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The order was placed through a short procedure (customer skipped some order details).
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The booking conversion rate for mobile visitors prior to the enhancement was 6%
The new mobile visitor conversion rate is 10%
Mobile visitors are 25% of all unique visitors
We receive 100k total unique visitors per month
Average revenue per booking is $30
How much incremental annual revenue will be driven by this improvement?
If the enhancement cost us $30,000 to implement, was this a good investment?
two questions need to be answered. This is based on an ecommerce website.Pretend the business is a ecommerce
Details attached, for assignment purposes my ordered pairs are (3,2) (6,9)
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The order was placed through a short procedure (customer skipped some order details).
Please clarify some paper details before starting to work on the order.
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Type of service (writing, rewriting, etc)
Lab Ground Reaction Forces
Please complete the lab document all necessary documents and charts are attached. Thank you!
Option #2: Exponential Growth Project
In the popular movie and book, Pay it Forward, a student is challenged by his teacher to find a way to change the world. The student decides to help three people in need, and after doing so tells each of those three people to help three more people in need, and so on. Hence the saying “Pay it Forward”. Let’s take this idea and roll with it, and explore the mathematics behind this process.
Using the above scenario as the guiding prompt for the project, you will first create a Tree Diagram that models this scenario for four rounds. Use Google Drawings or another diagram creating program.
Then, using any table generating program, create a table of values that shows the number of people helped per round for six rounds. From your created table, derive the equation that models the results.
Using Desmos, construct a graph of the derived equation and save the graph as a PDF.
You will produce a report that includes the tree diagram, table, derived equation, and graph, as well as a brief 2-3 paragraph analysis which will include the following:
Connection of the results to that of linear growth and exponential growth and state which of the two is being represented by this scenario and why it’s the better fit.
State a prediction based off the equation and/or graph for how many people will have been helped after 10 rounds. Is this surprising?
Interpret the existence of y-intercepts and x-intercepts of the graph. If they exist, state what they are. If they do not exist, explain why.
Your final submission includes the written report as a Word doc or PDF format.
Answer questions in detail (275 words):
Why do we use the unit radians instead of degrees?
Is it always better to use radians? Why or why not?
Why do we use trigonometric ratios?
Math Multiplication/Division Strategies Presentation Grading Criteria
You will create an original 3-5 minute (5-8 slides) presentation highlighting a minimum
of 2 strategies that can be used to teach students the concept of multiplication and/or
division. You will choose a technology tool that you will use for your presentation (a
narrated PowerPoint, a narrated Prezi, a YouTube video, or something that is a
combination of tools such as Jing or Screencast-o-Matic). You MUST have an oral AND
visual component.
A. Your presentation needs to contain visual demonstrations of the strategies
chosen (i.e. pictures/video of you utilizing these with a child)
B. A thorough rationale for your choices, using information from the textbook and
other sources to validate your choices
C. A detailed discussion on how these specific strategies will help students learn the
content, citing evidence as appropriate
D. An explanation of the relationship between multiplication and division and at least
one other math concept (i.e. fractions).
E. Must be creative and original work, citing/referencing research, actual teacher
experiences, etc. A minimum of 3 sources should be used. All sources, including
publicly available images, will need to be cited in a reference section at the end
of your presentation. This assignment is due Sunday (11:59 pm) of Week 4
Competencies In this project, you will demonstrate your mastery of the following competencies: Apply statistical techniques to address research problems Perform regression analysis to address an authentic problem Overview The 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. Scenario You have been hired by the D. M. Pan National Real Estate Company to develop a model to predict 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 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. Directions Using 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 Data Spreadsheet 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: Introduction Describe 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 predictor (x) and response (y) variables in a linear regression to justify the selection of variables. Data Collection Sampling the data: Select a random sample of 50 houses. Describe how you obtained your sample data (provide Excel formulas as appropriate). Identify your predictor and response variables. Scatterplot: Create a scatterplot of your predictor and response variables to ensure they are appropriate for developing a linear model. Data Analysis Histogram: Create a histogram for each of the two variables. 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 house sales and square footage. Compare and contrast the center, shape, spread, and any unusual characteristic for your sample of house sales with the national population (under Supporting Materials, see the National Summary Statistics and Graphs House Listing Price by Region PDF). Determine whether your sample is representative of national housing market sales. Develop Your Regression Model Scatterplot: Provide a scatterplot of the variables with a line of best fit and regression equation. Based on your scatterplot, explain if a regression model is appropriate. 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. Calculate r: Calculate 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. For example, answer the questions: what does the slope represent in this situation? What does the intercept represent? Revisit the Scenario above. 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 assumed square footage of your home at 1500 square feet. Conclusions Summarize 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. You can use the following tutorial that is specifically about this assignment. Make sure to check the assignment prompt for specific numbers used for national statistics. The videos may use different national statistics. You should use the national statistics posted with this assignment. MAT-240 Module 4 Project One Video What to Submit To complete this project, you must submit the following: Project One Template Word Document: Use this template to structure your report, and submit the finished version as a Word document.
Please take my mathematics placement exam and get above a 70%.
I will pay very well if you do this exam and help me place into Calculus I.
The exam is unproctered but you will need to have webcam access.
I will give you the login information to take the exam.
hello
I have an assignment for math 131 , hope to find an explanation and answers ASAP
* Please no handwriting , use Microsoft Word