DQ 3 Algebra! Appreciate your help!
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- . Suppose a rational function R(x) has the horizontal asymptote y = 3/2. Explain the behavior of the function as the
variable x increases without bound.
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Project Description:Identify and analyze a real-life, business application of statistics.The “business” can be a for-p ...
msn 601 project
Project Description:Identify and analyze a real-life, business application of statistics.The “business” can be a for-profit, non-profit, small or large entity.The following are not acceptable topics:
A specific application/problem discussed in class
An application that uses descriptive statistics (i.e., graphs, percentages, measures of central tendency or dispersion)
The statistical procedure you choose to illustrate MUST be one that was covered in this course. You do not have to collect actual data from a business or apply the statistical procedure/calculate an answer.To complete your project, copy and paste the form on the second page of this document.Then, fill in all the blanks.You can adjust the size of the answer spaces as necessary – the lines are just there to indicate where the answers go.Do not hand in this instruction page.Criteria & Administration:Be concise.Your project submission must not exceed two (2) pages in length (12-point font). You must write this.Copies of documents/analyses written by someone else will not be accepted. Submit this project via the course website.The form provided is in bold font.Do not use bold font for your responses.Using a colored font (other than red) for your responses is preferable.Hints:If you need help finding ideas for business applications, read the problems at the end of the relevant sections/chapters of the textbook.These problems usually include a business application/context.And, you can always “Google it.”If you have difficulty finding an actual business application, you can design and propose one for a specific business.
Please give examples of how graphs are used in your life at home, business, investments, sports, etc., assignment help
Please give examples of how graphs are used in your life at home, business, investments, sports, etc.Please respond to my ...
Please give examples of how graphs are used in your life at home, business, investments, sports, etc., assignment help
Please give examples of how graphs are used in your life at home, business, investments, sports, etc.Please respond to my discussion question by clicking on the Reply button after this section. When you reply to another student’s comments, click on Reply after their comments.EXAMPLE:Hello!Well, there are many sports I like to watch and play. I think baseball would be one that comes to mind because I played softball outside of high school. So many stats can be graphed. For me as a batter, I would want to see my home runs per pitcher, strikeouts per pitcher, etc. on a line graph.
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You wish to conduct an ANOVA (one way/omnibus) in your ASCI 691 capstone project. In order to insure you have enough power to detect differences in ...
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Colorado University Application of Correlation & Regression Discussion
Your task for this discussion is as follows:
Use the internet to find a website that shows an example or applicat ...
Colorado University Application of Correlation & Regression Discussion
Your task for this discussion is as follows:
Use the internet to find a website that shows an example or application of correlation or regression in an area of interest in your personal or professional life.
Discuss how correlation or regression was used, summarize your findings, and share them.
Be sure to include the independent and dependent variable - discuss the impact/relevance of the independent variable.
here is an example post:
Hello Class,
For this week’s discussion I was intrigued by a real life example from a case study of SAT and College GPA scores that used a linear regression analysis. The study involved examining high school grades (GPA) of students to predict college performance (GPA) of 105 computer science majors. According to Holmes et al. (2017), regression analysis is a valuable method used to determine whether or not a cause and effect relationship exists and also measures the magnitude of that relationship. Hence, a scatter plot and approximation with a line of best fit is developed from the data points that can be represented by a simple linear equation, Y’=bX + A. A simple linear regression refers to a method for studying the association between two variables where one variable is the predictor or independent variable (known as the explanatory variable, X), and the other is the dependent variable, Y (Gopalan, 2020). Thus, a change in one variable can be used to predict the effects on another.
Source: University GPA as a function of High School GPA (Lane, n.d.).
In order to study the relationship between high school GPA and University GPA, a scatter plot was constructed (displayed above). It was determined that there was also a strong positive relationship among the variables with a correlation of 0.78 (Lane, n. d.). The regression equation used in the case study was Y’=bX + A: “University GPA’ = (0.675)(High School GPA) + 1.097, where, Y` denotes the predicted value (University GPA) , b denotes the slope of the line (0.675), X denotes the independent variable (High School GPA), and A is the Y-intercept (1.097). Thus, a student with a 3.0 H.S. GPA was predicted to have a 3.12 GPA in the University [University GPA’=(0.675)(3.0)+1.097=3.12] (Lane, n. d.). The study proved that there was a strong positive relationship between the prior and future performance of the 'observed' sample of students. Holmes et al (2017) states that when X and Y have a positive linear relationship, an increase in X, independent variable, will increase Y, the dependent variable. In other words, the impact of higher high school GPA had a positive impact on their college GPA. Thus, we could infer that there is a strong relationship between the variables and students that did well in high school will be expected to do well in college.
Review the video on Normal Distribution in the Calculations section of the "Statistics Visual Learner" media piece.
Bob compares his SAT Verbal score of 400 to Marge's ACT Verbal score of 20. "I beat you," he exclaims. "My score is 20 tim ...
Review the video on Normal Distribution in the Calculations section of the "Statistics Visual Learner" media piece.
Bob compares his SAT Verbal score of 400 to Marge's ACT Verbal score of 20. "I beat you," he exclaims. "My score is 20 times your score!" Although his multiplication is good, his logic is faulty. Explain why.
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msn 601 project
Project Description:Identify and analyze a real-life, business application of statistics.The “business” can be a for-p ...
msn 601 project
Project Description:Identify and analyze a real-life, business application of statistics.The “business” can be a for-profit, non-profit, small or large entity.The following are not acceptable topics:
A specific application/problem discussed in class
An application that uses descriptive statistics (i.e., graphs, percentages, measures of central tendency or dispersion)
The statistical procedure you choose to illustrate MUST be one that was covered in this course. You do not have to collect actual data from a business or apply the statistical procedure/calculate an answer.To complete your project, copy and paste the form on the second page of this document.Then, fill in all the blanks.You can adjust the size of the answer spaces as necessary – the lines are just there to indicate where the answers go.Do not hand in this instruction page.Criteria & Administration:Be concise.Your project submission must not exceed two (2) pages in length (12-point font). You must write this.Copies of documents/analyses written by someone else will not be accepted. Submit this project via the course website.The form provided is in bold font.Do not use bold font for your responses.Using a colored font (other than red) for your responses is preferable.Hints:If you need help finding ideas for business applications, read the problems at the end of the relevant sections/chapters of the textbook.These problems usually include a business application/context.And, you can always “Google it.”If you have difficulty finding an actual business application, you can design and propose one for a specific business.
Please give examples of how graphs are used in your life at home, business, investments, sports, etc., assignment help
Please give examples of how graphs are used in your life at home, business, investments, sports, etc.Please respond to my ...
Please give examples of how graphs are used in your life at home, business, investments, sports, etc., assignment help
Please give examples of how graphs are used in your life at home, business, investments, sports, etc.Please respond to my discussion question by clicking on the Reply button after this section. When you reply to another student’s comments, click on Reply after their comments.EXAMPLE:Hello!Well, there are many sports I like to watch and play. I think baseball would be one that comes to mind because I played softball outside of high school. So many stats can be graphed. For me as a batter, I would want to see my home runs per pitcher, strikeouts per pitcher, etc. on a line graph.
2 pages
Sample Size G Power
You wish to conduct an ANOVA (one way/omnibus) in your ASCI 691 capstone project. In order to insure you have enough power ...
Sample Size G Power
You wish to conduct an ANOVA (one way/omnibus) in your ASCI 691 capstone project. In order to insure you have enough power to detect differences in ...
Coordinate Geometry assignment help
Complete the following assignment in the attached file showing all work. Must provide a Microsoft word doc and must ...
Coordinate Geometry assignment help
Complete the following assignment in the attached file showing all work. Must provide a Microsoft word doc and must double check to make sure all answers are correct.
Colorado University Application of Correlation & Regression Discussion
Your task for this discussion is as follows:
Use the internet to find a website that shows an example or applicat ...
Colorado University Application of Correlation & Regression Discussion
Your task for this discussion is as follows:
Use the internet to find a website that shows an example or application of correlation or regression in an area of interest in your personal or professional life.
Discuss how correlation or regression was used, summarize your findings, and share them.
Be sure to include the independent and dependent variable - discuss the impact/relevance of the independent variable.
here is an example post:
Hello Class,
For this week’s discussion I was intrigued by a real life example from a case study of SAT and College GPA scores that used a linear regression analysis. The study involved examining high school grades (GPA) of students to predict college performance (GPA) of 105 computer science majors. According to Holmes et al. (2017), regression analysis is a valuable method used to determine whether or not a cause and effect relationship exists and also measures the magnitude of that relationship. Hence, a scatter plot and approximation with a line of best fit is developed from the data points that can be represented by a simple linear equation, Y’=bX + A. A simple linear regression refers to a method for studying the association between two variables where one variable is the predictor or independent variable (known as the explanatory variable, X), and the other is the dependent variable, Y (Gopalan, 2020). Thus, a change in one variable can be used to predict the effects on another.
Source: University GPA as a function of High School GPA (Lane, n.d.).
In order to study the relationship between high school GPA and University GPA, a scatter plot was constructed (displayed above). It was determined that there was also a strong positive relationship among the variables with a correlation of 0.78 (Lane, n. d.). The regression equation used in the case study was Y’=bX + A: “University GPA’ = (0.675)(High School GPA) + 1.097, where, Y` denotes the predicted value (University GPA) , b denotes the slope of the line (0.675), X denotes the independent variable (High School GPA), and A is the Y-intercept (1.097). Thus, a student with a 3.0 H.S. GPA was predicted to have a 3.12 GPA in the University [University GPA’=(0.675)(3.0)+1.097=3.12] (Lane, n. d.). The study proved that there was a strong positive relationship between the prior and future performance of the 'observed' sample of students. Holmes et al (2017) states that when X and Y have a positive linear relationship, an increase in X, independent variable, will increase Y, the dependent variable. In other words, the impact of higher high school GPA had a positive impact on their college GPA. Thus, we could infer that there is a strong relationship between the variables and students that did well in high school will be expected to do well in college.
Review the video on Normal Distribution in the Calculations section of the "Statistics Visual Learner" media piece.
Bob compares his SAT Verbal score of 400 to Marge's ACT Verbal score of 20. "I beat you," he exclaims. "My score is 20 tim ...
Review the video on Normal Distribution in the Calculations section of the "Statistics Visual Learner" media piece.
Bob compares his SAT Verbal score of 400 to Marge's ACT Verbal score of 20. "I beat you," he exclaims. "My score is 20 times your score!" Although his multiplication is good, his logic is faulty. Explain why.
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