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Define each of the terms in #1, and explain how each can be used to provide information about a data set.
Explain whether the non-parametric test used in the study was appropriate and why. Then, suggest one alternative test that could have been used in the study.
Based upon the readings, analyze an article published within 60 days prior to the term that deals with a perfectly competitive industry.
What are some examples, other than temperature, where similar averages can be associated with very different distributions?
Provide a scatterplot of violent crimes by year. Provide a scatterplot of property crimes by year. Interpret all statistics and graphs.
Identify the appropriate statistical test. Conduct the test and state whether to accept or reject the null hypothesis using the p-value and an alpha of .05.
What do you assume about the relationship between/among the dependent and explanatory variables and the parameters of the model.
From the spreadsheet, define what each column is telling you. Go beyond giving the name of the column. For example, what is a 30-year ROI?
What is the best source of wine in the optimum price-rating ratio? and, What is the expected price range category of newly imported wines?
Explain the practical implications of your finding. Include a reference to the R square of the model in your discussion.
In this assignment you are asked to critically evaluate an intervention using a strategic and evidence-based approach to evaluation.
Justify your position with the information from your required readings from this module about: Types of Measurement Scales.
What information would you need to test the claim that the difference in annual bonuses is greater than $100 at the 0.05 level of significance?
BUS201E- What is the probability that the sample contains fewer than 2 minorities? What is the expected number of minorities in the sample?
MSIS-111- What is the probability that the company selected has its corporate headquarters in California, New York, or Texas?
Identify the independent variable (IV). Identify the dependent variable (DV). State the second hypothesis.
Download 1 of the following datasets of offenses from the Uniform Crime Report:
The research team is interested in estimating a 95 % confidence interval for the proportion of employees. What is the minimum sample size required?
Summarize the study being discussed in your article and identify: The independent and dependent variables.
What is the probability of tourism being fewer than 60 million visitors? What is the probability of the Florida residents median age being over 40 years of age?
In how many different industries is Honeywell involved? Would you describe Honeywell as a related or unrelated diversification company?
Solve the following 3 variable problem in Excel. All variables are non-negative.
The proposed topic would be "Relationship between stress and job satisfaction", using data on Employment/Labor/Class.
What are the dependent and independent variables in this scenario?
What would you have done differently in this case? Why? Identify how the authors applied statistical testing to the problem.