##### Basic Statistics :

Explain why companies need turnover statistics. Explain how turnover and retention metrics can be used as a strategic planning tool.

##### Applied Statistics :

Identify critical values for the test statistics and state the decision rule concerning when to reject or fail to reject the null hypothesis of no relationship.

##### Applied Statistics :

What do the results tell us about your hypotheses? What conclusions can we draw from these results? What conclusions can we NOT make using these results?

##### Basic Statistics :

Explain the diagnosis by matching the symptoms identified in the case to the specific criteria for the diagnosis.

##### Applied Statistics :

Explain what it means to say, variables must vary. Compare and contrast the characteristics of continuous and discrete variables.

##### Applied Statistics :

Calculate the mean, standard deviation, skew, 5-number summary, and interquartile range (IQR) for each of the variables.

##### Applied Statistics :

From the case study, determine the challenges faced by the Help Desk at Bank USA and suggest strategies to mitigate them.

##### Applied Statistics :

Discuss the nature of the current database. What variables were analyzed? Summarize your descriptive statistics findings from Excel.

##### Basic Statistics :

What is a rule-based classifier? What is the difference between nearest neighbor and naïve bayes classifiers?

##### Applied Statistics :

What are some potential reasons to explain the changes in Hertz's depreciation of its revenue-earning equipment?

##### Applied Statistics :

Find the probability that the customer consumes less than 2546 calories. What proportion of the customers consume over 3082 calories?

##### Basic Statistics :

What was your age (in years) on the first day of our course? What is your gender?

##### Basic Statistics :

Explain what the following statement means: Correlation not causation. In other words, why can't you prove causation with correlational studies?

##### Basic Statistics :

Describe and measure data. Solve problems related to probability. Make inferences about a population.

##### Basic Statistics :

Identify the source of the variable/construct. Describe how the variable/construct is scored.

##### Applied Statistics :

You would like to be 98% confident that you estimate is within 1% of the true population proportion. How large of a sample size is required?

##### Basic Statistics :

Discuss how health and illness beliefs can influence the assessment process. You can use your textbook or any other evidence-based sources.

##### Basic Statistics :

State which statistic you selected. What level of measurement is required for using your selected statistical test?

##### Applied Statistics :

Discuss the nature of the current database. What variables were analyzed? Summarize your descriptive statistics findings from Excel.

##### Basic Statistics :

What decision should the researcher make about the hull hypothesis in this study and what can the researcher conclude about their prediction from this decision?

##### Applied Statistics :

Describe your go-to meal from any restaurant that you regularly go to. Include the name of the restaurant in your description.

##### Applied Statistics :

Select a company that you believe has an ethical culture. Explain why you selected that company. Also give some examples.

##### Applied Statistics :

How might the agency have avoided this emergency situation? How might the funding source have helped avoid the situation?

##### Applied Statistics :

Create a box-plot for the Annual Sales variable. Does it look symmetric? Would you prefer IQR instead of standard deviation to describe variable' dispersion?

##### Basic Statistics :

Discuss how probability and statistics are related and the differences between the two fields of mathematics.