to determine if drying seeds before planting increased plant yield. Since different plots of soil may be naturally more fertile, this confounding variable was eliminated by using the matched pairs design and planting both types of seed in all 11 plots.The resulting data (corn yield in pounds per acre) are as follows.PlotRegular seedKiln-dried Seed11903200921935191531910201142496246352108218061961192572060212281444148291612154210131614431115111535We use these data to test the hypothesis that kiln-dried seed yields more corn than regular seed.Because of the nature of the experimental design (matched pairs), we are testing the difference in yield.PlotRegular seedKiln-dried SeedDifference119032009–10621935191520319102011–10142496246333521082180–7261961192536720602122–62814441482–38916121542701013161443–1271115111535–24Note that the differences were calculated: regular − kiln-dried.VariablesRegular seed: regular seeds that were traditionally used for plantingkiln-dried: seed that were kiln-dried before plantingDataDownload the seed (Links to an external site.) data file, and then upload the file into StatCrunch. PromptState the hypotheses and define the parameter.Checking conditions: Since Gosset invented the T-distribution, we will assume that his sample meets the conditions and proceed with the T-test. Regardless, answer these questions to demonstrate your understanding of the conditions for use of the T-model.But first you will need to review the dotplots for the data (opens in a new tab).
Which graph is used to check conditions? Why?What do we look for in the graph to verify that conditions are met?What else do we need to know about the sample of seeds before using the T-test?Use StatCrunch to find the T-score and the P-value. Hint: as you work through the StatCrunch directions, keep in mind that we want to calculate the differences as regular − kiln-dried . So you will choose Regular seed for Sample 1 and kiln-dried seed for Sample 2. (directions)Copy and paste the information in the StatCrunch output window into your initial post.State a conclusion based on the context of this scenario.List of StatCrunch DirectionsEach link will open in a new window. To return to this discussion, either close the new tab or select the tab for this discussion. Create Your Stats-Class Folder in Canvas (You only need to do this once.)Purchase StatCrunch (You only need to do this once.)Open StatCrunchDownload Excel Data FileUpload Excel Data File to StatCrunchDownload StatCrunch Output Window (no screenshots; please use these directions)Upload Files into Your Stat-Class Folder in CanvasConduct Matched-Pairs T-testCopy & Paste a StatCrunch TableHere is a PDF document with all StatCrunch directions (Links to an external site.).
Earn money selling
your Study Documents