Description
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
y= 1-(x-2)2
Completion Status:
100%
Review
Review
Anonymous
Super useful! Studypool never disappoints.
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
Statistics Assignment
Hypothesis testing is the foundation of conducting research in psychology. Researchers must first determine the question t ...
Statistics Assignment
Hypothesis testing is the foundation of conducting research in psychology. Researchers must first determine the question they wish to answer and then state their prediction in a null hypothesis and an alternative hypothesis. Once the hypotheses are stated, researchers move on to data collection. However, once the results come in, the real challenge is to determine if they have meaning; that is, are the results statistically significant or just due to random variation? This application will allow you to practice hypothesis testing by using z-scores to compare a single score to a population mean in order to determine if results are statistically significant. Scenario: Lucy wants to know how her fourth-grade daughter, Monica, scored on a test of reading comprehension compared to the population of other fourth graders in the school district. Luckily, Lucy has taken this course and knows that a z-score will help her understand Monica’s reading score in relation to the population. You can find the data for this Assignment below:Data Set: Monica’s reading comprehension score = 61 Mean fourth grade reading comprehension score = 54 Standard deviation of the fourth grade’s reading comprehension = 2.4 Monica’s z-score in math = 1.10 Mean fourth grade math score = 151 Standard deviation of the fourth grade’s math scores = 12.2 To complete this Assignment, submit responses to the following: State the dependent variable. A dependent variable measures the behavior or attitude of a participant and depends on the participant’s reaction to a condition, or the category of the independent variable that creates the situation under which participants are studied (Heiman, 2015). In this scenario, the dependent variable is Monica’s test scores because they depend on her reaction to the independent variable, which in this case are her reading and math tests. PLEASE CHECK MY ANSWER2. Explain whether Lucy should use a one-tailed or a two-tailed z-test and explain why. A one-tailed test is preformed when you want to predict that the dependent scores, in this case Monica’s test score, will only increase or will only decrease (Heiman, 2015). A two-tailed test is used when you do not predict whether dependent scores will increase or decrease Heiman, 2015). Since it is not indicated in this week’s instructions that Lucy did or want to make any predictions about Monica’s tests score and a , I suggest that she use a two-tailed test z-test. PLEASE CHECK MY ANSWER3. State the null hypothesis in words (not formulas).4. State the alternative hypothesis in words (not formulas).5. Calculate the obtained z-score by hand. Describe your calculations (i.e., show your work).To obtain Monica’s z-score for reading, I had to subtract her raw reading comprehension score of 61 by the mean of all fourth grade reading comprehension scores , which is 54. Then I divided the difference of 7 by the standard deviation of the fourth grade’s reading comprehension, 7 divided by 2.4 is 2.92, which brings me to the conclusion that the z-score for Monica’s reading comprehension is positive 2.92 and it fall above the mean by 2.92 standard deviations (Heiman, 2015).Z= (61-54)/2.4Z= 2.92PLEASE CHECK MY ANSWER6. When alpha is set at .05, the critical value is ± 1.96. Should the null hypothesis be retained or rejected? Explain why. When alpha is set at .05 and the critical value is negative or positive 1.96, the null hypothesis should be rejected because.......THIS IS NOT ANSWER, I TRIED TO UNDERSTAND THIS BUT I AM LOST7. Are the results statistically significant? How do you know?8.What should Lucy conclude about Monica’s reading comprehension score in comparison to the population? PLEASE FULLY EXPLAIN ALL CALCULATIONS AND ANSWERS TO QUESTIONS
MAT 240 Southern New Hampshire University Real Estate Company Discussion
CompetenciesIn this project, you will demonstrate your mastery of the following competencies:Apply statistical techniques ...
MAT 240 Southern New Hampshire University Real Estate Company Discussion
CompetenciesIn this project, you will demonstrate your mastery of the following competencies:Apply statistical techniques to address research problemsPerform regression analysis to address an authentic problemOverviewThe purpose of this project is to have you complete all of the steps
of a real-world linear regression research project starting with
developing a research question, then completing a comprehensive
statistical analysis, and ending with summarizing your research
conclusions.ScenarioYou have been hired by the D. M. Pan National Real Estate Company to
develop a model to predict median housing prices for homes sold in 2019.
The CEO of D. M. Pan wants to use this information to help their real
estate agents better determine the use of square footage as a benchmark
for listing prices on homes. Your task is to provide a report predicting
the median housing prices based square footage. To complete this task,
use the provided real estate data set for all U.S. home sales as well as
national descriptive statistics and graphs provided.DirectionsUsing the Project One Template located in the What to Submit section,
generate a report including your tables and graphs to determine if the
square footage of a house is a good indicator for what the listing price
should be. Reference the National Statistics and Graphs document for
national comparisons and the Real Estate County Data spreadsheet (both
found in the Supporting Materials section) for your statistical
analysis.Note: Present your data in a clearly labeled table and using clearly labeled graphs.Specifically, include the following in your report:IntroductionDescribe the report: Give a brief description of the purpose of your report.
Define the question your report is trying to answer.Explain when using linear regression is most appropriate.
When using linear regression, what would you expect the scatterplot to look like?
Explain the difference between response and predictor variables in a linear regression to justify the selection of variables.
Data CollectionSampling the data: Select a random sample of 50 counties.
Identify your response and predictor variables.
Scatterplot: Create a scatterplot of your response and predictor variables to ensure they are appropriate for developing a linear model.Data AnalysisHistogram: For your two variables, create histograms.Summary statistics: For your two variables, create a table to show the mean, median, and standard deviation.Interpret the graphs and statistics:
Based on your graphs and sample statistics, interpret the center,
spread, shape, and any unusual characteristic (outliers, gaps, etc.) for
the two variables.Compare and contrast the shape, center, spread, and any unusual
characteristic for your sample of house sales with the national
population. Is your sample representative of national housing market
sales?
Develop Your Regression ModelScatterplot: Provide a graph of the scatterplot of the data with a line of best fit.
Explain if a regression model is appropriate to develop based on your scatterplot.
Discuss associations: Based on the scatterplot, discuss the association (direction, strength, form) in the context of your model.
Identify any possible outliers or influential points and discuss their effect on the correlation.Discuss keeping or removing outlier data points and what impact your decision would have on your model.
Find r: Find the correlation coefficient (r).
Explain how the r value you calculated supports what you noticed in your scatterplot.
Determine the Line of Best Fit. Clearly define your variables. Find and interpret the regression equation. Assess the strength of the model.Regression equation: Write the regression equation (i.e., line of best fit) and clearly define your variables. Interpret regression equation: Interpret the slope and intercept in context.Strength of the equation: Provide and interpret R-squared.
Determine the strength of the linear regression equation you developed.
Use regression equation to make predictions: Use your regression equation to predict how much you should list your home for based on the square footage of your home.ConclusionsSummarize findings: In one paragraph, summarize
your findings in clear and concise plain language for the CEO to
understand. Summarize your results.
Did you see the results you expected, or was anything different from your expectations or experiences?
What changes could support different results, or help to solve a different problem?Provide at least one question that would be interesting for follow-up research.
What to SubmitTo complete this project, you must submit the following:Project One Template: Use this template to structure your report, and submit the finished version as a Word document.Supporting MaterialsThe following resources may help support your work on the project:Document: National Statistics and GraphsUse this data for input in your project report.Spreadsheet: Real Estate County DataUse this data for input in your project report.Tutorial: Downloading Office 365 ProgramsUse this tutorial for support with Office 365 programs.
The Payment Time Case (NO PLAGIARISM)
Purpose of Assignment The purpose of the assignment is to develop students' abilities in using datasets to apply the conce ...
The Payment Time Case (NO PLAGIARISM)
Purpose of Assignment The purpose of the assignment is to develop students' abilities in using datasets to apply the concepts of sampling distributions and confidence intervals to make management decisions. Assignment Steps Resources: Microsoft Excel®, The Payment Time Case Study, The Payment Time Case Data Set Review the Payment Time Case Study and Data Set. Develop a 700-word report including the following calculations and using the information to determine whether the new billing system has reduced the mean bill payment time:Assuming the standard deviation of the payment times for all payments is 4.2 days, construct a 95% confidence interval estimate to determine whether the new billing system was effective. State the interpretation of 95% confidence interval and state whether or not the billing system was effective.Using the 95% confidence interval, can we be 95% confident that µ ≤ 19.5 days?Using the 99% confidence interval, can we be 99% confident that µ ≤ 19.5 days?If the population mean payment time is 19.5 days, what is the probability of observing a sample mean payment time of 65 invoices less than or equal to 18.1077 days? Format your assignment consistent with APA format. With Three references
MAT 230 Southern New Hampshire University Mod 2 Discrete Mathematics Exercises
Please this assignment requires to show step by step "Be sure to show all steps for arriving at your solution. Just giving ...
MAT 230 Southern New Hampshire University Mod 2 Discrete Mathematics Exercises
Please this assignment requires to show step by step "Be sure to show all steps for arriving at your solution. Just giving a final number may not receive a full grade." attach here is the assignment
Similar Content
finding the minutes
There are two machines that produce aluminum cans. the newer machine can produce 7200 cans in 200 minutes. it takes the ol...
MATH 1190 Saint Marys University Calculus Trigonometric Identities Exercises
the quiz is in the pdf pls follow the instructions.the quiz is in the pdf pls follow the instructions.the quiz is in the p...
chebyshev inequality, statistics homework help
I need help answering these statistics questions!...
Statistics Question
As manager of Finer Diner, you are tasked with gauging the restaurant’s success in providing satisfying customer experie...
Vertical Asymptotes Question
Which of the following functions is shown in the graph below?A. B. C. D. ...
newpaper column or video assignment as alternative
Assignment 2: The Digital Transformation of SocietyDue Week 10 and worth 150 pointsWrite a newspaper column for the Wall S...
Final Value Problem
...
Algebra 1
This property fuses addition, subtraction, and multiplication. When a set of numbers or variables are performed with addit...
Quantitative Methods
For each of the following, determine whether the group is a sample or a population. 1. The participants in a study of a ne...
Related Tags
Book Guides
Orphan Train
by Christina Baker Kline
Too Much and Never Enough
by Mary L. Trump
As I Lay Dying
by William Faulkner
The Goldfinch
by Donna Tartt
The Magic Mountain
by Thomas Mann
The Lost Man
by Jane Harper
The Age Of Light
by Whitney Scharer
The Hobbit
by J. R. R. Tolkien
The President is Missing
by James Patterson, Bill Clinton
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
Statistics Assignment
Hypothesis testing is the foundation of conducting research in psychology. Researchers must first determine the question t ...
Statistics Assignment
Hypothesis testing is the foundation of conducting research in psychology. Researchers must first determine the question they wish to answer and then state their prediction in a null hypothesis and an alternative hypothesis. Once the hypotheses are stated, researchers move on to data collection. However, once the results come in, the real challenge is to determine if they have meaning; that is, are the results statistically significant or just due to random variation? This application will allow you to practice hypothesis testing by using z-scores to compare a single score to a population mean in order to determine if results are statistically significant. Scenario: Lucy wants to know how her fourth-grade daughter, Monica, scored on a test of reading comprehension compared to the population of other fourth graders in the school district. Luckily, Lucy has taken this course and knows that a z-score will help her understand Monica’s reading score in relation to the population. You can find the data for this Assignment below:Data Set: Monica’s reading comprehension score = 61 Mean fourth grade reading comprehension score = 54 Standard deviation of the fourth grade’s reading comprehension = 2.4 Monica’s z-score in math = 1.10 Mean fourth grade math score = 151 Standard deviation of the fourth grade’s math scores = 12.2 To complete this Assignment, submit responses to the following: State the dependent variable. A dependent variable measures the behavior or attitude of a participant and depends on the participant’s reaction to a condition, or the category of the independent variable that creates the situation under which participants are studied (Heiman, 2015). In this scenario, the dependent variable is Monica’s test scores because they depend on her reaction to the independent variable, which in this case are her reading and math tests. PLEASE CHECK MY ANSWER2. Explain whether Lucy should use a one-tailed or a two-tailed z-test and explain why. A one-tailed test is preformed when you want to predict that the dependent scores, in this case Monica’s test score, will only increase or will only decrease (Heiman, 2015). A two-tailed test is used when you do not predict whether dependent scores will increase or decrease Heiman, 2015). Since it is not indicated in this week’s instructions that Lucy did or want to make any predictions about Monica’s tests score and a , I suggest that she use a two-tailed test z-test. PLEASE CHECK MY ANSWER3. State the null hypothesis in words (not formulas).4. State the alternative hypothesis in words (not formulas).5. Calculate the obtained z-score by hand. Describe your calculations (i.e., show your work).To obtain Monica’s z-score for reading, I had to subtract her raw reading comprehension score of 61 by the mean of all fourth grade reading comprehension scores , which is 54. Then I divided the difference of 7 by the standard deviation of the fourth grade’s reading comprehension, 7 divided by 2.4 is 2.92, which brings me to the conclusion that the z-score for Monica’s reading comprehension is positive 2.92 and it fall above the mean by 2.92 standard deviations (Heiman, 2015).Z= (61-54)/2.4Z= 2.92PLEASE CHECK MY ANSWER6. When alpha is set at .05, the critical value is ± 1.96. Should the null hypothesis be retained or rejected? Explain why. When alpha is set at .05 and the critical value is negative or positive 1.96, the null hypothesis should be rejected because.......THIS IS NOT ANSWER, I TRIED TO UNDERSTAND THIS BUT I AM LOST7. Are the results statistically significant? How do you know?8.What should Lucy conclude about Monica’s reading comprehension score in comparison to the population? PLEASE FULLY EXPLAIN ALL CALCULATIONS AND ANSWERS TO QUESTIONS
MAT 240 Southern New Hampshire University Real Estate Company Discussion
CompetenciesIn this project, you will demonstrate your mastery of the following competencies:Apply statistical techniques ...
MAT 240 Southern New Hampshire University Real Estate Company Discussion
CompetenciesIn this project, you will demonstrate your mastery of the following competencies:Apply statistical techniques to address research problemsPerform regression analysis to address an authentic problemOverviewThe purpose of this project is to have you complete all of the steps
of a real-world linear regression research project starting with
developing a research question, then completing a comprehensive
statistical analysis, and ending with summarizing your research
conclusions.ScenarioYou have been hired by the D. M. Pan National Real Estate Company to
develop a model to predict median housing prices for homes sold in 2019.
The CEO of D. M. Pan wants to use this information to help their real
estate agents better determine the use of square footage as a benchmark
for listing prices on homes. Your task is to provide a report predicting
the median housing prices based square footage. To complete this task,
use the provided real estate data set for all U.S. home sales as well as
national descriptive statistics and graphs provided.DirectionsUsing the Project One Template located in the What to Submit section,
generate a report including your tables and graphs to determine if the
square footage of a house is a good indicator for what the listing price
should be. Reference the National Statistics and Graphs document for
national comparisons and the Real Estate County Data spreadsheet (both
found in the Supporting Materials section) for your statistical
analysis.Note: Present your data in a clearly labeled table and using clearly labeled graphs.Specifically, include the following in your report:IntroductionDescribe the report: Give a brief description of the purpose of your report.
Define the question your report is trying to answer.Explain when using linear regression is most appropriate.
When using linear regression, what would you expect the scatterplot to look like?
Explain the difference between response and predictor variables in a linear regression to justify the selection of variables.
Data CollectionSampling the data: Select a random sample of 50 counties.
Identify your response and predictor variables.
Scatterplot: Create a scatterplot of your response and predictor variables to ensure they are appropriate for developing a linear model.Data AnalysisHistogram: For your two variables, create histograms.Summary statistics: For your two variables, create a table to show the mean, median, and standard deviation.Interpret the graphs and statistics:
Based on your graphs and sample statistics, interpret the center,
spread, shape, and any unusual characteristic (outliers, gaps, etc.) for
the two variables.Compare and contrast the shape, center, spread, and any unusual
characteristic for your sample of house sales with the national
population. Is your sample representative of national housing market
sales?
Develop Your Regression ModelScatterplot: Provide a graph of the scatterplot of the data with a line of best fit.
Explain if a regression model is appropriate to develop based on your scatterplot.
Discuss associations: Based on the scatterplot, discuss the association (direction, strength, form) in the context of your model.
Identify any possible outliers or influential points and discuss their effect on the correlation.Discuss keeping or removing outlier data points and what impact your decision would have on your model.
Find r: Find the correlation coefficient (r).
Explain how the r value you calculated supports what you noticed in your scatterplot.
Determine the Line of Best Fit. Clearly define your variables. Find and interpret the regression equation. Assess the strength of the model.Regression equation: Write the regression equation (i.e., line of best fit) and clearly define your variables. Interpret regression equation: Interpret the slope and intercept in context.Strength of the equation: Provide and interpret R-squared.
Determine the strength of the linear regression equation you developed.
Use regression equation to make predictions: Use your regression equation to predict how much you should list your home for based on the square footage of your home.ConclusionsSummarize findings: In one paragraph, summarize
your findings in clear and concise plain language for the CEO to
understand. Summarize your results.
Did you see the results you expected, or was anything different from your expectations or experiences?
What changes could support different results, or help to solve a different problem?Provide at least one question that would be interesting for follow-up research.
What to SubmitTo complete this project, you must submit the following:Project One Template: Use this template to structure your report, and submit the finished version as a Word document.Supporting MaterialsThe following resources may help support your work on the project:Document: National Statistics and GraphsUse this data for input in your project report.Spreadsheet: Real Estate County DataUse this data for input in your project report.Tutorial: Downloading Office 365 ProgramsUse this tutorial for support with Office 365 programs.
The Payment Time Case (NO PLAGIARISM)
Purpose of Assignment The purpose of the assignment is to develop students' abilities in using datasets to apply the conce ...
The Payment Time Case (NO PLAGIARISM)
Purpose of Assignment The purpose of the assignment is to develop students' abilities in using datasets to apply the concepts of sampling distributions and confidence intervals to make management decisions. Assignment Steps Resources: Microsoft Excel®, The Payment Time Case Study, The Payment Time Case Data Set Review the Payment Time Case Study and Data Set. Develop a 700-word report including the following calculations and using the information to determine whether the new billing system has reduced the mean bill payment time:Assuming the standard deviation of the payment times for all payments is 4.2 days, construct a 95% confidence interval estimate to determine whether the new billing system was effective. State the interpretation of 95% confidence interval and state whether or not the billing system was effective.Using the 95% confidence interval, can we be 95% confident that µ ≤ 19.5 days?Using the 99% confidence interval, can we be 99% confident that µ ≤ 19.5 days?If the population mean payment time is 19.5 days, what is the probability of observing a sample mean payment time of 65 invoices less than or equal to 18.1077 days? Format your assignment consistent with APA format. With Three references
MAT 230 Southern New Hampshire University Mod 2 Discrete Mathematics Exercises
Please this assignment requires to show step by step "Be sure to show all steps for arriving at your solution. Just giving ...
MAT 230 Southern New Hampshire University Mod 2 Discrete Mathematics Exercises
Please this assignment requires to show step by step "Be sure to show all steps for arriving at your solution. Just giving a final number may not receive a full grade." attach here is the assignment
Earn money selling
your Study Documents