Category: Mathematics

Complete both problems. Your first problem will be assigned by the first letter of your last name as it appears on the class roll. Guidance is provided in the Discussion Questions document on how to complete each problem. Include both your solutions and hand sketches in your document and submit them as one PDF document for your initial discussion reply.
ATTACHED IS THE DOCUMENT WHERE THE QUESTIONS ARE. 
MY LAST NAME STARTS WITH A “M”

Your goal is to compare the vertical alignment of the Virginia Standards of Learning Rational Equivalencies with the recommendations from the Elementary Middle Mathematics – Teaching Developmentally book. 
Select a grade level (that deals with rational numbers) and then rational number
equivalency concept from the chart (example 4.2b – represent equivalent fractions).  Go to https://www.doe.virginia.gov/teaching-learning-assessment/instruction/mathematics/standards-of-learning-for-mathematicsLinks to an external site.; scroll down a little to see various documents. 
Download/Open the Standards of Learning Document (ADA Compliance Version) for the grade level you choose (might not be be the one you teach).
Identify the essential knowledge & skills and understanding the standards related to your chosen concept.
Your paper must consist of:
Stating the skill with the supporting details from the Virginia Standards of Learning document found in the essential knowledge and skills and understanding the standards sections.
Using the Elementary Middle Mathematics – Teaching Developmentally textbook (Chapter 17) expand and enhance the concept using examples and explanations from this text. You need to include a discussion of the “essentilal skills” related to rational numbers. Cite the textbook several times.
Describe how can you teach this to diverse learners.
Your paper should be a comprehensive 2-page (two full pages) review of the concept; references should go on page 3, or later.
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Progress Check
Use this activity to assess whether you and your peers can: For a linear relationship, use the least-squares regression line to model the pattern in the data and to make predictions.
Use standard error, and �2 to assess the fit of a linear equation.
Directions
Use the drop-down menu to learn about the three steps needed to complete this assignment.
Three steps to complete the assignmentContext
The Inclusive Internet Index assesses and compares countries according to their readiness for the adoption and beneficial use of the internet. Its purpose is to outline the current state of internet inclusion around the world and to help policymakers and influencers gain a clearer understanding of the factors that contribute to wider and sustainable inclusion. The Inclusive Internet Index is a study commissioned by Facebook and implemented by the Economist Intelligent Unit
We’ll use the raw data from 2019 or 2020 to determine which of two explanatory variables is the better predictor of the response variable.
Variables
First explanatory variable: lit-level = the percentage of a country’s population that can read and write
Second explanatory variable: percent-schools-w-net = the percentage of a country’s schools with student internet access
Response variable: percent-female-net = the percentage of a country’s female population with internet access
Data
Open the inclusive-internet data set in the Stats at Cuyamaca College group on StatCrunch (directions). Prompt
We’ll use StatCrunch to produce the scatterplot with its least-squares regression line, the regression equation, r-squared, and the standard error for two different regression models. Then we’ll determine which model is the best predictor of the response variable, percent-female-net.
Question 1
Using lit-level as the explanatory variable and percent-female-net as the response variable: graph the scatterplot with its regression line and produce the regression equation with r-squared and the standard error – all at the same time (directions). You should see page 1 of 2 of the StatCrunch output window. Copy all information above the Parameter estimates: table (do not copy the tables). Paste the information into your response.
Toggle to page 2 of 2 of the StatCrunch output window. Download the scatterplot with the regression line and embed the .png file with your response.
Write the equation of the regression equation below as displayed in page 1 of 2 of the StatCrunch output window (or even better just copy and paste the equation). Round the values to two decimal places. Identify the slope and y-intercept and interpret each in context. Identify r-squared (round to 4 decimal places). Then explain what r-squared means in context.
Identify the standard error, Se (round to 2 decimal places). Interpret the standard error in context.
Question 2
Using percent-schools-w-net as the explanatory variable and percent-female-net as the response variable: graph the scatterplot with the regression line and produce the regression equation with r-squared and the standard error – all at the same time (directions). You should see page 1 of 2 of the StatCrunch output window. Copy all information above the Parameter estimates: table (do not copy the tables). Paste the information into your response.
Toggle to page 2 of 2 of the StatCrunch output window. Download the scatterplot with its regression line and embed the .png file with your response.
Write the equation of the regression equation below as displayed in page 1 of 2 of the StatCrunch output window (or even better just copy and paste the equation). Round the values to two decimal places. Identify the slope and y-intercept and interpret each in context. Identify r-squared and round to 4 decimal places. Then explain what r-squared means in context.
Identify the standard error, Se (round to 2 decimal places). Interpret the standard error in context.
Question 3
Which regression equation is the best predictor? Use your work in Questions 1 & 2 to explain why the equation is the best predictor.
Question 4Using the regression equation that is the best predictor, estimate the percentage of a country’s female population with internet access if the explanatory variable value is 39.4%. Show some work and state your result in context. List of StatCrunch Directions
Click here for StatCrunch DirectionsModule 27 Discussion Board
Use the Module 27 discussion board (opens in a new tab) to ask questions or provide feedback about the problems in any Module 24 activity – including this peer-reviewed assignment.
Review Feedback
Instructor feedback is only available after an assignment is graded.
Use these directions (opens in a new tab) to learn how to review feedback.