Tag: statistics

In this project, you will develop a best fitting regression model to predict home prices from several variables using a random sample of 1,000 houses located in the greater Wilmington, Delaware area (Home Prices Data Set.xlsx).  The data set contains 5 variables: price of the home, living area (square feet), number of bedrooms, number of […]

Overview: This assignment, requiring background and audience analysis, is the first milestone for the final project. To complete this assignment, you will analyze who the audience is to determine what type of data visualization will create the most impact and provide the most information. Prompt: Scenario: You are working as a data scientist contracted to […]

In this journal, you have the opportunity to discuss privately with your instructor the status of your final project. At this point, you have completed all of your milestones and have received feedback, and you should be preparing to hand in your final project in Module Nine. What questions do you have for your instructor […]

Module 7 Discussion: For your initial post, choose one of the following two prompts to respond to. Then in your two follow up posts, respond at least once in each option. Use the discussion topic as a place to ask questions, speculate about answers, and share insights. Be sure to embed and cite your references […]

Discuss an example of a professional decision-making situation for which you believe it would potentially be beneficial to use simple or multiple linear regression analysis to improve the quality of the decision-making process. You shall be expected to select a situation that involves a decision-making process that is complex and involves important outcomes. Your posting […]

QlikView: Hospital Activity   Overview In order to complete this assignment, you will: Use the attached data file to create the hospital dashboard as shown in the Qlik Hospital Activity document.   Write a 1- to 2-page report regarding your overall experience with QlikView and provide a brief comparison to Google Public Data. Submit the […]

Answer the following questions: Which of the data visualizations was most powerful for you? Why? How can a powerful presentation of data affect learning and understanding?

A recent marketing survey related consumers’ awareness of a new marketing campaign with their rating of the product. A sample of consumers rated their awareness as “LOW” or “HIGH” and rated the product as “POOR” or “GOOD”. In the survey they found that P(POOR|LOW)=0.25, P(HIGH|POOR)=0.8, P(GOOD|LOW)=0.75 and P(HIGH|GOOD)=0.4. Fill in the below table and create […]