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Why are sampling distributions important to the study of inferential statistics? Remember to cite your resources and use your own words in your explanation.
Demonstrate your understanding of this observation by inventing business scenario that exemplifies the inverse relationship between probability and statistics.
Conduct a Chi Square Test of Independence to determine if one's choice of major is independent of their gender. Use a .05 significance level.
Discuss the concepts of Mean, Median, Mode, and Standard Deviation, including when each should be used, and evaluate the differences of each.
Calculate the sample proportion for each sample size. Calculate the single-proportion sampling error for each sample size.
Using the sample of 200 MBA students, conduct a one-sample hypothesis test to determine if the mean GPA is different from 3.50. Use a .05 significance level.
What all tests have in common is that we need to formulate a null and alternative hypothesis before we analyze any data.
You wish to learn the proportion of MBA students that are female within 3%, and with 98% confidence. How large of a sample should you get?
Produce a frequency distribution table and histogram. Describe the dependent variable measurement scale as nominal, ordinal, interval, or ratio.
Identify the hypothesis being tested, the independent variable, dependent variable and type of t-test used. Explain whether hypothesis was supported or not.
Describe your observations of the subcategories and their relationship to the key attributes within the data set.
How to insert an Excel spreadsheet into Microsoft Word? There are several ways to do it. Choose the one that works for you.
Explain what type of analysis and hypothesis test was conducted on the data collected. Summarize the survey results based on the results of data you analyzed.
Describe using peer groups in the revision process (p. 347). Peer review is a critical element in one's development as a scholar/practitioner.
Discuss the nature of the current database. What variables were analyzed? Summarize your descriptive statistics findings from Excel.
What conditions have to be true in order for a function to be continuous at a given location of its graph? What are the different types of discontinuity?
Discuss the difference between linear regression and logistic regression. Describe Excel functions used in forecasting with regression listing their parameter.
What is the standard deviation for each of the variables? What is the probability that each event occurs in each of the two variables.
Explain how the concepts of probability theory can give rise to puzzle and paradox. Explain why we cannot trust our intuition with probability.
In a three page document, discuss the benefits of the use of descriptive and inferential statistics in the managerial decision making process.
Explain how the concepts of probability theory can give rise to puzzle and paradox.
Explain the general process of hypothesis testing. Review the basic steps included in conducting a hypothesis test.
Identify and describe the ways of displaying and exploring data. Provide at least one example. Identify and describe the concepts of Probability.
Explain three reasons why it may be preferable to report a confidence interval over a P-value. Provide a specific example to justify your reasons.
Provide and explain a specific example of the application of the four steps process in a managerial decision-making.