Mathematics – Statistics

 Time series are particularly useful to track variables such as revenues, costs, and profits over time. Time series models help evaluate performance and make predictions. Consider the following and respond in a minimum of 175 words: Time series decomposition seeks

Lottery games are very popular, but what are the actual probabilities that a ticket purchased is going to win? Calculate the probability of winning some of the more popular games. A game that draws 3 digits from 0-9 from three

Write down your initial instinct of what you would do if on the game show. Based on what youve learned about probability and statistics, how would you solve the problem and figure out your odds for staying with door #1,

1. (6 points) Moving Average Forecasting  – In Excel, create three different moving average forecasts with periods of 2, 3, and 5 (k = 2, 3, 5). Compute the mean squared error (MSE) from each of these forecasts.  – Create

In 1- 2 pages: What did you learn from your group project as it pertains to marketing research and the associated statistical analysis? Please be as specific as possible. What was your individual contribution to the project?  Please be as

This task assesses the following learning outcomes:  Understand statistical language, statistical context and develop statistical thinking.  Design statistical models, perform analysis and solve real-world problems.  Interpret results of statistical analysis. Task: You are required to answer all the questions and

  Estimating the cost of developing software in terms of work load is difficult since it is a challenge to quantify the size and complexity of a software system. The article Analysis of Size Metrics and Effort Performance Criterion in

Section 2: The multiple linear regression model Fit a preliminary model. At this point, do not discuss the regression output. Check model assumptions (e.g., constant variance, normality, and uncorrelated errors if relevant) and diagnostics (outliers, leverage, influence, variance inflation); conduct

Interim report (5-7 pages description of the progress of the project, alone with the Excel file) due. Your progress report should discuss in detail the specific problem on which the team has been working. It should contain the detailed description of

Section 2: The multiple linear regression model Fit a preliminary model. At this point, do not discuss the regression output. Check model assumptions (e.g., constant variance, normality, and uncorrelated errors if relevant) and diagnostics (outliers, leverage, influence, variance inflation); conduct