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Which of the variables are qualitative and which are quantitative? Determine the level of measurement for each variable.
Determine the most interesting, unexpected, or useful piece of knowledge that you have learned. Provide a rationale for your response.
What would be the most appropriate measure of central tendency and why? Does this data represent a skewed distribution? Why or Why not?
Define the three measures of central tendency including mean, median, and mode.
Explain what the R2 means; i.e. how much of the variation in the quantity demanded does the model explain?
What dependent variable was used and how is it measured? What independent variable is used and how is it measured? What is your covariate?
Identify the wins/challenges that connect to one of the topics we are covering in the upcoming week.
Describe what was done right, what was done incorrectly, and what measures could be taken to improve infection control in each scenario.
What dependent variable was used and how is it measured? What independent variable is used? What are the possible implications of social change?
What is the best estimate of the population mean? What is the standard error of the mean? Develop a 90% confidence interval for the population mean.
Justify the selection of type of t test, and report effect size. Based on your results, provide explanation of what the implications of social change might be.
List the pros and cons of using online questionnaire for surveys.
ETH501- Research the chosen topic and create a well-balanced 2-page submission that addresses two opposing viewpoints. Do not use any quotations.
Describe why hypothesis testing is important to businesses. Report your findings from each Chi-square test that you conducted.
Explain the relationship between statistical significance and effect size.
Significance of the slope coefficient. Briefly discuss the relationship (positive or negative) between the dependent variable and the independent variable.
What would be a more appropriate way to present the information, and what would the public likely conclude about the product or situation if the information.
What is the impact of using a linear regression model in this case? What options, other than linear regression, can you see?
Discuss what are the various measures of dispersion? What are the uses of these measures and what are their limitations?
Why should research reports contain executive summaries? What should be contained in an executive summary?
For your responses to your classmates (two responses required): Discuss the relationships between the scatter plot, the correlation coefficient.
Looking at probability in research, which do you believe is the best approach between classical, empirical, and subjective? Explain.
Describe how the company could use distributions and probability statistics to learn more about how the scandal could affect its business.
Propose a survey method for collecting data and your rationale for selecting this method as it relates to your specific study idea.
What z-score did she obtain? How would you explain your conclusion to Sara without using any statistical jargon?