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What is the difference between descriptive and inferential statistics? Provide examples of each and explain how you could apply both in your work environment.
It now has to decide which option is the best using probability analysis, the decision tree model, and expected monetary value.
It should be a complete, polished artifact containing all of the critical elements of the final product.
The final paper provides you with an opportunity to integrate and reflect on what you have learned during the class.
Determine the sample process including sample contact, survey distribution, and survey collection.
You will do a significant portion of work in MS Excel and import it into an MS Word document. You will use the data below to address Price and Output decision
Create a 10- to 15-slide presentation discussing your statistics project data analyses. Include the following in your presentation:
Any conclusion drawn for the t-test statistical process is only as good as the research question asked and the null hypothesis formulated.
Each of these scenarios include a research question. You will examine each scenario, choose a categorical data analysis and run a sample test.
Your supervisor has asked you to prepare a brief report comparing the sales volumes and the consistency of sales of these four salespersons.
Define collaboration and how you will apply it in this course based upon the discussion with your Learning Team. Be sure to reference and cite your sources.
Discuss methods a researcher might use to assure that she is not being unduly influenced by personal motivations.
When are inferential and descriptive statistics appropriate in criminal justice statistics?
For the process you chose in 1-3, set the following values: process target (Ï ), upper specification (U), and lower specification (L).
Discuss the importance of ensuring that data collection methods and instruments are both reliable and valid.
Are Kids Too Busy? Early Adolescents' Perceptions of Discretionary Activities, Overscheduling, and Stress.
Analyze the data with MegaStat®, StatCrunch®, Microsoft® Excel®or other statistical tool(s), including:
Explain the definition and role of each of the following components of probability sampling: element, population, study population, random selection.
A sample is a finite part of a population whose properties are studied to gain information about the whole.
Determine the appropriate statistical tool to test the hypothesis based on the research question.
A standard deviation is a _____. A standard deviation is a _____.
Consider a binary separator used to separate aluminum cans from glass.
What is the importance of a 5% significance level? Why would you choose 5% as opposed to 10% or 1%?
If the variance of a data set is zero, then all the observations in this data set are zero.
How many Kanban containers would Jewel require if a 10% policy variable is used?