After the main test you can use post-hoc analysis to look at pairwise comparisons.
Ask your instructor for specific information regarding the analysis you are required to perform for your data set. Answer question 62 in the Data Set Exercises from Ch. Week 4 DQ4 Please explain terms related to hypothesis testing; please explain null and alternate hypotheses, explain the difference between two different test statistics, then define the equations used in both.
Why do null and alternative hypotheses have to be mutually exclusive? Week 4 DQ3 Please explain the five steps used in hypothesis testing. How does the five-step procedure for hypothesis testing differ when comparing two groups using a t- or z-test?
How is the process similar? Week 4 DQ2 Why does the significance level differ among industries? What can be done to reduce the likelih.
Week 4 DQ1 What are some terms related to hypothesis testing with which you Summarizing and presenting data final already familiar? The steps in testing a research hypothesis Comparing the means of two or more groups Calculating the correlation between. Answer question 54 both parts a.
Week 3 DQ4 What are the characteristics of standard normal distribution? Explain how to calculate the z-test static.
Week 3 DQ3 What are the basic differences between a discrete and a continuous distribution? Week 3 DQ2 What is the role of probability concepts in business decision-making? Week 3 DQ1 What are the differences between probability and coincidence?
Can the probability be more than 1 or less than 0? Explain why or why not.
Revise the report submitted in Week Two based on the feedback provided by the instructor in the team assignment, and insight gained by reading. Summarize the data collected using.
Answer question 34 in the Data Set Exercises from Ch. Week 2 DQ5 Why is the population shape a concern when estimating a mean? What effect does sample size, n, have on the estimate of the mean? Week 2 DQ4 Does all data have a mean, median, or mode?
Why or why not?
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When is the mean the best measure of central tendency? When is the median the best measure of central tendency? Week 2 DQ3 What level of data is a telephone number? Week 2 DQ2 Describe a business situation, other than what has already been selected by fellow students or selected from the team assignment, where mean and standard deviation can be used in decision making.
Describe how calculation of mean and standard deviation can help in making a decision Week 2 DQ1 Can mean, median, or mode be calculated from all statistical data?
Week 1 DQ6 What are the four data measurement scales? Provide two examples and explain the importance of each in business research.
Week 1 DQ5 What is the importance of statistics in business decision making?
Describe a business situation where statistics was used in making a decision. Week 1 DQ4 How would you define a variable?
What is the difference between a dependent and independent variable? Do you think both variables are used in every research? Identify the level of measurement used for each. Week 1 DQ2 How would you define dependent and independent variables? What is their significance in research?
Week 1 DQ1 Where would you see descriptive statistics used in your work place?
Identify different types of statistics. Describe the role of statistics in business decision making.View Essay - Summarizing and Presenting Data Paper Team A FINAL from BSM QNT at University of Phoenix.
SUMMARIZING AND PRESENTING DATA PAPER Summarizing and Presenting Data Paper Christa Jopp. Summarizing data effectively to communicate concepts with clarity to ensure an understanding by an audience is important when presenting.
The central location comprised of mean, median, and mode, followed by the measure of dispersion; standard deviation, variance, skewness, and coefficient of.
Join Dennis Taylor for an in-depth discussion in this video Summarizing data from diverse ranges with Data > Consolidate, part of Excel Tips Weekly. Ask the right questions, manipulate data sets, and create visualizations to communicate results.
This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results.
Statistics – A guide. These pages are aimed at helping you learn about statistics. Why you need them, what they can do for you, which routines are suitable for your purposes and how to carry out a range of statistical analyses. This study guide will prepare you for the Final Examination you will complete in the final week.
It contains practice questions, which are related to each week’s objectives. In addition, refer to each week’s readings and your student guide as study references for the Final Examination.