For this discussion: Explain the importance of the correlation coefficient in a multiple regression model. Support your reasoning with an example. Be sure to respond to at least one of your classmates’ posts. Cite any resources used.
Week 5 Assignment – Case Study: Statistical Forecasting Dr. Megan Zobb, a key researcher within the North Luna University Medical Center, has been studying a new variant of a skin disease virus that seems to be surfacing among the North Luna University population. This variant (which has been tentatively named Painful Rash or PR), […]
WEEK 5 ASSIGNMENT – CASE STUDY: STATISTICAL FORECASTING Week 5 Assignment – Case Study: Statistical Forecasting Dr. Megan Zobb, a key researcher within the North Luna University Medical Center, has been studying a new variant of a skin disease virus that seems to be surfacing among the North Luna University population. This variant (which […]
Is there evidence that the population mean bus-miles is greater than 8,000 bus-miles? (Use a 0.05 level of significance.)
Describe your approach to solving the problem below; solve the exercise; explain with calculations and verbiage each step of the hypothesis testing procedure, and then write a two-sentence summary of the conclusion based upon your solution. 9.46 The Washington Metropolitan Area Transit Authority has set a bus fleet reliability goal of 8,000 bus-miles. Bus reliability […]
Directions: Choose a quantitative variable. Measure it on two different samples of 10, drawn from two different populations. For example, you might ask the number of cups of coffee consumed daily by 10 men vs 10 women. Provide a description of the data selected, as well as the two different populations you chose. Record the […]
How you would use descriptive statistics in your current or a former place of employment to visualize information specific to your industry?
Reflect on the following questions in a minimum of 800 words. Reflection #1: How you would use descriptive statistics in your current or a former place of employment to visualize information specific to your industry? What type of research might you use to make decisions related to your organization? Assess how you would use statistics […]
Question 1 Explain the following concepts: (a) Parameter (1 marks) (b) Stratified random sampling (3 marks) (c) Descriptive statistics (3 marks) (d) Inferential statistics (3 marks) Question 2 The following table displays data on height of students (measured in centimeters) in a Business Statistics class. The sample size consists of 30 randomly selected students for […]
This week explores the many ways that you can describe data, or use descriptive statistics, as the first step in your analyses. Descriptive statistics provide an overview of the basic features of a data set; it may be helpful to think of descriptive statistics as a simple summary of your data. But these simple summaries […]
“A contingency table provides a way of portraying data that can facilitate calculating probabilities (Holmes, A., Illowsky, B., & Dean, S. 2017)”. I was unable to survey half and half, however, I was pretty close. I learned that right handed people far outweighed left handed people. Part 1: A survey of 30 people to find out if […]
A Survey of 30 people to find out if they are left-handed or right-handed, and use the following chart to create a contingency table with the information. Left handed= 6 Right handed = 24 Total Female lefty =4 righty=16 Male lefty Total= 2 righty=8 Answer the following questions about the information in your contingency table: […]